Data, AI, & Machine Learning

Salesforce’s Paula Goldman discusses how the tech company produces value-creating solutions with ethics in mind.

Tom Davenport and Laks Srinivasan share findings from a recent Return on AI Institute study for which they interviewed more than 45 executives about their organizations’ uses of artificial intelligence.

Nasdaq’s Douglas Hamilton explains how his AI research team supports business units for the global exchange operator.

Learn how workplace analytics can be leveraged to build trust and increase employee empowerment.

Want to establish a genuinely data-driven organization? Read this Management Briefing to learn how.

ExxonMobil’s Sarah Karthigan discusses leading AI projects that focus on self-healing strategies for IT operations.

New research points to a strong, multidimensional link between AI use and improvements in organizational culture.

The visibility arising from digital employee monitoring requires purpose, policies, and management.

The collective intelligence of remote teams, synthetic data for machine learning, and delegation to bridge virtual distance.

Develop a “digital thread” that connects people, products, and processes internally and externally.

AI techniques can generate training data that retains the predictive power of real-world data.

Kartik Hosanagar’s AI-powered startup aims to help new voices find their way into film and TV.

Making better AI-based decisions, empowering remote teams, and building a learning culture to boost innovation.

New research shows that an individual’s decision-making style informs the choices they make when using AI-based inputs.

Innovation strategies for successful change, steps to building stakeholder trust in new technology, and organizational shifts for successful AI deployment.

Businesses must build trust with all stakeholders if their AI implementations are to succeed.

Companies adopting the best practices of responsible AI extract benefits while mitigating AI’s risks.

Kay Firth-Butterfield (the World Economic Forum), Ya Xu (LinkedIn), and Charlotte Degot (BCG GAMMA) join MIT SMR senior project editor Allison Ryder for a discussion on innovating with artificial intelligence.

The pandemic’s impact on business strategy, digital superpowers to thrive through disruption, and “explicit uncertainty” to avoid algorithmic harm.

To address algorithms’ potential harm, companies must be willing to focus on users and rethink their business models.