Data Products’ Dr. Mechie Nkengla and Michael Pompey lead a lively session at IBM TechXchange. They shared a practical playbook to move AI from pilot to production: ownership, data readiness, lean governance, adoption, and unit economics.
AI drives agendas. It shapes policy, controls narratives, and defines power.
As generative AI goes mainstream, governments are rushing to stake their digital flags. The result? AI nationalism, where countries build sovereign AI infrastructure, tighten chip exports, and embed language models into propaganda, defense, and diplomacy. It’s not about innovation. It’s about control.
The Moon is open for business. But unlike the Cold War-era space race — where planting a flag was the prize — today’s lunar scramble is powered by data, AI, and digital sovereignty. Nations and companies are no longer just reaching for the Moon; they’re racing to control it.
From Meta to Google and IBM, the pink slips are piling up. And while corporate leaders cite “efficiency gains” and “AI integration,” the real price may be the slow death of mentorship, institutional memory, and leadership succession itself.
Generative AI is forcing boards to jettison incremental “business-as-usual” thinking and instead champion genuine, innovation-driven transformation that reimagines how their companies create value.
In Part I, we explored how disinformation can tank stock prices, shred trust, and turn CEOs into unwitting deepfake villains. Now, let’s arm your brand with the tools to fight back. Spoiler: It’s not just about debunking lies—it’s about out-innovating the innovators of chaos.
Welcome to the age of disinformation security—where fake news isn’t just a PR headache, it’s an existential threat. Let’s decode how emerging tech is both the poison and the antidote.
In Part 1, we saw Agentic AI’s dazzling wins and face-palm fails. Now, let’s explore its human side: Will it redefine work, outsmart regulators, or even become your boss? Buckle up—the future’s stranger than sci-fi.
Agentic AI systems, designed to act autonomously, make decisions, and execute tasks without constant human oversight, promise to revolutionize industries. But as with any seismic shift, the hype comes with hard questions: Is this pure innovation, or are we courting unintended consequences?
This edition of Executive Data Bytes explores the concept of AI data-driven collaboration between these two critical functions, focusing on how they can operate as a cohesive unit to enhance decision-making, streamline processes, and drive business success.