AI agents must be designed around clear business outcomes and KPIs rather than starting as lab experiments or proof-of-concept demonstrations
The biggest opportunity lies in automating 'operational grey zones' where handoffs, reconciliations, approvals, and data lookups still depend on manual human work
Successful agentic AI requires an enterprise platform that balances autonomy with governance, observability, and strict guardrails from the beginning
Ask the AI about this article →
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Israeli startup DataAgent Ltd
SK Hynix presented a custom HBM concept at SEMICON Taiwan 2026, where compute functions are placed in the base…
Nvidia reported earnings that were both remarkable and boring, reflecting its focus on avoiding a consolidated…
Anthropic has agreed to a $35bn cloud-computing contract with Lambda, a Nvidia-backed cloud provider
The Supreme Court of Japan has included about ¥60 million in its fiscal 2027 budget request for AI-related exp…
The Consumer Affairs Agency said Tuesday it will use generative AI to analyze about 900,000 annual consultatio…
