Analytics & Business Intelligence

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

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

This free webinar offers expert advice on adopting AI today and preparing for tomorrow’s challenges.

In this webinar, experts from Kaiser Permanente, Accenture, and SAS discuss business readiness for AI.

Retailers should analyze customers’ preferences before deciding how to optimize their delivery networks.

In-store technology promises a better customer experience — and fuel for improved retail analytics.

Organizations should manage data science with an appropriate structure and enterprisewide process.

PepsiCo’s Colin Lenaghan discusses AI’s role in the company’s pricing strategy and ongoing digital transformation.

Bart De Langhe and Stefano Puntoni explain how organizations can make better decisions with data.

Employers can vet people more ethically and accurately with explainable AI.

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

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

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

In this webinar, Jeffrey D. Camm and Thomas H. Davenport explain how the COVID-19 pandemic has impacted the practice of data analytics.

Revolutionary recommendation engines, data access as a leadership priority, and the essentials of successful corporate social justice efforts.

Transforming a company into a truly data-driven business involves fundamental organizational changes.

Data-driven decision-making anchors on available data, which can lead decision makers to focus on the wrong question.

Collecting and analyzing the right employee data can help leaders build more equitable workplaces.

Leaders must focus on quality, build organizational capabilities, and put data to work in new ways.

Recommendation engines promise to revolutionize how customers buy and employees work.