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7226: Put Open Source to Work for Data and AI

Cross-analytics Solutions

Open source is no longer the future—it is how corporations and individuals interact now, to share and test software, interact with content, and engage with a community. IBM has demonstrated a sustained commitment to driving innovation in open source, including in our Data and AI portfolio. Our information architecture supports open data and AI to allow our clients to benefit from and participate in open enterprise. Attend this session to hear from senior executives about the open source journey so far, and what the future holds.

Topic:
Core Curriculum Data and Analytics Cross-analytics Solutions
Venue:
Data & AI Theater C
Time:
Thu (February 14), 9:30AM PT

Speakers

Daniel G. Hernandez

Vice President, IBM Analytics, IBM

As Vice President of IBM Analytics, Daniel G. Hernandez defines the direction and strategy for the IBM Analytics' three core businesses: Hybrid Data Management, Unified Governance, and Data Science & Machine Learning businesses.  Daniel’s team is responsible for the strategy, roadmap, 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, Decision Optimization offerings, and more. Major releases and partnerships during his tenure include IBM Cloud Private for Data, the Hortonworks IBM partnership, and several offerings that have won Red Dot Awards for Design.

Jamie Engesser

SVP, Product Management, Cloudera