Daniel Hernandez looks at how a unified, prescriptive information architecture can help organizations unlock the value of their data.
Daniel G. Hernandez is the vice president of data and AI at IBM, where he’s the head of products for the company’s hybrid data management, unified governance and integration, and AI businesses. Daniel’s team is responsible for the strategy, road map, and overall performance for IBM Cloud Private for Data, Watson Studio, Watson Machine Learning, Db2, Integrated Analytics System, Informix, Information Server, Data Replication, MDM, Optim, StoredIQ, SPSS, and Decision Optimization offerings. Major releases and partnerships during his tenure include IBM Cloud Private for Data, the Hortonworks, Mongo, and Actifio partnerships, and several offerings that have won Red Dot Awards for Design. Previously, Daniel launched IBM’s data and analytics-as-a-service portfolio and led IBM’s Unified governance and integration business. He made critical contributions to IBM’s core franchises such as enterprise content management, helped acquire companies like i2, Curam, and StoredIQ, and launched and scaled several organically grown businesses. Daniel graduated with a bachelor’s from the University of Texas at Dallas and a graduate degree from the University of Texas at Austin. He has two kids, lives in Austin with his wife, daughter, and two dogs, and sends a lot of his money to pay for his son’s education at Baylor University.