How to capitalise on Generative AI

You've heard the hype. Now get stuck in.

Date:
May 12, 2024

There's no lack of noise about Generative AI in the news, in the boardroom and at the dinner table. When we chat with executives and enterprise teams looking to adopt this technology, we often find that emergent, barely understood nature of its true capabilities, combined with amount of advice and content out there about what to do with it, can lead to confusion and paralysis.  

In our experience across a range of projects, products and sectors, we've found some common principles that are useful to keep front of mind as you approach planning and scoping Generative AI initiatives:

Dive in, with a business-driven mindset.

Organisations must take a dual approach to experimentation. One, focused on "low-hanging fruit" opportunities using consumable models and applications to realise quick returns. The other, focused on reinvention of business using models that are customised with the organisation's data. A business-driven mindset is key to define, and successfully deliver on, the business case.

Take a people-first approach.

Focus on people as much as on technology, ramping up talent investments to address both creating AI and using AI. This means developing technical competencies like AI engineering and enterprise architecture and training people across the organisation to work effectively with AI-infused processes. Given the topical nature of AI, we tend to find a very wide range of knowledge levels and opinions when it comes to integration of AI into the workplace. It's super important to bring people along for the journey, educating and inspiring as you go.

Get your proprietary data ready.

Foundation models need vast amounts of curated data to learn and that makes solving the data challenge an urgent priority for every business. Take a strategic and disciplined approach to acquiring, refining, safeguarding and deploying data. Ensure the organisation has a modern enterprise data platform built on cloud with a trusted, reusable set of data products.

We've learned a lot by helping teams and organisations work through exciting opportunities in the space. Get in touch if you'd like to hear more.

Dave