Beyond Wrappers: Unlocking Strategic Value with Generative Agents
The next wave of enterprise AI isn’t about better answers, it’s about better questions, starting with how you frame the system.
From Coworkers to Code: How Agentic AI Will Redefine White-Collar Work
Agentic AI is redefining the very nature of work by enabling autonomous agents to collaborate and perform critical functions independently.
Future-Proofing Data Teams for Strategic Impact in the Age of AI
Data roles aren’t vanishing; they’re multiplying and shifting into more powerful, strategic spaces as organizations redefine their purpose in the age of AI.
New York State Appoints Its First Chief AI Officer, Shreya Amin, to Lead Statewide AI Strategy
New York State has appointed Shreya Amin as its first Chief AI Officer, marking a significant step in integrating AI into government operations with a focus on ethical and effective implementation.
When the Algorithm Fires the Boss
Boards are asking one thing: ‘Can our CEO lead us through AI disruption or do we need someone else who can?
Preparing Your Product for a World of AI Agents Acting Autonomously
To thrive in the era of autonomous AI agents, products must evolve beyond human-centric design. They should embrace machine-readable interfaces, adaptive feedback loops, and new success metrics to support intelligent and goal-driven automation.
Navigating AI Governance in the Generative AI Era
As generative AI reshapes industries, a recent AIM Leaders Council roundtable brought experts together to tackle the complexities of AI governance, balancing innovation with responsible adoption in a rapidly evolving regulatory landscape.
The Need for Machine Unlearning in Enterprise AI Applications
Machine unlearning enables AI systems to selectively ‘forget’ specific data, ensuring compliance with privacy regulations while enhancing efficiency in enterprise applications.
Scaling GenAI in Your Business Domain
Scaling GenAI in a business is a journey that requires strategic focus, adaptable governance, and solid data management to unlock its transformative potential.
The Ethical AI Imperative: Building Trust Through Responsible Governance
Responsible AI development emphasizes the need for transparency, explainability, and ethical governance to build trust and mitigate risks in decision-making processes.
