In this episode of A Class Act, Michael Young sits down with Stuart McMeechan, EMEA Deployment Engineering Leader at OpenAI. 

Stuart leads the team that OpenAI sends into the biggest enterprises in Europe to help them get AI into production and he’s seen first-hand why most never make it past the pilot.

In this conversation, they get into👇

☑️ What OpenAI’s AI deployment engineering team actually does and the two objectives behind every project
☑️ The three types of customer OpenAI works with
☑️ The difference between organisations actually scaling enterprise AI versus those staying stuck in experimentation
☑️ What’s really blocking the move from pilot to production (most of it isn’t technical)
☑️ What separates organisations genuinely ready for AI from those just experimenting
☑️ The culture changes required to make AI implementation actually work and how to find the “wizards” already driving AI inside your teams
☑️ Where humans stay irreplaceable, and how roles are already being redrawn
☑️ Is AI moving faster than organisations can adapt?
☑️ Why OpenAI’s release cadence went from 15 months to six weeks and what that means for planning

Guest Information👇

Stuart McMeechan is EMEA Deployment Engineering Leader at OpenAI, where he leads a team of AI architects and engineers helping Europe’s largest enterprises adopt AI at scale. His team works directly with organisations to define AI strategy, design target architectures, build implementation approaches, and develop evaluation frameworks - turning OpenAI’s capabilities into real business impact.

Connect with Stuart McMeechan on LinkedIn:
https://www.linkedin.com/in/stuartmcmeechan/

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

About Your Host👇

Michael Young is the Founder & CEO of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Connect with MBN Solutions👇

If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at MBN partners with organisations to build data and AI teams that actually deliver. Visit MBN Solutions website at www.mbnsolutions.com

MBN Solutions on LinkedIn – Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here: linkedin.com/company/mbn-recruitment-solutions

For questions, guest recommendations, or to connect:
Email: [email protected]

Subscribe & Follow👇

Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

In this episode of A Class Act, Michael sits down with Andy McMahon, Director of AI & MLOps Engineering at Barclays, Oxford lecturer, and author of Machine Learning Engineering with Python.

Andy went from a physics PhD at Imperial College to leading AI engineering at one of the world’s largest banks, and he’s got a sharp take on why most AI never makes it out of the demo.

In this conversation, they get into⬇️ 

✔️Why the gap between AI that demos well and AI that works in production has never been wider
✔️The 'trust infrastructure' most teams skip and why Andy calls them zero-regret investments
✔️What changed when AI engineering replaced MLOps as the paradigm and what stayed exactly the same
✔️How to spot genuinely good AI talent
✔️Why imposter syndrome is a signal you're in the right place
✔️The shift from data science to AI engineering and what that means for hiring and team structure
✔️Andy's take on what people are getting wrong about AI right now
✔️Responsible AI in practice: how to make it real and not a tick-box exercise
✔️Building a career portfolio that outlasts any single role

Guest Information

Andy McMahon is Director of AI & MLOps Engineering at Barclays, where he leads teams building production-grade AI systems across the bank. He holds a PhD in theoretical physics from Imperial College London and is the author of Machine Learning Engineering with Python (Packt), now writing the third edition — a rewrite shifting focus from MLOps to AI engineering. Andy lectures at the University of Oxford, has been named one of Computing Magazine's Top 100 Leaders in IT (2026), and co-writes Forward Deploy, a Substack on practical AI engineering with Matthew Higgs.

Connect with Andy McMahon on LinkedIn:
https://www.linkedin.com/in/andy-mcmahon/

Read Forward Deploy on Substack:
Forward Deploy Substack

Paper mentioned: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6843118

Podcast - https://linktr.ee/airightpodcast

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

About Your Host

Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Subscribe & Follow
Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

Connect with MBN Solutions
If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at MBN partners with organisations to build data and AI teams that actually deliver.

MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Visit the company page here: linkedin.com/company/mbn-recruitment-solutions

For questions, guest recommendations, or to connect:
Email: [email protected]
Visit MBN Solutions website at www.mbnsolutions.com

If you run a data team, you already know that the hardest part of being a great data leader isn’t always the technology.

In this episode of A Class Act, host Michael Young chats with Asia Faulds, Head of Data Science at Booksy. 

Asia has built data science teams from the ground up at the BBC, Trustpilot, and now Booksy, and she’s seen first-hand why brilliant technical teams still fail when prioritisation breaks down.

In this conversation, they get into:

• Why most data teams don’t fail technically
• What it’s actually like building a data science function from zero at Booksy
• How Gen AI has expanded the scope of the data science role and what hasn’t changed
• Why producing 200 dashboards instead of 2 doesn’t mean your team is more productive
• The difference between activity and progress, and how to tell which one your team is doing
• Why sometimes a well-written SQL script beats a neural network
• How to protect your team’s energy and focus as a data leader
• The one thing Asia says every listener should do this week

Asia Faulds is Head of Data Science at Booksy, the two-sided marketplace connecting beauty and wellness providers with consumers. She’s building the company’s first data science and applied AI function from scratch, defining the strategy, hiring the team, and establishing ML infrastructure.

Before Booksy, Asia spent five years at Trustpilot, progressing from individual contributor to management across product and go-to-market data science. Before that, she built recommendation engines for BBC Sounds at the BBC. She holds a Master’s in Physics from the University of Edinburgh and writes The Data Pragmatist on Medium.

Connect with Asia Faulds on LinkedIn:

https://www.linkedin.com/in/asia-data/

Read The Data Pragmatist on Medium:

medium.com/@thedatapragmatist

Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at MBN partners with organisations to build data and AI teams that actually deliver.

MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here.

For questions, guest recommendations, or to connect:

Email: [email protected]

Visit MBN Solutions website at www.mbnsolutions.com

In this episode of A Class Act, Michael chats with Stu Kennedy, an Edge, Realtime & AI Systems Consultant, core HTMX contributor, and former film composer who worked alongside David Arnold on the Chronicles of Narnia and BBC’s Sherlock. 

Today, Stu builds real-time voice AI pipelines, contributes to the WebSocket layer in HTMX 4, and has helped companies like Anam and Pyannote push the boundaries of streaming diarisation and video avatars. 

In this conversation, they get into:

✔ How a career in maths, music, and film led to building production voice AI systems

✔ Why voice AI is fundamentally an audio problem before it’s an ML one

✔ Why platforms like VAPI, OpenAI Realtime, and others break outside demo

✔ How Stu cut ASR latency from two seconds to 350 milliseconds 

✔ Why a single senior engineer with the right tools can now outship a six-month procurement cycle

✔ LLMs and the parallels between constraining a model and constraining an orchestra

✔ An experiment where professional composers couldn’t tell a real orchestral recording from a fake one and what that really means for AI adoption

✔ A real benchmark for production readiness

Guest Information

Stu Kennedy is an Edge, Realtime & AI Systems Consultant specialising in Cloudflare-native, real-time, and AI-driven platforms. He has spent 25 years at the intersection of mathematics, music, and software, from a PhD in fluid mechanics and chaos theory to composing for film alongside David Arnold (James Bond, Narnia, Sherlock), to building music technology platforms, and now engineering production voice AI pipelines. 

He is a core contributor to HTMX, building the WebSocket implementation for HTMX 4, and has worked with companies including Anam (real-time video avatars) and Pyannote (streaming diarization). Stu has also built products including Callwell, a real-time AI sales call assistant, and Medascend, an AI-powered medical training platform built with students from Dundee University. He operates via his Ltd company on scoped, outcome-based engagements.

Connect with Stu Kennedy on LinkedIn:

https://www.linkedin.com/in/stu-kennedy/

Website: https://stukennedy.com

Also built: html.surf

About Your Host

Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

Subscribe & Follow

Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

Connect with MBN Solutions

If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at MBN partners with organisations to build data and AI teams that actually deliver.

MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here.

For questions, guest recommendations, or to connect:

Email: [email protected]

Visit MBN Solutions website at www.mbnsolutions.com

If 99% of executives say their AI rollout isn’t mature, so what’s actually going wrong?

In this episode of A Class Act, Michael chats with Natalia Konstantinova, Lead Enterprise Architect in AI at NatWest Group. Natalia holds a PhD in Computational Linguistics and has spent her career at the intersection of AI research and enterprise delivery, including leading AI strategy at BP before joining NatWest.

In this conversation, they get into👇

✔ Why only 1% of executives describe their AI rollout as mature

✔ Natalia’s four pillars of AI adoption

✔ Why governance is critical and what good governance actually looks like

✔ Why less than one in five organisations are tracking KPIs for their AI solutions and what to measure instead

✔ The biggest barriers to AI adoption and why they’re not technical

✔ What good AI leadership actually looks like and hiring challenges leaders face

✔ Why hiring one person and expecting them to solve everything doesn’t work

✔ One concrete action a leader should take this week

Guest Information👇

Natalia Konstantinova is a Lead Enterprise Architect in AI at NatWest Group. She holds a PhD in Computational Linguistics from the Research Institute in Information and Language Processing (RIILP) and brings deep expertise across NLP, machine translation, information extraction, dialogue systems, and data analytics. 

Connect with Natalia Konstantinova on LinkedIn:

https://www.linkedin.com/in/nkonst/

About Your Host👇

Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

Subscribe & Follow👇

Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

Connect with MBN Solutions

If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at MBN partners with organisations to build data and AI teams that actually deliver.

MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership

For questions, guest recommendations, or to connect:

Email: [email protected]

Visit MBN Solutions website at www.mbnsolutions.com

Nina Habicht has been building AI since 2011 and is one of Switzerland's Top 100 Women in Data and AI.

In this conversation with Michael of MBN Solutions, she's direct about what she actually thinks about why so much AI being built right now feels disposable, why the funding bubble is coming even if the technology bubble isn't and why generalist AI startups don't have an easy road ahead.

In this episode, Nina shares:

• Why so much AI being built right now feels easy to copy and hard to defend
• Why she believes the funding bubble may come before any technology bubble
• What she would avoid building today, even if it looks popular or fundable
• Why domain depth matters more than generic AI capability
• What founders should stop doing if they feel overwhelmed by the speed of AI change
• Why under-digitised, less fashionable sectors may hold the biggest opportunity
• The new AI roles she believes are coming next from agent controllers to ethical AI leadership

Guest information

Nina Habicht is the Founder and CEO of dreamleap, an Agentic AI tech company with AI consultancy and an own training academy based in Zurich, and one of Switzerland’s Top 100 Women in Data and AI.

Across her career, she has built AI systems into production in multiple industries, including one of the first voice assistants for the Swiss federal train system and Swisscom.

Dreamleap is her third venture, starting as a training business and evolving into both a training and technology company. Today, the company trains around four companies a week, employs 12 people, and is based in Zurich.

Connect with Nina Habicht on LinkedIn: https://www.linkedin.com/in/nina-habicht-%F0%9F%AA%84%F0%9F%91%80-b840a553/

Connect with dreamleap: (1) dreamleap: Übersicht | LinkedIn

Visit dreamleap Agentic Factory: www.dreamleap.com

Visit dreamleap’s Applied Academy: www.voicetechhub.com (powered by dreamleap)

About Your Host

Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

Subscribe & Follow: Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

Connect with MBN Solutions:

If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at NBN partners with organisations to build data and AI teams that actually deliver.

MBN Solutions on LinkedIn: Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here: https://www.linkedin.com/company/mbn-recruitment-solutions

For questions, guest recommendations, or to connect:
Email: [email protected]

Visit MBN Solutions website at www.mbnsolutions.com

AI is moving fast. Most organisations are trying to keep up.

But the real question isn’t “should we use it?” anymore, it’s whether you can deploy it without creating risks you can’t explain later.

In this episode, Michael Young is joined by Jeff Watkins (former CTO, fractional Chief AI Officer / advisor) to get specific about what “responsible AI” looks like in practice.

Michael asks Jeff:

• What does responsible AI look like day-to-day as a way teams make decisions, not a set of statements?
• Where do you draw red lines (what you won’t do with AI) and who has the authority to stop a deployment?
• How do you triage Gen AI use cases using a simple risk-tier approach (green/amber/red) so governance supports delivery?
• What does evidence actually look like and how do you prove controls are working in real operations?
• When AI causes harm, who owns the decision and what does accountability mean in practice?
  
  

Guest information

Jeff Watkins is a CTO and AI strategist with 25+ years of experience leading digital and AI transformation. Former CTO at CreateFuture, he led AI Enablement and now advises boards and delivery teams on secure, responsible GenAI, where AI, security, governance, and culture collide.

Connect with Jeff Watkins on LinkedIn: 

https://www.linkedin.com/in/jeff-watkins-cto/

About Your Host: 

Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

Subscribe & Follow: Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

Connect with MBN Solutions:

If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at NBN partners with organisations to build data and AI teams that actually deliver.

MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here.

Visit MBN Solutions website at www.mbnsolutions.com

What’s actually happening with LLMs in 2026 and what does it mean for business leaders?

In this episode of A Class Act, Michael is joined by Richard Bownes, Head of AI Solutions at Vector8, for a discussion on how large language models are evolving and why the biggest shift isn’t capability, but consistency, reliability, and system design.

Rather than chasing the next capability jump, Richard explains why we’re seeing a slowdown in headline performance gains alongside an improvement in consistency and reliability.

In this conversation, Richard shares:

• What's really happening with LLM development right now in 2026
• Why the enterprise production lens matters: the trade-off between brilliant but unstable outputs and reliable, predictable systems.
• Richard’s practical map of the stack: naked LLM calls → workflows → tool calling → MCP servers → agent skills (and what each step is designed to solve)
• “Stateful” AI explained clearly
• The organisational gap Richard flags as adoption scales that leaders must be aware of right now

Guest information

Richard Bownes is Head of AI Solutions at Vector8, where he helps organisations design and deploy practical AI systems that move beyond experimentation into real-world business impact. He’s worked across public and private sector environments, bridging strategy, delivery, and real-world implementation. His experience spans Voice AI systems, applied NLP, and the ethical considerations that come with deploying machine learning at scale.

Connect with Richard Bownes on LinkedIn: 

https://www.linkedin.com/in/rjbownes/

About Your Host:  Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

Subscribe & Follow: Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

Connect with MBN Solutions:

If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at NBN partners with organisations to build data and AI teams that actually deliver.

MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here : https://www.linkedin.com/company/mbn-recruitment-solutions

For questions, guest recommendations, or to connect:
Email: [email protected]

Visit MBN Solutions website at www.mbnsolutions.com

What if you could sit down with the Head of AI inside one of the UK’s most regulated digital banks and hear the truth about what actually works and what leaders need to get right?

That’s exactly what we explore in this episode of A Class Act.

Shannon is joined by Dr. Russell Collingham, Head of AI & Data Science at Atom Bank, and one of the most experienced AI leaders in UK financial services.

Russell has worked in AI since the 1990s. 

He began his career as a lecturer and researcher in AI at Durham University, before moving into industry where he led engineering teams, served as AI Practice Lead at Hedgehog Lab, and now guides AI strategy inside a live, highly regulated banking environment.

In this conversation, Russell shares:

• How Atom Bank is using AI to automate back-office processes and remove manual, repetitive work
• Why AI adoption must start in “safe spaces” before becoming customer-facing
• The real risks of generative AI in regulated environments
• Why enterprise AI success depends more on operating models, governance, and people than on tools
• How the role of an “AI Champion” accelerated adoption across the organisation
• What the future of AI in banking could look like from embedded systems to personalised financial education

If you’re a CEO or responsible for shaping AI strategy where reputation, risk, and trust matter, this episode offers practical insight into what enterprise AI really looks like in practice.

Guest information

Dr. Russell Collingham is Head of AI & Data Science at Atom Bank and one of the most experienced AI leaders in UK financial services. He has worked in artificial intelligence since the 1990s, spanning academia and industry, and now leads AI strategy inside a highly regulated digital banking environment.

Connect with Russell Collingham on LinkedIn: https://www.linkedin.com/in/russellcollingham/

About Your Host

Shannon McKechnie is the Managing Director at MBN Solutions - the Data and AI talent experts, and a passionate advocate for building exceptional teams and authentic leadership. As co-host of A Class Act: Conversations in Data & Leadership, Shannon brings a grounded, people-first perspective to leadership ,exploring how trust, alignment, and shared success drive high-performing teams in today’s complex landscape.

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

Subscribe & Follow: Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

Connect with MBN Solutions:

If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at NBN partners with organisations to build data and AI teams that actually deliver.

MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here.

For questions, guest recommendations, or to connect:
Email: [email protected]

Visit MBN Solutions website at www.mbnsolutions.com

In this episode of A Class Act, Michael Young, CEO of MBN Solutions speaks with Andre Balleyguier, AI Solutions Leader at Snorkel AI, formerly at DataRobot, and recognised by DataIQ as one of the UK’s most influential figures in data and AI.

Andre has spent around fifteen years working with data and more than a decade in applied  AI.  Today, he leads global AI solutions engineering at Snorkel AI, helping major organisations deliver end-to-end applied AI systems using technologies such as agents and retrieval-augmented generation. 

Across the episode, Michael and Andre explore what it really takes to hire and build AI teams that work in practice and what leaders should pay attention to if they want AI systems that are trusted, adopted and production-grade.

You’ll hear:

• How Andre moved from engineering, maths and finance into early applied AI and machine learning.
• What it was like joining DataRobot at Series A, becoming the first technical hire in EMEA and then growing the technical organisation
• The biggest lesson he learned the hard way about building applied AI teams
• How the AI landscape has shifted from classic machine learning and “big data” to today’s GenAI and agent-based systems
• Why Andre is cautious about generic AI agents and what to focus on instead
• How a telco’s GenAI billing assistant went from roughly 54% to about 95% correct 
• The ICCE hiring framework he uses and why he now refuses to compromise on coachability and character, even for very strong technical candidates.
• Practical guidance for data, digital and AI leaders on where to focus over the next few years

Guest information

Connect with Andre Balleyguier on LinkedIn: https://www.linkedin.com/in/aballeyguier/?locale=en_US

Learn more about Snorkel AI: snorkel.ai

About Your Host:  Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership.

Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.

Subscribe & Follow: Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership.

Connect with MBN Solutions:

MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here.

For questions, guest recommendations, or to connect:
Email: [email protected]

Visit MBN Solutions website at www.mbnsolutions.com