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Accelerating Decision-Making in Finance – AI Graphs in Action
2025-11-20 · 16:00
According to a newly released McKinsey report, inaccuracy has emerged as the number one AI-related risk organizations face today. Leaders across industries are asking the same question: How do we minimize this risk while still capturing the full value of AI solutions? In our upcoming live webinar on November 20, Peio Popov will draw on his extensive experience working with financial organizations to demonstrate how #semantic #knowledgegraphs & #AI create measurable business impact. The session will explore several real-world case studies, including: ⊹ Operational Resiliency (DORA) Compliance – Automating fulfillment of complex regulatory requirements (digital twin - BIAN graph slides) ⊹ Credit Risk Assessment – Improving accuracy & efficiency in risk evaluation ⊹ Compliance Issue Resolution – Detecting risks and automating resolution workflows (HCBC) ⊹ Regulatory Reporting – Generating consistent, auditable reports via an enterprise #semanticlayer Register for the live session or secure on-demand recording access: 👉 https://hubs.la/Q03SBRTm0 |
Accelerating Decision-Making in Finance – AI Graphs in Action
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#330 Harnessing AI to Help Humanity with Professor Sandy Pentland, HAI Fellow at Stanford, Co-founder of MIT Media Lab
2025-11-10 · 10:00
Richie
– host
@ DataCamp
,
Alex “Sandy” Pentland
– Professor
@ MIT Media Lab
Data storytelling isn't just about presenting numbers—it's about creating shared wisdom that drives better decision-making. In our increasingly polarized world, we often miss that most people actually have reasonable views hidden behind the loudest voices. But how can technology help us cut through the noise and build genuine understanding? What if AI could help us share stories across different communities and contexts, making our collective knowledge more accessible? From reducing unnecessary meetings to enabling more effective collaboration, the way we exchange information is evolving rapidly. Are you prepared for a future where AI helps us communicate more effectively rather than replacing human judgment? Professor Alex “Sandy” Pentland is a leading computational scientist, co-founder of the MIT Media Lab and Media Lab Asia, and a HAI Fellow at Stanford. Recognized by Forbes as one of the world’s most powerful data scientists, he played a key role in shaping the GDPR through the World Economic Forum and contributed to the UN’s Sustainable Development Goals as one of the Secretary General’s “Data Revolutionaries.” His accolades include MIT’s Toshiba Chair, election to the U.S. National Academy of Engineering, the Harvard Business Review McKinsey Award, and the DARPA 40th Anniversary of the Internet Award. Pentland has served on advisory boards for organizations such as the UN Secretary General, UN Foundation, Consumers Union, and formerly for the OECD, Google, AT&T, and Nissan. Companies originating from his lab have driven major innovations, including India’s Aadhaar digital identity system, Alibaba’s news and advertising arm, and the world’s largest rural health service network. His more recent ventures span mental health (Ginger.io), AI interaction management (Cogito), delivery optimization (Wise Systems), financial privacy (Akoya), and fairness in social services (Prosperia). A mentor to over 80 PhD students—many now leading in academia, research, or entrepreneurship—Pentland helped pioneer fields such as computational social science, wearable computing, and modern biometrics. His books include Social Physics, Honest Signals, Building the New Economy, and Trusted Data. In the episode, Richie and Sandy explore the role of storytelling in data and AI, how technology reshapes our narratives, the impact of AI on decision-making, the importance of shared wisdom in communities, and much more. Links Mentioned in the Show: MIT Media LabSandy’s Booksdeliberation.ioConnect with SandySkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: The Human Element of AI-Driven Transformation with Steve Lucas, CEO at BoomiRewatch RADAR AI New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business |
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#325 Using Data to Master the Cycles of Leadership with Carolyn Dewar, Global Practice Leader at McKinsey
2025-10-06 · 10:05
Carolyn Dewar
– Global Practice Leader, CEO Practice
@ McKinsey & Company
Leadership in data-driven organizations requires a delicate balance of technical expertise and human understanding. As businesses navigate unprecedented uncertainty in global markets, geopolitics, and technological change, the role of data as a source of truth becomes increasingly vital. But how do you create a culture where data informs decisions at every level? What separates leaders who merely collect data from those who leverage it to drive bold, transformative action? For data professionals looking to advance their careers, the challenge extends beyond technical skills to understanding how data connects to broader business strategy and organizational purpose. Carolyn Dewar is the founder and global co-leader of McKinsey & Company’s CEO Practice, where she partners with CEOs, founders, boards, and senior executives to help them maximize their effectiveness and lead their organizations through critical moments, including hypergrowth, transformation, crises, and mergers. Drawing on her extensive research and experience, Carolyn works with leaders across all stages of the CEO journey to drive large-scale organizational change, set bold strategies, and shape company culture to align leadership teams, manage external stakeholders, and optimize executive time and operating models. She helps CEOs develop the mindsets and frameworks needed to succeed in their role, ensuring they deliver lasting impact and sustainable growth. A recognized thought leader, Carolyn is the co-author of CEO Excellence: The Six Mindsets That Distinguish the Best Leaders from the Rest (a New York Times bestseller) and A CEO for All Seasons: Mastering the Cycles of Leadership. She publishes the monthly Strategic CEO newsletter and has contributed over 30 articles to Harvard Business Review, The Conference Board, and McKinsey Quarterly. Carolyn is also a member of the McKinsey Global Institute Council, which advises on MGI’s research on global economic, business, and technology trends. With over 25 years of experience advising clients across industries, including financial services, technology, and consumer sectors, Carolyn is also a sought-after keynote speaker and panelist at global conferences. In the episode, Richie and Carolyn explore common mistakes for CEOs, the unique responsibilities of a CEO, the importance of data-driven decision-making, fostering a data-centric culture, aligning data and business strategies, and much more. Links Mentioned in the Show: CEO Excellence: The Six Mindsets That Distinguish the Best Leaders from the RestConnect with CarolynSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: From Panic to Profit, Via Data with Bill Canady, CEO at Arrowhead Engineered ProductsRewatch RADAR AI New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills witha... |
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Meetup #9 - The Future Of AI Is Not A Chatbot!
2025-09-18 · 17:00
AI for the rest of us is on a mission to make AI easier to understand. AI is ready for everyone. No matter who you are. No matter what your role. We promise no hype, no jargon and no confusing terminology. We're a warm and inclusive community where we meet you where you are, and help get you where you want to be! Join us for our next in-person meetup in London on Thursday September 18th At this event we are thrilled to welcome author Anne Currie. Both Anne's sci-fi writing (The Panopticon Series) and practical Building Green Software provide us with thought provoking insights into the future with AI. This is sure to be an inspiring event! Thomas Essl (Founder, Mustard Navy) will be bringing us back to today! Thomas designs user experiences with AI that go beyond a chat window and will share his learning with us! This is sure to be a fascinating session for both the builders and the users!! Where and When?
The Talk: AI Beyond the Chatbot (Thomas Essl, Founder at Mustard Navy) AI chatbots that we interact with through simple ‘prompting’ have taken us far — but they’re now holding us back. To unlock the full potential of this wave of AI, our ways of interacting with it need to evolve. In this talk, aimed at both AI users and builders, Thomas explores why the design of AI experiences matters, how they must change, and what we should really be using AI for in the first place. Mustard Navy is the UK’s first design agency dedicated to AI products, helping innovators turn their vision and technology into AI products customers embrace and remember. Before founding Mustard Navy, Thomas led design teams and shaped award-winning products at QuantumBlack (McKinsey), Google, and agencies including Foolproof and Publicis Poke. His writing on user-centered product development, data, and AI has reached over a million readers. The Discussion: Reflections on a Future With AI with Anne Currie Join us for a fireside discussion with author Anne Currie. Think of it like a podcast that happens in the room with you! Anne will be sharing insights from her sci-fi writing (The Panopticon Series) and the practical Building Green Software. We'll have lots of opportunity for audience Q&A and a book signing! We have an awesome new venue at Tessl with more space for our growing community! Huge thanks to Tessl for your support and partnership! Learn more about Tessl here: https://tessl.io/ Code of Conduct This event has a code of conduct that you can review here. Providing Your Name and Email To register for this event you'll be asked to provide your full name and email address. This is a requirement for building security so please provide your real name and email address. After the event you will be automatically subscribed to event updates from AI for the rest of us and AI Native Dev. You can unsubscribe at any time. |
Meetup #9 - The Future Of AI Is Not A Chatbot!
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Industry Roundup #5: AI Agents Hype vs. Reality, Meta’s $15B Stake in Scale AI, and the First Fully AI-Generated NBA Ad
2025-07-03 · 10:00
Martijn
– COO
@ DataCamp
Welcome to DataFramed Industry Roundups! In this series of episodes, we sit down to discuss the latest and greatest in data & AI. In this episode, with special guest, DataCamp COO Martijn, we touch upon the hype and reality of AI agents in business, the McKinsey vs. Ethan Mollick debate on simple vs. complex agents, Meta's $15B stake in Scale AI and what it means for data and talent, Apple’s rumored $20B bid for Perplexity amid AI struggles, EU’s push to treat AI skills like reading and math, the first fully AI-generated NBA ad and what it means for creative industries, a new benchmark for deep research tools, and much more. Links Mentioned in the Show: Meta bought Scale AIApple rumoured to buy trying to acquire Perplexity for $20BnMcKinsey's Seizing the Agentic AI Advantage reportThe first fully AI-generated NBA AdEU Generative AI Outlook reportMary Meeker's Trend in AI reportDeep research benchmarkRewatch RADAR AI New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business |
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Future Form; Data, AI & Design
2025-05-07 · 17:00
The Future Form meet-up series aims to build a community in London which facilitates the exchange of ideas and knowledge of the state of the art in the areas of Artificial Intelligence, Data Engineering, and Design, and the interplay of each. We'll bring together a community of builders from both industry and government to talk about their approaches to the emerging areas of Data, AI & Design. This will be more than a technical conversation, that will also touch on human and commercial factors that influence the work. Agenda
Talk 1 - Nico AlbaneseNico maintains the AI SDK for Vercel. In this talk, he’ll dive into how to build with the SDK, sharing insights and exploring real-world use cases they’re encountering at Vercel. Talk 2 - Tey BannermanTey is a startup founder and the first designer to become a partner at McKinsey & Company. In his talk, he’ll share his experiences conducting user research and creating consumer-facing GenAI apps in both traditional food retail e-commerce and pure e-commerce environments, highlighting key learnings and considerations from his work. |
Future Form; Data, AI & Design
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#299 From Panic to Profit, Via Data with Bill Canady, CEO at Arrowhead Engineered Products
2025-04-28 · 10:00
Richie
– host
@ DataCamp
,
Bill Canady
– CEO
@ Arrowhead Engineered Products
Data-driven turnarounds are transforming how struggling businesses find their path back to profitability. When companies falter, the key to recovery can often lies in understanding which 20% of customers and products generate 80% of profits. But how do you quickly identify these critical assets when time is running out? What metrics should you prioritize when cash flow is tight? For data professionals, the challenge extends beyond analysis to implementation—balancing the need for automation of routine tasks while reskilling employees for higher-value work. The intersection of empathy and analytics becomes crucial as teams navigate the emotional journey of organizational change while making tough decisions based on hard numbers. Bill Canady is CEO at Arrowhead Engineered Products and a global business executive with over 30 years of experience across a range of industries. Bill is known for aligning with stakeholders to establish clear, growth-oriented strategies, as well as leading global public, private, and private equity-owned companies by building strong leadership teams and fostering deep relationships. As the former CEO of OTC Industrial Technologies, he oversaw $1 billion in annual sales. Under his leadership, OTC achieved over 43% revenue growth and a 78% increase in earnings. Throughout his career, Bill has guided organizations through complex challenges in regulatory, investor, and media landscapes. Drawing on his extensive experience, he developed the Profitable Growth Operating System (PGOS) to help business leaders worldwide drive sustainable, profitable growth. In the episode, Richie and Bill explore the journey from panic to profit in failing companies, the 100-day turnaround process, leveraging data for decision-making, the Pareto principle in business, automation's role in efficiency, and the importance of empathy and continuous learning in leadership, and much more. Links Mentioned in the Show: Bill’s new book: From Panic to ProfitThe 80/20 CEO by Bill CanadyConnect with BillBill’s websiteSkill Track: AI LeadershipRelated Episode: Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & CompanySign up to attend RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business |
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#279 Customer Strategy in the Age of AI with David Edelman, Harvard Business School Fellow, Executive Advisor with BCG
2025-01-30 · 10:00
Richie
– host
@ DataCamp
,
David Edelman
– Harvard Business School Fellow, Executive Advisor
@ Harvard Business School; BCG
Personalization is more than a buzzword—it's a powerful tool for businesses to connect with customers on a deeper level. As data and AI technologies evolve, the ability to deliver personalized experiences becomes more accessible. But what does this mean for professionals tasked with implementing these strategies? How do you ensure that personalization efforts are both effective and respectful of customer privacy? David Edelman is a Digital and Marketing Transformation Executive Advisor, working with executives on digital and marketing transformation. He has been working in marketing and personalization since the '80s. In addition to his consultancy business, David is an Executive Teaching Fellow at Harvard Business School and a board member for several organizations. Previously, David was Chief Marketing Officer at Aetna, and a Partner at McKinsey. Forbes has repeatedly named him one of the Top 20 Most Influential Voices in Marketing, and Ad Age has named him a Top 20 Chief Marketing and Technology Officer. He is a co-author of "Personalized: Customer Strategy in the Age of AI". In this episode, Richie and David explore the power of personalization in customer experiences, the importance of understanding customer data, strategies for effective personalization, the role of AI in enhancing customer interactions, and much more. Links Mentioned in the Show: Personalized: Customer Strategy in the Age of AIConnect with DavidSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYURewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business |
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#277 How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Upwork Research Institute
2025-01-23 · 10:00
Kelly Monahan
– Managing Director
@ Upwork Research Institute
,
Christie Smith
– Dr.
@ The Humanity Studio
Leadership is facing unprecedented challenges in today's socio-political and economic climate. As the lines between work and personal life blur, professionals are seeking workplaces that prioritize humanity and purpose. How can leaders create environments that support employee well-being and connection? With AI's growing presence, how do we balance technological integration with maintaining a human-centered approach? Dr. Christie Smith is a renowned leadership expert, visionary thinker, and founder of The Humanity Studio, a pioneering research and advisory institute dedicated to improving the way we live by revolutionizing the way we work. With over 35 years of experience advising Fortune 500 companies and holding global leadership roles at Accenture, Apple, and Deloitte, Dr. Smith has shaped the future of leadership, talent strategy, and organizational culture across industries. Dr. Kelly Monahan is Managing Director of the Upwork Research Institute, leading their future of work research program. Her research has been recognized and published in both applied and academic journals, including MIT Sloan Management Review and the Journal of Strategic Management. In 2018, Kelly released her first book, “How Behavioral Economics Influences Management Decision-Making: A New Paradigm” (Academic Press/Elsevier Publishers). In 2019, Kelly gave her first TedX talk on the future of work. Kelly is frequently quoted in the media on talent decision-making and the future of work. She also has written over a dozen publications and is a sought-after speaker on how to apply new management and talent models in knowledge-based organizations. Kelly holds a B.S. from Rochester Institute of Technology, an M.S. from Roberts Wesleyan College, and a Ph.D. in Organizational Leadership from Regent University. In the episode, Richie, Christie, and Kelly explore leadership transformations driven by crises, the rise of human-centered workplaces, the integration of AI with human intelligence, the evolving skill landscape, the emergence of gray-collar work, and much more. Links Mentioned in the Show: Essential: How Distributed Teams, Generative AI, and Global Shifts Are Creating a New Human-Powered LeadershipThe Humanity StudioUpwork Research InstituteConnect with Christie and KellySkill Track: AI Business FundamentalsRelated Episode: Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & CompanyRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business |
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#270 Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & Company
2024-12-16 · 10:00
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. The modern leader faces unprecedented challenges, from managing a multi-generational workforce to integrating AI into daily operations. How can leaders cultivate a human-centric approach that fosters trust and innovation? What role does vulnerability play in effective leadership, and how can it coexist with the need for bold decision-making? As professionals strive to lead with authenticity, what strategies can help leaders raise the tide for all boats? Dana Maor is the global co-head for the McKinsey People & Organizational Performance Practice and is a member of its Knowledge Council. As a senior partner, she works with leaders globally to transform their organizations and themselves and serves as co-dean of multiple McKinsey leadership programs. In the episode, Adel and Dana explore the complexities of modern leadership, the importance of human-centric leadership, balancing empathy with performance, navigating imposter syndrome, and the evolving role of leaders in the age of AI. Links Mentioned in the Show: The Journey to Leadership by Dana MaorMcKinsey & Company - Organizational Health IndexSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: How Data can Enable Effective Leadership with Dr. Constance Dierickx, The Decision DoctorRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business |
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Driving value from GenAI: A McKinsey and ING perspective
2024-04-10 · 21:00
Rodney Zemmel
– Senior Partner, Global Leader
@ McKinsey Digital
,
Peter Jacobs
– CEO of ING Bank Netherlands
@ ING Bank
Our research estimates that gen AI could add over $4 trillion of value annually — join McKinsey to hear the latest research on where the highest value use cases and opportunities for gen AI are across your organization. Hear how McKinsey and ING collaborated to build a GenAI-enabled customer service agent, and see examples of how industry-leading companies are productionalizing use cases to increase revenues and reduce costs today. |
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Douglas Merrill
– Partner
@ McKinsey & Company
,
Cenk Tunasar
– Partner and Data Scientist
@ McKinsey & Company
,
Bryan Richardson
– Partner
@ McKinsey & Company
Are you curious about how generative AI enables leading retailers to go paperless and save millions? Do you want to know how gen AI propelled Formula E to break a world record? Join McKinsey's data scientists and QuantumBlack AI leaders to discover how organizations across industries are leveraging gen AI to capture value. Get insights and practical tips on how companies are putting gen AI-enabled solutions into production today. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only. |
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Driving value from GenAI: A McKinsey and ING perspective
2024-04-10 · 15:00
Rodney Zemmel
– Senior Partner, Global Leader
@ McKinsey Digital
,
Peter Jacobs
– CEO of ING Bank Netherlands
@ ING Bank
Our research estimates that gen AI could add over $4 trillion of value annually — join McKinsey to hear the latest research on where the highest value use cases and opportunities for gen AI are across your organization. Hear how McKinsey and ING collaborated to build a GenAI-enabled customer service agent, and see examples of how industry-leading companies are productionalizing use cases to increase revenues and reduce costs today. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only. Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25. |
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Accelerate app modernization with generative AI: A McKinsey perspective
2024-04-09 · 18:00
Leandro Santos
– Senior Partner & Leader
@ McKinsey & Company
,
Aaron Bawcom
– Partner & Distinguished Architect
@ McKinsey & Co.
Creating a business case to modernize applications has historically been a challenge. However, legacy systems need to be modernized to capture the full benefits of the cloud. McKinsey's LegacyX approach focuses on using generative AI to modernize applications faster and more efficiently. Learn how McKinsey is using genAI to streamline app modernization by automating discovery and documentation of functionality, creating target-state code, and performing unit and functional testing. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only. |
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PyData NYC 2024 Kick-Off 🎉
2024-02-08 · 23:30
Join PyData NYC at 1177 Avenue of Americas (IBM) on Feb 8th 6:30 PM for our 2024 kick-off event with James Powell, Chairman of the NumFOCUS Board of Directors. 🍕 Pizza and drinks sponsored by NumFocus! Agenda: Welcome and Introduction to PyData NYC & NumFocus: 15 mins Speaker: James Powell Overview of the PyData NYC & NumFocus, its mission, and the vibrant ecosystem it fosters. Learn how NumFocus supports and promotes open-source scientific software and the role they play in the data science community. Women in Data Science (WiDS): 15 mins Speaker: Susan Malaika, IBM Generative AI Applied: 15 mins Speaker: Abhishek Upadhyay, Mckinsey & Co. Networking: 30 mins Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- RSVP is required, please note that walk-ins will not be accepted. Note: Per building policy, RSVPs will close at 12 pm on Feb Doors @ 6 pm Event @ 6:30 - 8:30 pm Venue provided by IBM: 1177 Ave of Americas 6th floor ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-levels event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online are governed by a Code of Conduct. More at https://pydata.org/code-of-conduct/ This event may be recorded. |
PyData NYC 2024 Kick-Off 🎉
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NYC Python @ PyData NYC 2024 Kick-Off 🎉
2024-02-08 · 23:30
NYC Python will be joining PyData NYC at 1177 Avenue of Americas (IBM) on Feb 8th 6:30 PM for our 2024 kick-off event with James Powell, Chairman of the NumFOCUS Board of Directors. ⚠️Please RSVP with PyData NYC here: https://www.meetup.com/pydatanyc/events/298766185/ 🍕 Pizza and drinks sponsored by NumFocus! Agenda: Welcome and Introduction to PyData NYC & NumFocus Speaker: James Powell Overview of the PyData NYC & NumFocus, its mission, and the vibrant ecosystem it fosters. Learn how NumFocus supports and promotes open-source scientific software and the role they play in the data science community. [Pending] Women in Data Science (WiDS) Speaker: Susan Malaika, IBM [Pending] Generative AI Use Cases Speaker: Abhishek Upadhyay, McKinsey Networking Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- RSVP is required, please note that walk-ins will not be accepted. Note: Per building policy, RSVPs will close at 12 pm on Feb 6. Doors @ 6 pm Event @ 6:30 - 8:30 pm Venue provided by IBM: 1177 Ave of Americas 6th floor ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-levels event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online are governed by a Code of Conduct. More at https://pydata.org/code-of-conduct/ This event may be recorded. |
NYC Python @ PyData NYC 2024 Kick-Off 🎉
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Who needs ChatGPT? Crafting with Hugging Face & Kedro, Scaling with Ray
2024-01-24 · 17:30
🎉 Welcome to the Inaugural Event of PyData Milan! 🚀 We're absolutely thrilled to kick off this amazing journey with all of you data enthusiasts and Python lovers! Let's make this first event a memorable start to many more innovative gatherings. 🌟 Agenda:
Venue: Hosted by Plenitude 🏢 📍 Via Ripamonti 85, Milano. 💡 Who needs ChatGPT? Rock solid AI pipelines with Hugging Face and Kedro Juan Luis Cano Rodríguez, Product Manager for Kedro at QuantumBlack, AI by McKinsey Artificial Intelligence is all the rage, largely thanks to generative systems like ChatGPT, Midjourney, and the like. These commercial systems are very sophisticated and powerful, but also a bit opaque if you want to learn how they work or adapt them to your needs. What happens inside the 'black box'? Luckily there are open AI models that you can download comfortably, study without restrictions, and adjust so that they do what you want. This requires some technical knowledge, but thanks to Hugging Face's models and their ecosystem of Python libraries, delving into AI is easier than ever. You will soon find yourself combining different models, performing different tasks, and creating complex systems. But this complexity can grow very quickly, and soon you'll find yourself with spaghetti code if you are not careful. By using the Kedro catalog and Kedro pipelines, you will be able to organize the code in no time. In this talk you will learn how you can create complex AI pipelines using Hugging Face transformers, structure them into Kedro projects that cleanly separate code from configuration and data, and deploy them to production so they start delivering value. Juan Luis (he/him/él) works as Product Manager at QuantumBlack, AI by McKinsey, with a focus on Kedro, an open source data science framework. He has a decade of experience as developer advocate, software engineer, and Python trainer in several industries. PSF Fellow since 2017, he has made significant contributions to the PyData stack, published several open-source packages, and organized the first seven PyCons in Spain. Currently he is the lead organizer of the PyData Madrid monthly meetups. 🌐 Unlocking scalable ML with Ray on Vertex AI Ivan Nardini, Google Cloud - Customer Engineer - Smart Analytics, AI and ML Ray is an open-source framework for scaling AI and Python applications. This hands-on session will guide Python developers and practitioners through the process of harnessing Ray's distributed computing power to scale ML workloads on Vertex AI. Through a practical example, attendees will gain a comprehensive understanding of Ray's capabilities on Vertex AI. And, by the end of this session, participants will have a solid understanding of how to use Ray on Vertex AI to build scalable and performant ML applications. Ivan Nardini is a customer engineer specialized in Smart Analytics, AI/ML and MLOps at Google Cloud. He is currently collaborating and enabling Data Science developers and practitioners to define and implement AI/ML applications on Vertex AI. His goal is to transform models into assets for companies using Vertex AI. Ivan is passionate about music and he is planning to start drumming again after a long time. 🎉 Can't wait to see you all there! Let's make this first meetup a blast! 💥 📢 Remember to Sign Up! If you can't come, please let us know by canceling your ticket at least one day before the event. This helps us plan better and allows others to attend if they're interested. We look forward to seeing you there! |
Who needs ChatGPT? Crafting with Hugging Face & Kedro, Scaling with Ray
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FastAPI & QuantumBlack, AI by McKinsey
2023-11-23 · 16:30
This month we are happy to have speakers from FastAPI and QuantumBlack, AI by McKinsey! Sebastian will share some tips and tricks for ML and introduce FastAPI and Juan will show how to create complex AI pipelines using Hugging Face transformers while structure them into Kedro projects. Big thank you to Hopsworks for sponsoring snacks & drinks for the event! – Agenda: 17:30 - 18:00: Doors open 18:00 - 18:10: Welcome 18:10 - 18:40: FastAPI Presentation 18:40 - 19:10: Snacks & Drinks 19:10 - 19:40: Who needs ChatGPT? Rock solid AI pipelines with Hugging Face and Kedro 19:40 - 20:30: Networking – Presentations: Intro to FastAPI: Tips and Tricks for ML Sebastián Ramírez - Author of FastAPI, Typer, SQLModel, Asyncer, and more Learn how to create an API ready for production in very little time using FastAPI... explained with memes. And learn the tips and tricks for serving Machine Learning, simple and advanced. Your API will have automatic validation, documentation based on standards, high performance, and several other features. All this, having editor support including autocompletion everywhere. You will learn how to optimize model loading, avoid common mistakes, and make development iterations more efficient. In this talk, you will learn what FastAPI can do, and how it could benefit you, and the tips and tricks to effectively deploy ML models. You will see how to declare the data you want to receive in each request using standard Python type annotations. Including path parameters, query parameters, body payloads with JSON, etc. You will also see how to use simple, standard, Python type annotations to declare complex JSON body payloads with deeply nested structures, and get automatic data validation, serialization, and documentation. You will learn techniques to load ML models, including caching, lazy loading, and more. Speaker Bio: Hey! 👋 I'm Sebastián Ramírez (tiangolo), the creator of FastAPI, Typer, SQLModel, Asyncer, and other open-source tools. I've worked with companies and teams across the world, from Latin America to the Middle East, going through Europe and USA. Always building different types of products and custom solutions involving APIs, data processing, distributed systems, and Machine Learning. 🤓 Who needs ChatGPT? Rock solid AI pipelines with Hugging Face and Kedro Juan Luis Cano Rodríguez - Product Manager at QuantumBlack, AI by McKinsey Artificial Intelligence is all the rage, largely thanks to generative systems like ChatGPT, Midjourney, and the like. These commercial systems are very sophisticated and powerful, but also a bit opaque if you want to learn how they work or adapt them to your needs. What happens inside the 'black box'? Luckily there are open AI models that you can download comfortably, study without restrictions, and adjust so that they do what you want. This requires some technical knowledge, but thanks to Hugging Face's models and their ecosystem of Python libraries, delving into AI is easier than ever. You will soon find yourself combining different models, performing different tasks, and creating complex systems. But this complexity can grow very quickly, and soon you'll find yourself with spaghetti code if you are not careful. By using the Kedro catalog and Kedro pipelines, you will be able to organize the code in no time. In this talk you will learn how you can create complex AI pipelines using Hugging Face transformers, structure them into Kedro projects that cleanly separate code from configuration and data, and deploy them to production so they start delivering value. Speaker Bio: Juan Luis (he/him/él) works as Product Manager at QuantumBlack, AI by McKinsey, with a focus on Kedro, an open source data science framework. He has a decade of experience as developer advocate, software engineer, and Python trainer in several industries. PSF Fellow since 2017, he has made significant contributions to the PyData stack, published several open-source packages, and organized the first seven PyCons in Spain. Currently he is the lead organizer of the PyData Madrid monthly meetups. – About the event Date: November 23rd, 17:30 - 20:30 Location: Microsoft Reactor (Regeringsgatan 59, 111 56 Stockholm) Directions: 2-minute walk from Hötorget. Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge. Capacity: Space is limited to 60 participants. If you are signed up but unable to attend, please let us know by November 22nd. Questions: Please contact the meetup organizers. – Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers. |
FastAPI & QuantumBlack, AI by McKinsey
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How to build game-changing AI industry solutions
2023-11-22 · 16:00
Whilst generative AI models have been developed for a long time, the release of chat GPT 3.5 in November 2022 marked a pivotal moment when the world acknowledged this ground-breaking technology. It has unleashed an accelerated cascade of AI adoption and evolution. ChatGPT reached a million users in just 5 days. Recent research by McKinsey has estimated that generative AI alone could add up to $4.4 trillion annually, more than doubling the current annual GDP of the UK. So in this era of mass adoption, how can startups focus on developing game-changing AI industry solutions? During this session will explore critical considerations, examples of great AI solutions and resources to expand and evolve your strategic AI development plans. |
How to build game-changing AI industry solutions
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How to build game-changing AI industry solutions
2023-11-22 · 16:00
Whilst generative AI models have been developed for a long time, the release of chat GPT 3.5 in November 2022 marked a pivotal moment when the world acknowledged this ground-breaking technology. It has unleashed an accelerated cascade of AI adoption and evolution. ChatGPT reached a million users in just 5 days. Recent research by McKinsey has estimated that generative AI alone could add up to $4.4 trillion annually, more than doubling the current annual GDP of the UK. So in this era of mass adoption, how can startups focus on developing game-changing AI industry solutions? During this session will explore critical considerations, examples of great AI solutions and resources to expand and evolve your strategic AI development plans. |
How to build game-changing AI industry solutions
|