Data & AI Podcast from Indicium AI
A podcast that explores the developments, insights and trends across data, AI and the technology that powers it. Join the Indicium 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.
Episodes
The Myth of the Magic Model
Enterprise AI initiatives frequently stall between pilot and production, even when the underlying models perform well. Kareem Al-Hakeem traces that pattern back to two recurring failures: investing in the wrong use cases without validating return early, and underestimating the governance and security overhead that real operational data demands. The episode covers how enterprises can qualify u
International Women's Day: Career lessons from Women in Tech
In celebration of International Women's Day, we brought together a group of women from across Indicium AI — from data scientists and AI advisors to people experience managers and partnership leads — to talk honestly about their journeys in technology. Hosted on Acast. See acast.com/privacy for more information.
AI-Assisted Coding: From Autocomplete to Autonomous Agents
In this episode of the Data & AI Podcast, host Alex Juarez, Director of Engineering at Mesh-AI, is joined by Elliot Budd (Lead AI Engineer), Millie Wan Marriott (Data Engineer), and Maartens Lourens (Principal AI Engineer) for a deep dive into the rapidly evolving world of AI-assisted coding.The team explores how AI coding tools have transformed from basic autocomplete suggestions to sophistic
Engineering for Resilience
In this episode of the Data & AI Podcast, hosts Steve Bryen, CTO at Mesh-AI, and Eric Papaluca, Principal Consultant at Mesh-AI, are joined by Adrian Hornsby, CEO and founder of Resilium Labs, focused at helping customers improve system resilience. Together, they explore what it really takes to build resilient systems and cultures that can adapt, recover, and thrive in the face of disruption.F
Operationalising AI in Financial Services
In this episode of the Data & AI Podcast, host Steve Barrett is joined by Amit Nandi, Solution and Data Architect at Barclays Corporate & Investment Bank.Amit shares how Barclays migrated its data estate to AWS, built a data mesh to empower quants, and tackled the security and compliance challenges of AI in banking. He also explores the shift from MLOps to AgentOps, the importance of domai
Data Chaos to Data Culture: How Financial Services Can Build Foundations That Last
In this episode of the Data & AI Podcast, host Josh Walker is joined by two heavyweights of enterprise data: Peter Jackson, Interim Global Head of Data at Schroders, and Jez Davies, Global Head of Data Products at Northern Trust. Together, they unpack the cultural, structural, and strategic barriers to becoming truly data-driven in Financial Services, and what it really takes to overcome them.
AI Transformation – A Partner Perspective on Avoiding Failure and Driving Success
80% of AI initiatives fail – stuck in pilots, misaligned with business strategy, or unable to scale. With AI investment soaring, the cost of inaction is rising.In this episode, Jacob Parsons (CEO, Mesh-AI) and Phil Le-Brun (Director, Enterprise Strategy, AWS) share practical advice for business leaders on why AI transformations fail – and how to avoid common pitfalls, and how to align business and
The UK's Clean Power Mission – How to Accelerate the UK’s Trajectory
Is the UK’s Clean Power Mission too ambitious? What stands in its way? Are we too focused on blockers and not enough on opportunities?Join EnergyUK’s Dhara Vyas, Green Alliance’s Laura Sandys CBE and Ofgem’s Marzia Zafar for a deep dive into making a net zero transition a reality and digitalising the UK’s energy system.Laura Sandys: “We shouldn’t wait for a crisis to adopt digitalisation.” Hosted
Data Analytics Explained: Turning Raw Data into Impact with Mike Swordy and Lydia Monnington
AI is only as good as the data behind it. Without a clear understanding of their data, businesses risk missing opportunities, making poor decisions, and struggling to scale AI effectively. Data analytics provides the insights needed to unlock value, solve critical challenges, and build the foundation for innovation.In our latest podcast, Data Analytics Explained: Turning Raw Data into Impact, we b
Transforming Energy Insights Through Strong Data Foundations to Reach Net Zero
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-c
Demystifying Data Contracts with GoCardless' Andrew Jones
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 creat
Adapting to the EU AI Act, and a Modern Engineering Approach
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
Our Experts Predict What’s Next for 2024 in the Data & AI Space
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.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
How Do We Build Trustworthy and Trusted AI Systems?
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 t
AI is Crucial but Businesses Lack the Strategy: Discussing the State of AI in the Enterprise
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-aut
Simplifying AI: Capturing Unstructured Data and Informing Decision-Making
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
Addressing Gender Bias in AI Through Data
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
Investing In People and Processes for MLOps
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 larg
The Role of Access Management in Democratising Data
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
Becoming a Data-Driven and AI-Enabled Organisation
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 organ
Women in Data: A Movement for Change
Roisin McCarthy founded Women in Data® in 2015 after being disappointed by the diminishing number of female applicants for data jobs and she is now recognized as an expert in talent acquisition and retention. Her endeavours with Women in Data have cemented her as an authority on gender representation in the world of data. Women in Data has grown to 25,000 members and Roisin continues to drive incl
Generative AI: The Role of Regulation and its Future
Welcome to the first episode of the Data & AI Podcast! In this episode, we explore the world of Generative AI and its impact on our lives. In light of some recent announcements in the space around section 230, we explore the potential harm implications and liabilities of this technology.We also discuss the topic of regulation and why it can be a positive thing, as well as using Generative AI f
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