Forget the AI, and focus on value – if organizations start designing solutions with AI in mind, then they’re focused on the wrong thing. Instead, organizations need to simply focus on finding the best solution to business problems and if AI happens to be that, then so be it.
The best AI is invisible – organizations adopting AI-enabled capabilities needn’t be explicit about it. Their focus should only be on solving the problem. For example, Gmail users would remember the autocomplete capability. As you type, Gmail recommends the next few words and it’s pretty useful. But Gmail doesn’t push that solution as an “AI-enabled capability” by branding it with a bot.
Instead, it slips it into the solution and the unsuspecting end user would never know it’s AI.
Market the solution, not the AI – your end-users don’t care if it’s AI-enabled or machine-learning-driven. All they care about is a solution to their problem.
When you communicate to your end-users, be sure to focus on the solution and how it helps them rather than how you’ve solved it. Organizations should definitely talk about their technology stack but not to the end users.
Market the solution, not the #AI, says @yenceesanjeev. End users don’t care if something is AI-enabled or machine-learning-driven. They only care that there’s a solution to their problem.
Artificial Intelligence is alluring. It looks like magic and can be Pandora’s box.
I suggest you go beyond treating AI as one more technology you can just immediately plug into your organization (it’s albeit more like a varied set of interrelated technologies). Don’t forget you also need to onboard the right people, information, and partners. Start with understanding AI, then find a realistic project for and with your organization.
For executives looking to embrace AI, the first thing to do is make sure AI gets the resources and mindshare that other strategic initiatives have. And when we talk about resources, it’s not the technology – it’s the work that goes in beforehand, for example, making sure business data is the correct quantity and quality. And perhaps more importantly, building a team that can scale-up sustainable AI initiatives – with the training to spot significant issues like bias and misleading outputs. AI will have a massive impact on the modern world, and it’s down to leadership teams to make sure they’re approaching it with the resources and focus it needs to get it right.
For execs looking to embrace #AI, the first thing to do is make sure AI gets the resources and mindshare that other strategic initiatives have. And when we talk resources, it's not the technology, says @Originollie…