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Available On-Demand - This webinar has been recorded and is now available for download.

Laying the Groundwork for AI: Addressing Infrastructure Hurdles for Optimal Model Training

Webinar Speaker: David Loshin, President of Knowledge Integrity

Date: Tuesday, July 25, 2023

Time: 9:00 a.m. PT / 12:00 p.m. ET

In today’s competitive landscape, companies are eager to harness the power of AI for competitive advantage. In a recent TDWI survey, close to 70% of respondents stated that demand for machine learning was increasing, not to mention interest in newer kinds of machine learning such as generative AI. Yet, the infrastructure needs to support scalable ML model development and deployment are often overlooked. Efforts to effectively access and utilize GPUs often lead to extensive data engineering managing data copies or specialized storage leading to out-of-control cloud and infrastructure costs.

Join us for this TDWI webinar to learn more about the infrastructure hurdles associated with AI/ML model training and deployment and how to overcome them. Topics include:

  • The challenges of AI and model training
  • GPU utilization in machine learning and the need for specialized hardware
  • Managing data access and maintaining a source of truth in data lakes
  • Best practices for optimizing ML training

Guest Speaker

Sridhar Venkatesh
SVP of Product

Sridhar brings over 20 years of product experience in both start-ups and larger companies. Most recently, he was VP product at Avalara where he was responsible for their content business, data infrastructure, and AI/ML platform. He joined Avalara through their acquisition of Indix, a start-up he cofounded to build a big data platform for product information. Prior to Indix, Sridhar served as CEO of CARC, an Alcatel joint venture focused on expanding broadband penetration across India and other developing countries. Earlier, Sridhar led a product team at Cerent, one of Cisco’s largest acquisitions, and co-founded Caymas, an enterprise security start-up sold to Citrix. He holds a BS and MS in electrical engineering from MIT and started his career working on GM’s electrical vehicle in the early ‘90s.

David Loshin

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