By Daniel W. Rasmus, Serious Insights

The modern enterprise operates in an increasingly turbulent and uncertain landscape. Traditional, linear planning processes—often treated as fixed blueprints—are failing to keep pace with the rapid cascade of change. Organizations require a more dynamic and adaptive approach: a strategic conversation that integrates knowledge deeply into core operations and decision-making, transforming them into continuous learning entities. 

By Rex M. Lee | Investigative Tech Journalist

Today’s AI-infused mobile apps, browsers, chatbots, and gaming platforms don’t just monitor your behavior—they enable multiple companies and governments to monitor, track, and data mine you for profits simultaneously through cross-platform surveillance technologies, often without your knowledge or consent.

And sometimes, without you even using their services…

By Daniel W. Rasmus

Since the late 1990s, mind mapping has been a digital proxy for representing Tony Buzan’s freewheeling paper-based maps, giving them enhanced features, first for editing and then for all manner of activities from financial control or project planning.

By Rex M. Lee, Security Advisor and Investigative Tech Journalist

ByteDance, the Chinese tech conglomerate behind TikTok, is at the center of a patent infringement controversy involving the alleged illegal replication of social video playback and sharing technology that the US Patent and Trademark office granted a patent for.

The case raises serious questions about intellectual property theft, national security, and the complicity of Big Tech in enabling foreign adversaries.

By Bob Violino for CIO.com

CIOs with an eye for AI’s promise of improved productivity often find their efforts hindered by data quality, skills gaps, and sabotage, among other factors.

Artificial intelligence — and generative AI in particular — is fast proving to be a useful solution for increasing productivity across the enterprise but several common barriers to success remain.

The sooner IT leaders can identify and overcome these issues, the faster they will enable their organizations to get more value from AI-based systems.

By Rich Staples 

With all the buzz around Generative AI, it’s easy to forget that it’s just one type of artificial intelligence. Time Series, Geospatial, Computer Vision, and Graph AI are also growing fast—sometimes even faster than GenAI— particularly in sectors where real-time predictions and pattern recognition are business-critical.

Take Computer Vision: you've seen it in action in manufacturing, retail, and in medical imaging. But Time Series AI? It's not grabbing headlines, yet it's quietly driving massive outcomes behind the scenes. So What Is Time Series AI?

There have been growing calls to counter China's rise in technological advancements, especially in realms like AI. But what exactly are the risks to Americans? NTD spoke with Rex Lee.

Interview with Rex Lee, My Smart Privacy

By Rex M. Lee, Security Advisor & Investigative Tech Journalist, My Smart Privacy

Despite strong privacy laws like Europe’s GDPR and California’s CCPA, Big Tech exploits mobile apps to bypass protections, turning smartphones into data-harvesting tools. Here’s how they do it—and why it matters for your privacy. 

May 13th, 2025

TechTalk Summits proudly celebrates Advisory Board Member Shahidul Mannan, Chief Data, Analytics, and AI Officer at Orlando Health, for his inclusion in Orlando Business Journal’s 15 People to Know in Aerospace & Technology. A leader in AI and data analytics, Shahidul drives innovation in healthcare and beyond.

By Daniel W. Rasmus

As organizations embrace the democratization of AI, they often overlook the messy realities lurking just beyond the pilot projects and training sessions. Giving end users the tools to build and deploy their own AI agents sounds empowering—and in many ways it is—but without careful design, clear governance, and shared intent, it also invites a wave of unintended consequences. Before celebrating the creativity unleashed by user-developed agents, it’s worth stepping back and asking: how might this new autonomy create conflict, confusion, and risk inside the enterprise? Here’s a closer look at how agents can go wrong.