AI Master Group

Jim Griffin
AI Master Group

Hosted by Jim Griffin, this show features the researchers and leaders who are building the future of AI in their work today. Join us for thought-provoking conversations about the evolving world of artificial intelligence.

  1. 19 THG 12

    Iqbal Hossain: The UofAZ Knowledge Map Story

    Iqbal holds a PhD in Computer Science and Engineering, with a specialization in computer algorithms and graph theory. He is currently the Research Data Science Director at the University of Arizona. Aside from his innovative achievement in creating a knowledge map for the university (kmap.arizona.edu), he has one of the most remarkable and inspiring stories you’ll ever hear about overcoming disadvantages. (He grew up in a rural part of Bangladesh and was in 11th grade before he ever saw electricity.) In this episode, Iqbal describes the brief he was working on when he created the University of Arizona knowledge map. One of the interesting aspects of the project is that it is literally a map, with a visual “geography” of the various departments and disciplines within the university, laid out in a 2D plane, where the size and location of the polygons are based on the relative size and relationships between departments. Everything is fully interactive, including the ability to zoom in or zoom out, like one would do on a physical map, and where every element can be queried to extract more information from more than a dozen data sources, including both structured and unstructured data. The conversation also includes insights into how a large and complex project like this takes shape over time.

    34 phút

  2. 7 THG 12

    Jeffrey Spyropoulos: Making Analytics Count at JCP

    Jeffrey is one of those rare people who knew exactly what he wanted to do from an early age: Use mathematics to solve business problems. After earning his Masters Degree in Statistics from the University of Chicago, he went on to do high-impact analytics work in banking, retail and telco, holding senior leadership positions at top companies like Sally Beauty, HSN, AT&T and Bloomin' Brands. Currently, he leads Digital Analytics at JCPenney. In this episode, Jeffrey shares a detailed and very insightful analysis of all the factors and trade-offs involved in making a build vs buy decision for analytics or AI solutions in business. He also names what he sees as the best applications for leveraging AI and machine learning in retail – including a few especially promising ones that he has his eye on right now. The show concludes with great career advice for any students who are currently enrolled in college-level data science or AI programs.

    39 phút

  3. 24 THG 11

    Tapan Khopkar: A ‘MasterClass’ in Marketing Mix

    Tapan is the Executive Director of Marketing Sciences at OMD. This episode is a very thorough compendium of marketing science principles and practices, as applied to decisions about paid media. Topics include: •    Marketing Mix Modeling (MMM) vs Multi-Touch Attribution (MTA) vs experiments, including how to use each and for what purpose •    KPIs: Incremental sales vs top-of-funnel metrics like awareness and consideration •    How to design incremental changes in the direction that a model is pointing •    Testing a new marketing mix in various geo markets •    Judicious use of model hyperparameters, such as AdStocks •    The best cadence for measurement •    Third-party cookies (Implications of the shift towards user choice) •    Recent tools: Google Meridian (a Bayesian approach) vs Meta Robyn (a frequentist approach) These ideas are brought to life with an example from a financial services brand, planning a big launch, with a need to answer questions like: How should the paid media budget be allocated? Should the focus be branding first and performance later? How should ad spend be flighted (Always-On vs Burst and Trickle)? In effect, this show is a Master Class regarding marketing science, as described by one of the world’s top authorities on the topic, who’s currently an Executive Director at OMD, which is the world’s largest media agency network.

    50 phút

  4. 16 THG 11

    Aida Farahani: From 2D to 3D in Seconds

    With a specialization in 3D deep learning, Aida is doing ground-breaking work related to 3D simulations. In this episode, she first describes why meshes or point clouds are computationally-expensive for simulating changes to shapes. She then describes why “implicit fields” are much more efficient for this, as described in the widely-cited “DeepSDF paper.” Next she describes a special-case problem: Predicting the deformation of 2D objects into 3D shapes, such as when metal blanks are stamped into the shape of a car door, for example, which is a case that violates one of the assumptions for DeepSDF. However in this episode, Aida describes a method for using implicit fields to solve this problem too, thereby transforming a simulation process that used to take 20 minutes per trial to just a few seconds per run. In effect, this show is a preview of her soon-to-be-published doctoral dissertation!

    21 phút

  5. 9 THG 11

    Nikhil Patel: Inside Sally Beauty’s Data Strategy

    Nikhil is the Data Science Director at Sally Beauty Holdings, which is a $3.7 billion specialty retailer, with more than 10,000 products sold through over 4,000 stores, as well as online. Prior to his current role, Nikhil held a senior leadership role at Harman International, working with panel data from top CPG brands like P&G, Unilever and Kraft. In this episode, Nikhil describes his 19-year journey, starting from a Masters degree in Applied Mathematics, leading up to his current role at Sally Beauty. Within that, he describes several times when he needed to supplement his formal education with ad hoc or certification-led studies, in order to stay current and relevant. He also discusses omni-channel marketing, customer journeys and Segment of One, as well as emotional understanding of the consumer, beyond pure data science. And he describes how one-on-one experiences, like Studio by Sally (in store) or “licensed colorist on demand” (online), can change customer journeys, and can provide valuable insights for new product development.

    32 phút

  6. 2 THG 11

    Victor Perrine: From Bananas to $Billions

    Victor (Viko) Perrine is the Global Director of New Growth Initiatives at Circle K. Prior to that, he’s held senior leadership roles at Delek US Holdings and at UGP Inc.  In this episode, Viko describes a major new initiative called Lift that's unique to Circle K, which just launched in Europe, plus future development plans for that. Building on this, he describes the day-to-day for a global innovation leadership role, and he shares the success factors that help him to identify good target projects for innovation and growth. He also describes a project from earlier in his career that used lidar and computer vision to count banana trees on a 6,000 acre planation in the Philippines, which was the first time that had ever been done in that country. And with all this as context, he concludes with actionable tips for people who’d like to get the nod for leadership roles in innovation.

    25 phút

  7. 28 THG 10

    Ray Pettit: New Models for AI Literacy?

    Ray is the Chief Data and Analytics Officer at Valhalla AI Solutions. Prior to that, he held senior leadership roles at the Advertising Research Foundation, at the Institute for Experiential AI, and at comScore. In this episode, Ray discusses challenges associates with promoting meaningful AI literacy in business, starting with fundamental questions, like what is “AI literacy” exactly? (Is it merely the ability to use AI tools, or is a deeper understanding of the science behind those tools required?) He also discusses the reverse problem, where recent graduates from AI/ML programs lack sufficient domain knowledge to be full partners with key leaders at the companies that hire them. The end result is that many companies struggle to have meaningful dialog between their domain experts and their experts in AI and ML. On a more optimistic note, Ray describes a variety of initiatives in Canada, Germany and in select states in the US, that show promise for deepening the domain understanding of data scientists, while also empowering domain experts with a better understanding of data science.

    24 phút

  8. 26 THG 10

    Ivan Pinto: A Year of AI Testing in Software Dev

    Ivan is an Associate VP of Delivery at Robosoft Technologies. His team does application development, engineering and QA for US clients, including web (HTML, CSS), mobile (Android, iOS, Samsung, LG) and streaming, including Roku TV. In this episode, Ivan shares what he learned in his experiments over the past year using Gen AI to improve the efficiency and quality of code produced by his 300-member team, including results that he describes as “amazing,” with time savings of 40-50% in writing code. The technologies he discusses include GitHub Copilot, Amazon CodeWhisperer, Tabenine, Codeium, TestGrid and LambdaTest. And he describes how he chose between those, and also which ones he has his eye on for the future. Tests were done in various parts of the development lifecycle, including boilerplate code for new projects, bug fixing, unit testing, integration QA, and migrating from one language to another. Since not all of these situations benefited equally from AI-powered tools, Ivan describes what worked well, and where there are gaps that need further development work by vendors.

    24 phút
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Giới Thiệu

Hosted by Jim Griffin, this show features the researchers and leaders who are building the future of AI in their work today. Join us for thought-provoking conversations about the evolving world of artificial intelligence.

Thông Tin

  • Nhà sáng tạo
    Jim Griffin
  • Năm hoạt động
    2 N
  • Tập
    17
  • Xếp hạng
    Sạch
  • Bản quyền
    © 2024
  • Trang web chương trình
    AI Master Group

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