The move marks the end of password-based authentication for the browser’s built-in manager and a broader shift toward passwordless authentication across the Microsoft ecosystem. Users will now be required to use device-based authentication methods, such as Windows Hello (PIN, fingerprint, or facial recognition) to access their saved passwords in Edge. It’s the latest move in Microsoft’s offensive against passwords, pushing the world toward a passwordless future of passkeys and biometrics. If you haven’t set up Windows Hello yet, you should act now.

Ignas Valancius, VP of engineering at the cybersecurity company NordPass, comments:

“By disabling the master password in Edge, Microsoft isn’t just changing a setting — they’re forcing a change in habit. While biometrics and passkeys are considered more convenient and secure than passwords, this ‘cold turkey’ transition might become unpleasant for users who prefer to hold on to their passwords.

“And there absolutely are people who prefer passwords, because we’re creatures of habit. We can all relate to that feeling of being in a comfort zone and not wanting to change anything. Users who want to stick with a master password can easily find alternatives in third-party password managers. But personally I think a push toward passwordless authentication is a positive development.

“When people manage too many passwords, they tend to reuse them or create simple variations, such as changing a single letter or number. This practice creates significant vulnerabilities — if one of these accounts is breached, all other accounts sharing the same or a similar password become compromised.

“Microsoft began phasing out password authentication last year, starting with its Authenticator app. Passwords and autofill features were moved to the password manager built into the Microsoft Edge browser (similar to how the Google Chrome manager works).

“At the end of February 2026, the company removed support for master passwords in the browser. While it was no longer possible to create a new master password, existing ones continued to function — until now. After June 4, 2026, legacy master passwords will stop working entirely, and users will be able to access the password manager via device authentication only.

“Such steps taken by Big Tech companies have likely helped reduce the number of passwords people juggle. Our recent research shows that the average number of passwords an individual manages dropped from 168 in 2024 to 120 in 2026, with work-related passwords seeing a similar decrease from 87 to 67.

“Users are increasingly opting for the convenience of logging in through single sign-on (SSO) with their primary account, such as Google, Apple, or Facebook. The growing adoption and promotion of password alternatives like passkeys, Apple Face IDs, Windows Hello, and WebAuthn are contributing to this long-awaited decline. Our own offering of passkeys may also have played a role in this trend.”

The post Microsoft Pulls The Plug On Passwords appeared first on SiteProNews.

Because of AI-generated summaries, many users turn to zero-click searches, as they no longer need to click through results page links. In this article, we discuss how AI-powered search engines select what content appears in their results and how to adapt both classic SEO concepts and new GEO tactics to optimize content for AI search.

How AI Has Changed Modern Search

To better conceptualize how search engines choose what content appears in their answers, you first need to understand how AI has shifted the way that modern search engines function. The main focus of classic SEO strategies was to optimize content through keyword placement, internal linking, technical SEO, and related tactics to get a site’s webpages to rank highly on search engine results pages (SERPs).

The main objective of generative engine optimization (GEO) is to optimize content and data so they can be mentioned and cited in AI-generated summaries. Although your site’s content still needs to be understandable to your human audience, it also has to be highly digestible and easily summarized by large language models (LLMs) that power AI-powered search engines.

What Is Retrieval-Augmented Generation?

Retrieval-Augmented Generation (RAG) is the core mechanism behind AI search engines. This process starts with the traditional setup: a user submits their query, and the program retrieves relevant and authoritative source documents via a standard search index.

What makes RAG so unique is that it creates a prompt that combines the user’s original query with relevant indexed sources and instructs a large language model (LLM) to generate a synthesized answer that fully covers the topic. The final step of the process is the mechanism that provides citations linking back to supporting sources, so the user knows where each unique piece of information originated.

Adapting to AI-Friendly SEO Tactics

Because modern search engines now work so differently, businesses have to evolve their SEO strategies to stay relevant. Thankfully, some SEO fundamentals that worked for past search algorithms remain important for GEO, including keyword placement, backlinking, technical SEO, and mobile optimization. 

There are, however, distinct ways to optimize these aspects to help content be seen and chosen by AI search. Effectively combining traditional SEO with new GEO concepts is the best way to rework your content and create new content that is likely to appear in AI-generated answers.

Traditional SEO Tactics that Still Matter

Some AI visibility beginners might think that classic search engine optimization tactics no longer matter, but there are several that help get your webpages included in the traditional index that AI search engines give to their large language models before generating an answer to the user’s query.

Listed below are some traditional SEO tactics that still help improve AI visibility:

• Internal Linking
• Backlinking
• Keyword placement
• Indexability
• Technical SEO
• On-page SEO
• Mobile optimization

Internal Linking

Internal linking helps organize your site’s content so that AI systems can crawl it more efficiently. The bots and LLMs do not view each webpage in isolation but rather as part of a comprehensive whole, and a well-organized website should have major landing pages linked to supporting cluster pages.

Internal links help the AI systems behind modern search engines contextualize how different topics and subtopics are related to one another. AI search engines aim to provide users with the most comprehensive answers to their queries, so a deep, contextual understanding of your site increases the likelihood that it will be mentioned or cited.

Backlinking

Getting other sites to link back to your site’s webpages used to help traditional search algorithms decide how high a piece of content might rank in SERPs, but the indirect value of backlinking is now to increase domain authority.

Websites linking to your webpages signal to AI search engines that your brand is authoritative and trustworthy, and these backlinks are even more valuable if they come from larger, more reputable websites relevant to your industry. Backlinks tend to result from comprehensive,  accurate content; they help drive referral traffic and can help form relationships with other brands.

Keyword Placement

Before they give the user’s query and relevant indexed sources to the large language model, search engines first have to go through the basic process of identifying the most relevant keywords in the user query and finding content that utilizes those keywords. It is also important to ensure that keywords are naturally incorporated into the content (rather than keyword stuffing).

Any business that wants its content to appear in AI answers should focus first on the most important keywords in its industry. Long-tail keywords are a helpful focus here because users often type longer, more complex phrases into search engines, and those need to be included as well. Businesses can even hire SEO agencies to identify long-tail keywords and other factors to refine their current content strategy.

Indexability

Your site’s indexability remains paramount to AI visibility because LLMs draw from and cite indexed sources in their synthesized answers. AI search engines use bots to crawl the internet for the sources they use to generate answers, so you need content that can be reached, rendered, and stored.

Brands that want to ensure their site is indexable need to ensure that major AI systems (e.g., Google, ChatGPT, Yandex AI) are not blocked in their robots.txt files. This can happen accidentally, so double-check that your site’s content can be reached. Businesses also need to fix technical issues such as broken internal links, redirect loops, or duplicate content.

Technical SEO

Improving your site’s technical SEO helps create the conditions for AI systems to retrieve information and interpret it accurately. The bots that AI-powered search engines use must quickly crawl your webpages to gather the information they need for AI-generated summaries.

Technical SEO starts with fixing any loading issues or errors and removing content clutter or messy coding to maintain high crawlability and speed. Every website should also have a clean infrastructure with machine-readable data formats, AI bot permissions, entity disambiguation, etc.

On-Page SEO

On-page SEO is about optimizing individual webpages so that they are easily read and understood by both humans and machines. The objective here is to have content with clear meaning, simple, clean formatting, and consistent context, rather than endless paragraphs stuffed with target keywords.

To improve each webpage’s on-page SEO, ensure all content is well-structured with descriptive headings. Use title tags, headers, subheaders, meta descriptions, and other logical hierarchies to help a page both rank in indexed search and be cited by popular AI systems.

Mobile Optimization

Major AI search engines, especially Google, tend to use mobile-first indexing when they are crawling the web. This means that the mobile version of your site is the primary version that is both crawled and indexed.

The basics of mobile optimization start with avoiding images that affect loading times, using large fonts, and avoiding buttons that are hard to click. Having webpages fully optimized for mobile devices also makes your content more legible to AI systems and serves as an indirect signal of authority.

New GEO Concepts to Utilize

Once you’ve gotten all of the SEO basics down, it is time to incorporate some new concepts based on generative engine optimization (GEO) so that you can make sure your site is completely AI-friendly.

Listed below are new GEO concepts that can majorly help improve your site’s AI visibility:

• Intent
• Citation
• Structure
• Schema markup
• Authority and trustworthiness
• Content freshness

Intent

One of the most unique things about AI-powered search engines is that they look for the intent behind a user’s query rather than just focusing on keywords. These LLMs are trained to focus on meaning, context, and how different topics connect so that a user’s question can be fully understood and then answered.

For example, Google’s AI Mode uses a query fan-out method, breaking the user’s query into several subtopics and running multiple queries at once to achieve a deeper understanding than a traditional search engine would. As a result, these new AI systems are looking for content that comprehensively covers and understands a range of topics and subtopics.

Citation

AI search engines also tend to include content that can expertly cite the sources behind its information. They especially prefer specific and verifiable data over more vague statements, meaning. For example, a webpage dedicated to the rising literacy rates among young adults should include exact percentages over periods of time, using reputable sources.

Using citations naturally makes AI systems consider your content more authoritative and thus more citation-worthy. Try to add sources whenever mentioning specific data or facts, add statistics wherever applicable, and include expert quotations. These new models want content that is dense with specific information in addition to having the right keywords and quality backlinks.

Structure

How content is structured helps AI search engines decide whether or not to include it in their summarizing answers. The visual organization of each webpage must be clean and consistent, with direct questions paired with clear answers, so that AI systems can use them directly in answers to similar user queries.

AI systems use your on-page HTML formatting to understand your content’s structure, so you can help guide them by focusing on headings, bulleted lists, and other essential structural elements. Include relevant FAQs at the bottom of webpages, especially landing pages, and break content into smaller, focused sections rather than cramming it into a single long paragraph.

Semantic Chunking

Semantic chunking is the GEO-focused process of turning content into information that has standalone clarity. Every definition, statistic, or concept needs to be presented in a form that AI systems can extract without much surrounding context. To put it another way, make it easy for these models to lift facts and figures from your webpage without having to read the rest of it.

Definition-First Content

Part of your site’s organizational structure should emphasize definition-first content. Webpages that open with a clear, direct definition of the topic currently being discussed are much more likely to be cited by AI-powered search engines. Focus less on using traditional narrative-style formatting with keyword placement and instead get straight to the most relevant answer to a user’s related queries before expanding further.

Schema Markup

Schema markup is an incredibly technical GEO concept that refers to how data is structured on your site. A schema is a type of code that helps AI-powered search engines understand your content by providing unique labels that identify plain text as reviews, products, FAQs, etc.

FAQPage, HowTo, and QAPage are the most popular examples of GEO-focused schema markup because they structure your content as direct answers to unique questions. If these AI systems can easily contextualize the information on each of your webpages, they easily convert said information into quick answers to user queries.

Authority and Trustworthiness

AI search engines also tend to only include content from authoritative and trustworthy sources. For example, Google has explicitly mentioned that its AI systems use a framework called E-E-A-T, which stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Sites that want to end up in a Google AI Overview need high-quality content that signals these specific characteristics.

To improve your site’s brand authority, prioritize accuracy by using facts and citing high-quality sources whenever you provide specific data and statistics. Quality backlinking also signals your authority, as does forming strategic partnerships with more established names in your specific industries.

Content Freshness

Content that has been recently published or updated is also more likely to be cited by AI search engines. The bots and LLMs behind these new systems tend to index and include content published or updated within 3 months of the user’s query submission date.

To maintain content freshness, keep a regular publishing schedule and post unique, relevant content. Keep tabs on emerging trends within your industry and update your content frequently. To help AI search engines determine that your content is fresh, display “last updated” dates at the top of each webpage.

AI Visibility Success Metrics

Since the implementation of AI has changed how content appears in search engine results, sites need to adopt new success metrics. Some standard SEO-related metrics like clicks, impressions, and search volume are still important to track, but they don’t give the entire picture of how your site’s content is being included in AI search.

Mentions refer to how often your specific brand is mentioned in AI-generated answers, and citations refer to how often your specific brand is authoritatively cited in those same answers. To deepen the context, brand sentiment helps explain how those brand mentions were perceived, and competitive share of voice reflects your site’s percentage of mentions and citations relative to competitors.

Share of Model

Share of model is a new AI visibility metric that measures how often your brand is mentioned or cited across AI platforms like ChatGPT, Gemini, or Claude. To properly track the share of the model, you have to determine how often your brand appears and is cited in AI-generated answers while also tracking citation sentiment, share of voice across different AI platforms, and AI-referred traffic (through GA4 attribution).

Key Takeaways

Modern search engines function very differently from how they did before the implementation of AI. If your site wants its content to be selected as answers by AI search engines like Google or Yandex, your content strategy needs to be updated accordingly. Certain traditional SEO tactics, such as quality backlinking and mobile optimization, remain useful for getting webpages indexed by AI systems.

Businesses also need to incorporate new GEO-focused concepts, including query intent, schema markup, brand authority, and content freshness. Sites that achieve both SEO and GEO success are more likely to have their content included in AI-generated answers, and these instances can be measured using new metrics such as brand sentiment and competitive share of voice.

The post How Do AI-Powered Search Engines Choose What Content Appears in Answers? appeared first on SiteProNews.

In my experience working on many acquisitions, currently in EdTech at Banyan Software, I’ve seen deals that worked out well for founders and some that didn’t. The difference usually comes down to how prepared the founder was before the process began.

Founders who succeed in a sale process share a common trait: they have done their homework in a few key areas of their business. I have outlined my top five below.

1. Set clear goals before you start

Know what you want to accomplish by selling your company. Define a clear, prioritized set of objectives for the sale process. These goals might include maximizing purchase price, de-risking your personal balance sheet, finding a buyer that can accelerate growth, or preserving the culture you’ve built with your team and customers. These goals aren’t always compatible, and in my experience, founders who enter a process with clear priorities tend to find the right buyer rather than defaulting to the highest bid.

2. Deliver a compelling elevator pitch and growth story

Confidently articulate an elevator pitch that explains why your company is a valuable, defensible business. Following that, be prepared to detail your company’s value propositions and key differentiators, the segments of the market you serve, and your ideal customer profiles. Put simply: why do customers choose you, why do they stay, and where do the most compelling growth opportunities lie? The founders I’ve seen succeed in a sale process can tell that story with conviction and specificity, generating genuine excitement among would-be buyers.

3. Understand the risks and opportunities of AI

AI would not have made my list six months ago. Today, it presents perhaps the most important threat and set of opportunities a vertical SaaS business faces. In every conversation you have with a buyer, they will want to understand how you’re using AI to improve operations, accelerate product development, and deliver more value to customers, all in measurable terms. They will also want to know you’ve thought seriously about the risks: competitive disruption, the cost of execution, and how AI may shift what your customers need from you. Founders who can speak to both fluently stand out. Founders who can’t raise questions about how the business will compete going forward.

4. Know your numbers, your P&L, and your sales pipeline

Be prepared to speak to the details of how your company makes money and how it spends, because buyers will dig into every key metric and underlying detail. Understand KPIs such as EBITDA, net revenue, GAAP vs. cash accruals, new logo pipeline, and net revenue retention, as you will be expected to speak to each with authority, backing your company’s financial projections with data. We, buyers, will also closely monitor your execution against projections during the sale process itself. Knowing your numbers and hitting targets in the lead-up to close will put you in a great position to secure a fair, firm valuation.

5. Understand deal structure and buyer type, not just headline price

The terms of a deal and the operating model of the buyer will shape what your life looks like after the transaction closes, sometimes more than the price itself. I’ve seen founders focus entirely on valuation and end up in a structure that didn’t serve them or their team well. Understand how a buyer approaches company leadership post-acquisition, where they typically invest, and where they cut costs. On the financial side, examine whether earnout targets are realistic or structured in a way that’s unlikely to pay out. Consider how their strategic vision aligns with yours. There are different buyer types: permanent capital, growth-focused PE, and strategic acquirers. Each has fundamentally different answers to these questions. Banyan Software, for example, acquires businesses with the intention of holding them permanently, which shapes everything from how we approach leadership transitions to where we invest post-close. Understanding which model fits your goals is as important as understanding valuation.

The founders I’ve seen complete a sale process successfully are well prepared from the outset. They are clear on their goals, have a compelling growth story, and are fluent in their numbers. That preparation allows them to find the right buyer and get a deal done faster, with less stress, and with the legacy of their business intact.

The post Five Keys to Successfully Selling a Founder-Led SaaS Business appeared first on SiteProNews.

For Constant Contact’s latest Small Business Now report, we surveyed more than 1,500 small business owners to understand their concerns and strategies around marketing for 2026. While they see the current economic hurdles loud and clear, the vast majority are refusing to hit the brakes. Instead of cutting back, they’re doubling down.

Instead of shrinking their marketing budgets, small businesses are hitting the accelerator: 68% of small business owners expect their marketing budgets to increase in 2026, while 74% expect the time they spend on marketing to increase this year.

The message is clear: the winning strategy isn’t to hide out until the storm passes. It’s to invest your time and money into the growth driver of your business — your marketing — to come out stronger on the other side.

Investing in What Already Works

So where is all that investment going? It’s flowing directly into the proven, high-impact digital channels that small businesses believe in most.

When we asked which channels they expect to provide the most value this year, the answer was decisive: 68% expect social media (both organic posting and paid ads) to be their most valuable channel, with email marketing following at 41%.

The takeaway is simple. The smartest businesses are concentrating their efforts on a powerhouse duo of social media and email — channels they trust to deliver measurable results.

AI Becomes a Practical Growth Tool

And there’s a new tool in the toolbox helping them do more with less. Fifty-four percent of small businesses are already using AI and another 27% plan to start this year, relying on it for tasks like analyzing trend data (45%), writing emails or other content (44%), and creating images (40%). Businesses aren’t replacing their strategy — they’re enhancing it.

Your 2026 Playbook: How to Double Down the Right Way

You’ve seen what other small businesses are doing. Here’s how to turn those insights into your own action plan.

Tip #1: Master Your High-Value Channels to Be Seen

Small businesses are putting their faith in social media and email marketing because they believe these channels will deliver the most value. The move isn’t just to use them — it’s to master them.

Don’t just post — connect. Don’t just send emails — build relationships. This is where your marketing investment will work the hardest, so make every dollar (and every minute) count by focusing your energy on what works and get your business seen.

Tip #2: Make AI Your New Assistant

One of the biggest hurdles for any small business owner is the never-ending need to create fresh content. We know the pain of staring at a blank page when you have a million other things to do.

Consider joining the 81% of small businesses that are already embracing or planning to use AI this year, and use it to tackle the “blank page” problem for good.

Ask it to analyze trends to find out what your audience wants to hear about. Or let AI compose a first draft of your next email newsletter, turning an hour of work into 10 minutes of editing.

Think of AI as your assistant freeing you from time-consuming manual tasks so you can focus on big-picture strategy.

Tip #3: Put Your Marketing on Autopilot

Working harder isn’t the answer; working smarter is. With 50% of small businesses prioritizing efficiency, the goal is to get more done with less manual effort.

That means having a system that works for you even when you’re not working. Use a single platform that can streamline and automate your high-value channels. Instead of jumping between tools, manage your social media and email marketing in one place.

Then use automation to handle repetitive tasks. Set up a welcome series for new subscribers, automatically send abandoned cart reminders, or schedule a month’s worth of social posts in one sitting.

Realism Meets Strategic Resolve

While small businesses are feeling economic pressure, they aren’t just hoping for the best; they’re actively planning for success. Fifty percent are prioritizing “improving efficiency,” and 36% are creating or refining their marketing strategy to ensure they succeed in the year ahead.

What does this tell us? Small business owners have a healthy dose of realism — but an even bigger dose of strategic resolve. They know the environment is tough, but they’re betting on their ability to work smarter in order to succeed.

2026 Is Not a Year to Sit on the Sidelines

The message from small businesses is loud and clear: 2026 is not a year for sitting on the sidelines. Despite economic challenges, the overwhelming strategy is investing strategically instead of pulling back.

If you’re feeling the pressure of rising costs, know you’re not alone. But more importantly, know that you’re in good company when you choose to face these challenges head on and invest in your business’s growth.

The post In the Current Economic Uncertainty, Small Businesses Are Investing in Marketing appeared first on SiteProNews.

New survey data from Tech.co has revealed that AI productivity is giving 1 in 4 business leaders a full workday back every week.

AI reclaims back a full workday for 1 in 4 business leaders

Over half (54%) of SMB leaders have seen a productivity boost since implementing AI. But according to Tech.co’s recent survey, nearly a quarter (22%) of SMB leaders report that AI saves them 6 to 10 hours of work in an average week. 

This highlights a clear productivity boost experienced by business leaders who leverage AI in their daily tasks, as these leaders are able to reclaim a full workday every single week thanks to artificial intelligence. 

Greater AI spend means more time saved

A correlation emerged between the amount of money spent on AI tools and the amount of time it can save. 

The majority of businesses spending $1,001–$2,500 save 6–10 hours, buying back a full day of productivity through this investment.

But those spending under $100 per month on AI typically save less than 2 hours of work weekly.

This suggests that the more money spent on AI tools, the greater the time it can save on daily tasks, as there is a limit to the level of productivity entry-level AI tools can achieve.

Top 7 tasks business leaders are automating:

(by most popular response)

1. Writing tasks: 29%
2. Research: 26%
3. Customer support: 19%
4. Taking meeting notes: 16%
5. Scheduling & calendar management: 16%
6. Money & bookkeeping: 15%
7. Staffing & team admin: 13%

Greater reliance on AI for time-consuming tasks

According to Tech.co’s findings, more time-consuming tasks such as writing and research were found to be the most popular use of AI among business leaders, whereas typically quicker admin tasks such as team admin and calendar management were at the lower end of the AI-use scale.

This data signals business leaders are beginning to rely more heavily on AI for longer time-consuming tasks, not just quicker admin work.

Customer support sees the greatest AI productivity boost 

80% of business leaders who replaced customer support with AI saw improvements in productivity. 

This could mean more businesses may be at risk of losing human-first communication when dealing with customer support issues.

Businesses appear to be prioritizing the speed and efficiency that AI-enhanced customer support can offer.

Tech.co’s Editor, Jack Turner, comments:

“Our latest research at Tech.co has cut through a lot of the noise around AI and shown that there are real, tangible benefits, which could make huge differences to companies that adopt the tech.

With 22% of SMB leaders saying AI saves on average 6 – 10 hours a week, it makes the promise of a four-day week ever closer.

In addition, the value of this time at between $1,001–$2,500 is likely to make AI-sceptics sit up and take notice.“

The post AI Productivity: AI Gives 1 in 4 Business Leaders a Full Workday Back Every Week appeared first on SiteProNews.

Last week’s Canvas cyberattack led to a finals-week nightmare for thousands of students across North America, locking them out of exams, assignments, and coursework – all while putting them face-to-face with the notorious ShinyHunters ransomware gang – something most students would never have expected. 

With threats to release stolen data belonging to 275 million students and teachers tied to the e-learning platform, Canvas by Instructure announced over the weekend it paid off the seasoned hackers, alongside a “digital confirmation of data destruction” from ShinyHunters themselves. 

The undisclosed ransom demand was reportedly paid to ShinyHunters as part of an agreement intended to prevent an imminent leak affecting schools, from kindergarten classrooms to universities worldwide. 

But now the breach is becoming something much bigger: a test of whether the more than 8,000 schools caught up in the hack can trust a hacker group’s word that stolen student data was actually destroyed.

Paying hackers does not erase the risk 

While it may have been enough to stop an immediate leak, it does not erase the larger problem – once student data is stolen, control is gone.

If we look back to the December 2024 breach of edtech software provider PowerSchool, the lesson apparently has not been learned.

After PowerSchool allegedly forked over a $60 million ransom demand, the 19-year-old attacker later turned to extorting the 15,000 North American school districts using the platform – despite earlier promises to delete the stolen data. 

Fast forward to the Canvas breach. The company says there is no evidence the stolen information was publicly leaked or retained after the payment agreement. 

Canvas revealed compromised data included full names, email addresses, student IDs, course and enrollment data, plus “billions of private messages” exchanged on the platform. 

And while passwords, Social Security numbers, financial information, grades, coursework submissions, and student files were not exposed, cyber experts say once student data falls into the hands of criminal actors, “the implications for identity theft, targeted social engineering, and even safeguarding are serious and long-lasting.”

Despite historical evidence that ransomware groups lie, students, parents, and schools are still being asked to accept that these cybercriminals will honor their end of the deal.

Criminal promises are still promises from criminals 

To be fair, there is a reason extortion groups sometimes do. ShinyHunters and groups like it operate for profit. Their entire business model depends on victims believing that payment can reduce damage, prevent leaks, or stop further extortion. 

If hackers routinely take the money and leak the data anyway, future victims have less incentive to pay.

In that sense, even criminal groups have a reputation to protect.

But that does not make their promises trustworthy. Data can be copied. Affiliates can retain files. Archives can resurface months later.

The PowerSchool breach already showed how difficult it is for schools and families to know whether stolen student information has truly disappeared after a cyber extortion incident.

That is why the Canvas case matters beyond a company apology and a single ransom agreement.

One platform, millions of students 

The attack also exposed how dependent modern schools have become on centralized cloud platforms to function at all. 

Canvas is no longer just a homework portal. For many schools, it is the classroom, gradebook, assignment tracker, messaging hub, exam platform, and student records pipeline all rolled into one.

When initial negotiations failed, ShinyHunters upped the ante, defacing Canvas login pages with threats and turned to targeting individual schools for extortion. 

With the system down, frustrated students and teachers lost access to key classroom tools, while school officials scrambled to contain the damage, with some schools forced to cancel final exams altogether.

It is the same uncomfortable lesson seen in the infamous AWS and CrowdStrike disruptions from years past: when one widely used platform fails, entire industries can grind to a halt all at once.

The answer is not for schools to abandon cloud platforms altogether. That’s unrealistic. But cyber insiders have long warned that institutions need real backup plans before outages happen – not improvised workarounds after the systems have already been disabled.

Because when the world’s classrooms run on a single platform, a cyberattack is no longer just an IT problem – it becomes an education crisis.

The post Canvas paid hackers – but the student data questions are just beginning appeared first on SiteProNews.

When an organization grows beyond either 80 or 100 employees, we begin to see a correlation between revenue and headcount, but once we reach that threshold, profit margins begin to deteriorate and do so in a manner that is not easily attributable to any one factor. 

The CFO is tasked with analyzing and reporting as to why personnel expense is proportionally large. We typically end up discussing the org-chart in that meeting. What is seldom considered in that meeting is whether or not the company has visibility into what they are actually spending their money on.

The company has visibility to its accounting through the invoices and payroll, but the operational layers that are below the surface do not have visibility. When you have work that is redundantly performed, decisions are pending on someone’s desk for a week, onboarding is taking three weeks because no one has documented the process, and meetings are forming to discuss questions that should have been addressed in writing at least six months ago. While there is no budget line for that layer of cost, it exists, and as the organization continues to grow, that cost increases along with the company.

If you spend time with organizations that continue to hold margins during growth cycles, you will see that the majority of dollars are leaking out of the organization through gaps in processes, long before they make it to headcount.

The “Re” Problem: Where Margin Actually Goes  

Repetition leads to margins being eliminated. Multiple instances of “re” indicate broken processes upstream, whether that is at a bottleneck or lack of closure on ownership or from a lack of communication that became normalized to where it’s now completely lost from view – one in every “re” relates to means of losing visibility due to broken upstream processes.

Rework. Re-approval. Re-explaining. Re-onboarding. All the above utilizes resources/money without the creation of anything new. For example; something was done incorrectly, resulting in rework; that type of activity will then result in further escalation due to lack of documented first answer; recruiting did not spend enough time building up existing knowledge of the company to provide it while the new employee was there re-building that information from ground zero; the project restarted due to scope changes made after the start of execution were not resolved until it was too late…and so on

For example, a logistics company with a somewhat large presence within their industry traced their very large spike of shipping error incidents back through the process of shipping goods through their entire workflow and discovered there were three teams working off of three copies of essentially the same product database. No one had synchronized them for approximately eight months. Once they synchronized and resolved the issue, their costs to resolve all of the operations that resulted from those shipping errors (calls to customers for the mistakes, returning product, rush shipping products, etc.) was over $40,000 per quarter. All of the shipping error-related issues were resolved within 45 days of synch all three product databases.

More often, rework stays invisible because no one goes looking for it with any seriousness. It surfaces as overtime, as slipped deadlines, as a persistent sense that the team is always at capacity but the output doesn’t match the effort. People are working. Work is just happening more than once.

That’s the cost conversation most companies never have. Spending gets scrutinized in budget reviews. Repetition doesn’t. It hides in execution, tolerated as a cost of doing business rather than recognized as a failure of process design.

The Math on Layoffs Rarely Gets Run All the Way Through  

Eliminating positions reduces payroll costs, positively impacts the upcoming quarterly review, and gives a good presentation to the board. The downstream costs of this decision, however, are harder to attribute to the original business case.

The cost associated with losing an employee is about $6,000 in lost productivity while that employee leaves and a new employee is onboarded; in addition, there will be approximately $3,000 associated with the onboarding of the new employee. If there are multiple roles where this situation occurs, it compounds quickly. The 2025 HR.com report on retention shows that organisations recover approximately $3 in lost recruiting and retraining costs for every dollar spent on retention. In addition, around 70% of organisations report an increase in remaining staff’s workload following significant layoff decisions, without any increase in capacity.

Quality will suffer. Employees with other opportunities will look for other jobs. Each time there is an exit, the organisation will experience additional transition costs. The cycle will repeat itself throughout the next 6 to 18 months. By the time measurable data illustrates this behaviour, the original decision will be long past being questioned.

Additionally, the approved process for transitioning employees, the approved bottleneck for the approval of an employee’s departure, and the undocumented process for transitioning an employee will still exist. There will be fewer people moving through these broken processes under more pressure, with little to no margin for error

Automation Works Best After the Process Underneath Is Clean  

According to a report from, Companies that implement structured business process automation report average return rates of roughly 240% within the first 6-9 months after implementation. Companies that implemented BPA have increase increases in adoption rates from ~20% in 2021 to ~70% by 2025. The companies that report consistent return rates do one thing — they first fix the core underlying process and then build automation on top of that.

Automating a broken approval workflow does not enhance decision-making. Rather, automating a broken workflow results in faster throughput of making the wrong decision.

One case study is a large manufacturing company’s procurement team that spent four months developing an automated Purchase Order routing system before ultimately realizing that there were four (4) redundant approval stages in the underlying logic of their approval process that existed long before their current finance organization was established. The automated system functioned as designed and upheld a long-standing approval process that had never been called into question since the company was much smaller. After removing redundant approval processes and re-building the processes, the time to approve a Purchase Order became approximately 11 days less than prior, and thereby resulted in increased financial benefits from two additional months of unblocked/authorized procurement activity. The software to automate the system was a secondary driver of benefits received.

Structured automation also absorbs workload growth in ways that headcount additions can’t easily match once margins tighten. Gartner projects around 69% of routine managerial tasks could be substantially automated by end of 2025 — invoice processing, status reporting, approval routing, compliance checks. Hours recovered shift toward work that actually requires judgment. Global IT spending is projected to reach $6.15 trillion in 2026, with generative AI spend expected to grow 80.8% that year, most of it directed at this category of routine decision-making. Companies getting that infrastructure in place now are solving a cost problem that will otherwise arrive later, with less time and fewer options.

What Operationally Tight Companies Actually Do  

Process debt behaves like technical debt — it accrues interest quietly and compounds until someone is forced to deal with it at the worst possible time. A workflow built for 40 people that nobody reviewed at 200 is costing time and clarity every week it goes untouched. Operationally tight companies audit processes on a schedule rather than waiting for a crisis to create urgency. Less dramatic. Considerably cheaper.

Escalation patterns are another place where costs accumulate without appearing in any budget line. When the same questions keep climbing to senior leadership, the reflex is to question capability in the junior ranks. Far more often, it’s a policy gap that was never properly documented. Senior time is expensive. Slow decisions carry their own cost. And over months, a culture of constant escalation quietly pushes out capable people who eventually stop asking and start leaving.

Onboarding time is probably the least discussed indicator of operational health, which is a mistake. Short onboarding reflects documentation quality, process clarity, and institutional knowledge that lives in systems rather than in specific individuals. When a key person leaves and the organization absorbs it without visible disruption, that’s years of deliberate infrastructure doing its job — the same infrastructure that quietly prevents day-to-day costs from drifting upward.

Tool sprawl compounds this in ways most companies underestimate. The average mid-size business is paying for somewhere between 20 and 40% more SaaS seats than it actively uses. When growth was fast and cash was available, nobody audited subscriptions closely. Now the budget quietly funds seven overlapping tools doing versions of the same job, half of which the team has found workarounds for. The cost sits there, diffuse enough that no single line item creates urgency, large enough that it adds up across a year.

None of these fixes require a transformation program or an outside consultant. They require someone with enough authority to treat operational health as a serious ongoing discipline rather than a cleanup project that happens when something breaks badly enough to demand attention.

Layoffs Are a Diagnosis, Not a Treatment  

When a company turns to headcount reductions to fix a margin problem, it’s typically addressing the symptom with the cleanest line item. Payroll is visible. The action produces measurable short-term results. It communicates decisiveness. What it doesn’t do is touch the underlying condition — the processes that haven’t scaled, the decisions moving too slowly, the work being repeated across teams that have quietly lost visibility into what each other is doing.

Some companies learn this after a cycle of cuts, rehiring, and declining morale that takes longer to recover from than the original margin problem. Building visibility first, fixing what it surfaces, and arriving at headcount decisions from an informed position is harder to present in a board meeting. Results tend to hold longer.

Layoffs reduce cost today. Systems determine whether it comes back tomorrow.

The post How Growing Companies Reduce Costs Without Cutting Teams appeared first on SiteProNews.

Research by Capital One Shopping discovered that nearly 60% of today’s consumers use AI to shop. Nearly the same percentage reports opting for ChatGPT or another generative AI platform over traditional search engines to help them find recommendations.

These statistics reveal a new reality that marketers can’t ignore: influence has shifted. The days of looking to top-tier publications for purchasing insights are gone. Those resources have been replaced by AI.

To stay relevant in the new reality, brands need to refocus. Shaping consumer trust and influencing purchasing decisions requires developing a strong presence in the places where consumers look for information. And in today’s marketing landscape, social media platforms are a key place for influential consumer research and conversations, due in large part to how AI is reshaping them. 

Social media’s AI-powered search capabilities make it a powerful tool for consumers looking for recommendations. Today’s social media users aren’t just scrolling for inspiration. Whether they’re looking for a great date night restaurant, building an itinerary for a kid-friendly vacation, or seeking size recommendations for hiking boots, they’re looking for one thing: truth.

Building a social media strategy that builds trust

Building a marketing strategy that maximizes the impact of social media requires developing a deep understanding of how today’s users engage with these platforms. Modern users do much more than share updates about their day. Social media platforms have become the go-to for news, brand information, and insights into what people really think.

From Facebook to TikTok to X, social media has become so deeply embedded in our culture that we consult it reflexively. And the AI-asset function has proven to be a complete game-changer.

If AI is the new-age encyclopedia-almanac mix, then social media is the new-age gut feeling. We absorb the feelings associated with posts as we scroll, creating opportunities to almost instinctively build consumer trust.

Yet the fact that it has become easier to reach people doesn’t mean it has become easier to influence them. Trust doesn’t come strictly through presence. The strategy only succeeds if it achieves agreement, not just awareness.

The best social media strategies will build trust through consistency. The brand won’t be the only voice on social media. It might not even be the loudest voice. What matters is that it aligns with what customers are saying about the brand. To accomplish that, brands need to show up for their market and deliver the value they promise, even before customers make a purchase.

A wellness brand, for example, makes an impact by showcasing on social media the kind of life its customers can unlock with its product. That means giving tips on how to live a healthier life for free, not just with the help of the brand’s products. It also means engaging with people who want to better understand the brand, responding to inquiries, and being adaptive and flexible in ways that add value to consumers.

Staying focused on the factors that matter

There have been marketing experts who’ve argued in recent years that social media is dead, but this is far from true. Social media isn’t going anywhere (not anytime soon, at least).

If you are seeing less of a return than you once did, it’s not because social media can no longer deliver. It’s about your strategy. Social media platforms are the same ones they were years ago, but using them effectively requires a complete change in perspective.

The path to influence has shifted, and your strategy needs to as well. Welcome to the content and interest marketing era.

Aligning with the new perspective requires accepting that more followers don’t automatically mean more revenue. Sales will happen, but they won’t happen immediately or automatically. Brands need to take social media users on a journey. Convince them you’re worth their time, and they’ll become followers. Build trust and foster loyalty through valuable content, and they’ll become customers.

The key to gaining trust and influencing consumer decision-making is building a solid relationship with the audience. Social media is a great platform for sales, but brands can’t fixate on making the same. If you’re using your digital real estate to try to sell every five seconds, you’re using it wrong. The right approach is to use the space to tell stories that consumers can relate to.

In order to get courtside seats in their target market’s algorithm, which should be your goal, brands need to clearly determine who they’re trying to convert in the first place. When you know that, you’ll have a better picture of the everyday human experiences you can share with them. Figure that out, and you’ll know what story to tell.

To thrive in the age of AI, marketers need to adopt new perspectives that focus on establishing authentic connections and adding value to the consumer experience. The content and interest marketing era pushes brands to dig deeper, hold on to our humanity, and foster relationships with our customers. Social media has the potential to accomplish that, provided we use it strategically.

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Website Builder Expert latest survey reveals that US small and medium-sized businesses are actively using AI and automation tools to replace routine manual workplace tasks, as a way to offset operational costs.

Results showed that of the 55% of US SMBs who are using automation to offset operating expenses, the most popular uses include market research (55% of SMBs), as well as scheduling and calendar management (55% of SMBs).

AI investment favored over cutting staff

10% of SMBs say they are investing in efficiency and automation tools, while just 3% are reducing headcount or freezing hiring. This suggests that businesses are turning to technology rather than layoffs to help manage costs.

According to the data, US SMBs are prioritising automation technology. The six most common manual tasks being automated with an all in one AI platform include:

1. Market Research 

Over half (55%) of SMBs say they use automation tools to gather and analyse market insights, reducing the need for manual research and reporting.

2. Scheduling and Calendar Management 

55% of businesses are using automation to manage scheduling and calendars, helping to organise appointments, coordinate meetings and reduce day to day admin.

3. Data Analysis

More than half (52%) of businesses use AI to process and interpret business data, allowing them to generate reports faster and make decisions with greater accuracy.

4. Inventory Management 

Automation technology is being used by 52% of US SMBs to track inventory and manage supply chains, helping them anticipate demand, avoid shortages and adjust stock in real time.

5. Writing Tasks 

Nearly half (48%) of businesses use AI to create content like emails and marketing copy, making campaigns faster to produce, more consistent in tone, and easier to scale across channels.

6. Personalised Marketing

42% of SMBs are using automation to tailor marketing in real time, helping them run more targeted campaigns, increase conversion rates, and build longer‑term customer loyalty.

• Top tasks businesses shouldn’t delegate to AI:

Of the 55% of US SMBs who are using automation to offset operating expenses, there are some particular tasks that SMBs aren’t automating as much:

1. Cyber security measures (0% of SMBs)
2. Legal research (27% of SMBs)
3. Design tasks (30% of SMBs)
4. Document classification (30% of SMBs)

The tasks listed above are considered to be more high-risk, and can involve sensitive customer information, or require human oversight.

While an AI-generated typo can be edited in just a few seconds, a security breach or legal issue could take your business months to resolve. It could even inflict damage you can’t recover from. In these instances, it is best to rely more on human expertise for critical tasks.

• 4 tips for efficient workplace automations:

Before business leaders begin automating key tasks in 2026, remember to:

• Assess your requirements (Ask yourself, “what tasks do I need streamlined?”)
• Check your budget
• Compare tools on the market, looking at scope, pricing, and ease-of-use
• Consider your team’s needs and if they’ll require onboarding and training

Editor of Website Builder Expert, Lucy Carney, comments: “In light of steeper operational costs, it’s interesting to see that 10% of SMBs are using automation as their main strategy to offset this financial pressure. What I found fascinating when digging deeper here, is the types of tasks being automated – heavy manual jobs like market research and scheduling are most commonly replaced. This shows the shift away from cutting staff towards getting more value from staff time by freeing them up to work on less repetitive tasks.”

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Let’s say you’ve decided your business needs a CRM (or your existing CRM needs an upgrade). How do you set it up correctly?

You’ll also want to consider how you’ll use your CRM on a daily basis. The bells and whistles are great, but if you’re not using all the features in your CRM, what are you really paying for?

If you’re wondering how to best implement and use your CRM, we’ve got 5 common CRM mistakes to avoid and what you should do instead.

Mistake 1: Not Identifying Your Goals before Using Your CRM

The most important thing you need to know to successfully set up your CRM is what business needs it should fulfill. The way you implement your CRM should depend on your goals, not the other way around.

Identify what short- and long-term goals you want to achieve. Keep them in mind as you set up your CRM. Maybe you want to tackle organizing your contact list first. Then you can start working on sending marketing campaigns from your CRM.

In order to successfully use a CRM for your small business, you’ve got to implement it smartly. And that means making sure your CRM rollout aligns with your business goals. Failing to do this is the top dog of common CRM mistakes. Why? Because a bad implementation can lead to poor user experience for your entire team down the road.

Mistake 2: Not Involving Your Staff

If you alone are using your CRM, you’re free to set it up and use it as you see fit. But if you employ staff, it’s a good idea to make them part of the implementation process.

Ask yourself these questions:
– Will your staff use the CRM in any way?
– How many staff members will need access to it?
– How much freedom will they have to access its features?

Answering these questions gives you a better idea of how to best use your CRM. It should support as many users as you want to have access to it, while also limiting access where needed.

Another thing to consider is how to get your staff up to speed on your CRM. Make sure you offer employees training before they start using it. If possible, obtain training materials directly from the CRM software company.

Once you’ve implemented your CRM and trained your team, establish best practices so they use it effectively and avoid unnecessary errors.

Ever had to clean up your contact list? Maybe you found duplicate or incomplete client records. These create clutter in your CRM. When your staff knows how to properly enter client information, it cuts down on clutter.

Maintain a good standard for staff to follow when using CRM software. Be available to answer questions as needed, and provide refresher trainings periodically—especially when new staff members join the team.

Mistake 3: Not Keeping Your CRM Free of Dirty Data

Part of the responsibility of having a CRM is keeping it clean. Remember, it’s only as good as the quality of the information in it. Your CRM should also help streamline the cleanup process.

Do these things to keep your CRM spotless:
– Can your CRM automatically remove or merge duplicate contacts? Use that feature.
– Can you edit fields in client intake forms? Remove unneeded fields to speed up data entry.
– Can you customize CRM reporting templates so you only see relevant data? Do it.

The more you customize and automate your CRM, the easier it is to avoid turning it into a ‘data dumpster.’

Pro Tip: You may not always prevent bad data from entering your CRM, so it’s wise to schedule regular cleanups—twice a year is a solid benchmark.

Mistake 4: Not Making the Most of Your CRM’s Reporting Features

Let’s take a moment to talk about CRM reports. They’re invaluable for any business owner who wants to understand how the business is performing.

Unfortunately, not all business owners leverage CRM reporting. In fact, only 20% of small business owners use analytics and reporting on a weekly basis—yikes!

If you’re using reporting features, give yourself a pat on the back! A good CRM is more than just a contact manager. Reporting is what makes it powerful, especially for small businesses. You need to make informed decisions as your business grows, and reporting helps immensely.

No matter your industry, there are three key reports your CRM should regularly provide:
1. Sales and revenue reports — To know how much money your business is making.
2. Customer reports — To manage your contacts and understand engagement.
3. Campaign analytics reports — To see how email, text, or social media campaigns are performing.

If you’re not sure what reporting your CRM offers, dig in. Reach out to your CRM vendor’s customer support for help with pulling reports and analyzing them.

Mistake 5: Not Thinking About the Future

Ask any small business owner—they’ll tell you they want more control over their business. A CRM helps by simplifying daily operations and saving time.

But how flexible is your CRM? Will it scale with your business or become a roadblock? Your CRM needs to grow alongside you.

Ask yourself:
– Do you plan on expanding to multiple locations?
– Will you increase staff?
– Will your client base grow?
– Does your current CRM have limitations that could hinder growth?

If your business is outgrowing your CRM, don’t fight to make it fit. A CRM should make running your business easier—not harder.

The post 5 Common CRM Mistakes to Avoid Making at All Costs appeared first on SiteProNews.

The newly redesign Fire TV Stick HD, is about 30% narrower than the previous versions, making it both easy to travel with and fit behind television sets. The new streaming player also no longer needs a wall adapter; it now pulls power directly from the TV’s USB port.

Alexa+, Amazon’s AI assistant, will also be included in the new Fire TV Stick for customers in the US, Canada and the UK. While in Japan, customers will receive an exclusive anime hub showing available anime movies and TV shows to them.

This new streaming player will also include Amazon’s in house OS, Vega. In fact Amazon has confirmed that all future Fire TV Sticks will use Vega OS, making a break from the Andriod operating system.

The Vega OS will block sideloading (a tech term for installing apps not from the app store). While many users use this function for legitimate purposes, preventing unauthorized apps should help improve the streaming player’s security and function.

Price for this is the new streaming player is very attractive at $34.99 USD. Amazon’s new Fire TV Stick HD is available for pre-order today.

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The company known for it’s smartphones with physical keyboards and secure email was once preferred by business and governments alike. At its peak, BlackBerry was a dominant player controlled a huge percentage of the world’s smartphone market.

The introduction of Apple’s iPhone in 2007 and rise of Android devices thereafter changed the smartphone industry. Blackberry loss market share and struggled to stay relevant with smartphone users.

These days, BlackBerry concentrates on building software for the automotive industry, cybersecurity and more. It’s QNX software platform has become a dominant player in the automotive industry and it’s cybersecurity division provides tools for the military, governments and businesses alike.

The company beat analyst revenue forecasts and issued upbeat guidance, well above estimates. Executives at BlackBerry point to grow in cybersecurity and embedded software as key drivers.

BlackBerry future look bright, as it’s move to growth areas of the software industry is now complete.

The post BlackBerry Surprising Turnaround appeared first on SiteProNews.

The last day for the app is May 25, 2026, as Microsoft focuses on it’s main email app Outlook Mobile. After May 25, users will no longer be able to access their mailboxes through Outlook Lite.

Microsoft has been blocking new downloads of Outlook Lite since October. Microsoft is now encouraging Outlook Lite users to switch over Outlook Mobile for more features and more secure experience.

Despite the shutdown Outlook Lite, user accounts will still remain. Emails and calendars will be available once users transfer to the standard Outlook Mobile app, which is offered on both Android and iOS.

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In modern theme parks, technology plays a central role in creating an atmosphere of amazement. It is used in various ways to enhance the viewer’s experience, adding one or more layers of enchantment to the physical venues visitors move through and the human performers who meet them there.

Yet the artists who design and develop theme park attractions know technology can’t stand alone, especially in a world where home theaters and robotic toys are a common component of everyday life. They have learned that technology works best when it supports a larger viewer experience, taking classic entertainment to new heights by integrating technology-driven enhancements.

Adding layers to animatronic characters  with projection technology

Projection technology has a long history of use in the entertainment space. Moving pictures have been drawing crowds to theaters for more than 100 years. In theme parks, the use of projection to enhance attractions dates back more than 50 years, with Disneyland’s Haunted Mansion emerging as one of the first to use the technology in 1969.

Today’s digital projectors allow theme park designers to work without a screen, projecting moving or still images onto virtually any surface. Through digital projection mapping, images can appear on irregular surfaces, including sculptures, buildings, and landscapes. The technology makes the projection appear to be a part of the object, such as an animated face appearing on a sculpted head.

In fact, Universal Studios was the first theme park company to utilize this projection technology on an animatronic/mechanical face. The technology was debuted at Universal Studios Orlando’s latest theme park, Epic Universe, in May 2025.

Projection can also be combined with movement and sound to provide an immersive experience. Rides in which projection comes together with carefully orchestrated movements and sounds to give visitors the feeling they are flying, falling, or in the grip of some outside force are common in today’s parks. Projection technology is critical to the experience those rides deliver.

While theme parks will probably never tire of developing new projection-based attractions, they are also learning that the technology and the attractions that utilize it can be overdone or relied upon too heavily. For example, one park that invested in using projections to put faces on characters is shifting to animatronics for that purpose, realizing that a faulty projector can suddenly make an attraction unattractive.

Designers have also learned that projection is best when it carries part (but not all) of the weight of the experience. The best attractions combine different technologies, techniques, and tricks to bring people in and out of the experience.

Adding variety with trackless technology

Every ride seeks to take riders on a journey. With conventional rides, that journey follows a predetermined course. Wherever the tracks direct, that is where the ride’s vehicles go every time.

With modern technology, however, designers can make rides trackless, enhancing the experience by introducing variety and flexibility. Trackless vehicles are programmed to move through an attraction rather than being propelled on a track, giving them the ability to reverse, spin, and cross paths they have already traveled. These rides contribute to the feeling of immersion, allow for physical sensations that are not possible with rides confined to tracks, and introduce the potential for movement to be customized to the needs of the particular riders.

Trackless technology is also popular with dark rides, which bring together a variety of technology tools to enhance the viewer’s experience. Dark rides draw upon special lighting, music, and other sounds, as well as animatronics, to create engaging scenes. Trackless technology introduces more capabilities to the dark ride design process, giving creators the potential to randomize movements as they carry riders through immersive environments.

Adding believability with animatronic technology

Engineering believability into technology-based entertainment is vital for theme parks to stay competitive in today’s market. The settings, situations, and characters driven by the technology are not always realistic — after all, many occur in a fantasy land or involve cartoon characters — but they must be believable. If the look and feel are off, the immersive nature of the experience can quickly be lost.

Today’s leading animatronics developers have made believability a core component of their design process. For example, their development pipeline carefully considers the character they are bringing to life, engineering the tech that supports their movements to mirror those crafted by their animators. Following the exact animation performance, the animatronic can provide a more fluid experience that empowers greater overall believability.

Next-level animatronics leverage modern robotics to create characters that are not tethered to a particular location, meaning they can move about freely, enhancing the experience by breaking down the barriers that have traditionally been in place between the performance and its viewers. For example, fan videos recently showed some of the free-roaming robotic baby dragons now being used at the “How to Train Your Dragon” experience at Epic Universe in Orlando, Florida.

For the artists crafting today’s entertainment experiences, modern technology opens up a world of possibilities. It provides the power to create immersive environments with greater variety and believability that enhance experiences and satisfy the viewer again and again.

The post Technology That Enhances a Viewer’s Experience appeared first on SiteProNews.

The calm appearance of automation technology in business operations shows that it creates fundamental alterations to how mid-sized companies maintain their competitive advantage and grow their business while ensuring their existence.

Automation technology once viewed as an exclusive advantage of large enterprises has become an operational necessity for organizations facing limited staffing, financial constraints, and growing complexity.

The transformation process exists outside the realm of abstract concepts. The process already exists as a financial instrument which is being implemented at this moment.

The Adoption Curve has Shifted

The pattern of automation adoption proceeded through three stages until it reached its current state.

• The initial adopters of automation technology were large enterprises.
• Small businesses followed the automation trend after they observed large enterprises.
• Mid-sized companies held back from adopting new technology because of high expenses and complicated processes and limited resources.

The original pattern reached its end point. Between 2023 and 2025, the use of artificial intelligence among companies with 50 to 250 employees surged from 20% to 45—representing the fastest adoption growth across all company sizes.

Mid-sized organizations have stopped testing new processes. They are making large-scale commitments. This acceleration reflects growing operational pressure.

This growing efficiency gap makes automation a required response rather than an optional investment.

The 2026 strategic priorities of 83% of companies include artificial intelligence and automation as their main strategic priorities which companies require for sustaining their competitive edge in the market.

Automation Is No Longer About Speed

For mid-sized businesses automation is not really about doing things faster. It is, about making sure the business makes money using peoples time in a way and keeping the business running smoothly.

Mid-sized businesses use automation to safeguard their margins optimize the effort that people put in and guarantee that their operations are resilient. Unlike large enterprises, mid-market organizations cannot absorb inefficiencies with sheer scale.

Every manual hand-off, every re-keyed data entry, and every delayed approval has a direct financial impact. Automation addresses these pressure points quietly but decisively.

Organizations piloting automation initiatives have reported average operational cost reductions of around 30%.

These savings do not come from layoffs or aggressive restructuring.

They come from:

• Eliminating redundant work.
• Reducing rework caused by errors.
• Accelerating cycle times across core functions.

One of the clearest examples appears in finance operations.

In mid-sized organizations, manually processing a single invoice costs an average of $10.18. Best-in-class automated organizations have reduced that cost to $3.12—nearly a 70% reduction—by automating data capture, validation, and approval workflows.

The financial impact compounds quickly.

Intelligent automation applied to accounts payable and receivable functions has delivered a median return on investment of 150% within the first year of deployment.

For companies operating with lean finance teams, this is not incremental improvement—it is a structural advantage.

Sales, Marketing, and Operations Are Being Reshaped

People tend to misunderstand automation because they think it only replaces specific tasks. Technology transforms departmental work processes because it establishes new methods for employees to produce valuable results.

Sales and marketing teams have become the most aggressive adopters of generative AI and automation. About 42 percent of companies currently implement generative AI technology for their sales and marketing operations which represents double the adoption rate observed in other business functions.

The reason is simple. The teams experience ongoing demands to achieve greater outcomes while utilizing fewer resources.

Automation now manages:

• The process of lead scoring
• The documentation of activities
• The creation of follow-up reminders
• The development of initial content drafts

Sales professionals now experience daily time savings of two hours and fifteen minutes.

The time that was saved does not return to administrative tasks at other locations. The time allocation now supports three activities that include:

• Building relationships
• Leading strategic discussions
• Advancing business deals

The operations and logistics field undergoes a silent transformation. Hyper-automation technology has achieved data entry error reductions of 99 percent in environments that require precise data accuracy.

The time needed for processing orders and reconciling shipments has decreased from 30 minutes to a minimum of two minutes.

The system provides two benefits: increased speed and improved dependability.

Automation Is Changing the Nature of Work

Public narratives about automation primarily concentrate on the problem of worker displacement.

The reality inside mid-sized organizations is far more nuanced. When automation handles repetitive tasks which have low value, employee satisfaction increases instead of decreasing.

Employees demonstrate higher job satisfaction because 88% of them believe that automation should take care of their basic work tasks according to survey results.

Workers now dedicate their time to:

• Data transfer between different systems.
• Resolving record inconsistencies.
• Pursuing necessary approvals.

Workers now dedicate their time to:

• Solving problems.
• Working together with others.
• Making important choices.

This shift toward automation systems shows macro-level effects through its impact on workforce prediction systems.

The implementation of automation systems will lead to 85 million job losses worldwide by 2025 while simultaneously creating 97 million new positions, resulting in 12 million additional employment opportunities.

The transition provides an opportunity for mid-sized businesses to succeed. Organizations that combine upskilling programs with their automation initiatives will create superior teams who remain dedicated to their work without needing to increase their staff size.

Why Automation Feels Quiet but Its Impact Is Structural

The system operates silently in its background functions because it lacks any public announcement about its operational status.

The system establishes itself as a permanent operational foundation after its initial execution.

The speed of invoice processing has improved. The organization maintains its schedule to contact potential customers. All mistakes have been eliminated. The system generates reports which deliver results to users without their required actions.

Teams shift their discussion from “process improvement” to their examination of results. Organizations evolve their internal processes when they remove organizational obstacles.

Automation creates a new system for decision-making processes. Real-time data which flows through different systems enables leaders to shift their approach from reactive decision-making towards predictive planning methods.

The Competitive Gap Is Widening

The first group of mid-sized companies that embrace automation will achieve operational advantages while the other group that chooses to remain unautomated will experience ongoing competitiveness issues.

Organizations achieve long-term structural advantages by implementing automation as a fundamental operational system which they use throughout their financial and sales and marketing and operating procedures.

The businesses that maintain their dependence on manual operations work in reverse because their present activities prevent them from making progress.

What comes Next for Mid Sized Companies

The next phase of automation will go beyond efficiency into orchestration. AI-powered agents will not just execute tasks but coordinate workflows across systems.

Predictive decision-making will replace reactive decision-making. Automation will move from individual processes to end-to-end business flows.

The current evolution offers mid-sized companies a unique chance to succeed. The companies possess sufficient size to gain from automation benefits while they maintain operational flexibility to implement changes as needed.

Conclusion

Automation is not making a lot of noise when it comes to changing sized companies. Automation is actually changing these companies in a quiet way.

Behind the scenes:

• Things are getting better and better.
• Computer processes are becoming faster, cheaper and more reliable.
• This means that computer processes are really speeding up they do not cost much as they used to and computer processes are also more reliable now.

The employees are spending time doing the same things over and over. They are spending time on things that really matter.

This means the employees can make contributions, to the company. The employees can focus on the work that’s really important like marketing and helping the company grow.

People who are in charge are making choices because they have a better understanding of the information they are looking at. Leaders are able to make these choices because they have clearer data. This clearer data is helping leaders make decisions.

Automation’s impact may be subtle day to day, but over time it becomes structural.

Automation doesn’t announce transformation — it embeds it into how businesses operate, compete, and grow.

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