Data, AI, & Machine Learning

AI agents can save time — and increase risk. This three-phase approach addresses agentic AI security threats.

Once AI becomes pervasive, it no longer gives companies an edge over rivals — but cultivating creativity can.

Data quality improves radically when every employee recognizes that they are both a data creator and a data customer.

Today’s organizations need tech leaders who can also take on the cultural and change management challenges of AI.

Straightforward strategies can keep in check the mistakes, misunderstandings, and data privacy concerns that go hand in hand with AI use.

The retailer’s AI ethics approach starts with concrete business examples and teaches employees to keep asking questions.

Leaders detail Agoda’s development of a KPI that accounts for external factors and aids strategic goal alignment.

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.

The goal isn’t eliminating technical debt but managing it, focusing on the highest-value fixes, and supporting innovation.