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What Cloud Computing Can Teach Us About the AI Era

Thirty years of lessons, and why they matter right now.

Almost no one believed in Cloud Computing at first. In the late 1990s, the idea that businesses would hand their data and software to a remote server, managed by someone else, seemed absurd. Critics laughed. Analysts hedged. CIOs said it would never fly.

Then it did. And it changed almost everything.

It also went by a dozen names along the way. On Demand. Utility Computing. Application Service Providers. Alternative Delivery Models. Web Services. Software as a Service. The technology found its footing long before it found its identity. Sound familiar?

We are in a similar moment with AI. The hype is enormous. The skepticism is real. The terminology is all over the place. And nobody quite knows how it will reshape the world, only that it will.

Ben Pring has a front row seat to both eras. He wrote the first analyst notes on Cloud Computing in 1997, produced the first market forecast of the Cloud’s growth potential in 2002, and has spent decades advising both buyers and sellers through the noise. In his recent piece, he draws eleven lessons from the Cloud story that he believes will help leaders navigate what is coming with AI.

Here is what stands out.

The Technology That Wins Is Rarely the One That Arrives First

Cloud Computing was not a sudden invention. It built on decades of mainframe thinking, client-server models, and early internet infrastructure. What changed was the moment when the cost, the connectivity, and the cultural readiness all lined up at once.

AI is the same. The algorithms behind today’s large language models are not new. What is new is the compute power, the data availability, and the interface design that made it accessible to everyone. The lesson: do not mistake the moment of mainstream arrival for the moment of invention. There is always more history than the headlines suggest.

Skepticism Is Not the Same as Being Wrong

Early Cloud skeptics were not fools. Their concerns about security, reliability, and vendor lock-in were legitimate. Many of those concerns took years to resolve. Some are still being resolved today.

The same will be true of AI. People who raise concerns about accuracy, bias, intellectual property, and workforce displacement are not technophobes. They are identifying real problems that the industry will need to solve. The difference between a healthy skeptic and someone who gets left behind is whether they stay engaged with the answers as they develop.

The Names Will Keep Changing. The Direction Will Not.

When Salesforce launched in 1999, it did not call itself a Cloud company. When AWS launched in 2006, the term Cloud was still niche. The category found its name years after the category existed.

Today we argue about whether to call things AI, Generative AI, Large Language Models, or Agentic AI. None of it matters much. The underlying shift, machines taking on cognitive work, is the thing to track. Do not let the branding debates distract you from the substance.

The Platform Wars Are Coming. Pick Carefully.

Cloud did not stay fragmented for long. It consolidated around a small number of dominant players: AWS, Azure, Google Cloud. Everyone else either niched down, got acquired, or disappeared.

The AI landscape will likely follow a similar path. Right now it feels wide open. In five years it will probably not be. Businesses making deep integrations today are placing bets whether they realize it or not. Understanding which platforms are likely to persist is one of the most important strategic questions of the next few years.

The Real Value Is in What Gets Built on Top

Cloud infrastructure was not the destination. It was the foundation. The value came from what companies built once they had access to scalable, affordable computing: Netflix, Uber, Airbnb, Spotify, and thousands of others that would have been impossible in a pre-Cloud world.

AI will work the same way. The models themselves are infrastructure. The interesting question is what becomes possible once that infrastructure is widely available and cheap. The companies that figure that out first will define the next decade.

The Lesson Beneath All the Lessons

Pring’s broader point is one worth sitting with. The Cloud era took about 25 years to fully mature. It was messy, non-linear, and full of false dawns and unexpected turns. The companies and leaders who navigated it best were not the ones who predicted every twist. They were the ones who stayed curious, stayed engaged, and updated their thinking as the evidence changed.

That is the actual skill. Not predicting the future. Staying oriented within it.

The AI era will reward the same qualities. Read the full article for all eleven lessons. It is worth your time.

The Natural Step to Cloud Adoption

The Natural Step to Cloud Adoption

There’s a phrase that comes up in almost every conversation about cloud adoption usually from someone in IT leadership, arms crossed, coffee going cold: “We know we need to move. We’re just not ready yet.”

It’s understandable. Cloud migrations feel big. They touch infrastructure, workflows, budgets, and people. But here’s the thing: the companies saying “eventually” are quietly falling behind the ones that said “let’s start small and figure it out as we go.” And the gap is growing faster than most leaders realize.

So let’s talk about where cloud adoption actually stands in 2025, why hesitation has gotten more expensive, and what the companies getting it right are doing differently.


The “Wait and See” Window Has Closed

A few years ago, holding off on cloud migration was a reasonable call. The tooling was immature, the security concerns were legitimate, and there were real questions about whether the ROI would pan out. Waiting made sense.

That window is closed.

Cloud infrastructure has matured dramatically. Security frameworks like SOC 2, ISO 27001, and zero-trust architectures have made cloud environments — in many cases — more secure than legacy on-prem setups. The major providers have invested billions into compliance, uptime, and tooling. And the SaaS ecosystem has developed around cloud-native assumptions, meaning that integrations, APIs, and partner tools are all built expecting you to be there.

If your team is still running core operations on legacy infrastructure, you’re not just missing out on efficiency gains. You’re actively working against the grain of how modern software is built.


What’s Actually Holding Teams Back

The reasons for slow adoption have shifted. It’s rarely a technology problem anymore. More often, it’s one of these three things:

Organizational inertia. The systems work (mostly). Changing them means training, disruption, and risk. Nobody wants to own a migration that goes sideways. So it gets kicked to the next quarter, then the next.

The “big bang” misconception. A lot of teams think cloud migration means a massive, all-at-once overhaul. Lift and shift everything. Rebuild the infrastructure. Take a deep breath and flip the switch. This is almost never the right approach, and the mental weight of that imagined project keeps teams stuck.

Unclear ownership. Cloud migration lives in a weird space — it’s a technology project, a finance conversation, and an operations initiative all at once. When it’s everyone’s problem, it’s no one’s priority.


What the Companies Getting It Right Are Doing

The businesses making real progress on cloud adoption share a few things in common, and none of them involve massive upfront commitments or heroic IT projects.

They start with a workload, not a strategy. Rather than trying to define a five-year cloud roadmap, they pick one thing — a reporting tool, a data pipeline, a customer-facing application — and move that first. The learning from that first migration shapes everything that comes after.

They treat cloud costs like a product decision, not a utility bill. Cloud spend is variable, which is new for most finance teams used to predictable infrastructure budgets. The companies that thrive are the ones that actively manage and optimize spend rather than just paying the invoice each month. FinOps as a discipline has grown up fast for exactly this reason.

They upskill continuously, not all at once. Big training initiatives have a way of not sticking. The teams with real cloud fluency built it through hands-on work, small wins, and a culture that treats cloud literacy as an ongoing investment rather than a one-time certification push.

They accept imperfection. Cloud-native is a direction, not a destination. You don’t have to have everything containerized and serverless and perfectly optimized on day one. Progress matters more than purity.


The Real Cost of Waiting

Here’s what doesn’t show up in the budget line for “infrastructure — current year”: the compounding cost of technical debt, the talent you lose to companies with better tooling, the integrations you can’t build because your systems don’t support modern APIs, and the speed you give up every time a new initiative has to work around legacy constraints.

Cloud adoption isn’t just about infrastructure. It’s about what infrastructure enables — faster product iteration, better data, more scalable customer experiences, and teams that spend their time on things that actually matter.

The companies that made the move — even imperfectly, even incrementally — are operating with a structural advantage now. And it compounds.


A Practical Starting Point

If you’re reading this and feeling the gap between where your organization is and where it needs to be, here’s a simple way to start:

Pick one process or system that causes frequent pain. Something that’s slow, brittle, or hard to scale. Ask what it would take to move just that piece to the cloud. Don’t try to solve everything. Just solve that one thing, learn from it, and go from there.

The cloud doesn’t have to be a big leap. It can be a series of small ones — each one making the next a little easier.

That’s how the companies getting it right actually got there.

New Year, New Processes: Optimizing Your Sage 300 CRE Setup for 2026

New Year, New Processes: Optimizing Your Sage 300 CRE Setup for 2026

The start of a new year is more than a calendar reset—it’s an opportunity to evaluate what’s working, eliminate inefficiencies, and set your construction business up for smarter growth. If Sage 300 Construction and Real Estate (CRE) is at the core of your operations, January is the ideal time to ensure your system is fully optimized to support your financial, project management, and reporting goals for 2026.

Many firms implement Sage 300 CRE with strong intentions but gradually fall into workarounds, outdated workflows, and underutilized features. Over time, these gaps can slow productivity, increase risk, and limit visibility into business performance. A proactive system review now can prevent costly headaches later.

Here’s where to focus your optimization efforts this year.


1. Start with a System Health Check

Before introducing new processes, take a step back and evaluate your current environment.

Ask yourself:

  • Are all modules configured to match how your business operates today?
  • Are teams relying on spreadsheets outside the system?
  • Have reporting needs evolved beyond your current setup?
  • Is your infrastructure keeping pace with security and performance expectations?

Even high-performing organizations discover hidden inefficiencies during a formal review. Identifying them early allows you to streamline operations before peak construction season begins.

Pro tip: Look for duplicated data entry, manual approval processes, and delayed reporting—these are often the biggest indicators that your system needs refinement.


2. Standardize Workflows Across Teams

Inconsistent processes create confusion, slow onboarding, and introduce unnecessary risk. Whether it’s job costing, change order approvals, or AP workflows, standardization improves accuracy and accountability.

For 2026, prioritize:

  • Documented procedures for accounting and project teams
  • Automated approval workflows
  • Consistent naming conventions and job structures
  • Clear audit trails

When everyone follows the same playbook, leadership gains cleaner data—and cleaner data drives better decisions.


3. Automate Where It Matters Most

Construction firms are under constant pressure to do more with less. Automation is no longer a luxury; it’s a competitive advantage.

Look for opportunities to automate:

  • Invoice routing and approvals
  • Payroll processes
  • Financial reporting
  • Compliance documentation
  • Data integrations between platforms

Automation reduces human error, accelerates timelines, and frees your team to focus on higher-value work instead of administrative tasks.

If your staff is still chasing paperwork or rekeying data, this is the year to change that.


4. Strengthen Security and Accessibility

Cyber threats continue to rise, and construction companies are increasingly targeted due to the financial data they manage. At the same time, teams expect secure access from anywhere—jobsites, satellite offices, and home.

Modernizing your Sage 300 CRE environment can help you:

  • Protect sensitive financial information
  • Improve disaster recovery readiness
  • Enable secure remote access
  • Reduce reliance on aging on-premise servers

A secure, cloud-hosted environment not only mitigates risk but also enhances system performance and reliability.


5. Invest in Training and User Adoption

Even the best-configured system delivers limited value if employees aren’t using it effectively.

As processes evolve, make training a priority:

  • Offer refresher sessions for existing staff
  • Build structured onboarding for new hires
  • Highlight lesser-known features that improve efficiency
  • Encourage teams to retire outdated habits

Organizations that treat training as an ongoing strategy—not a one-time event—see stronger adoption and faster ROI.


6. Align Technology with Business Goals

Your technology should support where your company is headed, not where it was three years ago.

Planning to scale? Enter new markets? Increase project volume? Improve cash flow visibility?

Your Sage 300 CRE setup should reflect those ambitions.

Consider partnering with experts who understand construction workflows and can recommend enhancements tailored to your growth strategy. A forward-looking approach ensures your system evolves alongside your business.


Make 2026 Your Most Efficient Year Yet

Optimization isn’t about reinventing your operations overnight—it’s about making intentional improvements that compound over time.

By reviewing your system, standardizing workflows, embracing automation, strengthening security, and investing in your people, you position your organization for a smoother, more profitable year.

The firms that win in today’s construction landscape aren’t just working harder—they’re working smarter with technology that supports them every step of the way.

New year, new processes, stronger foundation. Now is the time to ensure your Sage 300 CRE environment is ready for everything 2026 has in store.

Why Your Construction Business Needs Sage 300 CRE in the Cloud

Why Your Construction Business Needs Sage 300 CRE in the Cloud

Let’s be real—managing construction finances is complicated. You’ve got multiple projects running simultaneously, crews spread across different job sites, constant budget changes, and regulatory requirements that seem to shift monthly. If you’re still running Sage 300 CRE on-premise servers, you’re making your life way harder than it needs to be.

Work From Anywhere (Including That Coffee Shop)

One of the biggest perks of cloud-based Sage 300 CRE? You can actually access your financial data from anywhere. Your project manager stuck in traffic can pull up the latest budget numbers on their phone. You can review project profitability from home. The estimator can check labor costs while waiting for a client meeting. No more being chained to the office—or worse, calling someone at the office to look something up for you.

Your IT Team Can Finally Breathe

Managing on-premise servers is like having a second job that nobody asked for. There’s constant patching, backups that need monitoring, hardware upgrades, and that one time something crashes at 2 AM on a Sunday and someone has to scramble to fix it. Cloud deployment puts all that responsibility on the cloud provider instead. Your IT person stops being a server babysitter and can actually focus on things that move the needle for your business.

Updates That Don’t Disrupt Your Day

With on-premise systems, every software update means planning, testing, and usually some downtime. With cloud-based Sage 300 CRE, updates happen automatically in the background. You wake up with new features and security patches already installed. No disruption, no IT meetings about “maintenance windows,” no praying that something doesn’t break.

Security That’s Actually Better Than Your On-Premise Setup

Counterintuitive, right? But major cloud providers have security teams and infrastructure that most mid-size construction companies can’t match. They’ve got encryption, redundant systems across multiple locations, and they’re constantly updating defenses against new threats. Plus, if a data center goes down, your data is automatically available from another location. Try doing that with a server in your office.

Growing Without a Budget Nightmare

Remember when you had to buy a new server because you hit capacity? Or when you acquired another company and had to figure out how to integrate their systems? Cloud scales with you. Add 50 new users? No problem. Expand to a new region? Just start using it. No capital expenditures, no infrastructure headaches—you just grow.

You Know Exactly What You’re Paying

With on-premise systems, costs are unpredictable. There’s the initial hardware investment, then maintenance, then unexpected repairs, then upgrades, then replacement when hardware dies. Cloud is different—you pay a consistent monthly or annual fee and that’s it. Way easier to budget for and way easier to understand whether you’re getting good value.

Your Team Can Actually Collaborate

Construction is a team sport. Your estimators need to talk to project managers, who need input from accountants, who need data from site supervisors. Cloud-based Sage 300 CRE makes this seamless. Real-time data visibility means everyone’s working from the same playbook. Plus, it integrates with other tools your team probably uses anyway—CRMs, project management apps, field service platforms.

When Things Go Wrong, Your Business Doesn’t Stop

Hardware fails. Hurricanes happen. Ransomware attacks exist. With on-premise systems, a major failure can cripple your business for days or weeks. Cloud-based systems have automatic backups across multiple locations and failover systems that kick in automatically. Your data is safe and accessible even when something goes wrong.

You Can Actually Launch and Start Getting Value

On-premise implementations are slow. You need to procure hardware, set up networks, install software, test everything. It takes months before you see any benefit. Cloud implementations can be up and running in weeks. For a company that’s struggling with outdated financial processes, that matters.

The Bottom Line

Cloud-based Sage 300 CRE isn’t just a technology upgrade—it’s removing friction from how you do business. Your team works better because they can access data anywhere. Your operations are more resilient because you’re not betting everything on hardware in your office. Your costs are predictable and you’re not overpaying for infrastructure you don’t need.

In an industry that’s already dealing with labor shortages, supply chain chaos, and tight margins, why make it harder on yourself? Cloud deployment gives you the tools to run a tighter ship, make faster decisions, and actually compete with larger competitors who have better resources.

If you’re still running on-premise, it’s time to have a real conversation about moving to the cloud. Your business will thank you.

The Anatomy of a Cyber-Ready Business: Evolve or Become Extinct

The Anatomy of a Cyber-Ready Business: Evolve or Become Extinct

The Anatomy of a Cyber-Ready Business 

What does it really take to be cyber ready? It requires more than antivirus software or a firewall to be resilient. It’s about building a complete framework. Cyber readiness means knowing your risks, protecting your systems and training people to stay alert. Continuous monitoring helps spot unusual activity, while clear response and recovery plans keep disruptions from turning into disasters. 

Extinction-Level Cybersecurity Threats 

Cyberthreats today can wipe out businesses that aren’t prepared. If left unchecked, some threats can leave a lasting impact. Sophisticated ransomware attacks can paralyze systems, social engineering schemes prey on human error, and vulnerabilities in third-party vendors can quietly compromise your supply chain. Each of these threats can disrupt operations, erode trust, and jeopardize your future.

The Evolution of Cybersecurity Practices

The difference between extinction and survival comes down to how you adapt. Dinosaurs didn’t and they vanished. Businesses still relying on passwords alone, antivirus-only defense or once-a-year security training face the same fate. Cyberthreats are today’s meteors, and only evolved practices like multi-factor authentication, layered defenses and shared responsibility will ensure your business survives the fiercest storms.

What Resilient Businesses Do Differently

Cyberthreats are evolving at lightning speed, from AI-driven attacks and supply chain breaches to deepfake-powered scams. Although no defense is perfect, preparation makes the difference. Resilient businesses stand out by verifying every login, monitoring systems in real-time, training staff to recognize threats and testing their recovery strategies so they can bounce back quickly.

Where Does Your Cybersecurity Stand?

Threats are evolving, and only the most prepared businesses will stay secure. As a business leader, you know that your data, systems and reputation are at risk. The strongest businesses limit access to sensitive information, train employees to spot phishing and ensure everyone knows what to do if something goes wrong. They also test recovery plans and stay ahead of new threats. In cybersecurity, standing still is the same as moving backward. The question is, has your business kept up with the pace of change?

7 Extinction-Level Cybersecurity Threats

7 Extinction-Level Cybersecurity Threats

The dinosaurs never saw their end coming. The same is true for businesses that don’t understand what an extinction-level cyberthreat can do to their business and its future.

Cyber incidents have become routine, and all businesses, regardless of their size, are at risk. From AI-powered ransomware to supply chain compromises, today’s cybersecurity threats are smarter and harder to predict. What’s even scarier is that they’re evolving faster than traditional defenses can keep up.

In this blog, we’ll break down the top extinction-level cyberthreats every business leader should know. You’ll gain the clarity and insight you need to make smarter security decisions and stay one step ahead of what’s coming next.

The threat landscape: What you’re up against

Not all cyberthreats are created equal. Some are disruptive, but others can incapacitate your business entirely. These are extinction-level events, and they demand serious attention.

AI-powered ransomware

For cybercriminals, ransomware is a profitable enterprise, and with AI, they can do more harm than before. Gone are the days when attackers would cast their nets wide, trying to bait anyone who would fall for their scam. Today’s scams are highly sophisticated. Cybercriminals now use AI to analyze targets, identify weak points and lock down entire networks in hours.

Why it matters for leaders: With AI, cybercriminals can launch complex attacks at lightning speed, faster than human teams can detect or respond. The result? Disrupted operations, lost revenue and damage to your reputation and customer trust.

Advanced Persistent Threats (APTs)

APTs are silent operators. They infiltrate systems and quietly observe for weeks or months, collecting valuable data before making their move. Often, APTs are launched by organized criminal syndicates or nation-states, which means they have the resources and patience to wait for the perfect moment to strike.

Why it matters for leaders: APTs undermine trust. They can stay silent and quietly steal sensitive client data, intellectual property or trade secrets without you even realizing it until the damage is permanent.

Supply chain attacks

Supply chain attacks exploit the fact that businesses are all interconnected. You might have strong internal security, but what about your vendors, software providers or partners? One weak link in your ecosystem can open the door to an extinction-level threat.

Why it matters for leaders: Your business security is only as strong as its weakest link. It’s no longer enough to secure just your network; it’s equally important for you to know how your partners protect theirs.

Data breaches

A data breach isn’t just a security incident; it’s a trust crisis. Breaches often start with something as simple as a weak password, a misplaced laptop or an employee falling for a phishing email. Attackers can use these vulnerabilities to access customer records, financial information or employee data.

Why it matters for leaders: The aftermath of a breach is costly. Regulators impose fines, customers walk away and your competitors can use the incident to gain an edge while you scramble to recover from the security event.

Internet of Things (IoT) exploits

Smart IoT devices make life easier, but they also open the door to cyberattacks. From cameras to printers, many connected gadgets have weak security settings and are rarely updated, making them easy targets for criminals looking to infiltrate your network.

Why it matters for leaders: IoT devices are part of your workplace environment. Without visibility into IoT devices, businesses can become easy targets and attackers can exploit the hidden vulnerabilities to launch a company-wide breach.

Deepfakes and social engineering

We are moving into a world where, at times, we can’t trust our eyes and ears. Deepfakes and AI-driven scams make it easier for attackers to impersonate senior leaders, employees or partners. Criminals can use a convincing video call or voicemail to trick you into revealing critical company information.

Why it matters for leaders: As deepfake scams become more convincing, you’ll have to move beyond employee training. Policies and processes will have to evolve so that a convincing voice or video alone isn’t enough to authorize critical actions.

Cloud misconfigurations

The cloud has changed a lot of businesses. While it brings flexibility, it also brings risks. Simple mistakes like misconfigurations or permissions set too broadly can expose sensitive data to anyone who goes looking. A single mistake can land all your critical data in the wrong hands within hours.

Why it matters for leaders: Moving to the cloud doesn’t absolve you of your responsibilities; rather, it calls for increased monitoring. Misconfigurations are one of the easiest attack vectors for criminals, making regular cloud audits and automated safeguards essential to your defense.

Survival belongs to the prepared

Your business operates in a landscape where extinction-level threats aren’t science fiction. They are a real and growing danger for which we must all prepare. The difference between businesses that fall and those that thrive often comes down to preparation.

The good news is you don’t have to face these threats on your own. By leaning on a trusted IT partner like us, you gain:

· A clear view of your vulnerabilities

· Proactive monitoring that stops threats before they escalate

· Tested backup and recovery strategies that minimize downtime

· Strategic planning to ensure your tech evolves with the threat landscape

If you’re ready to evolve your cybersecurity strategy, we’re here to help. Schedule your no-obligation consultation today and take the first step towards resilience.