Analytics & Business Intelligence
The Transformational Power of Recommendation
Recommendation engines promise to revolutionize how customers buy and employees work.
Recommendation engines promise to revolutionize how customers buy and employees work.
Leaders need to examine their core beliefs if they want to prosper in a COVID-19 world.
Encouraging employees to speak up, growing data and analytics talent, and nimbler supply chains.
A Q&A with AWS’s Ishit Vachhrajani on how leaders can generate excitement about and support for AI organization-wide.
Companies need to identify the type of talent they need in order to become data-driven.
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.
Companies can use data and collaborative scenario plans to enhance supply chain responsiveness.
A new MIT SMR Executive Guide offers managers and decision makers new insights, research, and strategies for leading a data-driven culture.
The fashion retailer’s chief data and analytics officer uses agile pilots to assess and scale technology initiatives.
Porsche is accelerating innovation by emphasizing the need for collaboration between humans and AI technology.
AI is a powerful tool for innovation when leaders communicate its benefits.
In this webinar, AI experts from Pure Storage and Nvidiadiscuss a unified plan for implementation.
Bridge-building for business and data teams, responsible AI practices, and smart time management.
To better align data teams with business operations, a new organizational structure is needed.
Organizations need to develop more-robust processes to ensure responsible use of 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.