ОБ ЭТОМ ЭПИЗОДЕ
We are all acutely aware of the need for the data industry to attract a constant flow of new talent.
However, a quick glance at any available data will tell us that there’s a huge challenge in ensuring that the industry is able to educate, inspire, and attract young minds during their journeys from classroom to employment.
Rachel Keane is the founder of the Data Inspiration Group and the digdata programme – a virtual work experience offering that develops key employability skills in students across secondary and tertiary education. Prior to this she co-founded Women in Data and worked as a data & analytics recruitment consultant for 12 years.
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ДРУГИЕ ЭПИЗОДЫ В ЭТОМ ПОДКАсте
Today I’m joined by Andre Balleyguier, Head of ML Field Engineering at Snorkel AI. Andre is an AI leader with deep expertise in machine learning, scaling teams, and driving business impact. Experienced in AI strategy implementation across areas such as insurance, banking, and manufacturing.
Hosted…
In this episode the topic is How can Data teams Measure and demonstrate the value they generate. Josh is joined by Alistair Adam – Head of Data Science at Optima Connect. Alistair created Optima Connects 2025 Report on “Measuring Data’s ROI”
Hosted on Acast. See acast.com/privacy for more informat…
Today we are joined by Robert Whiffin, Senior Solutions Architect at Databricks. Josh and Rob explore topics such as challenges companies are facing during data and platform migrations and how Gen AI can help address them, How AI improves code translation and optimisation during migration processes…
On Episode 27 James Miller, Data & Digital Transformation Director at Anmut joins the discussion to talk about Maximizing the Value of your data.
James has 25+ years’ experience in the data space. He has led data teams and built propositions at FTSE 50, 100 & 250 organisations, all th…
In this episode I am joined by Dr Shorful Islam, co-founder and CEO of Be Data Solutions.
With over 20 years of experience in the data and AI industry, Dr. Islam has been applying machine learning since his Psychology PhD—before “data science” became mainstream. Since then, he has helped global com…
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