The journey to AI begins with data, and there’s no shortage of it. In fact, anyone can collect it; the goal now is to make intelligent use of it. To do this at enterprise-scale means building a new reality for your organization. Dinesh Nirmal shares a strategic framework for streamlining your data assets, a framework that takes into account the current state of your existing data structures, the new technologies driving enterprise, the complexities of business processes, and at the foundation, the elements required in an AI-fluent data platform.
This keynote is sponsored by IBM.
Dinesh Nirmal is vice president of development for data and AI at IBM. His mission is to empower every organization to transform their industry—whether it’s aerospace, finance, or healthcare—by unlocking the power of their data. Dinesh speaks and writes internationally on operationalizing machine learning and advises business leaders on strategies to ready their enterprises for new technologies. He leads more than a dozen IBM Development Labs globally; recognizing a market need for data science mastery, he launched six machine learning hubs to work face-to-face with clients. Products in his portfolio regularly win major design awards, including two Red Dot Awards and the iF Design Award. Dinesh is a member of the board of the R Consortium and an advisor to Accel.AI. He lives in San Jose with his wife Catherine Plaia, formerly an engineer at Apple, and their two young sons.
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