The Food Supply Chain Analytics and Sensing (FSAS) Initiative is creating predictive analytical tools and technologies to improve the design and management of safe and reliable food supply chains
Work with MIT Sloan students to solve impactful business challenges during a 7-month experiential project
Positioned at the intersection of technology and management, MIT Sloan is a meeting place for the leading thinkers and researchers to collaborate, explore, and invent.
Evaluate why BBVA established its data science center of excellence as a separate legal entity, and how that structure helped attract talent, pursue external data products, and experiment outside traditional banking routines. Examine how the CoE created value through a mix of external monetization,...
Explain how J&J translated the strategic plans of its operating companies into a defined skills agenda before adopting any AI tooling. Assess how J&J’s data-source criteria and its governed HR Data Hub determined what the skills-inference model could learn. Compare AI-inferred skills assessment at...
Explain why PepsiCo needed granular shopper insight as growth slowed, SKUs multiplied, consumer preferences fragmented, and retailers advanced their own analytics capabilities. Distinguish the PepsiCo Demand Accelerator from a conventional analytics center of excellence by focusing on its commercia...
Analyze how an incumbent bank can move beyond digitizing existing operations to building the capabilities of a future-ready enterprise (becoming “digital to the core”). Examine DBS’s GANDALF transformation as a way to rethink the technology core of a bank, including cloud, automation, agile deliver...
Recognizes data architecture as a strategic growth enabler, not just an IT modernization effort. Diagnoses how fragmented customer, dealer, asset, and telemetry data can limit a company’s ability to deliver consistent digital experiences. Weighs the decision to build a reusable enterprise platform...
