talk-data.com

Please rsvp for the event here: https://www.meetup.com/nlp_london/events/304258590/?utm_medium=referral&utm_campaign=share-btn_savedevents_share_modal&utm_source=link

Details

Overview: If you are using LLMs in applications for the Legal sector, then you may come across the challenges of connecting siloed information, building Assistants to automate tasks, and reliably making sense of the semantics of your data. We’re delighted to have three fantastic presentations sharing actionable insights:

1. Topic: Understanding Embeddings for the Legal Sector: How AI Distinguishes Among Concepts

Speaker: Jocelyn Matthews from Pinecone If you had a collection of every kind of animal on earth, from mules to narwhals to goldfish, how would we pick out just the housepets? And how does AI distinguish between a pack mule and a Moscow Mule? Lawyers often need to identify underlying themes or concepts to build arguments, which is akin to how embeddings distil high-dimensional data into lower-dimensional, meaningful representations. Legal professionals are skilled at recognizing fact patterns that may apply across different cases. This is analogous to how embeddings recognize conceptual or contextual similarities in data. Embeddings are numerical representations that capture the essential features and relationships of objects, like words or images, in a continuous vector space, enabling tasks such as semantic search, clustering, and recommendations. We'll explore the core concepts of embeddings, using relatable examples to make advanced ideas accessible. Legal professionals may find embeddings particularly relevant due to their ability to distinguish between different entities and concepts with nuance. Such capability is crucial for addressing legal issues like precedent analysis, data privacy, bias mitigation, intellectual property, contract review and compliance, legal research, risk management in mergers and acquisitions, and automated redaction of sensitive information. By understanding how embeddings distinguish between concepts, attendees can draw parallels to their own legal reasoning processes, gaining insights into how these AI mechanisms intersect with legal frameworks. This session encourages legal professionals to explore the intellectual and professional possibilities that embeddings present, deepening an understanding of AI’s role in law. 2. Topic: TrustGraph: AI Powered Knowledge Graphs Meet Scalable Data Engineering

Speaker: Mark Adams from TrustGraph Heavily regulated industries often see regulations as a barrier to innovation. When regulations are coupled with disconnected data silos, innovation grinds to a halt. Critical information is buried in thousands of pages - tens of thousands of pages - of technical designs that must couple to regulatory requirements. Whether it’s legal texts, compliance docs, or even industry best practices, connecting these data silos is essential to enabling technical innovation. In this technical presentation, Mark will provide a brief overview of the TrustGraph open source framework and how it can break down these information barriers and connect the most complex of data silos. The focus will be on demonstrating how TrustGraph deploys reliable, scalable, and accurate AI agents through its modular design and innovative features. Live demo of course! 3. Topic: What are AI assistants and how can they help me and how can I put AI in production?

Speakers: Christoffer Noring and Liam Hampton from Microsoft Their talk and demo will cover LLMs, Tool calling, Assistants and also showcase some practical examples where assistants shine. Prepare to be inspired and hopefully get started to create your own AI Assistant. We'll also look into IaC, infrastructure as code, some tooling associated, and how to deploy your apps.

By the end of the meetup we will have gained practical, actionable insights and takeaways that can accelerate development and deployment of NLP in production for Legal applications. Schedule 18.00: Doors Open 18:00-18.30: Networking (food, drink) 18.30-20.00: Talks 20.00-21.00: More networking Extra special thanks to our sponsors and speakers:

• Microsoft Reactor for providing the amazing venue
• Pinecone for generously sponsoring food & beverages

About the speakers

• Jocelyn Matthews is Head of Community at Pinecone.
• Mark Adams is Co-Founder and Developer at TrustGraph
• Christoffer Noring and Liam Hampton are Senior Cloud Advocates at Microsoft

Dear Data Enthusiasts, We are excited to have another focus event, this time about Graph Databases. Learn about the relevance of knowledge graphs for Gen AI and how proper graph visualization is critical to understand your data.

Register: https://www.meetup.com/vienna-data-science-group-meetup/events/302179767/

A Field Guide to Knowledge Graphs used in GenAI Andreas Kolleger, Lead for GenAI Innovation at Neo4j Join us for an exhilarating journey into the world of Knowledge Graphs within Generative AI! Graphs are the hidden backbone of GenAI applications, surfacing everywhere from the AI models themselves to intricate vector indexes and, of course, as fundamental tools for knowledge representation. We will uncover graphs' pervasive presence, delve into their diverse forms, and reveal how they weave together to form a vast, interconnected "graph of graphs." Whether you're a seasoned professional or just beginning your adventure in GenAI, this session promises to deepen your understanding and spark new insights into the critical role of knowledge graphs. Andreas is a technological humanist. Starting at NASA, he designed systems from scratch to support science missions. Then in Zambia, he built medical informatics systems that complement technology with social good. Now with Neo4j, he is democratizing graph databases which elevate understanding by emphasizing relationships.

Graph Visualization and Diagramming: The why and the how Sebastian Müller, CTO of yWorks This presentation will provide an insightful introduction to graph visualization and diagramming, featuring diverse real-world use cases from Sebastian's extensive career. Attendees will learn about a suite of free tools specifically designed for data scientists and database engineers, e.g. working with Neo4J Graph Databases. Additionally, Sebastian will offer a glimpse into the cutting-edge possibilities available to software developers interested in creating custom visualization applications. Discover how the power of visual graph representation can enhance your data science projects and your daily work. Sebastian brings over two decades of expertise in graph visualization and diagramming to this presentation. With a diploma in Computer Science from the University of Tübingen, Sebastian has collaborated with global clients across various industries, helping them visualize complex connected data.

To access this webinar, please register here: https://hubs.li/Q021Rn6z0

Topic: “Unlocking the Power of Knowledge Graphs for Generative AI in Enterprise Environments”

Speaker: Sean Martin, CTO & Co–Founder of Cambridge Semantics Sean's experience covers multiple aspects of starting and growing a software company, including holding various titles from President through to co-lead dish washer. He continues in a leadership role as CTO and serves on the board.

Abstract: Join us for an insightful exploration of how Knowledge Graphs are revolutionizing the way enterprises harness the capabilities of Generative AI.

Webinar Highlights: - Understand the rapid rise and significance of Generative AI in the data sphere. - Discover the challenges and risks associated with implementing Generative AI in enterprise settings. - Learn how Knowledge Graphs serve as a foundational technology to address these challenges. - Explore how Knowledge Graphs enable accurate responses to natural language queries and ensure data provenance. - Dive into legal considerations\, access controls\, and data privacy in the context of Generative AI. - Get practical insights on implementing Knowledge Graphs for Generative AI with real-world case studies. - Engage in a Q&A session with experts in the field.

Why Attend? In less than a year, Generative AI has transformed from a niche technology to a sought-after capability across industries. However, unlocking its potential in enterprise environments requires addressing critical concerns related to accuracy, privacy, and legality. This webinar will equip you with the knowledge and strategies to make Generative AI a success within your organization.

Who Should Attend: - Data Scientists - AI Enthusiasts - Business Leaders - IT Professionals - Decision-makers

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q021Rn6z0

Topic: “Unlocking the Power of Knowledge Graphs for Generative AI in Enterprise Environments”

Speaker: Sean Martin, CTO & Co–Founder of Cambridge Semantics Sean's experience covers multiple aspects of starting and growing a software company, including holding various titles from President through to co-lead dish washer. He continues in a leadership role as CTO and serves on the board.

Abstract: Join us for an insightful exploration of how Knowledge Graphs are revolutionizing the way enterprises harness the capabilities of Generative AI.

Webinar Highlights: - Understand the rapid rise and significance of Generative AI in the data sphere. - Discover the challenges and risks associated with implementing Generative AI in enterprise settings. - Learn how Knowledge Graphs serve as a foundational technology to address these challenges. - Explore how Knowledge Graphs enable accurate responses to natural language queries and ensure data provenance. - Dive into legal considerations\, access controls\, and data privacy in the context of Generative AI. - Get practical insights on implementing Knowledge Graphs for Generative AI with real-world case studies. - Engage in a Q&A session with experts in the field.

Why Attend? In less than a year, Generative AI has transformed from a niche technology to a sought-after capability across industries. However, unlocking its potential in enterprise environments requires addressing critical concerns related to accuracy, privacy, and legality. This webinar will equip you with the knowledge and strategies to make Generative AI a success within your organization.

Who Should Attend: - Data Scientists - AI Enthusiasts - Business Leaders - IT Professionals - Decision-makers

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q021Rn6z0

Topic: “Unlocking the Power of Knowledge Graphs for Generative AI in Enterprise Environments”

Speaker: Sean Martin, CTO & Co–Founder of Cambridge Semantics Sean's experience covers multiple aspects of starting and growing a software company, including holding various titles from President through to co-lead dish washer. He continues in a leadership role as CTO and serves on the board.

Abstract: Join us for an insightful exploration of how Knowledge Graphs are revolutionizing the way enterprises harness the capabilities of Generative AI.

Webinar Highlights: - Understand the rapid rise and significance of Generative AI in the data sphere. - Discover the challenges and risks associated with implementing Generative AI in enterprise settings. - Learn how Knowledge Graphs serve as a foundational technology to address these challenges. - Explore how Knowledge Graphs enable accurate responses to natural language queries and ensure data provenance. - Dive into legal considerations\, access controls\, and data privacy in the context of Generative AI. - Get practical insights on implementing Knowledge Graphs for Generative AI with real-world case studies. - Engage in a Q&A session with experts in the field.

Why Attend? In less than a year, Generative AI has transformed from a niche technology to a sought-after capability across industries. However, unlocking its potential in enterprise environments requires addressing critical concerns related to accuracy, privacy, and legality. This webinar will equip you with the knowledge and strategies to make Generative AI a success within your organization.

Who Should Attend: - Data Scientists - AI Enthusiasts - Business Leaders - IT Professionals - Decision-makers

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/