Jun 19 generative ai, llm, ML, automation
applications, devops, data analytics
This webinar features presentations around Generative AI, Large Language Models (LLM) and Machine Learning (ML), plus Application Modernization/Migration, DevOps, Data Analytics and Open Source.
Click on the green button above to register, scroll down to see the full and detailed agenda, plus expert speakers. Click on their name to view their Linkedin profile, and session title for additional information. There is time for live interaction/Q&A with the speakers so have your questions ready.
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1:05 Progress
Applications and Experiences That Set You Apart: Develop the applications you need, deploy how you want and manage it all safely and securely.
1:20 Christopher Garyet, Global AI Solutions Specialist, Microsoft
LLMOps with Azure AI: One of the biggest obstacle organizations face in adopting Generative AI technology is a strategy for operationalizing applications built on Large Language Models (LLMs). Azure AI make LLMOps easy with security, compliance and monitoring built into the development environment. This talk will describe LLMOps life cycle and how it can be done using Azure AI.
1:35 Mamoon Chowdry, Solutions Architect, AI, Machine Learning, Cloud Computing, AWS
Generative AI for Every Business: Learn how to boost productivity, build differentiated experiences, and innovate faster with AWS, leveraging its enterprise-grade security and privacy, access to industry-leading foundation and large language models (LLM), and generative AI-powered applications. Specific topics to be discussed include:
Build and scale Generative AI applications with security, privacy, and responsible AI built in from day one
Train and run inference at scale with infrastructure purpose-built for machine learning
Use AWS’ powerful and easily customized applications/capabilities to boost productivity, streamline coding, simplify business intelligence, and seamlessly integrate multiple data sources
1:50 Anil Inamdar, Global Head of Data Services, Instaclustr Business Unit, NetApp
Enterprise Platform Engineering, the Open Source Way: Platform engineering is one of the hottest topics in enterprise software development, and with good reason. It bridges the gap between pie-in-the-sky claims about accelerating application development (and ROI), and the boots-on-the-ground reality of most software teams—which are often already stretched thin while being asked to support increasingly ambitious business goals.
While there is no one-size-fits-all approach to platform engineering, it’s becoming increasingly clear that open-source software and projects are absolutely vital to its success. This talk will help you understand why and how you benefit by including open source in your platform engineering blueprint, and how to ensure the most success from that strategy.
2:05 Martin Holste, CTO Cloud & AI, Trellix
AI Safety: The OWASP Top 10 Vulnerabilities for LLM Apps: It seems there is a new article about AI safety in the media every day. Let’s unpack the myths and questions to truly understand the current state of AI and what it means to digital safety. In this session, we’ll discuss the OWASP Top 10 vulnerabilities for LLM apps and what they mean to organizations, whether they are currently using any AI or not.