Storing Data and Accelerating AI: New, Open and Governed Approaches
How are you accelerating AI while increasing productivity and profitability? h3>
More than 90% of organizations, seeking to be data-driven, are accelerating their investments in AI, according to Tamr. However, as AI's use becomes a new norm, leaders must now cope with evolving customer needs, growing volumes and varieties of data, and the intensifying impact of hybrid and multi-cloud. These complexities result in siloed data, multiplying costs, and governance challenges.
Join IBM and a select group of your industry peers as we discuss this. We’ll explore how data-driven organizations are using a new, open and governed data management solution to address costs associated with storing, accessing, and optimizing analytics and AI workloads, while improving time to insight and increasing productivity. Discuss the best practices in this Meet The Boss roundtable.
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership.
Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
How are you simplifying development while improving application database resiliency?
Do you know how to reduce decision latency and improve performance while cutting costs?
How do you manage the cost of analytics based on performance and cost requirements?
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In-depth face time with the world’s leading tech companies pushing the boundaries to solve your challenges
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