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Enterprise Ready Generative AI

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Dilek S.
Enterprise Ready Generative AI

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Hello AI-Enthusiasts,

Over the last months for sure you have tested and tried OpenAI’s ChatGPT, which you could use to get usecases with foundation models in generative artificial intelligence. Adoption helps to leverage significant amounts of data to start designing and discovering new solutions to business and societal problems such as those related to sustainability, life sciences, customer care, employee experience and many more.

But you need also to ask questions like:
How can you trust the algorithms and outputs of these models?
How can we ensure that these models are being used responsibly?

This is a dialogue that IBM is engaging in with our clients and partners every day. Advances across AI technology are happening quickly. At the same time, governments around the world are continuously evaluating and implementing new AI guidelines and AI regulation frameworks. We think that businesses have an opportunity to act now to put guardrails in place internally to govern how AI is developed and deployed.
To scale the use of responsible AI requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle. This can also help your models adhere to principles of fairness, explainability, robustness, transparency and privacy. A comprehensive AI governance strategy encompasses people, process and technology.

Important – for registration purposes you need to register on Eventbrite with your full name: https://www.eventbrite.co.uk/e/enterprise-ready-generative-ai-tickets-721941535567?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=ebdsshcopyurl

16:00 - 16:30 Arrival and Registrations
16:30-16:45 Welcome Welcome Dilek Sezgün (AI, Big Data and Open Source Leader @ IBM)
16:45-17:15 Generative AI for enterprises by using IBM watsonx
Speaker: Maximilian Burkhardt (Technical Specialist - Data & AI @IBM) Abstract: Maximilian Burkardt will present IBM’s strategy around Foundation Models and what are the benefits for enterprises working with IBM watsonx. There will be a live demo of the key capabilities to maintain a successful Large Language Model lifecycle (e.g. Model selection, Prompt Engineering, Tuning,..).

17:15-17:45 Using Generative AI in The Context of Ideas Management Speaker: Mahdy Shabeeb (Senior Data Scientist @ X-integrate)
Abstract: "Everyone talks about AI these days, but many businesses still don’t know how to benefit from it. X-Integrate, part of Timetoact Group, has much expertise in the area of AI and thus already developed several use cases for clients to reduce manual workloads or improve efficiencies by leveraging Generative AI capabilities."

17:45-18:50 Transformative Applications of Language Models: Retrieval-Augmented Generation, Summarization, and Entity Extraction
Speaker: Florin Manaila (Principal AI Engineer - Science and Technology Lead, IBM Client Engineering @ IBM)
Abstract: This presentation delves into the cutting-edge advancements in Natural Language Processing (NLP) with a focus on the transformative capabilities of Language Models (LMs). We explore three pivotal areas: Retrieval-Augmented Generation, Summarization with Large Language Models (LLMs), and Entity Extraction using LLMs.
The first segment illuminates the synergy between retrieval and generation techniques, showcasing how LMs can leverage external knowledge sources to enhance content creation. Next, we delve into the realm of summarization, demonstrating the prowess of LLMs in distilling large volumes of information into concise, informative summaries. Finally, we delve into entity extraction, a vital component for information retrieval and knowledge extraction, showcasing the efficacy of LLMs in accurately identifying and categorizing entities within text.
Through comprehensive examples and case studies, this presentation offers valuable insights into the practical applications and potential impact of these advancements across various industries, ranging from content creation and information retrieval to knowledge management and data analysis. Attendees will gain a deeper understanding of the capabilities and potential of LLMs in shaping the future of NLP.

18:50-19:00 End & Wrap up 19:00 End of Meetup

Looking forward to see you!! Happy to meet you!
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Venue:
Tower One
Brüsseler Straße 1-3
60327 Frankfurt am Main

Please look for parking sports nearby or use public transport. The nearest park possibility is in the Skyline Plaza
Link to Google Maps

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Brüsseler Str. 1-3 · Frankfurt am Main