Technology and engineering leaders need to move beyond the initial AI hype cycle and identify the foundational decisions that determine whether enterprise AI actually succeeds—particularly around data quality, architecture, governance, security, and responsible agency. In this upcoming installment of AI Tech Talk, host Morten Rand-Hendriksen and guest Kay Malcolm challenge leaders to evaluate whether their organizations have the underlying data and systems needed to support AI at scale, rather than focusing solely on adopting the latest models and tools.
This live conversation gives leaders an opportunity to learn from earlier tech cycles and consider what organizations need to get right in the next phase of enterprise AI. Stick around to the end for a special Q&A session, where you’ll have a chance to get your questions answered live.
You’ll learn about:
✔ The data, architecture, and governance weaknesses that can limit enterprise AI initiatives
✔ The security and operational risks of connecting AI systems and agents to corporate data and tools
✔ The foundational investments leaders should make to move from AI experimentation to sustainable enterprise implementation
Check out https://lnkd.in/AIRealityCheck to register and join us live on September 14, 2026 at 1 p.m. ET.
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