AI & Machine Learning
10 Urgent AI Takeaways for Leaders
Experts weigh in on key AI challenges for business leaders, including risk management, ethics, and data management.
Experts weigh in on key AI challenges for business leaders, including risk management, ethics, and data management.
The finance software company is using a customized operating system for AI development to build better customer tools.
The retailer’s AI ethics approach starts with concrete business examples and teaches employees to keep asking questions.
Build AI ethics into process to pave the way for AI tools that are both innovative and responsible.
Which AI tool is the best option for solving your problem? Follow this pragmatic advice to figure it out.
This Me, Myself, and AI episode features Harvard Business School professor Raffaella Sadun in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.
Apply a comprehensive cost-benefit analysis to GenAI use cases to identify where the technology may pay off.
Leaders detail Agoda’s development of a KPI that accounts for external factors and aids strategic goal alignment.
In this short video, a leadership expert shares ways to distinguish real expertise from AI-assisted interview responses.
Balance the rewards and risks of Bring Your Own AI tools and reap innovation gains.
Causal ML helps managers improve decision-making by enabling them to explore different options’ potential outcomes.
Should a chief data officer lead data and AI efforts? Three potent forces will determine the future of the CDO role.
On this Me, Myself, and AI bonus episode, MIT CISR researcher Barbara Wixom shares insights from 30 years in the field.
The consumer goods company combines GenAI and human input to synthesize and assess new ideas and consumer sentiment.
View this five-part video series to learn from leading experts about how AI is transforming the finance industry.
Agentic AI adopters must proactively address decision rights allocations, power dynamics, and decision-making practices.
Security experts share seven steps leaders can take to protect their organizations against deepfake scams.
Why is building a data-driven culture incredibly hard? It calls for a behavioral change across the organization.
For optimal business innovation, leaders must take a balanced approach to applying generative and analytical AI.
Key follow-up questions can help hiring managers probe beyond job seekers’ GenAI-coached responses.