Managing Technology

Deloitte thought leaders discuss how to develop a holistic approach to the ethical use of technology.

Virtual, tech-mediated collaboration carries risks of isolation, exclusion, surveillance, and self-censorship.

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.

In artificial intelligence, race and gender too often generate a bias double whammy.

The risks of hubris in leadership, increased influence for minority partners, and transformative in-store tech.

Etsy CTO Mike Fisher discusses developing as a leader, speaking the language of business, and being open to change.

In-store technology promises a better customer experience — and fuel for improved retail analytics.

Organizations can benefit from taking a holistic approach toward digital transformation efforts.

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

Data science success strategies, developing simple “no-code” apps, and independent contractors’ outsider advantage.

No-code software development platforms enable nontechnical teams to create and deploy simple apps quickly.

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

Six strategies can help guide data science teams toward greater success in cross-unit projects.

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

Executive Conversation: TCS and Travelport executives discuss a new era for the travel industry.

The data science management process, job moves for pay equity, and political concerns in M&As.

This Strategy Guide explores implementing AI as part of a larger digital transformation strategy.

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