In Episode 48 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Natalie Cramp, CEO at Profusion, where they discuss the role of HR in driving a data culture within an organisation and the benefits of putting data into HR, which includes;How HR can drive a data culture Why the next hire into your HR team should be a Data Scientist How data can create a more objective, fair and all-encompassing HRExamples of how this worked successfully at the 2012 London Olympic games The impact on recruitment, career progression, remote working and employee engagementHow data can be used to support diversity & inclusion initiativesThe partnership between people and data Why HR Directors should be a key part of data transformationHow HR can help organisations to improve data literacy across the organisation How data teams can support HR to be intelligent data customers The importance of data education and training Why it’s vital to create a north-star so everyone is gunning for the same purpose The many lessons that HR can learn from marketing The role of HR in Data Ethics

In Episode 47 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Steve Mattey, Managing Director at HH Global, Interactive, where they discuss the role of data in the new age of marketing, which includes;Data & Marketing, Post Covid The change in behaviours of consumers The schism in marketing between creative and data Top-Down (The Big Idea) V Bottom Up (Data-Driven)The importance of creating the perfect learning loopWhy traditional agencies have “fallen asleep at the wheel”Digital Transformation can’t happen without Data The rise of data-driven creativeWhy we’re in the perfect storm for cultural transformation to occur Data is now common currency for decision making Why marketing teams are fearful of the new landscape The importance of having the right peopleHow data is the engine room to deliver creative Digital transformation is not just tech it is mindset and behaviour tooThe relationship between Data, Marketing and Technology

In Episode 46 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Sameer Rahman, Director of Insight at The Royal Mint, where they discuss the role of data in the boardroom and how to get it there, which includes; Why you need to “show the money” The importance of showing the conclusion first Why simplicity is key The importance of understanding the people in the boardroomAnswer 1 burning questionStart with Strategy but not the Data Strategy Why middle-management can be more important than the boardroomThe difference in obtaining buy-in between middle management and the boardroom Why you need to cater to people’s self-motivation Use cases & proof of concepts help conversations in the boardroom The importance of choosing your project where ROI is demonstratableWhy you must define the metrics of success at the start of the initiative The importance of thinking time to drive innovation The role that maturity, literacy and trajectory play in defining an operating model Using external use cases to ‘get the penny to drop’Why you need to take advantage of being the flavour of the monthThe importance of tracking the revenue you’ve generated for the organisation  Why Evolution leads to Revolution The importance of communication to reduce scepticism Why you must demonstrate that data is commercial driver and not an enabler or utility Why Data Leaders need to welcome the advice of Data NED’s

In Episode 45 of Driven by Data: The Podcast, Kyle Winterbottom is joined by AI Author and Keynote Speaker, Calum Chace, where they discuss what impact Artificial Intelligence will have on human society in the future, which includes;His background in journalism and how he got onto the AI journey What Artificial General Intelligence is and how it will happen The big bang of AI in 2012: when it started to make money for organisations Why businesses that don’t deploy AI will be out of business in 10 years Why the technological singularity will be the biggest event in human history Why AI will eventually make us all permanently jobless Why this is the best and most exciting time in human history  How it’s likely that within this century death will be optional The stark potential downsides of superintelligence Why we will need an economy of abundance: where costs of goods are close to zeroWhy a superintelligence will look at humans, as we do chimpanzeesHow humans will eventually live in virtual reality for most of the timeWhy we should share more data rather than lessAggregated data is where we get the most benefits from AI Why you can’t interrogate the decision-making process of a human In the short term, people who work successfully with AI will replace those who don’t Companies need to be ABLE Humans need to get REAL

In this insightful discussion, Amiel Shapiro, VP of Data & Insights at Eko, shares his journey from the Israeli Special Intelligence Unit to leading data initiatives at a tech startup. He highlights the importance of choice-driven experiences in the future of eCommerce, showcasing how major brands like Walmart have improved engagement through innovative data strategies. Amiel emphasizes the need for a cultural transformation towards data-driven decision making and the role of storytelling in enhancing customer connections. Personalization and interactive video content are the keys to revolutionizing online shopping.

In Episode 43 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Jon Cooke, Founder of Dataception, where they discuss the benefits of the data mesh and the value it brings, which includes;What is a data meshHow it differs from other data platforms Why it’s faster, cheaper and less risky The commercial value which a data mesh brings The type of organisations it suitsHow it improves Speed & Scale of capability Its relationship with self-serve, experimentation and data management Fail fast mentality  The importance of organisational change The ownership considerations Build V BuyThe talent requirements Success Stories to check out

In Episode 42 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Doug McConchie, Head of Data & Analytics at HSO, where they discuss how to sell the value of your Data Strategy, which includes;The separation of data from technology Why companies start their Data & Analytics journey without a strategyThe major risks of doing soThe requirement of brutal prioritizationThe importance of continuously selling the value of your strategy How to articulate the value in different ways to specific audiences Any strategy should exist exclusively to support the business objectivesWhy you need to understand levels of maturity to articulate value The importance of incrementality in seeing the value of your strategy  Why financials will often determine the strategyThe timescales of developing the Data StrategyA framework of how to develop a Data Strategy Why the ability of data consumers is critical to a Data StrategyWhy technology shouldn’t be your first conversationHow to assess how you’re tracking against achieving value against the strategyThe importance of culture within a Data Strategy The relationship between culture and maturity  Why he wrote a book on this topic

In Episode 41 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Daniel Hulme, TedX Speaker and CEO at Satalia, where they have a truly fascinating conversation about the current Artificial Intelligence landscape and what the future holds, which includes:His TedX experience Why organisations don’t have ML/Data problems, they have decision problems Asking machines to resemble human behaviour isn’t “intelligence”Why he hasn’t seen a single complex system in production The true paradigm of AI is systems that can adapt themselves in production Why there are less than a handful of companies in the world that can do this at enterprise level How AI has been wrongly synonymised with technology The concept of digital twins Why humans are trying to solve problems that they’re not capable of solvingWhy services companies are the walking deadThe mistakes that most organisations make with AI Why you shouldn’t be hiring Data ScientistsThe scaremongering around AI EthicsWhy you shouldn't invest in Data Lakes if you’re serious about AI Why the term “quick win” is an oxymoronThe PESTEL singularity The goal of democratising innovation by open sourcing

In Episode 40 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Jason Krantz, CEO/Founder at Strategy Titan, where they discuss how to demonstrate the business value and financial impact of our Data & Analytics initiatives, which includes:Our job is to create clarity on how data can help the business reach its goalsWhy we need to find a balance between data literacy and business literacy    The importance of business context  Why its impossible to translate how D&A initiatives benefit the business without business literacy Push Versus Pull: why you’ve got to embrace the pull model     Why you need to get out from behind your keyboard to set yourself apart We are in a battle of hearts of minds, not technology   Why you should start by creating demand and how to do soThe importance of knowing how the score is kept and keeping score!How to quantify the financial benefits and/or business benefits before starting a project    The importance of understanding the decision making culture within your organisation      Why it reflects on you as a leader if change doesn’t occur The “cost” of data & analytics capabilities are simply table stakes to remain competitive Why we should calculate the financial value as opposed to ROI Why it’s on the organisation to gauge the financial value generatedWhy offensive initiatives are easier to quantify the financial value generated How to be in alignment with decision-makers that are acting on your recommendations to be able to claim added value

In Episode 39 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Errol Koolmeister, Head of AI Foundation at H&M, where they discuss how to successfully productionize Artificial Intelligence at scale, which includes:Why they established the foundation as an external function and then integrated it into the businessWhat the companies that are succeeding with AI are doing versus the ones who aren’tWhy you should focus on incremental value delivery as early as possible The 3 key factors for scale: Value, Feasibility, ReusabilityWhy you should start with the most flexible use case, not the best or most valuable The importance of creating infrastructure that supports AI How they returned all of the investment in AI within 12 months The importance of having clear ownership within the business Why Reusability is the key to success to scale AI Why the POV has replaced the POC Merging Long-term thinking with short-term gains How upskilling initiatives across the organization aided the evolution of AI How to get the balance of skills within your AI team What they did to create a compelling brand/narrative in the marketplace