![]() Pro-Tip: Don’t forget about Augmented Intelligence - you don’t have to always build fully autonomous systems. (I’m sure there are many more you can think of!) What are examples of artificial intelligence that people are already using? Here are a few of my favorites: song recommendations on Spotify or Pandora, banks detecting anomalies in behavior and spending patterns, Siri and Alexa voice commands, Chatbots for automated conversations, Uber’s ETA for rides, and Facebook auto-tagging photos. All machine learning is AI, but not all AI is machine learning. To simplify the discussion, think of AI as the broader goal of autonomous machine intelligence, and machine learning as the specific scientific methods currently in vogue for building AI. With all the excitement and hype about AI that’s “just around the corner” - self-driving cars, instant machine translation, etc. - it can be difficult to see how AI is affecting the lives of regular people from moment to moment. Instead, talk about a few things that AI can do for us, while making sure you don’t get into the weeds around solutions or algorithms. Given the fuzziness around the space and a general lack of understanding, try to avoid jargon. (As you’re likely aware, we haven’t achieved Artificial General Intelligence, or something akin to a sentient being.) As most commonly used, AI refers to a broad range of intelligent algorithms and mathematical approaches to problem-solving. There’s a lot of confusion around the term AI. If you’ve done some research into analogous inspiration, share these finding now. Share a few stories around what is possible with AI. To get started, it is important to set some context. For larger groups, consider “1–2–4–all.” Running the workshop Setup the conversation Two of my favorites are “ Note and Vote” and “ 1–2–4-all.” I recommend “Note and Vote” for groups of 10 or less. Some tools are better suited for smaller groups and others for larger groups. Lastly, decide what style of decision-making is best for your group. You may want to consider doing a quick stakeholder mapping exercise to identify anyone who should be there. Who should be thereīased on what you’ve learned, make sure all the stakeholders are in the room for the workshop. Are there any existing AI solutions in the space or adjacent to the problem? These analogous problems and solutions are extremely inspiring and will be helpful when you kick off the workshop. It’s also helpful to do a bit of research around the problem space. ![]() This will allow you to double check the attendees and make sure that you’ve got the requisite diversity. Don’t drill in so much that you could fill in the worksheet for them, but you want to understand the general direction they are headed. The current stateįirst, make sure you’ve done some upfront research into where the team is headed and what they’ve already done. But, in addition to my standard recommendations, there are a few specifics to consider. I’ve written extensively about planning workshops, so definitely check out some of those articles. Planning Your AI Readiness Workshopįor this Canvas to “work,” you have to workshop it! Set aside the time to get the right stakeholders in the room together. Before you do, I recommend that you read the instructions below so you know how to incorporate it into a productive working session. You can download the AI Readiness Canvas here. (Never fear, though, I’ve removed AI jargon to make it accessible to anyone in the organization.) The intention is that cross-functional teams use this worksheet in a structured workshop to have a time-boxed conversation that allows them to align their thinking and make rapid decisions. ![]() Our AI Readiness Canvas is based on a basic canvas model but includes AI and Machine Learning criteria as well as business sections. My goal was to build a tool that would allow teams to discover genuine opportunities and to move forward quickly, without endless debate and circular conversations.įor those who are new to the concept, a canvas is essentially a strategic worksheet. Often there is a real need underneath the excitement. But, just because there is some overexcitement around AI, doesn’t mean it is completely unwarranted. Sometimes, I leave these moments feeling like I’ve just witnessed something I call “technology FOMO.” No one wants to be left behind if they don’t jump on the AI bandwagon. My AI Readiness Canvas and Workshop was inspired by the many conversations I’ve had with CEOs who are excited about the potential of AI. A strategic worksheet that helps teams move from FOMO to results.
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