Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Organizations need to create a culture in which all employees see data as their business.
Investing in the right projects requires showing evidence of value, holding individuals accountable, and creating a transparent process.
Employee analytics are being used by organizations in new ways. A focus on dignity improves data management and reinforces leaders’ respect for workers.
Companies like Fidelity Investments are creating data assets that are integrated, easily consumable, and ready to be monetized.
Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
Many AI programs do not generate business gains. New research finds the key to success is scientific, application, and stakeholder consistency.
Firms that shift to a “domain mindset” can help fill customers’ needs while expanding their own business opportunities.
Sharing data within a company is vital to creating value. Curated content, designated channels, and repeatable controls are the ways to achieve "data sharing 2.0."
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
