Dynamics Matters Podcast Ep 112: Beyond the hype of AI, towards everyday technology impact
With special guest Andrew Welch, CTO of Cloud Services, HSO.
In this episode we discuss:
✔ How to break the walls to adopting AI
✔ Where a data-driven ecosystem fits
✔ 4 actionable take aways to get started with AI
The technology side of scaling Artificial Intelligence
The buzzword "AI" echoes across industries, promising a future of automation and optimisation. But how do we navigate the chasm between this potential and everyday reality? This is where scaling AI comes in, and it's not just about fancy tech – it's about a human-centered transformation.
Breaking down the walls to AI adoption
Imagine an organisation trapped in a "Tower of Babel," where isolated teams hoard technology and data like precious jewels. This siloed approach stifles AI adoption. The solution? Ecosystem-oriented architecture, a philosophy that dismantles these walls. Teams collaborate, data becomes a shared resource, and AI thrives on this fertile ground.
Empowering the human touch
Forget the sci-fi trope of AI replacing us. The true power lies in humans and AI working together. Tools like Microsoft's Copilot Studio and Power Platform democratise AI, putting its power into the hands of everyday users. Imagine building custom AI solutions to streamline workflows, analyse data, and solve problems – all without needing a Ph.D. in machine learning.
Building a data-driven ecosystem
The foundation of this AI-powered future is data. Microsoft's fabric technology acts as a data whisperer, seamlessly stitching together information from disparate sources, legacy systems included. This unified data lake becomes the fuel for AI applications, powering intelligent solutions across the organisation.
How to make your new Microsoft project a guaranteed success
In 10 minutes, this brochure shows you how to launch projects in the quickest possible time, resolve mistakes and mishaps, and keep your ongoing costs to the barest minimum.
The long Game: technology mindset shift, not revolution
Scaling AI isn't about ripping everything down and starting anew. It's about evolving our mindset. We need to embrace data as a strategic asset, not just a digital footnote. We need to prioritise collaboration over competition, building bridges between teams and technologies.
From AI hype to impact
The journey to AI-powered success isn't paved with quick fixes or magic spells. It's a marathon, one where every step matters. By investing in tools like fabric and low-code platforms, fostering collaboration, and embracing a data-centric mindset, organisations can unlock the true potential of AI – not just for the "big problems," but for everyday tasks, individual empowerment, and a future where humans and AI work together to make the impossible, possible.
Ready to scale your AI journey? Here are some actionable takeaways:
The future of AI isn't about replacing us – it's about augmenting us. By embracing a human-centered approach to scaling AI, we can unlock a future where technology empowers us to solve problems, create solutions, and build a better tomorrow, together.
Listen to more episodes from our AI series
With special guest Andrew Welch, CTO of Cloud Services, HSO. We discuss: ✔ The definition of AI ✔ Why there is no AI without data ✔ The rise of commercial AI
With special guest Andrew Welch, CTO of Cloud Services, HSO. In this, the third episode in our special 5 pillars of successful AI adoption series, we discuss: ✔ What Incremental AI is ✔ How it replaces mundane human busywork ✔ How to activate it across your Microsoft technology
With special guest Andrew Welch, CTO of Cloud Services, HSO. In this, the forth episode in our special 5 pillars of successful AI adoption series, we discuss: ✔ What Differential AI is ✔ Unshackling yourself from conventional AI thinking ✔ How to get the balance right in your AI portfolio
With special guest Andrew Welch, CTO of Cloud Services, HSO. In this, the fifth episode in our special 5 pillars of successful AI adoption series, we discuss: ✔ What Scaling AI is ✔ Why change management is key to AI success ✔ Why siloed thinking can doom your AI ambition
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