What drives AI and data leaders—and what’s holding them back? This survey reveals key insights into their goals, frustrations, and what CEOs must do to support and retain them.
In this episode, Varun Nair, Co-Founder & CTO at That Works, shares hard-earned lessons from building AI startups and leading at Meta. From prioritization and product velocity to investor traction and cutting through noise, Varun unpacks what it really takes to build something that works—in every sense.
The biggest threat to battery innovation isn’t chemistry—it’s hiring. As AI transforms energy storage, the need for hybrid technical leaders is rising fast. Learn how top battery tech firms are adapting their talent strategies to stay competitive in an industry defined by speed, systems thinking, and sustainability.
AI is revolutionizing healthcare, but talent gaps are slowing MedTech innovation. From model explainability to MHRA compliance, today’s most critical hires must bridge clinical, technical, and regulatory domains. Learn why these hybrid leaders are hard to find—and what forward-thinking founders are doing differently.
In this episode, Lucas Lovell shares hard-won lessons from scaling Paddle post-acquisition, including why pricing needs full-time ownership and how to build resilient SaaS teams in the age of AI and subscription fatigue.
Despite the buzz, many CEOs still misjudge what it takes to build a successful AI capability. Hiring a few data scientists or buying an AI tool isn’t enough. This blog breaks down four persistent myths—like thinking AI is plug-and-play or that it replaces people—and offers practical takeaways for executives who want to move beyond hype and create real impact with AI talent.
In this episode, Oliver King Smith shares practical advice on AI adoption—from avoiding costly mistakes to understanding the rise of private AI models. A must-listen for leaders investing in smarter, safer AI strategies.
What Top AI and Data Leaders Really Want? What’s holding them back? From craving strategic influence and innovation, to battling talent shortages and organizational silos, their answers highlight clear priorities for CEOs: support, recognition, and room to grow.
As AI becomes mission-critical, it’s no longer enough to treat it as an IT experiment. This article breaks down why having a senior AI leader—like a CAIO—at the executive table is essential for strategic alignment, risk management, and long-term competitiveness in the AI era.
M&A is becoming the go-to strategy for companies looking to scale AI capabilities fast. From accessing breakthrough innovation to navigating industry consolidation, this article unpacks how tech leaders can leverage acquisitions to stay competitive, mitigate risk, and future-proof their growth.
As AI moves from experiment to enterprise priority, companies are rethinking their org charts. Should you appoint a Chief AI Officer, expand the CDO’s role, or keep AI under IT? This guide explores how to structure AI leadership based on your business goals, maturity, and need for cross-functional alignment.
Is the Chief AI Officer just hype, or a strategic must-have for forward-thinking companies? From sector adoption trends to governance needs and talent attraction, this piece unpacks why more organizations are adding AI to the C-suite—and whether the CAIO is here to stay.
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