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Generative AI has transformed the financial services sector, sparking interest at all organizational levels. As AI becomes more accessible, professionals are exploring its potential to enhance their work. How can AI tools improve personalization and fraud detection? What efficiencies can be gained in product development and internal processes? These are the questions driving the adoption of AI as companies strive to innovate responsibly while maximizing value. Andrew serves as the Chief Data Officer for Mastercard, leading the organization’s data strategy and innovation efforts while navigating current and future data risks. Andrews's prior roles at Mastercard include Senior Vice President, Data Management, in which he was responsible for the quality, collection, and use of data for Mastercard’s information services and advisory business, and Mastercard’s Deputy Chief Privacy Officer, in which he was responsible for privacy and data protection issues globally for Mastercard. Andrew also spent many years as a Privacy & Intellectual Property Council advising direct marketing services, interactive advertising, and industrial chemicals industries. Andrew holds Juris Doctor from Columbia University School of Law and has his bachelor’s degree, cum laude, in Chemical Engineering from the University of Delaware. Andrew is a retired member of the State Bar of New York. In the episode, Adel and Andrew explore GenAI's transformative impact on financial services, the democratization of AI tools, efficiency gains in product development, the importance of AI governance and data quality, the cultural shifts and regulatory landscapes shaping AI's future, and much more. Links Mentioned in the Show: MastercardConnect with AndrewSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Research InstituteSign 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

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data visualization toolkit. Take the fast track to amazing data presentations! Data Storytelling with Altair and AI introduces a stack of useful tools and tried-and-tested methodologies that will rapidly increase your productivity, streamline the visualization process, and leave your audience inspired. In Data Storytelling with Altair and AI you’ll discover: Using Python Altair for data visualization Using Generative AI tools for data storytelling The main concepts of data storytelling Building data stories with the DIKW pyramid approach Transforming raw data into a data story Data Storytelling with Altair and AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you’ll love how quick Generative AI makes the whole process! About the Technology Every dataset tells a story. After you’ve cleaned, crunched, and organized the raw data, it’s your job to share its story in a way that connects with your audience. Python’s Altair data visualization library, combined with generative AI tools like Copilot and ChatGPT, provide an amazing toolbox for transforming numbers, code, text, and graphics into intuitive data presentations. About the Book Data Storytelling with Altair and AI teaches you how to build enhanced data visualizations using these tools. The book uses hands-on examples to build powerful narratives that can inform, inspire, and motivate. It covers the Altair data visualization library, along with AI techniques like generating text with ChatGPT, creating images with DALL-E, and Python coding with Copilot. You’ll learn by practicing with each interesting data story, from tourist arrivals in Portugal to population growth in the USA to fake news, salmon aquaculture, and more. What's Inside The Data-Information-Knowledge-Wisdom (DIKW) pyramid Publish data stories using Streamlit, Tableau, and Comet Vega and Vega-Lite visualization grammar About the Reader For data analysts and data scientists experienced with Python. No previous knowledge of Altair or Generative AI required. About the Author Angelica Lo Duca is a researcher at the Institute of Informatics and Telematics of the National Research Council, Italy. The technical editor on this book was Ninoslav Cerkez. Quotes This book’s step-by-step approach, illustrated through real-world examples, makes complex data accessible and actionable. - Alexey Grigorev, DataTalks.Club A clear and concise guide to data storytelling. Highly recommended. - Andrew Madson, Insights x Design Data storytelling in a way that anyone can do! This book feels ahead of its time. - Avery Smith, Data Career Jumpstart Excellent hands-on exercises that combine two of my favorite tools: AI and the Altair library. - Jose Berengueres, Author of DataViz and Storytelling

Come and join our next Mainframerz event on the theme of Containers on Z.

The agenda will be something like this:

• Welcome & icebreaker - Mat Comer/ Stuart Ashby
• Presentation 1: Containers & K8s: My Not-So-Secret Weapon for Winning Hackathons - Mey Beisaron (Forter)
• Presentation 2: A containerised Python example on ZCX - Sujit Neb (BMC) Presentation 3: What is z/OS Container Platform (a brand new offering on Z) - Dipesh Rawat (IBM)
• Presentation 4: Containerised z/OS Connect - Andrew Smithson (IBM)
• Q&A
• Wrap-up

The event will be fun, informal and engaging, hopefully with some live demos too. Everyone is welcome whether you are new to Z, new to containers or keen to hear more.

You can catch up on previous events by visiting our YouYube page: https://www.youtube.com/@mainframerzmeetup4293

For this event we will be using Microsoft Teams. To register, follow the link which requires a full name and email address. Then you will receive a confirmation email with a url to join the actual event. (Some work VPNs may restrict your browser access to Microsoft Teams. If that is the case you may need to join from a personal device)

www.ibm.biz/mainframerz

or full link: https://events.teams.microsoft.com/event/3ed859e9-acdb-4523-91bc-c9e98f7b024c@fcf67057-50c9-4ad4-98f3-ffca64add9e9

You can also find details of links to useful resources and past events in our Mainframerz newsletter available via LinkedIn.

https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6903005290644795392

See you on the 18th!

This panel on sustainability features Caroline Robinson, Unite Lead Executive Board at Women+ in Geospatial; Biswajit Acharya, Ph.D. , Consulting Partner, Sustainable Banking, Finance and Investment at Tata Consultancy Services; Dr Andrew Smith, Co-Founder at Fathom; and Jasmine Small, Data Science and Research Officer at Marine Stewardship Council (MSC). They focus on the role of geospatial data and technology in sustainability, and how it can be best used to tackle challenges and help organizations reach their goals in this area.

Learn more about CARTO's mission to deliver technology, data and scalability to help global businesses and communities make strategic decisions surrounding their sustainability programs. https://sustainability.carto.com/