In Episode 20 of Season 2, on Driven by Data: The Podcast, Kyle Winterbottom is joined by Simon Walker (CCO) and Tim Smeaton (CEO), Managing Director at Kubrick Group, where they discuss tackling the growing data talent gap which includes:

• The implications of the increasing talent gap in data on the industry as a whole
• The causes of the widening talent gap
• How organisations can combat the talent gap
• Why organisations expectations are too high
• How data leaders can help solve the talent gap
• Innovative ways to drive diversity in data
• Becoming the employer of choice for in-demand candidates

In Episode 19 of Season 2, on Driven by Data: The Podcast, Kyle Winterbottom is joined by Di Mayze, Global Head of Data and AI at WPP, where they discuss the future of data, which includes:

• The biggest challenges within Data & Analytics
• The evolution of Data & Analytics over the next 10 years
• How to strike the right balance between being data-driven and creative
• How WPP are using Avatars to make AI fun
• What skills you need to prepare for the future
• The importance of deep-skilling
• The opportunities the meta-verse will bring

In Episode 18 of Season 2, on Driven by Data: The Podcast, Kyle Winterbottom is joined by Somil Gupta, AI Strategy and Monetization Advisor, where they discuss the operating models required to monetize artificial intelligence which includes:

• His journey to becoming Data/Ai Influencer of the Year – 2021
• How 70% of organisations have taken AI into production
• The typical gaps and challenges in AI adoption
• Why organisations have struggled to monetization data/AI
• What needs to change to make that happen
• The concept of Algorithmic Business
• Why algorithmic thinking is different from traditional management thinking
• Why we need Algorithmic Operating Models
• How organizations can start this journey?
• What are the key steps in the Algorithmic Business roadmap?
• What will quantify success?

In Episode 16 of Season 2, on Driven by Data: The Podcast, Kyle Winterbottom is joined by Paul Jones, Director of Data, Analytics & AI at Baringa Partners, where they discuss how to drive value through alternative perspectives within data management, which includes:

• How Data Management has evolved over the last 20 years
• Different perspectives of Data Management
• What kinds of value creation opportunities do these different perspectives open up
• The role of technology within Data Management
• Why having different perspectives can break down silo’s and improve collaboration
• The importance of jargon-busting and applying common sense to Data Management
• Whether these various perspectives on Data Management will help people get their heads around these concepts or make it more complicated
• What companies could do to simplify these ideas for people

In Episode 15 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Ian Thomas, Chief Data Officer at Credera, where they discuss how to drive cultural change within an organization to make it data-driven.

Ian provides great insight and tangible advice on how organizations can benefit from adopting a data-driven culture and how to achieve it successfully, which includes:

• What a data-driven cultural change means
• Why culture plays a crucial role in data-driven projects failing
• Who is responsible for leading cultural change
• The role humility plays in the journey to cultural transformation
• How to identify if your business is resistant to change
• The connection between data-driven cultural change and other cultural-workplace issues
• An example of the most successful cultural shift towards data

In Episode 14 of Season 2 on Driven by Data: The Podcast, Kyle Winterbottom is joined by Nicola Askham, The Data Governance Coach, where they discuss why it's important to address the human side of Data Governance within an organization, which includes:

• Why Nicola started her own business
• The importance of helping your employees understand the value of data governance
• How organisations can train internally
• Why there has been a re-surgence in the world of data governance within the last 12 months
• The biggest challenges facing the Data Governance community
• How to instil cultural change around the importance of data governance
• The importance of keeping it simple

In Episode 13 of Season 2 on Driven by Data: The Podcast, Kyle Winterbottom is joined by Neil Hoyne, Chief Measurement Strategist at Google, where they discuss how to build truly customer-centric organisations, which includes:

• What customer-centricity really means
• The shift from product-oriented strategies to a customer-centric strategy
• How to be truly customer-centric
• How to identify your best customers
• How to acquire, develop & retain customers
• How to build relationships with your customers
• The biggest mistakes organizations make that prevent them from being truly customer-centric
• Why is so much data collected by companies but unused
• The role of personalisation and experimentation
• How the pandemic has changed things in regards to customer valuations
• What drove him to write his book

In Episode 12 of Season 2 on Driven by Data: The Podcast, Kyle Winterbottom is joined by Nathan Hungenberger, CTO & EVP Science at Known where they discuss the importance of getting the balance right between science and creativity, which includes;

• The importance of data science in making better creative
• Why adopting the scientific methodology is crucial
• The tangible benefits of experimentation
• How to incorporate experimentation into an already hectic workload/schedule
• How focusing on the science methodology makes it easier to build data science teams
• The importance of optimizing creativity and what role data science plays in this
• How he built a successful team of 125 people
• The timescales to success
• Real-life success stories

In Episode 11 of Season 2 on Driven by Data: The Podcast, Kyle Winterbottom is joined by Lyndsee Manna, EVP of Strategic Partnerships at Arria NLG, where they discuss how natural language technology is helping to humanize data, which includes:

• An introduction into Lyndsee’s background and journey to her role at Arria!
• The role Arria has in allowing data to reveal insights by automatically generating language content from your data.
• Why Lyndsee sees the importance of humanizing data!
• The importance of being insights-driven rather than data-driven!
• An insight into how our brain processes different types of data!
• How humans, working alongside technology provides the best value for organizations.
• How technology can allow us to be more human again!
• How Covid-19 has caused a revolution within data.
• The economic value Arria brings to organizations!