Building Sophisticated AI Business Applications in the Cloud (Mexico Time)
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Monday, October 14, 2024
Time: 10:00 a.m. CST
Business success increasingly depends on AI-powered applications. TDWI research shows that enterprises are placing a high priority on deploying sophisticated, high-performance, and low-latency AI applications in the cloud.
At the heart of this new wave of cloud applications is generative AI. Leveraging large language models, vector databases, and other sophisticated new platforms, generative AI is the intelligence behind chatbots, copilots, and other embedded digital assistants and contextual recommenders within the next generation of business applications. More often than not, developers are accessing these and other capabilities within their preferred coding platforms, often as containerized or serverless functions. In addition, many organizations are also turning to cloud data marketplaces to access entire AI-powered business applications or the libraries, models, and code needed to build applications themselves.
In this webinar, TDWI VP of Research Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. She will be joined by Prashanth Thandavamurthy from Snowflake for an in-depth discussion of the topic, covering the following key issues:
- What is a hybrid data storage architecture and what types of business applications is it best suited for?
- How can serverless access to AI services accelerate deployment of generative applications in the cloud?
- What is the role of vector databases in building, training, and optimizing generative business applications in the cloud?
- How should application developers leverage distributed containerized services to build embedded analytics in business applications and low-latency cloud-based AI applications?
- What is the most promising approach for monetizing AI business applications that are built in the cloud?
- What is the current state of the relational database world, given that online transaction processing (OLTP) is a completely different engine and stack than online analytical processing (OLAP)?
- What is causing data silos, and how can you simplify your architecture to reduce operational burden?
- How can you accelerate development of new features and use cases?
Guest Speaker
Prashanth Thandavamurthy
Product Marketing Lead
Snowflake
Prashanth is an experienced product marketer with a track record of developing effective go-to-market strategies and driving growth to achieve strategic business goals. Before joining Snowflake, Prashanth worked for startups and established enterprise software, cybersecurity and network infrastructure companies. He holds a BS in Electronics & Communication Engineering from Bangalore University and an MBA from Santa Clara University. In his free time, Prashanth enjoys hiking, traveling and playing chess.
Fern Halper, Ph.D.