Sinopse

A Move Forward in AI

Episódios

  • E50 Lauren Moores, Head of Data Science Innovation at Flagship Pioneering

    E50 Lauren Moores, Head of Data Science Innovation at Flagship Pioneering

    14/10/2020 Duração: 20min

    Today's guest is Lauren Moores, Head of Data Science Innovation at Flagship Pioneering. Lauren loves using dirty and disparate data to optimize business practices by revealing relevant metrics and insightful stories. With more than 20 years in data & technology strategy, science and data creation, she loves mentoring others to structure, 'speak' and think data. Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has applied a unique, hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value. In the episode, Lauren will tell you about: How she got involved in technology and Data Science, Her passion for applying data in Life Sciences, What a great Data Scientist looks like, Advice on moving into a leadership role, How to attract more diversity in Data Science, & Le

  • E49 Alexander O’Connor, Lead Data Scientist at Autodesk

    E49 Alexander O’Connor, Lead Data Scientist at Autodesk

    07/10/2020 Duração: 19min

    Today's guest is Alexander O’Connor, Lead Data Scientist at Autodesk in San Francisco. Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with their software. Autodesk gives you the power to make anything. Alex leads a team whose purpose is to help the customer to get the answer they need by allowing them to state their problem in their own words. The team is dedicated to enhancing support. They work in an agile fashion to deliver projects that leverage a variety of Machine Learning tools and have access to a fantastic store of data in many forms, all of which can be mined for insight, automation and prediction. In the episode, Alex will tell you about: Applying Machine Learning & Data Science at Autodesk, What he loves most about his job, Making the transition from academia to industry, The pote

  • E48 Ian Macomber, Director of Analytics at Drizly

    E48 Ian Macomber, Director of Analytics at Drizly

    26/08/2020 Duração: 25min

    Today's guest is Ian Macomber, Director of Analytics at Drizly, who are the world's largest alcohol marketplace and the best way to shop beer, wine and spirits. Their customers trust them to be part of their lives – their celebrations, parties, dinners and quiet nights at home. They are there when it matters - committed to life's moments and the people who create them. Drizly partner with the best retail stores in over 1200 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. In his role, Ian is responsible for leading Drizly's Data Science, Analytics Data Engineering and Business Intelligence teams. In the episode, Ian will tell you about: The work he does at Drizly, the world's largest alcohol marketplace, How COVID-19 has impacted the business, The skills he has learned in his experience to date, Figuring out the real business problems you are looking to solve, Build vs Buy: the im

  • E47 Kate Strachnyi, founder of DATAcated Academy amp Story by Data

    E47 Kate Strachnyi, founder of DATAcated Academy & Story by Data

    19/08/2020 Duração: 20min

    Today's guest is Kate Strachnyi, founder of DATAcated Academy & Story by Data. Kate is regarded as one of Linkedin's Top Voices in Data Science & Analytics. An author, podcast host and advisory board member, her focus is to provide custom Linkedin content strategy solutions for companies focused on innovating in the data science, machine learning and the AI space. Set up in March 2020, DATAcated Academy offers training data analysts on how to design effective and beautiful data visualizations. She is focused on delivering a visual best practices course that is product-agnostic. Additionally, they run the DATAcated challenge that includes crowd-sourcing information on various data-related topics, with a variety of prizes for select winners. In the episode, Kate will tell you about: Her contributions to the Data Science community The motivation for founding DATAcated academy Educating organizations on maximising their data Balancing the workload Upcoming projects and what’s in store for t

  • E46 Doug Laney, Principal of Data amp Analytics strategy at Caserta

    E46 Doug Laney, Principal of Data & Analytics strategy at Caserta

    12/08/2020 Duração: 26min

    Today's guest is Doug Laney, Principal of Data & Analytics strategy at Caserta. Doug is an experienced thought leader, consultant, advisor, author, speaker and instructor on data and analytics strategy topics. He is the originator of the field of Infonomics and author of the best-selling book, "Infonomics: How to Monetize, Manage, and Measure Information for Competitive Advantage." He currently helps leading organizations conceive, architect and implements ways to innovate with their available data to drive increased business value from them at Caserta. Doug consults to chief data officers and other data/analytics leaders on best practices for managing, monetizing and measuring their information assets. In the episode, Doug will tell you about: Interesting projects he is working on at Caserta, Common trends they are helping organisations embrace within Data & Analytics, Key learnings from his best-selling book Infonomics, What he enjoys about working within Consulting, Advice

  • E45 Bill Schmarzo, Chief Innovation Officer at Hitachi Vantara

    E45 Bill Schmarzo, Chief Innovation Officer at Hitachi Vantara

    05/08/2020 Duração: 29min

    Today's guest is Bill Schmarzo, Chief Innovation Officer at Hitachi Vantara. Bill Schmarzo is regarded as one of the top Digital Transformation influencers on Big Data and Data Science. His career spans over 30 years in data warehousing, BI and advanced analytics. Currently, “The Dean of Big Data” guides Hitachi Vantara's technology strategy and drives “co-creation” efforts with select customers to leverage IoT and analytics to power digital transformation. Bill formerly served as CTO of Big Data at Dell EMC and as the VP of Analytics at Yahoo! Bill is passionate about teaching his students and followers how to Think Like a Data Scientist, an approach advocating the capacity to learn concepts and methodologies, enabling transferable skills in a world driven by the rapid introduction and adoption of new tools and open source frameworks. In the episode, Bill will tell you about: How he got interested in Data Analytics, What he learned during his time with Yahoo and Dell EMC, Balancing his day-to-

  • E44 Adam Waksman, Director of Engineering at BlackRock

    E44 Adam Waksman, Director of Engineering at BlackRock

    24/06/2020 Duração: 29min

    Today's guest is Adam Waksman, Director of Engineering at BlackRock. Adam is an Executive Technology Leader with a focus on enterprise software delivery, product strategy, data management and data science, as well as CTO experience and knowledge of organizational design. He is also an accomplished scientist and mathematician, having made scientific contributions across fields in computer science, data science and neuroscience. BlackRock is a global asset manager who helps investors build better financial futures. As a fiduciary to investors and a leading provider of financial technology, BlackRock's clients turn to them for the solutions they need when planning for their most important goals. Launching over 30 years ago, their founding mission was to establish a firm that thinks differently about managing investment risks to best serve our clients, and this is still at their core today. In the episode, Scott will discuss: Transitioning his career into leadership, Advice to academics moving into industry, What

  • E43 Scott Taylor, The Data Whisperer

    E43 Scott Taylor, The Data Whisperer

    17/06/2020 Duração: 27min

    Today's guest is Scott Taylor, who is commonly known as "The Data Whisperer." Scott has helped countless companies “calm data down” by enlightening business executives to the strategic value of master data and proper data management. He focuses on business alignment and the “strategic WHY” rather than system implementation and the “technical HOW.” He also acts as Principal Consultant for MetaMeta Consulting – A Data Story Boutique. An avid business evangelist and original thinker, Scott continually shares his passion for the strategic value of master data through industry events, public speaking opportunities, blogs, videos, whitepapers, podcasts, cartoons, puppets shows and all forms of thought leadership. He has also worked with global enterprises by representing some of the world’s most iconic business data brands including Dun & Bradstreet, Nielsen and Microsoft. In the episode, Scott will discuss: His interesting work in helping enterprises tell their data story, The role of Data Management within Da

  • E42 Marco Morales, Senior Director of Data Science at NBCUniversal Media

    E42 Marco Morales, Senior Director of Data Science at NBCUniversal Media

    10/06/2020 Duração: 26min

    Today host Mark Kelly speaks with Marco Morales, Senior Director of Data Science at NBCUniversal Media in New York. As part of the leadership of a corporate-level group that builds data products, develops tools and supports strategic decisions with data across all NBCUniversal business units, Marco is leading the integration of linear and digital forecasting in a unified platform to provide a comprehensive view of the total audience for all NBCUniversal's TV properties. Marco has successfully architected and led a team of data scientists, data engineers and consultants to migrate data and forecasting pipelines that feed the forecasting platform to open-source which reduced data and forecasting processing time by 50%. He also provided methodological guidance and led the development of novel methodologies to automate monitoring of 5K+ forecasts in production, including early indicators of changes in TV viewership. In the episode, Marco will discuss: Transitioning from Political Science into Data Science, Transf

  • E41 Cameron Davies, Former SVP of Corporate Decision Sciences at NBC Universal

    E41 Cameron Davies, Former SVP of Corporate Decision Sciences at NBC Universal

    03/06/2020 Duração: 23min

    Today's guest is Cameron Davies, former SVP of Corporate Decision Sciences at NBC Universal. Cameron was responsible for both the Corporate Management Sciences and their News Group Insights teams. His work included working on the development and execution of advanced analytics, data and research strategies, driving NBCU priorities such as leveraging Big Data, personalization of content, monetization strategies, alternative measurements and customer insights. In the episode, Cameron will tell you about: Transitioning from academia into industry, His amazing experience with Disney, The importance of empathy, Building trust & maintaining strong relationships, How AI is impacting the customer experience within media, and Advice to Data Scientists coming into industry

  • E40 Wally Lo Faro, VP of Data Science at Mastercard

    E40 Wally Lo Faro, VP of Data Science at Mastercard

    27/05/2020 Duração: 22min

    Today's guest is Wally Lo Faro, VP of Data Science at Mastercard. Wally has successfully built the data science capabilities and team in MasterCard Operations and Technology over the past five years. He is responsible for applying advanced techniques for improving and maintaining data quality of very large data sets, information product ideation and development as well as applying data science principles for process improvement. Wally has applied techniques from the areas of mathematics, machine learning, information retrieval, text analysis and statistics to design highly scalable approximate string matching systems, data quality monitoring and alerting systems, and fraud detection applications. He has also worked in designing marketing analytics and modeling environments, as well as building scalable and personalized recommendation engines. In the episode, Wally will tell you about: Interesting projects he is leading at Mastercard, How his role has evolved in his 13 years with the company, Transitioning&nbs

  • E39 Gokcen Aygenc, Director of Analytics at Blue Apron

    E39 Gokcen Aygenc, Director of Analytics at Blue Apron

    20/05/2020 Duração: 15min

    Today's guest is Gokcen Aygenc, Director of Analytics at Blue Apron. Founded in 2012, Blue Apron are reimagining the way that food is produced, distributed and consumed. Their core product is the cooking experience with original recipes designed along with fresh, seasonal ingredients directly to customers. They are building a better food system that benefits consumers, food producers and the planet. Gokcen leads a team of data analysts to coordinate demand forecasting related inputs (brand marketing strategies, programs, promotional calendar, launches) for a reconciliation to the financial forecast and procurement schedule. Prior to her current role, she served as an executive at various business analysis roles at Quontigo, Blackberry, Acer, and Hewlett Packard in Istanbul, Dubai and New York. In the episode, Gokcen will discuss: Developing her technical and people skills within different cultures, How to use predictive analytics effectively within your business, What to look for in hiring Data Scientist

  • E38 Ela Osterbeger, Director of Data Science at Deliveroo

    E38 Ela Osterbeger, Director of Data Science at Deliveroo

    13/05/2020 Duração: 21min

    Today's guest is Ela Osterbeger, Director of Data Science at Deliveroo. Ela heads up the Data Science team that works on the Delivery algorithms, Consumer care, Experimentation platform and Rider pricing. Prior to exploring data on pizza and finding the fastest route from A to B on a bike, she ran a data team at The Guardian. Ela is passionate about developing Data Scientists and creating an inclusive work environment. In the episode, Ela will discuss: Developing her problem-solving skills, Building trust & strong relationships with stakeholders, Transitioning into a leadership role, What she looks for when hiring Data Scientists, Improving the customer journey at Deliveroo,  and How AI & Data Science are impacting the delivery industry.

  • E37 Howard Friedman, Chief Data Scientist, Author and Columbia University Professor

    E37 Howard Friedman, Chief Data Scientist, Author and Columbia University Professor

    12/05/2020 Duração: 29min

    Today's guest is Howard Friedman, Chief Data Scientist, Author and Professor at Columbia University. Howard has a great interest in applying data science with specific experience leading teams in the corporate, academic and public sectors. He has created five startup companies, as well as serving as the director of a Fortune 100 company. His industry experience has focused mainly on the healthcare, finance, telecommunications and retail sectors, including supporting operations areas of large private equity firms, His skills include leading analytic teams, communicating to senior executive and lay-audiences as well as teaching data science to technical and non-technical teams. He also enjoys writing data-related books. In the episode, Howard will discuss: What he loves about his job, How to transition from academia to industry, Showing executives how to successfully digitalize your business, His passion for the potential of data & technology in healthcare, Preparing for the real-world of data, an

  • E36 Leo Grady, CEO at Paige

    E36 Leo Grady, CEO at Paige

    14/04/2020 Duração: 19min

    Today's guest is Leo Grady, CEO at Paige who are the leading computational pathology company focused on building AI to transform the clinical diagnosis and treatment of cancer. Paige has brought together the world's leading experts in data science, computational pathology and clinical practice with the mission of advancing clinical diagnosis and treatment of cancer, improving patient outcomes and upgrading the pathologist’s experience. Leo is a seasoned healthcare technology professional, with over 15 years of experience in developing and deploying advanced machine learning, computer vision and medical imaging technologies. He has led the company to receive Breakthrough Device designation by the U.S. Food and Drug Administration (FDA), the first such designation for AI in cancer diagnosis. In the episode, Leo will share with you: Paige’s impact in treating cancer patients Advice on moving from academia to industry How you improve your communication skills Building the ideal Data Science team How to be an

  • E35 Ted Tanner, CTO and Chief Architect at IBM Watson Health

    E35 Ted Tanner, CTO and Chief Architect at IBM Watson Health

    24/03/2020 Duração: 26min

    Today's guest is Ted Tanner, CTO and Chief Architect at IBM Watson Health. IBM Watson Health aspires to improve lives by addressing the world's most pressing health challenges through data and cognitive insights. Ted is responsible for the technology and platform directives across all of Watson Health genomics, pharmacology and oncology as it pertains specifically to AI-based technologies. From being responsible for C-Level P&L at publicly traded corporations such as Apple and Microsoft, Ted also co-founded startup PokitDok Inc. which was acquired by Change Healthcare in 2018. He also published numerous articles in leading technical magazines and holds several patents in the areas of blockchain, semantics, machine learning, signal processing and signal protection. In the episode, Ted will discuss: The interesting roles he’s enjoyed over the years, Transitioning from engineering into running his own business, Learns he has taken into his role at IBM Watson, Exciting projects at IBM Watson Health, 

  • E34 Deepna Devkar, VP of Data Science amp Engineering at CNN Digital

    E34 Deepna Devkar, VP of Data Science & Engineering at CNN Digital

    10/03/2020 Duração: 28min

    Today's guest is Deepna Devkar, Vice President of Data Science & Engineering at CNN Digital where she heads up the Data Intelligence team in New York. She works to understand the CNN audience across devices and build recommendation systems that increase user engagement across all CNN brands. Deepna has worked primarily in the media industry with strong experience building and leading cross-functional teams. She enjoys working on projects ranging across audience segmentation, content recommendation and personalization. In 2018, she was recognized for her contribution as Folio's Top Women in Media, Corporate Champion. In the episode, Deepna will discuss: Her interesting Data Science journey to joining CNN, How they are applying Data Science to transform CNN Digital, Transitioning from academia into industry, Challenges to be aware of moving into Leadership roles, How to build a successful Data Science team, Advice on how to kick start your Data Science career, And What she loves about he

  • E33 Thomas Vincent, Head of Data Science at Getty Images

    E33 Thomas Vincent, Head of Data Science at Getty Images

    11/02/2020 Duração: 25min

    Today's guest is Thomas Vincent, Head of Data Science at Getty Images. Thomas is an experienced statistician and programmer who is passionate about developing tools and pipelines to discover and retrieve underlying phenomenons and patterns in modern-day datasets. His work includes predictive analysis, NLP, data visualization and data analysis. Getty Images is the most trusted and esteemed source of visual content in the world, with over 200 million assets available. They serve creative, business and media customers in almost 200 countries with images from over 200,000 contributors and hundreds of partners to provide comprehensive coverage of more than 130,000 news, sport and entertainment events around the globe. In the episode, Thomas will discuss: How they are using AI and Data Science at Getty Images, Building and scaling a successful data science team, What their ideal candidate looks like, Why Getty Images is a great place to work, How to stand out in the interview process, What would he do differen

  • E32 Glenn Hofmann, Chief Analytics Officer at New York Life Insurance

    E32 Glenn Hofmann, Chief Analytics Officer at New York Life Insurance

    28/01/2020 Duração: 22min

    Today's guest is Glenn Hofmann, Chief Analytics Officer at New York Life, one of America's largest mutual life insurance companies. For over 175 years, New York Life and their subsidiaries provide insurance, investment and retirement solutions. They believe in the importance of human guidance and intrusted relationships built on being there when customers need them most. Glenn is an experienced Senior Executive in Insurance and Financial Services, who currently leads the corporate 50-person Data Science and AI function at New York Life. He is responsible for the foundations, relationships with many internal groups and a great variety of projects. He also leads their Data Science Academy, their internal education program for all New York Life employees. In the episode, Glenn will discuss: What he loves about his role at New York Life, How he helped the company embrace a data-driven culture, Exciting projects they are working on within the insurance industry, Creating a successful data science team, How to

  • E31 Paul Brenner, Head of Data Science at PlaceIQ

    E31 Paul Brenner, Head of Data Science at PlaceIQ

    21/01/2020 Duração: 24min

    Today's guest is Paul Brenner, Head of Data Science at PlaceIQ where he defines the role of data science within the company. Paul ensures the team works on the most impactful projects, finds new ways that they can build new products that will fulfil their client's needs and helps promote education within the organization to keep PlaceIQ ahead of the competition. Based in New York, PlaceIQ powers critical business and marketing decisions with location data, analytics and insights. Companies can uncover opportunities within the consumer journey by learning about and connecting with location-based audiences, measuring real-world ROI, and applying insights that drive intelligent marketing and successful business outcomes. In the episode, Paul will discuss: How he helped grow the Data Science function at PlaceIQ, The different paths available for Data Scientists, Advice on deciding when to apply Machine Learning in your business, What to consider when making your next career move, Building a high-perform

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