Leaders must deliver rapid AI innovation while handling many related people management challenges, ethical dilemmas, and security risks. One key is developing strong AI leadership skills while recognizing that human judgment remains essential. Get expert advice to help your team succeed with AI.
Companies that change processes to facilitate organizational learning with AI realize the biggest business value.
Using AI and simulations in health care can help doctors better serve patients.
Walmart’s Prakhar Mehrotra discusses leading AI teams and workstreams in this episode of the Me, Myself, and AI podcast.
Boards will need increased technology fluency to provide adequate oversight of AI risk management.
The 2020 Culture Champions, adept crisis response, and how social media reveals our mental health.
In an era of constant change, data and analytics teams must change rapidly to enable businesses to survive, never mind compete.
Three strategies lead to technology transformations that create value and enable ongoing innovation.
Executed well, good data governance can fuel digital innovation without compromising security.
Without visual annotations, charts and graphs are missed opportunities to feed your audience insights from your data.
Companies can use an array of tactics to make sure that their data products inspire action — and create value.
Data-driven culture, ethics and compliance standards for pandemic aid, and effective global operations.
Companies need to evolve and shift thinking around what it means to have a data-driven culture.
To drive major change, companies must link data quality and data science within the organization.
A Q&A with AWS’s Rahul Pathak on the advantages of transitioning your company to a data-driven enterprise.
Rooting out AI bias, assessing new tech investments, and customers’ pandemic-affected preferences.
Communicating effectively with data and analytics is a key step in strategy execution.
Protocols that are used to root out bias in AI tools can— and must — be turned on the industry itself.
Companies today are swimming in data — but how do we build a data strategy that creates value?
Returning “boomerang” CEOs, job crafting, and working with robots.
Despite advances in automation, good people and good techniques remain essential to manual work.
