Tech & AI LIVE London Exclusive Q&A with Iain Brown from SAS

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Iain Brown, Head of Data Science at SAS
Technology Magazine sits down with Iain Brown, Head of Data Science at SAS, ahead of Tech & AI LIVE London on 14 and 15 May

The convergence of AI and cybersecurity has never been more critical. 

As businesses accelerate digital transformation, AI-driven innovations are reshaping industries, from automation and predictive analytics to ethical AI and quantum computing. 

Tech & AI LIVE London, in collaboration with Cyber LIVE London, provides a platform for industry leaders, technology pioneers and decision-makers to explore cutting-edge solutions, emerging trends and strategies to navigate the digital frontier.

Taking place on 14 and 15 May, secure your tickets to attend

Networking at Tech LIVE 2022

Meet Iain Brown, Head of Data Science at SAS

Iain Brown is the Head of Data Science for Northern Europe at SAS and an Adjunct Professor of Marketing Data Science at the University of Southampton.

He is the author of Mastering Marketing Data Science: A Comprehensive Guide for Today’s Marketers — which consolidated his knowledge in leveraging data science for effective marketing.

Iain is an experienced leader and speaker who is committed to shaping the future of innovation and data-driven strategies in data science education and application.

Iain Brown, Head of Data Science at SAS

What inspired you to get involved in the event?

As someone working at the intersection of AI, data science and enterprise strategy, I’m always looking for forums that bring together forward-thinking leaders to share ideas, challenge assumptions and inspire action. 

Tech & AI LIVE London does exactly that, it creates a platform for meaningful conversations that span industries, geographies and use cases. 

It’s also a great opportunity to highlight how emerging technologies like synthetic data are becoming essential enablers for scalable and responsible AI.

Provide an overview of what your keynote will focus on.

My keynote is titled The Future of AI Depends on Synthetic Data.

I’ll be discussing how synthetic data is helping organisations overcome barriers like data scarcity, privacy concerns and bias, all of which can stall AI innovation. 

I’ll explore real-world use cases and demonstrate why synthetic data isn’t just a technical solution, but a strategic imperative for enterprises seeking to operationalise AI at scale.

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What do you hope to achieve through the event?

Beyond sharing insights, I aim to spark new conversations around data readiness and the critical role it plays in the success of AI initiatives. 

Many organisations are racing to implement generative AI without first assessing their foundation, the data.

If I can leave the audience with a fresh perspective on how to approach that foundation differently, especially through tools like synthetic data, then I’ll consider it a win.

What emerging trends do you believe will shape the future of technology and AI over the next decade?

We’re at a pivotal moment where the shift from experimentation to execution with AI is accelerating.

Over the next decade, I believe four key trends will shape the landscape:

  1. Synthetic data is becoming foundational to AI development and regulatory compliance
  2. AI governance maturing as organisations confront risk, bias and accountability
  3. Agentic AI — systems that can make context-aware, goal-oriented decisions autonomously
  4. And the rise of AIOps – using AI to manage and optimise complex IT systems in real-time

Together, these trends will reshape how organisations innovate, operate and compete in an AI-driven world.

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