talk-data.com

Serial entrepreneur and leadership coach

Join us for an exclusive DeepTech Afterwork in the heart of Paris, dedicated to the future of Brain–Computer Interfaces (BCI) and human–technology interaction.

Our special guest, Sun Yu, founder & CEO of Flexolink, is a pioneer in non-invasive neurotechnology and one of the Forbes China Top 100 influential innovators. His team’s work in soft neuro-electronic sleep patches and neural signal analysis is redefining the boundaries between neuroscience, AI, and digital health.

This event will bring together entrepreneurs, researchers, and investors passionate about DeepTech, AI, NeuroTech, and Human Augmentation — in an informal yet high-level networking setting.

🗓 Date & Time: Friday, 19:00 – Late 📍 Location: registration closed 🗣 Languages: English & French 🥂 Format: Short talk + open discussion + networking 📞 Contact:** +33 07 80 81 46 79 (by SMS or Whatsapp pls)

Let’s explore how the next generation of brain–machine interfaces can bridge science, entrepreneurship, and human experience.

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Accelerate AI Innovations with Vertex Managed AI Platform Speaker: Yu-Hua Yang (Google) Abstract: The Vertex AI platform, leveraging Google's expertise, offers a unified solution for the entire AI development and deployment lifecycle, an alternative to using raw compute for AI infrastructure. This managed platform supports both predictive and generative AI, helping customers reduce technical debt and operational overhead, speed up time to market, and maximize the value derived from their AI innovations.

More Virtual Sessions: with Google:

• Aug 14th: AI Agent Learning Series with Google (Virtual) - EP 4 *

With Oracle:

• Aug 5th: AI Webinar with Oracle (Ep 1)
• Aug 12th: AI Webinar with Oracle (Ep 2)
• Aug 19th: AI Webinar with Oracle (Ep 3)
• Aug 26th: AI Webinar with Oracle (Ep 5)
• Sep 4th: AI Webinar with Oracle (Ep 5)

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Accelerate AI Innovations with Vertex Managed AI Platform Speaker: Yu-Hua Yang (Google) Abstract: The Vertex AI platform, leveraging Google's expertise, offers a unified solution for the entire AI development and deployment lifecycle, an alternative to using raw compute for AI infrastructure. This managed platform supports both predictive and generative AI, helping customers reduce technical debt and operational overhead, speed up time to market, and maximize the value derived from their AI innovations.

More Virtual Sessions: with Google:

• Aug 14th: AI Agent Learning Series with Google (Virtual) - EP 4 *

With Oracle:

• Aug 5th: AI Webinar with Oracle (Ep 1)
• Aug 12th: AI Webinar with Oracle (Ep 2)
• Aug 19th: AI Webinar with Oracle (Ep 3)
• Aug 26th: AI Webinar with Oracle (Ep 5)
• Sep 4th: AI Webinar with Oracle (Ep 5)

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Accelerate AI Innovations with Vertex Managed AI Platform Speaker: Yu-Hua Yang (Google) Abstract: The Vertex AI platform, leveraging Google's expertise, offers a unified solution for the entire AI development and deployment lifecycle, an alternative to using raw compute for AI infrastructure. This managed platform supports both predictive and generative AI, helping customers reduce technical debt and operational overhead, speed up time to market, and maximize the value derived from their AI innovations.

More Virtual Sessions:

• Aug 19th: AI Webinar with Oracle (Ep 3)
• Aug 26th: AI Webinar with Oracle (Ep 5)
• Sep 4th: AI Webinar with Oracle (Ep 5)

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Accelerate AI Innovations with Vertex Managed AI Platform Speaker: Yu-Hua Yang (Google) Abstract: The Vertex AI platform, leveraging Google's expertise, offers a unified solution for the entire AI development and deployment lifecycle, an alternative to using raw compute for AI infrastructure. This managed platform supports both predictive and generative AI, helping customers reduce technical debt and operational overhead, speed up time to market, and maximize the value derived from their AI innovations.

More Virtual Sessions: with Google:

• Aug 14th: AI Agent Learning Series with Google (Virtual) - EP 4 *

With Oracle:

• Aug 5th: AI Webinar with Oracle (Ep 1)
• Aug 12th: AI Webinar with Oracle (Ep 2)
• Aug 19th: AI Webinar with Oracle (Ep 3)
• Aug 26th: AI Webinar with Oracle (Ep 5)
• Sep 4th: AI Webinar with Oracle (Ep 5)

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Accelerate AI Innovations with Vertex Managed AI Platform Speaker: Yu-Hua Yang (Google) Abstract: The Vertex AI platform, leveraging Google's expertise, offers a unified solution for the entire AI development and deployment lifecycle, an alternative to using raw compute for AI infrastructure. This managed platform supports both predictive and generative AI, helping customers reduce technical debt and operational overhead, speed up time to market, and maximize the value derived from their AI innovations.

More Virtual Sessions:

• Aug 19th: AI Webinar with Oracle (Ep 3)
• Aug 26th: AI Webinar with Oracle (Ep 5)
• Sep 4th: AI Webinar with Oracle (Ep 5)

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Accelerate AI Innovations with Vertex Managed AI Platform Speaker: Yu-Hua Yang (Google) Abstract: The Vertex AI platform, leveraging Google's expertise, offers a unified solution for the entire AI development and deployment lifecycle, an alternative to using raw compute for AI infrastructure. This managed platform supports both predictive and generative AI, helping customers reduce technical debt and operational overhead, speed up time to market, and maximize the value derived from their AI innovations.

More Virtual Sessions:

• Aug 19th: AI Webinar with Oracle (Ep 3)
• Aug 26th: AI Webinar with Oracle (Ep 5)
• Sep 4th: AI Webinar with Oracle (Ep 5)

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Forget the hype of AI automation replacing jobs. The future lies in human augmentation — revealing blind spots, sparking creativity, and amplifying thoughtful decision-making. In this talk, we’ll explore the principles that distinguish augmentation from automation in AI UX design, covering interaction patterns, design principles, and trust-building feedback loops. Drawing from real-world experiences building AI-powered tools and beyond, we’ll dive into concepts for crafting interfaces that empower users to think smarter, not just work faster. Expect practical insights and a fresh perspective on AI’s role as a collaborative partner.

AI Augmentation: https://jytan.net/blog/2025/ai-augmentation/ Tusk: https://www.usetusk.ai/

Talk by Dr. Yu Xie and Dr. Michael Gastegger, Senior Researchers at Microsoft AI4Science. The session covers BioEmu, a generative deep learning system that can generate thousands of statistically independent samples from protein structure ensembles per hour on a single GPU. It discusses training methods, data requirements, and validated results such as relative free energy errors around 1 kcal/mol, and how simultaneous emulation of structural ensembles and thermodynamic properties yields mechanistic insights. Location: H 0110, TU Berlin main building, Straße des 17. Juni 135, 10623 Berlin. Duration approximately 45 minutes.

Hear from industry titans who are leveraging AI to drive unprecedented growth.

THIS IS PAID EVENT. PRE-REGISTRATION IS REQUIRED. RSVP here - https://lu.ma/kbe4hisx Use code CommunityEast2025 for an extra discount.

Together the brightest minds in AI and data science.

More than just a conference, the Generative AI X Summit is a platform for collaboration and knowledge sharing. It’s where you can connect with peers, exchange ideas, and gain a deeper understanding of how generative AI can transform your business and industry.

You will have access to AiX Summit, Keynote talks, Expo Hall and Solution Showcase talks, Networking Receptions, Career Expo and more.

Confirmed speakers: - Matan-Paul Shetrit\, Director of Product at Writer - Yu Yu\, PhD\, Director of Data Science at BlackRock - Chen Wang\, PhD\, Lead Alliance Solution Architect at AI21 Labs - Andriy Mulyar\, Founder & CTO at Nomic AI - Cal Al-Dhubaib\, Head of AI and Data Science at Further and more coming soon.

Confirmed speakers and agenda you may find here soon - https://odsc.com/boston/schedule/

Are you ready to:

• Revolutionize your business with cutting-edge AI solutions?
• Gain a competitive edge by harnessing the power of data?
• Connect with industry leaders and shape the future of your industry?

Then the Generative AI X Summit is for you.

Experience:

• Inspiring keynotes: Hear from industry titans who are leveraging AI to drive unprecedented growth.
• Unparalleled networking: Connect with fellow executives, data scientists, and innovators who are shaping the future of AI.
• A vibrant expo floor: Discover the latest AI tools, platforms, and solutions from leading vendors.

Dive deep into critical topics, including:

• Generative AI: Explore the transformative potential of AI models like ChatGPT and their impact across industries.
• Deep Learning: Unlock the power of neural networks for advanced applications like image recognition and natural language processing.
• Machine Learning: Learn how to build and deploy robust machine learning models to solve real-world business challenges.
• Data Science in Action: Discover how leading companies are using data science to drive innovation, improve customer experiences, and increase efficiency.

Partners of the event:

SAP, Google Cloud, Microsoft Azure, Aria, Gurobi Optimization, Zerve, Codeium, JFrog, lakeFS, Bright Data, Plotly, Datasaur, MIT etc.

Who should attend?

• CxOs and Executives: Gain insights into how AI can drive strategic business decisions and transform your organization.
• Data Scientists and Analysts: Expand your knowledge of the latest AI/ML techniques and best practices.
• Business Leaders: Understand how AI can impact your industry and prepare your company for the future.

Useful 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/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

THIS IS PAID EVENT. PRE-REGISTRATION IS REQUIRED. RSVP here - https://lu.ma/kbe4hisx Use code CommunityEast2025 for an extra discount.

Together the brightest minds in AI and data science.

More than just a conference, the Generative AI X Summit is a platform for collaboration and knowledge sharing. It’s where you can connect with peers, exchange ideas, and gain a deeper understanding of how generative AI can transform your business and industry.

You will have access to AiX Summit, Keynote talks, Expo Hall and Solution Showcase talks, Networking Receptions, Career Expo and more.

Confirmed speakers: - Matan-Paul Shetrit\, Director of Product at Writer - Yu Yu\, PhD\, Director of Data Science at BlackRock - Chen Wang\, PhD\, Lead Alliance Solution Architect at AI21 Labs - Andriy Mulyar\, Founder & CTO at Nomic AI - Cal Al-Dhubaib\, Head of AI and Data Science at Further and more coming soon.

Confirmed speakers and agenda you may find here soon - https://odsc.com/boston/schedule/

Are you ready to:

• Revolutionize your business with cutting-edge AI solutions?
• Gain a competitive edge by harnessing the power of data?
• Connect with industry leaders and shape the future of your industry?

Then the Generative AI X Summit is for you.

Experience:

• Inspiring keynotes: Hear from industry titans who are leveraging AI to drive unprecedented growth.
• Unparalleled networking: Connect with fellow executives, data scientists, and innovators who are shaping the future of AI.
• A vibrant expo floor: Discover the latest AI tools, platforms, and solutions from leading vendors.

Dive deep into critical topics, including:

• Generative AI: Explore the transformative potential of AI models like ChatGPT and their impact across industries.
• Deep Learning: Unlock the power of neural networks for advanced applications like image recognition and natural language processing.
• Machine Learning: Learn how to build and deploy robust machine learning models to solve real-world business challenges.
• Data Science in Action: Discover how leading companies are using data science to drive innovation, improve customer experiences, and increase efficiency.

Partners of the event:

SAP, Google Cloud, Microsoft Azure, Aria, Gurobi Optimization, Zerve, Codeium, JFrog, lakeFS, Bright Data, Plotly, Datasaur, MIT etc.

Who should attend?

• CxOs and Executives: Gain insights into how AI can drive strategic business decisions and transform your organization.
• Data Scientists and Analysts: Expand your knowledge of the latest AI/ML techniques and best practices.
• Business Leaders: Understand how AI can impact your industry and prepare your company for the future.

Useful 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/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

You must also register HERE to gain access to this event Join us for an exciting evening at the Uber Amsterdam office. This event will feature engaging talks from both the PyData community and Uber's data science team. It's an excellent opportunity for data enthusiasts, professionals, and researchers to network, share knowledge, and explore the latest advancements in data science, machine learning, and AI.

Summary of the talks:

Payments Data Science at Uber - Ed Lo, Claire Hempel and Okke van der Wal Join us for an inside look into the world of payments at Uber led by the local leaders of our data science and machine learning teams. In this session, you'll learn how these teams transform vast amounts of information to generate insights, launch experiments and build models that support Uber's global operations.

Exploring ESG performance in job ads through AI and Data Science - Yu Jiang and Reiner Kruisbrink Exploring ESG performance in job ads through AI and Data Science Since 2020, we at Sia Partners have been pioneering the use of NLP to detect gender biases in Dutch job ads. Our project has evolved to include green job analysis and extend our scope to additional job boards internationally, utilizing nowadays also LLM and GenAI. In this talk, we will share the insights from our journey and the key findings from our latest whitepaper.

Polar Expedition: Speed and Developer Experience Insights of transitioning ML pipelines to Polars - Oliver Ford and Rik van der Vlist We’ll show you how we reimplemented part of our use case from PySpark/Pandas to Polars and share our thoughts on the developer experience of these frameworks. We discuss the practicalities of converting existing code and pipelines, demonstrating how Polars can help shorten feedback cycles and enhance developer experience in machine learning and ETL workflows. Attendees will gain insights into setting up a productive data science environment and best practices for developers working with Polars.

Agenda:

5:30PM - Doors Open 6:00PM - Intro to Uber Tech Amsterdam and PyData 6:05PM - Payments Data Science at Uber 6:25PM - Exploring ESG performance in job ads through AI and Data Science 6:45PM - Polar Expedition: Speed and Developer Experience Insights of transitioning ML pipelines to Polars 7:10PM - Q&A 7:20PM - Networking including snacks and drinks 8:00PM - Doors Close There is limited seating so please only attend if you have RSVP'ed via this link.

Every year Hyperledger runs a paid Mentorship Program to create a structured hands-on learning opportunity for new contributors. Each mentee who applies and is accepted into the program will be matched with a mentor or mentors who are active contributors in the Hyperledger community. Each mentee will work remotely from their location of choice.

This meetup will provide more details about the program, share details about this year's projects and explain how to apply. We'll also hear from previous Mentees about their experience and also hear from Mentors to learn more about what they're looking for in people who apply to the program.

Note that applications for mentees opens on April 2 and closes on May 10, 2024.

More about the Mentorship Program is at: https://wiki.hyperledger.org/display/INTERN/Mentorship+Projects

Agenda

• Opening and introductions (John Carpenter)
• Mentorship program overview (Min Yu)
• Mentor Panel (Arun S.M., Stephen Curran, Sara Rouhani)
• Mentee Panel (Aritra Bhaduri, Koosha Khorasani, Akanksha Rani, Naian G)
• Other ways to get involved beyond the mentorship program (David Boswell)
• Q&As

Every year Hyperledger runs a paid Mentorship Program to create a structured hands-on learning opportunity for new contributors. Each mentee who applies and is accepted into the program will be matched with a mentor or mentors who are active contributors in the Hyperledger community. Each mentee will work remotely from their location of choice.

This meetup will provide more details about the program, share details about this year's projects and explain how to apply. We'll also hear from previous Mentees about their experience and also hear from Mentors to learn more about what they're looking for in people who apply to the program.

Note that applications for mentees opens on April 2 and closes on May 10, 2024.

More about the Mentorship Program is at: https://wiki.hyperledger.org/display/INTERN/Mentorship+Projects

Agenda

• Opening and introductions (John Carpenter)
• Mentorship program overview (Min Yu)
• Mentor Panel (Arun S.M., Stephen Curran, Sara Rouhani)
• Mentee Panel (Aritra Bhaduri, Koosha Khorasani, Akanksha Rani, Naian G)
• Other ways to get involved beyond the mentorship program (David Boswell)
• Q&As

Join us to learn how to run open-source Large Language Models (LLMs) with HTTP-based inference endpoints inside your AKS cluster using the Kubernetes AI Toolchain Operator (KAITO). We’ll walk through the setup and deployment of containerized LLMs on GPU node pools and see how KAITO can help reduce operational burden of provisioning GPU nodes and tuning model deployment parameters to fit GPU profiles.

Presenters:

Paul Yu \| Senior Cloud Advocate\, Microsoft \| LinkedIn Ishaan Sehgal \| Software Engineer\, Microsoft \| LinkedIn

Learning objectives

• Learn how to use Prometheus-style metrics with Azure Monitor.
• Learn how to visualize application and infrastructure state with Azure Managed Grafana.
• Learn how to use the AKS Cost Analysis add-on to monitor the different aspects of your AKS environment.

📌All About This Series

📌More About Learn Live

Practical methods for analyzing your data with graphs, revealing hidden connections and new insights. Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. About the Technology A graph, put simply, is a network of connected data. Graphs are an efficient way to identify and explore the significant relationships naturally occurring within a dataset. This book presents the most important algorithms for graph data science with examples from machine learning, business applications, natural language processing, and more. About the Book Graph Algorithms for Data Science shows you how to construct and analyze graphs from structured and unstructured data. In it, you’ll learn to apply graph algorithms like PageRank, community detection/clustering, and knowledge graph models by putting each new algorithm to work in a hands-on data project. This cutting-edge book also demonstrates how you can create graphs that optimize input for AI models using node embedding. What's Inside Creating knowledge graphs Node classification and link prediction workflows NLP techniques for graph construction About the Reader For data scientists who know machine learning basics. Examples use the Cypher query language, which is explained in the book. About the Author Tomaž Bratanič works at the intersection of graphs and machine learning. Arturo Geigel was the technical editor for this book. Quotes Undoubtedly the quickest route to grasping the practical applications of graph algorithms. Enjoyable and informative, with real-world business context and practical problem-solving. - Roger Yu, Feedzai Brilliantly eases you into graph-based applications. - Sumit Pal, Independent Consultant I highly recommend this book to anyone involved in analyzing large network databases. - Ivan Herreros, talentsconnect Insightful and comprehensive. The author’s expertise is evident. Be prepared for a rewarding journey. - Michal Štefaňák, Volke

This week Peter will present ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation by Sungduk Yu · Walter Hannah · Liran Peng · Jerry Lin · Mohamed Aziz Bhouri · Ritwik Gupta · Björn Lütjens · Justus C. Will · Gunnar Behrens · Julius Busecke · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah L. Ferretti · Nana Liu · Animashree Anandkumar · Noah Brenowitz · Veronika Eyring · Nicholas Geneva · Pierre Gentine · Stephan Mandt · Jaideep Pathak · Akshay Subramaniam · Carl Vondrick · Rose Yu · Laure Zanna · Tian Zheng · Ryan Abernathey · Fiaz Ahmed · David Bader · Pierre Baldi · Elizabeth Barnes · Christopher Bretherton · Peter Caldwell · Wayne Chuang · Yilun Han · YU HUANG · Fernando Iglesias-Suarez · Sanket Jantre · Karthik Kashinath · Marat Khairoutdinov · Thorsten Kurth · Nicholas Lutsko · Po-Lun Ma · Griffin Mooers · J. David Neelin · David Randall · Sara Shamekh · Mark Taylor · Nathan Urban · Janni Yuval · Guang Zhang · Mike Pritchard.

We look forward to seeing you there!

Want to know more Paper Club?

• We discuss a different research paper every week. We post each week's paper in our GitHub repo - please read it before the meetup.
• All events will be hosted on a Google Meets video call. Once a month we also host an in-person event in our London office - watch this space for updates.
• All recorded presentations can be found in our YouTube channel (don't forget to subscribe!).

Regardless of profession, the work we do leaves behind a trace of actions that help us achieve our goals. This is especially true for those that work with data. For large enterprises where there are seemingly countless processes happening at any one time, keeping track of these processes is crucial. Given the scale of these processes, one small efficiency gain can leads to a staggering amount of time and money saved. Process mining is a data-driven approach to process analysis that uses event logs to extract process-related information. It can separate inferred facts, from exact truths, and uncover what really happens in a variety of operations.  Wil van der Aalst is a full professor at RWTH Aachen University, leading the Process and Data Science (PADS) group. He is also the Chief Scientist at Celonis, part-time affiliated with the Fraunhofer FIT, and a member of the Board of Governors of Tilburg University.  His research interests include process mining, Petri nets, business process management, workflow management, process modeling, and process analysis. Wil van der Aalst has published over 275 journal papers, 35 books (as author or editor), 630 refereed conference/workshop publications, and 85 book chapters. Cong Yu leads the CeloAI group at Celonis focusing on bringing advanced AI technologies to EMS products, building up capabilities for their knowledge platform, and ultimately helping enterprises in reducing process inefficiencies and achieving operational excellence. Previously, Cong was Principal (Research) Scientist / Research Director at Google Research NYC from September 2010 to July 2022, leading the NYSD/Beacon Research Group, and also taught at NYU Courant Institute of Mathematical Sciences.  In the episode, Wil, Cong, and Richie explore process mining and its development over the past 25 years, the differences between process mining and ML, AI, and data mining, popular use cases of process mining, adoption from large enterprises like BMW, HP, and Dell, the requirements for an effective process mining system, the role of predictive analytics and data engineering in process mining, how to scale process mining systems, prospects within the field and much more. Links Mentioned in the Show: CelonisGartner’s Magic Quadrant for Process MiningPM4PyProcess Query Language (PQL)[Couse] Business Process Analytics in R