Analytics & Business Intelligence
The Flood of Data From IoT Is Powering New Opportunities — for Some
IoT early adopters are reaping rewards in more timely, accurate, detailed, and reliable data.
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.
IoT early adopters are reaping rewards in more timely, accurate, detailed, and reliable data.
Managers should start incorporating AI into business processes now.
A new MIT SMR and BCG initiative investigates the challenges and opportunities AI offers business.
AI is expected to be the single most disruptive new capability for companies in the next decade.
Advanced risk identification tools require companies to take a new approach to supply chain resilience.
Automation and robotics could have far-reaching effects on labor — ones we’ve seen before.
The ability to monetize data — not hoard it — can offer competitive advantage in the digital economy.
In this webinar, Thomas H. Davenport and Stephan Kudyba discuss the process of developing a new generation of data products.
Providing up-front structure for data may reduce the need to process it — and limit distortions.
There’s a boom in using analytics for human resource decisions. Tenure decisions should be next.
Subscription e-commerce uses AI to offer personalized, low cost, convenient products. It’s working.
Miscommunications between decision makers and data scientists are common. Enter the data translator.
HR analytics is the next big change in human resources management.
Live webinar with MIT SMR authors of “Designing and Developing Analytics-Based Data Products.”
A series of small errors in data can lead to major mistakes.
Technology innovators should be wary of letting big data speak for itself.
In this webinar, Professor Marshall Van Alstyne discusses how platform strategy and IoT combine to produce value for all players in the ecosystem.
In a video discussion, four panelists discuss how several prominent organizations are using data and analytics to transform their operations.
Video panel features a discussion of real-life cases: organizations becoming analytical innovators.
Developing and deploying successful analytics technologies means recognizing that the human factor is paramount.