Explorez tous les épisodes du podcast BossNData

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 companies develop data strategies and build predictive models that drive business growth.

He specialises in building data functions across organisations such as ITV and Wunderman and is the author of Data Culture, a book on integrating data as a fundamental organisational component.

Beyond his leadership at Be Data Solutions, Dr. Islam founded Subatomic Analytics and advises multiple startups on data and AI. His career includes roles as Chief Data Scientist at Tribal Worldwide, Managing Director at Stream Intelligence, and Managing Partner at Wunderman, along with leadership positions at adam&eveDDB/DDB and ITV. He also brings experience from the NHS and local government.

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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 the way to start-ups. On Episode 27 James Miller, Data & Digital Transformation Director at Anmut joins the discussion.

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Today we are joined by Wasim Mushtaq, With nearly two decades of leadership in financial services, Wasim has driven operational excellence, strategic transformation across global banks and innovative startups. He is the Founder & CEO of 1CG, Strategic Partner to Birdie, Advisory Board Member to Bankability and the Operational Excellence Society.

Josh and Wasim explore topics such as Leadership Strategy, leveraging AI and Operational Excellence, Transformational change, and a focus on Super Apps within the finance space.

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Today we are joined by Inez Hogarth, Managing Director of Data Understood, Inez has extensive experience across diverse industries such as Insurtech, health, and publishing, Inez has a proven track record of turning data into actionable insights that drive growth. She has supported award-winning digital projects and played a pivotal role in shaping public sector initiatives during crises like COVID-19.

Josh and Inez talk through the importance of , Digital and AI transformations, debunking common digital myths to shifting the focus from delivery speed to a culture of continuous learning.

Get ready for an inspiring conversation with Inez as we explore the vital intersection of humans and AI, and discover how you can drive meaningful change in your organisation!"

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As the data industry has grown in both size and influence over the last two decades, the role of the data leader has evolved to match this trajectory.

With many organisations now employing Chief Data Officers, should CDOs be, firstly, business leaders who can align data strategies with organizational goals and drive value? 

With many existing or aspirant CDOs following a data technology path in their careers to date, are they able to ensure that their voice is heard when organizational objectives are decided at a strategic level or are they more suited to the operational execution of these strategies?

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When the COVID pandemic hit society in 2020, one of the few positives that emerged from the world-wide chaos was the enforced change in working practices. 

Huge numbers of previously office-based staff were easier able to balance work outputs with care commitments as commutes were negated and 9 to 5 working models evolved into more flexible “results-based” patterns. 

As the needle moves back towards mandated returns to office-based control systems for many employees, what does this mean for the ability of certain sections of society to have equally valid professional and family lives? 

Are female workers, especially those with care commitments, forever destined to have to choose “career progression or family” or is there a way to balance and achieve success in both areas of life?

Rob and Monique debate the challenges, biases and obstacles surrounding that care providers, 

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This Special Edition of the podcast brings 3 distinguished voices into the BossNData studio to celebrate the achievements of one of our own – Paul Laughlin.

Having made the decision to retire, Paul ends a 35-year career as a Customer Insight Leader this year. 

He spent a quarter of a century leading technology and data teams at Lloyds Banking Group and Scottish Widows before a hugely successful career transition into data leadership coaching and mentoring, public speaking, broadcasting and blogging & writing.

In that time, he has touched many hearts with his humility, humour, friendship and sage advice and with so many data leaders having benefited from his wisdom over the years, his impact on the UK data industry cannot be underestimated.

Joining Paul and Rob in the studio to reflect on Paul’s career are Graeme McDermott, CDO at Tempcover and Michael Young, CEO of MBN Solutions.

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Small to Medium enterprises present a unique challenge for the Data Leader looking to build or lead a successful data function.

Agility and innovation can often balance out the potential limitations around resources and infrastructure that some SME data leaders may experience.

Experimentation, collaboration, a holistic vision, and careful nurturing of talent can often pay off for the data leader looking to “punch above their weight” in an SME environment… 

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Data has played a transformative role in the creation of the modern business landscape. The dynamic interplay between data, business strategy and the commercialisation of data assets has assisted in the creation of some of the largest and most profitable businesses on the planet. 

Today’s businesses, in any sector, must seek to understand how to harness data to drive innovation and unlock new revenue streams, how a data strategy should exist symbiotically with a business strategy and how to navigate the undoubted challenges, including ethical considerations, that underpin responsible data commercialisation.

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In an era of Open Banking, AI and APIs, it’s never been simpler to utilise financial services products to successfully manage personal and business finances.

However, much of the innovation and ease of use of these tools may not be widely known, distributed or discussed beyond the realm of financial services data experts.

Marilena Karanika is the Head of Innovation at Experian, providing data and analytics support across different product domains such as affordability, credit risk and insurance.

She has a background in credit risk modelling and loves translating data into behavioural insights that people and organisations can use to make better decisions.

She has been voted Innovator of the Year 2021 in the Women in Credit Awards and has been nominated for the UK Tech Professional Award in the Data category in 2024.

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According to the World Economic Forum, by 2025, it’s estimated that 463 exabytes of data will be created each day globally, the equivalent of 212,765,957 DVDs per day.

Some of this data will be generated by machines, and some of it by humans. When that data is our data, when it’s personal or sensitive information, we need to ask ourselves when should and shouldn't that data be shared or even collected. Whether it’s for medical trials that lead to breakthroughs 'for good', or with the government, or with technology companies building new AI tools, we should understand and accept when our data should be kept private and minimised and where sharing or publishing would be a breach of trust.

Sorcha Lorimer is the Founder of Trace, a global privacy and data security startup where she has extensive client, product, and business building experience. Dually qualified in privacy and cyber security risk management, she takes a holistic and practical approach to helping Trace’s clients build trusted brands and data models and leverage a “by design” approach to privacy and security for competitive advantage. 

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Knowing why, how and where to build a data team is an art unto itself. Add in the ever changing and evolving landscapes of technology enablement and business practice to the mix and you have a very hard nut to crack.

And, if you are feeling that you could be doing with a little bit more to contend with, let’s throw in a whole load of regulatory compliance to the mix.

Dr. Greig Cowan is Head of Data Science and Engineering for Data Innovation at NatWest Group.

He has a PhD in physics from the University of Glasgow and prior to joining NatWest spent over a decade as a researcher in high-energy particle physics, working as a member of the LHCb collaboration at the CERN Large Hadron Collider.

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Early careers in the Data Sector are often defined rigidly as graduate roles, following several years of campus-based study.

However, does this rigidity provide the diversity and breadth of experience and world view that the Data sector requires to be fully respondent to future challenges?

Are we in danger of subconsciously blocking wide sections of the population from a potential opportunity to shine?

Calum Mather is General Manager at Inov8 Consulting. His expertise has been honed over more than two decades of experience in the technology, data and business arenas.

With roles ranging from Senior Data Analyst through BI Consultant, HR Manager and beyond, his unique worldview has seen him become a passionate advocate of early careers strategies and promoter of the importance of offering diverse talent an opportunity to develop and succeed. 

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Artificial intelligence, Blockchain, Cryptocurrencies and Data represent 4 amazingly powerful technological forces in the modern age. From an individual, organisational and societal perspective across the world – all 4 have had a massive impact.

However, what are they really all about when you strip away the fake news and hype? What is the real deal?

Vicky Byrom is an award-winning data leader and innovator with over 20 years’ experience delivering cutting-edge data and analytics projects across both the private and public sectors. 

Currently CDAO at Zumo, Vicky’s been awarded “Data Analytics Leader of the Year” by DataIQ for her work at Merkle Aquila and was also a member of the Scottish Government’s AI Strategy Steering Committee.   

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From personal, through team and departmental, to organizational – the importance of brand within the data sector has arguably never been more keenly felt than it is now. And with brand comes influence.

Utilising brand to influence in areas like talent acquisition, self-promotion, side hustles and gigs and general thought leadership and community activity is now a key component part of a data leader’s toolset.

Dr. Adam Sroka is founder and director at Hypercube Consulting, a firm that helps organisations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up. With over 10 years of experience in data science, machine learning, and artificial intelligence, Adam is a recognised expert and speaker in his field.

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Content Analytics is the practice of understanding exactly what content your organisation currently possesses, how effectively this content is being utilised and what influence this utilisation can have on your consumers or customer’s behaviour!

It’s all about “reading the trails” that are left behind by people (and systems!) as content is delivered, discovered, and consumed.

Megan Reutin is Global Head of Data Science & Strategy at Grunenthal Group. She’s an expert in Artificial Intelligence, social media, and Data Science. Twice Inspirational Woman of the Year finalist, she’s a bilingual thought leader who is a passionate advocate of inspiring future generations into technology and data careers.   

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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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Measurement in Data Science is a defining element of any proposed project.

What, why and how we measure can often be some of the major factors in determining the success or otherwise of the piece of work that is subsequently carried out.

The Measurement Mindset recognizes the critical importance of measurement and places it firmly alongside other factors such as domain expertise and communication skills as essential parts of a Data Scientist’s toolkit.

Indre Stanaityte, freelance data expert and entrepreneur, thrives on unravelling 'immeasurable' challenges, turning them into creative, impactful results.

Her journey, from poker enthusiast to business founder, is marked by significant project successes with brands such as Nissan, British Gas and Jaguar Land Rover and innovative approaches and solutions. 

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Impact in Data projects is the alpha and the omega. It’s the reason why the Data function exists in the first place and the factor that causes so many people to study and work so hard to enter the industry. However, it’s not all plain sailing. When data projects go wrong, it’s often because they fail to deliver the impact that their owners and sponsors have promised. Impact is tangible, measurable, and simple to recognise – and can be the difference between success and failure for a Data leader.

Dr Andrew McMahon is Head of MLOps for Data Innovation at Natwest, author of the recently published “Machine Learning Engineering with Python”, was awarded the title “Rising Star of the Year” at the 2022 British Data Awards and was the Data Science Foundation’s “Data Scientist of the Year” for 2019

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The Data industry traditionally encourages strong links between commercial organisations and academia.

From guest lecturing to internships to research posts and incubator spinouts, the lines between what can be two very separate and distinct communities in other industries seem to be blurring more and more every year.

However, there are some recognisable differences between the two domains.

Dr. Jasmina Lazic is Head of Research & Development at Bigtincan and former Chief Data Technologist at the Bayes Centre, University of Edinburgh.

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In this episode, we take a deeper dive into The Importance of Purpose in Work

Our research has found that, over the last few years, data professionals have increasingly started to think about why they do the jobs that they do.

If they can do the job that they want, for any company they choose, almost anywhere in the world, why stay at the one they are currently at — or what could potentially tempt them to look elsewhere?

Donne Burrows is Co-Founder & Chief Operating Officer of Engine B.

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In this episode we take a deeper dive into Diversity in the workplace.

As increased globalisation and remote working patterns have presented themselves because of recent societal events, opportunities for organisations to attract and retain a more diverse and inclusive data talent pool have never been better.

However, it remains to be seen whether some of the widespread gains in DE&I that the last two years have presented are a fundamental change in the data talent landscape or a temporary blip.

Elizabeth Hollinger is Director of Insights, Data and Applications Development at Aggreko.

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Globalisation has been a theme of data talent acquisition strategy for several years now.

However, events such as Brexit, pronounced local talent shortages and the societal impact of the recent pandemic have accelerated many organisations towards more widely adopting work from home, work from anywhere and remote/hybrid work combinations.

Stephen Garland is Chief Technology and Product Officer at Trustpilot

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The data talent landscape has changed forever over the last few years with the impact of globalisation, remote working and the increasing demand for scarce human resources.

These factors, and others, have caused a seismic shift in the ways in which organisations must structure their reward packages to both attract, and retain, data professionals.

Increasingly, elements beyond a competitive salary and flexible working pattern are required to secure access to the best data talent.

Scott Leishman is Global Head of People & Talent at Vector.AI, and a veteran tech and data reward specialist.

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