This talk will discuss the latest trends in AI and how they are being applied in the enterprise. We will cover a range of topics from predictive analytics to generative AI, and provide real-world use cases and actual enterprise AI applications that demonstrate the impact of these technologies on business outcomes. The session will also explore the challenges and opportunities that organizations face when implementing AI solutions, and provide insights into best practices for successful AI adoption. We will also discuss best practices for building and deploying AI applications for the enterprise, and how to ensure that they are robust, reliable, and scalable.
Manas Talukdar is a senior industry leader in Data Infrastructure and Enterprise AI. He has significant experience designing and developing products in artificial intelligence and large-scale data infrastructure, used in mission critical sectors across the world. He is a senior member... Read More →
Search databases are integral to information retrieval and facilitation of similarity-based content discovery, playing a pivotal role in generative AI tech stack. Within this framework, the synergy of lexical and vector search algorithms enables the combination of structured and unstructured data, optimizing the precision, diversity and efficiency of LLM and RAG systems.
As a result, the demand for powerful search infrastructure is higher than ever: organization data is growing exponentially, while millions to billions of documents are becoming standard and the search queries become more resource-intensive, presenting significant performance, scalability and cost challenges at production-grade systems.
In this session we will explore various techniques to address those challenges, from space reduction to approximation methods as well as a range of acceleration technologies, which are highly parallelizable and designed for large scale real-time production systems. Transitioning from lab to production is not always seamless and contributing to the failure of numerous AI projects, the session target is to provide insights and solutions directly impacting the efficiency and success of future Gen AI applications.
