IT Governance & Leadership

To be a technology leader, a CTO needs both tech and business knowledge, explains Two Sigma’s Camille Fournier.

A new article series explores how organizations must manage and monitor technology in new ways to achieve positive ethical outcomes.

Adapting entrepreneurial identity, adopting value-based selling, and advancing AI with an experimental approach.

DBS Bank’s CEO exemplifies how a willingness to experiment and even fail can help advance new technologies like AI.

To monetize data, companies must first transform it so it can be reused and recombined to create new value.

In this Q&A, ADP CTO Urvashi Tyagi describes a career spent solving problems that span technology, culture, and mindset.

Lucas Bobroff of Pure Storage offers insights on preventing and responding to ransomware attacks.

Organizations should manage data science with an appropriate structure and enterprisewide process.

Executives from TCS and Honeywell share their insights on digital transformation in manufacturing.

Elizabeth Renieris of the Notre Dame-IBM Technology Ethics Lab discusses how businesses can responsibly govern AI projects.

JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.

Anticipating and withstanding cyberattacks — cyber resilience — must become a companywide concern.

The incoming U.S. president should resist overreaching and adopt a tempered approach to tech industry oversight.

An expert on tech industry regulation argues that the Biden administration should step back and let innovation flourish.

Transforming a company into a truly data-driven business involves fundamental organizational changes.

ADP executive Shimon Senderowitz discusses how and why traditional HR-IT relationships are changing.

Business — and society — should think of the governance of AI as an enabler rather than a constraint.

Tech leaders should consider data privacy and security issues while also maximizing customer experience.

Porsche is accelerating innovation by emphasizing the need for collaboration between humans and AI technology.

Bridge-building for business and data teams, responsible AI practices, and smart time management.