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06/02/2026

Our CEO Marc Fischer is featured in a Forbes Technology Council roundup on pairing agentic AI with IoT for real-world use cases.

Marc's focus: home emergency response. Sensors already detect smoke, wind shifts and ember strikes. The technology exists. But most systems stop at the alert and wait for a human to decide what happens next.

When you add an agentic AI layer, the system stops notifying and starts acting. Presoaking roofs. Closing vents. Shutting gas lines. Handing responders a structured brief before they pull up to the scene.

The insight applies well beyond emergency response. Across every industry represented in this piece, the pattern is the same. Organizations sit on enormous volumes of real-time sensor data. The bottleneck is never detection. It's the gap between knowing something is wrong and doing something about it.

Agentic AI closes that gap. Not by removing humans from the equation, but by shifting their role. Instead of watching dashboards and reacting, people set the guardrails and govern the outcomes. The system handles the speed.

That shift from "monitor and respond" to "detect and act" is where the real operational gains live. And it's where we see the most exciting work happening right now at the intersection of AI and connected devices.

Pairing agentic AI with IoT can provide faster, more adaptive ways to respond to changing conditions while still keeping human oversight in place where it matters most.

05/28/2026

Our CEO Marc Fischer was featured in Forbes Technology Council this week, and his contribution hit on something we think about a lot at Dogtown Media.

Most conversations about AI focus on efficiency. Faster workflows. Fewer clicks. Lower costs.

But some of the most meaningful applications aren't about speed at all, they're about preparation.

As Marc put it: "A prepared parent asks different questions than one holding a folder."

He was talking about parents of children with disabilities walking into IEP meetings outnumbered by specialists who know the system better than they do. AI can help close that gap, reviewing evaluations, flagging what's missing, translating complex language into plain English before the meeting even starts.

That's one example. But the principle applies everywhere.

When someone navigates a healthcare decision, a benefits enrollment, a legal process, or a financial crossroads, the outcome often depends less on the options available and more on whether that person understood them well enough to advocate for themselves.

Read the full Forbes Technology Council article to see how 20 tech leaders are thinking about AI as a decision-support tool, not a decision-maker.

AI’s next wave of value may come from helping people make sense of complex decisions and processes when guidance is hard to find, too expensive or stretched thin.

05/15/2026

Most companies track which AI tools their employees use.

That tells you almost nothing.

What matters is what employees paste into those tools. Client contracts summarized in ChatGPT. Financial models formatted in Gemini. Proprietary code uploaded for a quick refactor. That content leaves the organization and nobody logs it.

DLP solutions catch email attachments. CASBs flag unauthorized file shares. But prompt content flows out through the browser completely unmonitored.

Our CEO Marc Fischer shared his perspective on this in a new Forbes Technology Council roundup on reducing data leak risks from browser-based AI tools. His take: organizations need to treat prompt content with the same rigor as outbound email. Capture it. Log it. Make it auditable.

Not to police every query. Heavy-handed monitoring kills adoption and pushes usage to personal devices where visibility drops to zero. But when something goes wrong, someone needs to know what left the building.

The full piece features 20 technology leaders weighing in on the problem, and several points stand out:

→ Give employees sanctioned AI tools before banning the unsanctioned ones. Blocklists just move usage to personal phones and laptops.

→ Classify your data before building guardrails. No browser extension or proxy helps if the organization doesn't know what counts as sensitive.

→ Train people on the actual risks. Every technical control loses to a well-meaning employee who doesn't understand the exposure.

The gap at most organizations sits between "we have an AI policy" and "we know what's actually happening." Closing that gap starts with visibility into the prompts themselves.

Browser-based AI tools can streamline workflows, but without clear safeguards, sensitive company information can be exposed through prompts, file uploads or integrations.

05/11/2026

Sustainability reporting has a timing problem.

Most organizations treat it as an annual exercise. A team scrambles to reconstruct twelve months of energy use, supplier activity and material flows from whatever records survived the year. The output gets polished, published and filed away until the next cycle begins.

The gap between what happened and what gets reported is where trust quietly erodes.
Blockchain offers a different model. Instead of attestation after the fact, every action is logged as it occurs. Suppliers, auditors and internal teams all reference the same tamper-resistant record. The question stops being "do we trust this number" and becomes "do we trust this system."

For organizations exploring this shift, a few principles tend to separate the serious efforts from the performative ones:

Start with the data layer, not the disclosure. A clean report built on shaky inputs is still a shaky report.

Focus on claim integrity in multiparty supply chains. Scope 3 emissions and recycled material provenance are where verification matters most, and where self-reporting tends to break down.

Pair the ledger with smart contracts that tie incentives to outcomes. Recording what happened is useful. Automatically rewarding or penalizing based on real impact is what moves behavior.

Sustainability does not fail from a lack of claims. It fails from a lack of proof. The technology to close that gap already exists. The question is which organizations will actually use it.

What's holding your industry back from making the shift?

Blockchain can create shared, tamper-resistant records multiple parties can review and trust, which could help close persistent gaps in transparency and accountability.

04/27/2026

Your brand's biggest security threat might already have its own domain name.

Domain squatting has evolved far beyond someone registering a misspelled version of your URL and hoping for accidental traffic. Today's attackers create pixel-perfect clones of legitimate websites, spin up convincing email domains, and launch credential-harvesting campaigns within hours of registration.

Most organizations discover the problem after a customer reports a phishing email. That timeline needs to shrink dramatically.

Our CEO Marc Fischer shared his perspective on this in a recent Forbes Technology Council piece, and the core message is simple: proactive monitoring beats reactive cleanup every time.

What that looks like in practice:

Crawl newly registered domains daily and compare them against your brand assets. When a match appears, cross-reference it with phishing databases and certificate transparency logs to assess how serious the threat actually is. Then act. Coordinate takedowns with registrars. Push alerts to your customers. Update email filters to block fraudulent domains before messages reach a single inbox.

The article features insights from nearly 20 security leaders, and the consensus is clear. Detection speed matters, but response speed matters more. The gap between a squatted domain going live and your team doing something about it is where the real damage happens.

Read the full Forbes piece for the complete breakdown of detection and response strategies companies should have in place right now.

Companies need ways to identify suspicious sites quickly beyond occasionally checking for lookalike domains or waiting for someone to report a problem.

04/15/2026

Our CEO Marc Fischer was featured in Forbes Technology Council's latest expert panel on low-cost ways to defend your identity online.

Marc's tip: ditch SMS-based two-factor authentication and switch to an authenticator app. SIM swapping attacks have made text-message verification surprisingly vulnerable, and an authenticator app living on your device is far harder for attackers to compromise.

The broader panel covered 19 other practical defenses, and a clear pattern emerged. The most effective identity protections are not expensive tools or complex platforms. They are small defaults that close off the gaps attackers rely on.

A few themes worth highlighting for any organization thinking about identity security:

Passwords are the weakest link. Panelists repeatedly pointed to passkeys, hardware security keys, and continuous verification as the direction of travel. If your critical accounts still depend on a shared secret, you are one breach away from a bad week.

Friction in the right places is a feature. Two-party approval on wire transfers, real-time login alerts, and payment preauthorization all add seconds to a workflow and subtract hours from incident response.

Data minimization beats data protection. Freezing credit, deleting dormant accounts, fragmenting your digital footprint across aliases. The identity you never exposed is the one no one can steal.

Convenience features are attack surface. Autofill, SMS codes, and "remember me" toggles quietly expand your risk in ways most users never notice.

Read the full panel on Forbes, and give Marc's advice a try this week. Switching to an authenticator app takes about five minutes and closes one of the most exploited gaps in personal security.

What identity defense has your team adopted that you wish was more widely used?

While no single step can eliminate the threat of being caught in a data breach, practical safeguards can make it much harder for criminals to misuse stolen information.

04/07/2026

Our CEO Marc Fischer was featured in Forbes this week, sharing his perspective on why SaaS pricing models need a fundamental reset.

His argument: most SaaS pricing punishes customers for normal business fluctuations. Lock in for a year. Pay for seats you might not use. Scale up and the bill jumps. Scale down and you're still on the hook. The customer loses no matter what happens.

Marc's alternative is commitment tiers that reward growth organically. Per-unit costs drop as usage increases. If usage dips, the customer isn't penalized. The economics stay fair in both directions.

When your customer's success and your revenue move in the same direction, retention takes care of itself. When they don't, no contract length in the world fixes the underlying problem.

As Marc put it in the piece: "When scaling up costs less per unit and scaling down isn't punitive, customers stop viewing your contract as a risk and start seeing it as a partnership."

Finance teams scrutinize every software line item now. The SaaS companies getting this right make it easy to stay, easy to grow, and easy to justify the spend internally.

Traditional pricing models may no longer attract budget-conscious buyers who want flexibility, transparency and a clearer connection between cost and business impact.

04/02/2026

Our CEO Marc Fischer was featured in a Forbes Technology Council article on the business capabilities of 6G that matter more than speed and his take might surprise you.

It's not about faster downloads. It's about density.

6G is expected to support millions of connections per square kilometer without performance degradation. That's a fundamental shift for every industry betting on connected ecosystems.

Why does that matter right now?

Because the future isn't one device doing something impressive. It's millions of devices working together seamlessly, sensors, vehicles, machines, cameras, wearables, all demanding reliable connectivity at the same time, in the same space.

And here's the thing most companies aren't considering: if you're designing connected products and IoT systems around today's network constraints, you're already building for yesterday.

The smartest organizations are asking a different set of questions:
→ What happens when our device count scales 10x?
→ Which connections are mission-critical vs. nice-to-have?
→ Can our architecture handle network congestion without failure?

Speed has dominated the wireless conversation for years. But as Marc put it in the article, "Speed means nothing if half your endpoints drop off when the network gets crowded."

The 6G era will reward the companies that plan for density, not just velocity.

6G’s biggest business value may not be raw speed enhancement but capabilities that make connectivity more intelligent, dependable and adaptable.

03/30/2026

Our CEO Marc Fischer was featured in Forbes this week, weighing in on how Sky Computing can reshape engineering organizations.

His take: the biggest problem with multicloud isn't technical. It's structural.

Right now, most companies hire cloud-specific engineers. AWS people over here, Azure people over there. Each group builds its own processes, its own tooling, its own way of doing things. On paper, you have one engineering org. In practice, you have several smaller ones that don't speak the same language.

Sky Computing offers a way out. By abstracting away provider-specific complexity, it lets engineers focus on building product instead of managing platform quirks. That means a wider talent pool, faster onboarding, and teams that spend their energy on customer problems instead of infrastructure debates.

As Marc put it in the piece: "You stop needing an AWS team and an Azure team and start having one unified engineering organization."

That's not just a cloud strategy. That's a hiring strategy, a retention strategy, and a speed-to-market strategy rolled into one.

Multicloud strategies can create friction around performance, cost and interoperability; UC Berkeley’s “Sky Computing” model could help solve many multicloud challenges.

03/26/2026

Our CEO Marc Fischer was featured in Forbes Technology Council sharing a truth that too many organizations overlook:

AI can generate the analysis. But earning buy-in? That's a human sport.

In a piece exploring how human judgment remains essential in AI-dominated data work, Marc highlighted something we see play out constantly: Data only drives decisions when stakeholders actually believe in it.

And that belief isn't built by better dashboards or faster models. It's built by people, people who can sit across from a skeptical executive, understand the real concerns behind the pushback, and connect the data to what actually matters to the business.

The full Forbes article features perspectives from leaders across healthcare, supply chain, cybersecurity, and financial services, and one theme runs through every contribution:

As AI takes on more of the heavy lifting, the uniquely human elements of data work, context, judgment, accountability, and trust, are becoming more important, not less.

A few takeaways that resonated with our team:
→ AI surfaces patterns. Humans decide what matters.
→ The best insights in the world are worthless without stakeholder trust.
→ Knowing when to let AI run and when human judgment needs to take over is itself a critical skill.
→ Architecture, governance, and ethical framing are still fundamentally human work.

We believe the future of AI isn't about replacing human decision-making. It's about amplifying it, giving people better information, faster, so they can apply the judgment and context that no model can replicate.

As automation expands, the most valuable parts of data work are increasingly the ones that depend on human judgment, business context and accountability.

Dogtown Media

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