Journey to Generative AI

Achieving success with generative AI requires a modern data strategy focused on aligning mindset, people/process, and technology. Customers will learn key elements of an effective data strategy, including a customer-centric mindset, empowered teams, and a scalable data architecture enabled by cloud services like AWS Bedrock and other AWS generative AI offerings to fuel secure and governed generative AI applications. By building these foundational capabilities, organizations can harness the power of generative AI to create business value.

Generative AI is generic and commodity unless you can integrate data about your business and customers, and that requires a modern data strategy. While technology is a critical component, learn what else comprises a modern data strategy and hear best practices for getting started on your journey today.

Enterprise GEN AI Deployments can deliver tremendous business impact but can also be complex and costly. Having an executive understanding of these workloads will help you to deploy these projects more effectively. In this session, we give an executive overview of Large Language Model (LLM) inference, detailing technical workings and cost optimization strategies to manage deployment expenses effectively. Subsequently, we will illustrate how this framework can be applied to a specific domain using video analytics for logistics, manufacturing and retail operations as an example. We will demonstrate how one can utilize Vision-Language Models (VLMs) to build a pipeline that addresses safety and compliance monitoring, layout optimization for stores and warehouses, and assembly process enhancement with minimal data collection and engineering effort. This practical overview equips you to leverage these advanced technologies for significant business impact while managing costs efficiently.

Let's explore the transformative potential of Generative AI, guided by insights from cloud experts and industry leaders. We'll delve into real-world examples of AI innovations, strategies for C-level executives to integrate AI successfully, and best practices for enhancing customer experiences and driving business growth. Our discussion will also cover the most anticipated advancements in Generative AI over the next 12-24 months and their potential impact on businesses. Additionally, we'll address the ethical and regulatory considerations surrounding AI use, and examine the build vs. buy decisions executives face when choosing AI solutions.