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?
Beyond LLMs: The Engineering Blueprint for building GenAI-based chat applications
Generative AI chat applications transform enterprise workflows by enabling intelligent interactions through a structured, scalable architecture and robust engineering practices.
The Real Impact of AI in Shipping Shared Services: A Practitioner’s Perspective
True AI in shipping goes beyond mere automation, enabling systems to learn and adapt, thereby transforming operations in a complex maritime environment.
A New Chapter for AI at Verizon with Mano Mannoochahr
Verizon has appointed Mano Mannoochahr as Chief Data, Analytics & AI Officer to accelerate AI adoption and integrate data-driven decision-making into the company’s core operations.
From Visa to Zopa: Jeremy Penzer Takes Charge of Analytics
Zopa Bank appoints Jeremy Penzer as Chief Analytics Officer to enhance its data-driven banking strategies and expand its range of financial products.
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.
Quantum Machine Learning: The Next Frontier
Quantum Machine Learning (QML) merges quantum computing and AI, offering innovative solutions to complex data challenges and presenting opportunities for significant economic impact, particularly in fields like finance and drug discovery.
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.