Prerequisite: None
This session will include a moderated Q&A featuring questions from the live audience.
AI is playing a pivotal role in the transformation of modern platforms for analytics. Businesses have been emboldened by a news cycle extolling the latest advances in generative AI, and they are looking to do far more with analytics than they have in the past. Once limited to solving specific analytics challenges, analytics tools are now expected to invite the next question of the data, to spot non-obvious relationships, and to solve problems interactively.
At the same time, self-service and data democratization efforts are expanding the potential footprint of analytics across the business. Today, analytics has several audiences including executive leadership, general business users, domain-specific experts, and highly technical data scientists. The expectation is that your analytics platform should be able to cater for several job functions on the same data platform.
Lastly, AI is being incorporated into the platforms themselves, augmenting analytics and automating analytics activities. Organizations have huge amounts of data and look to AI to help make sense of it. We don’t need the machines to take over the decision-making process, but we need them to augment the analyst by spotting anomalies, providing machine-driven alerts, pointing out non-obvious relations, and prompting human users.
During this session, technology expert Krish Krishnan will discuss the current state of platforms for analytics, highlight what is new, and map out the areas of focus as providers drive to meet growing demands in the era of generative AI. Krishnan will help you understand what these advances will mean for your business and cover architectural implications that will be crucial for attaining the benefits.