Data, AI, & Machine Learning

This Strategy Guide covers identifying AI use cases — and how to know when AI isn’t the best answer.

Testing can guide decisions such as who needs to work in an office and what work hours are optimal.

Companies upskilling their workforce are less likely to be caught flat-footed by broad tech changes.

TCS and Halliburton Landmark executives discuss digital transformation in the oil and gas industry.

Preparing workers for a digital future, targeted learning, and the emotions of returning to the office.

Companies are taking different approaches to preparing their workers for the digital future.

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

Lyft’s Craig Martell talks education, eliminating bias, and cross-functional collaboration on machine learning projects.

Peer coaching plays a foundational role in developing human skills that technology cannot replace.

The skills challenge requires shifting initiatives and resources to where they are needed most.

Data science obstacles, concerns about data executive roles, and the virtual hiring process.

Only a third of data executives feel that their role is “successful and established.”

Organizations that struggle to gain payback from data science efforts can recognize and overcome five common obstacles.

A new article series explores opportunities to reimagine the future of workplace learning.

Making diversity and inclusion real, clarifying pandemic data, and how Amazon will innovate post-Bezos.

The authors describe three key challenges leaders face in communicating pandemic data and how to address them.

Planning for the post-pandemic workplace, managing hybrid teams, and optimizing your organization for AI.

To deliver on the promise of AI, leaders must focus on improving their organization’s culture and decision-making capabilities.

This webinar outlines how human-AI collaboration leads to measurable results for organizations.

Workforce ecosystems, machine discovery, human-machine collaboration, and the inventor of Wikipedia.