Data Stand-Up!

Today Jesus chats with Brian, an inspiring professional who really understands the importance of Design when it comes to ideating, creating, and implementing data-fueled solutions and applications. Brian T. O’Neill is the founder of Designing for Analytics and a true believer in the importance of designing human-tailored data solutions. For over 20 years, he has been successful in creating innovative Advanced Analytical and AI business solutions for global leaders such as DellEMC or Tripadvisor, JP Morgan Chase amongst many others. Brian and Jesús explore how extraordinary value can be created when the outputs of data science and analytics are turned into engaging, valuable decision support applications and user experiences centered around the stakeholders, as humans, in the loop. The importance of generating adoption when building a data application or business solution is also discussed throughout the call. Brian also hosts his own podcast: Experiencing Data, where he reveals the strategies and activities that Product, Data Science, and Analytics leaders are using to deliver human-centered data products. Brian also authored the DFA Self-Assessment Guide, teaches a seminar called Designing Human-Centered Data Science Solutions, and publishes a weekly Insights mailing list. In 2020, Brian began advising students in MIT’s Sandbox Innovation Fund and was published in O’Reilly Media’s 97 Things About Ethics in Data Science Everyone Should Know. Brian is a classical and jazz musician by training, a professional drummer and percussionist in Boston. Listen to this episode to discover if Brian´s creative musical background has something to do with his "Design mindset" for Advanced Analytics and AI solutions.

On this occasion, Jesús chats with Kirk Borne, one of the most renowned Data and Artificial Intelligence leaders in the whole globe. For reference, Kirk has ranked as Top 1 worldwide influencer in the Digital, Data Science, and Artificial Intelligence disciplines, for the past 3 years. After completing his degree in Physics and Ph.D. in Astronomy, ​he carried out research in observational astronomy and theoretical astrophysics, and then, from 1985 through 1995, he worked at NASA’s Hubble Space Telescope (HST). Furthermore, he provided guidance and advice to NASA management in the design and development of the same HST systems. Dr. Borne has extensively contributed to the international community to promote astrostatistics and astroinformatics as robust research disciplines. More recently, last 2020, Kirk was elected Fellow of the American Astronomical Society for lifetime contributions to astronomy and the public's understanding of the Universe. In this episode, Kirk explains how he loves finding business solutions through data and debates with Jesus the most efficient ways to accelerate value creation and innovation from data through data technologies. Both do agree that the key starting point is expanding data literacy and data fluency across enterprises. As a Data Scientist, Kirk has performed high-profile transdisciplinary data science research, developed business applications, and performed consulting across a variety of industries. You should listen to this 8th episode to learn about his experience across dozens of advanced analytics use cases and business areas including customer engagement and behavioral analytics, risk mitigation, fraud detection, anomaly detection, and many more. Kirk has worked on these use cases using machine learning, data management innovations, graph analytics, predictive and prescriptive analytics, and geospatial-temporal modeling.

On this occasion, Jesús chats with Kirk Borne, one of the most renowned Data and Artificial Intelligence leaders in the whole globe. For reference, Kirk has ranked as Top 1 worldwide influencer in the Digital, Data Science, and Artificial Intelligence disciplines, for the past 3 years. After completing his degree in Physics and Ph.D. in Astronomy, he carried out research in observational astronomy and theoretical astrophysics, and then, from 1985 through 1995, he worked at NASA’s Hubble Space Telescope (HST). Furthermore, he provided guidance and advice to NASA management in the design and development of the same HST systems. Dr. Borne has extensively contributed to the international community to promote astrostatistics and astroinformatics as robust research disciplines. More recently, last 2020, Kirk was elected Fellow of the American Astronomical Society for lifetime contributions to astronomy and the public's understanding of the Universe. In this episode, Kirk explains how he loves finding business solutions through data and debates with Jesus the most efficient ways to accelerate value creation and innovation from data through data technologies. Both do agree that the key starting point is expanding data literacy and data fluency across enterprises. As a Data Scientist, Kirk has performed high-profile transdisciplinary data science research, developed business applications, and performed consulting across a variety of industries. You should listen to this 8th episode to learn about his experience across dozens of advanced analytics use cases and business areas including customer engagement and behavioral analytics, risk mitigation, fraud detection, anomaly detection, and many more. Kirk has worked on these use cases using machine learning, data management innovations, graph analytics, predictive and prescriptive analytics, and geospatial-temporal modeling.

Claire is an authority. A pioneer who has contributed far beyond her "job"to the evolution of data & analytics, business intelligence and data science. She has been recognised by DataIQ as one of the 100 most influential people in data and analytics within the UK in 2019. Last year was selected for "Twenty in Data & Technology" as an inspiring role model to others within the industry. Claire holds an astonishing cross-industry track record of creating and implementing successful initiatives. Various use cases around data innovation, Machine Learning and predictive analytics are presented throughout the call. She has also led and developed diverse, high performing and production data teams, of more than 200 individuals, in very demanding and regulated environments such as the fast-paced financial services industry. As it can be seen in this call, Claire is able to communicate complex technical information for a non-technical audience. Discussing with Jesus ( Bedrock Managing Director) how to create a “data mindset” and how to influence and advise C-level Executives and Committees on how to start investing in AI-based products and solutions.

Jesús Templado interviews Aash Viswanathan in this new episode of Data Stand-Up, who develops his professional activity as a data science on LinkedIn. Jesús and Aash talk about their professional career and their vision of the world of data.\r\n\r\nFounded in Mountain View, California, LinkedIn is currently headquartered in Sunnyvale, California, with 33 global offices in Omaha, Chicago, Los Angeles, New York, Washington, D.C., São Paulo, London, Dublin, Amsterdam, Graz, Milan, Paris, Munich, Madrid, Stockholm, Singapore, Hong Kong, China, Japan, Australia, Canada, India and Dubai. In May 2020, the company had around 20,500 employees.\r\n\r\nAash explains in detail a complex workflow in which he works every day and helps us understand his effort and commitment to achieve a goal on a personal level from an organization that has developed a platform of great value to society that uses the data deeply.\r\n\r\nThe ways AI can be used to augment decision making keep expanding. New aplications will create fundamental and sometimes difficult changes in workflows, roles and culture, which leaders will need to shepherd their organizations through carefully. Companies that excel at implement AI throughout the organization will find themselves at a great advantage in a world where humans and machines working together outperform either humans or machines working on their own.\r\n\r\n\r\n

Interview with Aash Viswanathan · Data Scientist · LinkedIn

Artur Ortega · Head of Platform Architecture · Babylon Health

Artur Ortega · Head of Platform Architecture · Babylon Health

The Green Bay Packers are a professional American football team based in Green Bay, Wisconsin. The Packers compete in the National Football League (NFL) being the 3rd oldest franchise in the NFL, dating back to 1919. The Packers are the only non-profit, community-owned major league sports team based in the US. Their Business Intelligence office is managed by Garrison Cummings, a professional whose passion is leveraging data insights into successful business outcomes. His knowledge of the digital marketing realm and expertise in data analysis has allowed him to gain a great understanding of their fanbase customer journey and he now excels in creating marketing analytics business plans to drive revenue at each stage of the customer journey. In today's podcast we discuss with him the evolution of data analytics, from the traditional Business Intelligence point of view to how companies are commencing to embed Data Science capabilities transversally across all business units. Garrison describes this evolution within the Packers very vividly, also sharing key insights on the different initiatives that he has led in the past and the analytical vision and mission that the Packers now have set for themselves for the years to come. Garrison has over 14 years of valuable experience in the e-commerce, catalog and sports marketing categories, specialising in data practices that relate to web analytics, mobile analytics, SEO/SEM, and e-commerce merchandising. 

The Green Bay Packers are a professional American football team based in Green Bay, Wisconsin. The Packers compete in the National Football League (NFL) being the 3rd oldest franchise in the NFL, dating back to 1919. The Packers are the only non-profit, community-owned major league sports team based in the US. Their Business Intelligence office is managed by Garrison Cummings, a professional whose passion is leveraging data insights into successful business outcomes. His knowledge of the digital marketing realm and expertise in data analysis has allowed him to gain a great understanding of their fanbase customer journey and he now excels in creating marketing analytics business plans to drive revenue at each stage of the customer journey. In today's podcast we discuss with him the evolution of data analytics, from the traditional Business Intelligence point of view to how companies are commencing to embed Data Science capabilities transversally across all business units. Garrison describes this evolution within the Packers very vividly, also sharing key insights on the different initiatives that he has led in the past and the analytical vision and mission that the Packers now have set for themselves for the years to come. Garrison has over 14 years of valuable experience in the e-commerce, catalog and sports marketing categories, specialising in data practices that relate to web analytics, mobile analytics, SEO/SEM, and e-commerce merchandising. 

Call to Garrison Cummings · The Green Bay Packers

This new English series of the Data Stand-up! podcast will be full of interesting guests and respected professional from the Data and AI Industry. This weekend Jesús calls Bill Schmarzo, “Dean of Big Data”, a pragmatic hands-on influencer and innovator. Bill has been recognised as an industry leader in Big Data, Data Science, Design Thinking and Data Monetisation. In the past he was Chief Innovation Officer at Hitachi Vantara and Chief Technology Officer at EMC. He has written 4 books “Big Data: Understanding How Data Powers Big Business,” “Big Data MBA: Driving Business Strategies with Data Science” and the forthcoming “Economics of Data, Analytics and Digital Transformation;” and published over 350 industry-leading articles and educational videos on the application of Big Data, Data Science, AI / ML and IoT to drive data monetisation and digital transformation. He is also a Professor an has developed and taught the “Big Data MBA”, a course for integrating data and analytics into the operations of the business, at the University of San Francisco School of Management and at the National University of Ireland-Galway School of Business & Economics. He also lectures to numerous universities and organisations worldwide. The Value Engineering methodology, which he created, drives customer collaboration (co-creation) and organisational alignment in identifying, validating, valuing and prioritising the organisation’s most important business use cases where data and analytics can have tangible and measure impact. For this he integrates Design Thinking with Data Science while employing a “Rapid exploration, rapid testing, failure-empowering, continuously-learning”  development methodology. We briefly introduce with Bill the business-first approach mechanisms for establishing, nurturing, empowering and leveraging  Advanced Analytics, Data Science and Value Engineering teams in order to uncover the customer, product and operational insights buried in each organisation’s data. Click play if you are keen to learn how to drive data monetisation.

Call to Bill Schmarzo

English Season 1 of the Data Stand-up! podcast begins with 2 brilliant guests that currently lead a powerful movement: Women in Data UK. In their own words, WiD UK is a movement and a force for change in the realm of data science and analytics. They provide a platform for female and gender diverse data professionals to share their technical knowledge and experiences, and to encourage more diverse representation in the industry. Roisin McCarthy, co-founder of Women in Data, and Karen Jean-Francois, Host and Producer of their own podcast, share their vision of the data science and AI industry with Jesús Templado. Roisin McCarthy, also leads Datatech Analytics, located in Basingtoke, a renowned firm that is considered by many to be the leading supplier of professionals in the Data Science and Analytics field. On the other hand, Karen is an Analytics Manager at Cardlytics, a company listed in the NASDAQ that has developed a Purchase Intelligence and Advertising Platform that helps marketers identifying opportunities and reaching people with relevant ads. Click play if you want to learn how WiD has helped our industry (and continue to), and how Karen and Roisin have lived the evolution of the data world over the past 2 decades.  Go, go, go!

Women in Data · Roisin McCarthy + Karen Jean-Francois

Trailer of the podcast Data Stand-Up! in its English version. A space in which we will speak with professionals from the world of data and in which we will address many topics of interest.

Intro - Data Stand-Up! [Eng]