Data & AI Podcast from Indicium AI

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 [email protected] 

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

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

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.

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 [email protected] 

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

Welcome to the first episode of 2024 as we delve into the challenges of AI implementation, data quality, and the future of data adoption with experts from Mesh-AI Brendan Foxen, Kayleigh Bull, and Tareq Abedrabbo, as well as from your co-hosts Deepak and DBS.

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From the impact of generative AI to the role of partnerships in driving innovation, we cover it all. Tune in to learn more about delivering high-quality data for value, the pressures to adopt AI… and what is likely to happen in 2024.

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Trust is very difficult to gain, but very easy to lose, and a lack of trust in data and AI can hamper any transformation journey.

But investing in the right frameworks and risk controls can foster greater trust in data and AI systems, and, in turn, improve the quality of underlying data and the output of AI.

In this podcast, hosts DBS and Deepak welcome Mesh-AI Senior Data Scientist Jakub Janowiak to discuss:

• How can we foster better trust in AI systems?
• What are the pitfalls of a lack of trust in AI and data?
• How do we gain stakeholder support?
• What frameworks do organisations need in place?

About the Podcast

‍The Data & AI Podcast explores the developments, insights and trends in data science and AI. 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 [email protected] 

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

Opportunity is ripe for enterprises, with the majority saying AI is crucial to their operations but they lack clearly defined strategies for how to implement it. Our new research report, The State of AI in the Enterprise, revealed what’s driving AI adoption and the challenges enterprises are facing. 

In the latest episode of the Data & AI podcast, Mesh-AI Chief Customer Officer, and co-author of the report, Ben Saunders, joined us to discuss the report’s key findings:

• Knowing how to apply AI to the business is the biggest hurdle to AI adoption
• Data quality and accessibility are the biggest technical barriers
• The difficulties facing organisations attracting the right talent
• Predictions for the year ahead for AI in the enterprise

About the Podcast

‍The Data & AI Podcast explores the developments, insights and trends in data science and AI. 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 [email protected] 

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

Di Mayze is the Global Head of Data and AI at leading global marketing and advertising giant WPP. Di is the first to hold the title, setting the data strategy for WPP and its agencies. We asked her how she’s built a data driven culture to accelerate literacy and help agencies understand how to harness data and AI.

We discuss WPP’s philosophical approach towards data management and its importance to fuelling AI, data variety vs data volume and the importance of capturing new types of data at an unprecedented scale. Di also explains how to give people fulfilment in their careers by diagnosing where humans can do strategic work and use AI to lower value tasks.

Links mentioned

• Di’s Twitter
• Di’s LinkedIn
• [email protected] 
• WPP

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Today we’re joined by Júlia Bayascas Caseras, Sandra Cristina Correia and Erika Duckworth Oates from Siemens Energy. They discuss the internal community they created, Women+, which aims to empower and connect women and minority genders working in the data space at Siemens Energy. 

The community has grown to almost 200 members, including a diverse group of male allies, women, and other minority genders. Tune in as we explore the challenges women face in the tech industry and the trio's continued efforts to address the myriad of issues.

Links mentioned:

• Júlia Bayascas Caseras on LinkedIn
• Sandra Cristina Correia on LinkedIn
• Erika Duckworth Oates on LinkedIn
• TEDxPasadena: How to Outsmart Your Own Unconscious Bias
• The European Institute for Gender Equality
• International Women’s Day

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Andy McMahon is a physicist turned data scientist and machine learning engineer with interests across science and data. He is author of ‘Machine Learning Engineering with Python’ and the Head of MLOps at NatWest Group. He has extensive experience of taking analytics solutions from ideation to production.

Andy talks about his insights on the impact of AI, the challenges of implementing MLOps in large organisations, and the importance of collaboration between data scientists and engineers. Tune in to gain a deeper understanding of MLOps and its role in the development and deployment of machine learning models.

Links mentioned

• Andy’s book ‘Machine Learning Engineering with Python’ (2nd edition due in August include material on LLMs)
• Andy’s LinkedIn
• Andy’s Twitter @ElectricWeegie
• Andy’s Website
• Andy’s Medium
• AI Right? Podcast

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Bart Vandekerckhove is the Co-founder of Raito, a modern data access management fabric that enables organisations to put a wrapper around their entire data estate. He joins the show to share his background and explains how the challenge of scalable data access management led him to start Raito.

Tune in as we unpack more about the role of access management in democratising data, especially in modern paradigms such as data mesh and data products. We also touch on mitigating risk with data governance, limiting service-based access, as some scalable approaches to consider. 

Links mentioned:

• Raito
• Bart on LinkedIn

Episode Hosts

• Deepak Ramchandani — Consulting Director, Mesh-AI
• DBS - Chief AI Officer, Mesh-AI

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Robin Sutara is the Field Chief Technology Officer at Databricks. Over the course of her career, she has worked with hundreds of organisations to create game-changing data strategies, whilst building a strong data culture with diverse data teams. 

In this podcast, we hear more about Robin’s experience working at Microsoft and Databricks to help their customers transform into data enabled organisations. We also explore more practical ways in which organisations can embrace and prioritise diversity and inclusion in tech and the key initiatives she is working on. 

Links mentioned

• Robin’s LinkedIn
• Databricks
• Women In Data

Episode Hosts

• Deepak Ramchandani — Consulting Director, Mesh-AI
• Rhyd Lewis — Director of Delivery, Mesh-AI

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