• The Data & AI Podcast from Mesh-AI

  • By: Mesh-AI
  • Podcast

The Data & AI Podcast from Mesh-AI

By: Mesh-AI
  • Summary

  • A podcast that explores the developments, insights and trends across data, AI and the technology that powers it. Join the Mesh-AI team and special guests as they delve into the latest news and discuss the challenges on how enterprises are reimagining how they use data and AI to benefit their customers. Whether you're an experienced practitioner or just wanting to find out more about this constantly changing space, our podcast has something for everyone.

    Hosted on Acast. See acast.com/privacy for more information.

    Mesh-AI
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Episodes
  • Transforming Energy Insights Through Strong Data Foundations to Reach Net Zero
    Apr 22 2024

    EDF is the largest generator of zero carbon electricity in the UK, and its Wholesale Market Services (WMS) unit acts as a bridge between the supply and generation sides of the business. Their team had a problem: a lack of access and usability of the vast amount of data in its possession.


    This data holds the key to more effective pricing and ensuring electricity isn't wasted. By enabling data-centric decision making, Mesh-AI helped EDF unlock better insights and be in the strongest position to help Britain achieve Net Zero.


    We caught up with EDF Data Engineer Cici Whitcomb to discuss the challenges faced by the WMS team, the collaborative approach with Mesh-AI to solve these challenges, and the great uplifts in unlocking additional value from the data.


    About Our Guest


    Cici Whitcomb is a Data Engineer in the Wholesale Market Services (WMS) department at EDF. She has previously spoken on modernising her team's approach to data, her unconventional path into data engineering, and what organisations must do to ensure fairness and transparency in their technology.



    About the Podcast


    The Data & AI Podcast explores the developments, insights and trends in data science and AI/ML. Our hosts will delve into the latest news and discuss the challenges on how enterprises are reimagining how they use data and AI to benefit their customers.


    Interested in speaking on the show? Get in touch with us at podcasts@mesh-ai.com


    Hosted on Acast. See acast.com/privacy for more information.

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    23 mins
  • Demystifying Data Contracts with GoCardless' Andrew Jones
    Mar 12 2024

    Ensuring data is used and owned in the right way is a challenge for many organisations. Data contracts, long touted as the answer, are nothing new. But their role in a robust data governance strategy is still unclear to many.


    How does this fit in with your existing policies? What’s the impact on data products? How will it help you solve data quality issues at the source? We speak to the creator of data contracts to answer all of these questions and more.


    Join GoCardless’ Principal Engineer Andrew Jones, author of “Driving Data quality with Data Contracts”, Mesh-AI’s Principal Data Consultant Dan Ward and Consulting Director Deepak Ramchandani-Vensi as they demystify data contracts and delve into how engineers and data owners can make use of them.


    They cover:

    • What role a data contract plays and the problems it solves
    • The link between data contracts and data products
    • The resource impact on organisations of adopting data contracts
    • The misbeliefs around data contracts
    • The next steps organisations can take


    About Our Guest


    Andrew Jones is a Principal Engineer at GoCardless and author of the recently published and well received book "Driving Data Quality with Data Contracts". He is a regular speaker and writer, and passionate about helping organisations get the most value from their data.



    About the Podcast


    The Data & AI Podcast explores the developments, insights and trends in data science and AI/ML. Our hosts will delve into the latest news and discuss the challenges on how enterprises are reimagining how they use data and AI to benefit their customers.


    Interested in speaking on the show? Get in touch with us at podcasts@mesh-ai.com


    Hosted on Acast. See acast.com/privacy for more information.

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    38 mins
  • Adapting to the EU AI Act, and a Modern Engineering Approach
    Jan 30 2024

    Understanding how regulation impacts business operations is an integral part of innovation, and AI is no different. The much talked about EU AI Act is still in its nascent stages, but the importance of understanding how it will apply to you and the way you’re using AI can’t be underestimated. 


    Join Mesh-AI’s Chief AI Officer, David Bartram-Shaw, and AI regulation expert Tom Whittaker, as they discuss the implications for regulated and non-regulated sectors, the transition periods for EU AI act, and strategies for balancing legal compliance and preparing for the future. 


    In this latest episode of the Data & AI podcast, they cover: 

    • The importance of standardised frameworks
    • Understanding your engineering risks and how to solve them
    • How quickly businesses need to take action
    • The transition periods for the different risk level and uses of AI systems
    • The foundational stages of a modern engineering approach
    • How to help compliance functions understand what’s different


    About Our Guest


    Tom Whittaker is a renowned expert in AI regulation, with a deep understanding of the different approaches and regulations in the EU, UK, US, and globally. He is Senior Associate and solicitor advocate at Burges Salmon, and joins the show to explore the risks and opportunities that come with AI regulation.



    About the Podcast


    The Data & AI Podcast explores the developments, insights and trends in data science and AI/ML.  Our hosts will delve into the latest news and discuss the  challenges on how enterprises are reimagining how they use data and AI to benefit their customers. 


    Interested in speaking on the show? Get in touch with us at podcasts@mesh-ai.com 




    Hosted on Acast. See acast.com/privacy for more information.

    Show More Show Less
    47 mins

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