Rugby and ML with Capgemini
Play • 34 min

Brian Dorsey and Mark Mirchandani are back this week with guests from Capgemini as we learn all about ML in the rugby industry. Priscilla Li, Head of Applied Innovation, and Aishwarya Kandukuri, Data Scientist, start the interview explaining what they do at Capgemini and how the company uses new technologies to enhance projects with their partners.

When Capgemini became the official global innovation partner of the HSBC World Rugby Sevens Series, they were tasked with creating new ways for fans to use technology to further their experience. Priscilla and Aishwarya explain how they created a series of digital projects to accomplish this goal, and how the experience inspired them to use AI to automate aspects of the actual rugby games, such as identifying a scrum. They explain the challenges of these projects and how they conquered those challenges, as well as ways it has benefited the rugby commentators, players, and fans.

Later, they talk specifics regarding the process of tagging images and audio to use in AI projects and things they learned along the way. Priscilla and Aishwarya wrap up the interview with advice for others who may want to tackle a similar project.

Priscilla Li

Priscilla Li is a leader of Applied Innovation Exchange in the UK.  Her purpose is to apply innovation in ways that advance humanity with a team that is diverse in gender, thought, discipline and experience.  Together, they shape ideas and breathe life into them through the application of emerging technologies with a human perspective.  Priscilla has held leadership roles in innovation and technology, advising and implementing innovative solutions across industries in telecommunications, transport, public sector, and media.  As a founding member of Artfinder, funded by Silicon Valley and UK Venture Capitalists, she delivered the first image recognition technology to discover, share and sell art. In 2012, she was selected by Business Weekly as one of the top Cambridge entrepreneurs and received the Chairman’s Award for excellence at American Airlines. In the Applied Innovation Exchange, she continues to bring to life the art of the possible, collaborating with start-ups, academia, and the wider community to unlock new opportunities for growth and meaningful transformation.  Grateful for her journey, she hopes to inspire women to be pioneers, unencumbered by the reality of today, but energised by the promise of tomorrow.  

Aishwarya Kandukuri

Aishwarya Kandukuri is a Data Scientist in Capgemini’s Insights & Data Practice. Her role involves testing ideas and concepts by analysing data and building machine learning models using emerging technology. Aishwarya works with an interdisciplinary team to drive business solutions. She worked on various projects across the industries to apply Machine Learning concepts to solve complex business problems to meet the needs of the customers. She continues to seek innovative approaches and explore new technologies to achieve long lasting solutions.

Cool things of the week
  • From raw data to machine learning model, no coding required blog
  • Helping contact centers respond rapidly to customer concerns about COVID-19 blog
    • How can Chatbots help during global pandemic (COVID-19)? blog
    • Verily COVID-19 Pathfinder virtual agent site
    • COVID-19 Rapid Response Demo on GitHub site
    • Deconstructing Chatbots video
  • Recent Podcasts with Priyanka:
    • GCP Podcast Episode 188: Conversation AI with Priyanka Vergadia podcast
    • GCP Podcast Episode 195: Conversational AI Best Practices with Cathy Pearl and Jessica Dene Earley-Cha podcast
Interview
  • Capgemini site
  • Altran site
  • Rugby sevens partnership and technology site
  • AWS Kinesis site
  • AWS Fargate site
  • Applied Innovations Exchange on Medium blog
  • Emerging technologies in sports site
  • Applied AI within a Pop-Up store: a collaboration between Action for Children and Capgemini AIE video
  • To get the Quarterly Applied Innovation UK newsletter email
  • TensorFlow site
  • Firebase site
Question of the week

We talk to our friend Zack about how we could build something similar with ML! AutoML might be the way to go!

Where can you find us next?

Capgemini will be at more What’s Now London Events with topics like Disrupting The Field

Brian has been working on videos like Rethinking VMs - Eyes on Enterprise. He’s also been live streaming with Yufeng in Adventures with Yufeng on VMs.

Mark will be making more videos like Kubeflow 101.

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