Data & Data Culture
Operational Safety With AI: Chevron’s Ellen Nielsen
On the Me, Myself, and AI podcast, Chevron’s Ellen Nielsen explains how AI supports workers and operational efficiency.
On the Me, Myself, and AI podcast, Chevron’s Ellen Nielsen explains how AI supports workers and operational efficiency.
Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.
Employees in connector roles can bridge the gaps between departments that often thwart data science project success.
On the Me, Myself, and AI podcast, Miqdad Jaffer explains how Shopify is using generative AI to empower entrepreneurs.
Companies that want to experiment with generative AI might find open-source models a safer bet than commercial options.
Unilever examines its AI projects with a risk analysis process that looks specifically for ethical trouble points.
New research from MIT SMR and BCG reveals most organizations are unprepared for the risks posed by generative AI tools.
On the Me, Myself, and AI podcast, Harvard Business School’s Ayelet Israeli discusses AI’s customer research potential.
Effective governance enables KPIs to evolve, remain aligned with strategic goals, and gain workers’ and managers’ trust.
Leveraging data assets for significant financial returns requires company-wide effort and education.
Consumers and top brands are cocreating campaigns using generative AI tools. Are you ready to manage the opportunity?
On the Me, Myself, and AI podcast, LG Nova entrepreneur in residence Shilpa Prasad discusses startups innovating with AI.
A panel of artificial intelligence experts weighs in on whether organizations are adequately investing in responsible AI.
On the Me, Myself, and AI podcast, Volvo’s Anders Sjögren explains artificial intelligence’s use in car manufacturing.
Research finds that managers who want to create better job roles can use an effective new assistant: ChatGPT.
Less than a year after the launch of ChatGPT, there’s a lot of uncertainty around how fast it will move into the workplace — but many experiments are already underway.
Emerging machine learning technology could enhance sound creation and the detection and analysis of acoustic signals.
A data monetization matrix can help leaders assess opportunities and approaches for converting data into revenue.
A panel of experts weighs in on whether oversight of responsible AI should be entrusted to a single business function.
HR teams must prepare for generative AI’s effects on workers’ job roles, training, and access to information.