She Writes Change

The right 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐬𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭 gets funding, alignment and traction, and AI can help you write it in hours, not weeks.

Like any technology, AI comes with it's own set of risks, from emergence of unexpected capabilities, hallucinations, creative interpretations to unexpected real-world behaviours. 

Navigating AI Adoption: What's your biggest challenge and how do you solve it? Trying to harness AI can feel overwhelming. It's complicated and it's not SaaS, there are key challenges that need to be faced. From decision paralysis and a lack of skills to trying to grapple with infrastructure, ethics, data, security and change management.

If you're about to start leading AI transformation, or AI projects, or even sponsoring AI projects, then this is great tick list to get you started.

First, clearly define the specific business challenge you're facing. AI is most effective when applied to well-defined problems.

Deciding on the best projects to deliver business value is never easy and that's no different for AI projects.

𝐇𝐨𝐰 𝐭𝐨 𝐫𝐞𝐚𝐥𝐥𝐲 𝐰𝐢𝐧 𝐰𝐢𝐭𝐡 𝐀𝐈. Replacing humans isn't the answer. Making people more capable, creative and productive with the use of AI is.

BUT what I've learnt through my AI journey is that traditional business cases don't fit the realities of AI projects. 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐀𝐈 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐚𝐬𝐞𝐬 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭? 𝐀𝐈 𝐯𝐚𝐥𝐮𝐞 𝐞𝐦𝐞𝐫𝐠𝐞𝐬 𝐨𝐯𝐞𝐫 𝐭𝐢𝐦𝐞