
Mohan Krishna Mannava
Data & AI LeaderTexas Health

Mohan Krishna Mannava
Published content

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The recent release of TIME’s 2025 TIME100 AI list underscores how much attention is focused on foundation models, generative agents and consumer‑facing AI tools. Yet a closer look suggests that many powerful AI applications are still flying under the radar. That’s where the Senior Executive AI Think Tank comes in—a curated group of experts in machine learning, generative AI and enterprise AI applications who combine technical depth with executive perspective. In this article, they use real-world insight to examine which industries and use cases are underrepresented in lists like TIME’s and explore the biggest AI frontiers that deserve attention now.

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Earlier this year, Amazon Web Services introduced Kiro, a new agentic AI‑Integrated Development Environment (IDE) designed to transform how software gets built—moving beyond prototype experimentation and toward structured, production‑grade code. The trend of vibe coding—loosely defined as using powerful AI agents to generate code directly from intuitive prompts—has been gaining attention. At the same time, tools like Kiro are being launched to offer guardrails and structure, addressing many of the common pitfalls of rapid AI‑driven development. The Senior Executive AI Think Tank, a curated group of experts in machine learning, generative AI and enterprise AI applications, has examined what enterprises adopting AI vibe coding—and especially tools like Kiro—might mean for engineering teams and the future of product development, and offer actionable strategies for how firms can respond, adapt and lead in the next wave of AI‑augmented product development.

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In July of 2025, YouTube announced significant updates to its monetization policies under the YouTube Partner Program (YPP), explicitly targeting “mass‑produced, repetitious or inauthentic” video content—much of which is enabled by generative AI tools (that even they themselves continue to roll out). The move is broadly seen in media and creator communities as a reaction both to advertiser pressure and to user frustration with what has been dubbed “AI slop”—videos that generate clicks but erode trust and engagement. The members of Senior Executive AI Think Tank—a curated group of specialists in generative AI, enterprise machine learning and content strategy—have studied the implications of this trend. With decades of applied experience across industries, members offer both caution and opportunity: While there is reason to believe YouTube’s action could be a turning point, much depends on how platforms, regulators and creators respond.