WATCH: AI disruption- Seeing past AI hyperbole to true AI promise.
AI LIVE EMEA On-DEMAND VIDEO SESSION
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The professor dives into AI’s history, present and promising future. He rediscovers his childhood mindset around robotics expressing regret about the fact that we haven’t achieved what we intended- and worse, we’ve reached a peak in a hype cycle which doesn’t help us achieve that intended outcome of the intelligent automation journey.
12 select key takeways
- Realize that data is everything. AI is the ability to analyze data and to use it more
- Your current data is mostly garbage
- Conceive of a strategy for creating more meaningful data and then being able to analyze your data better
- Your job is to create a vision for how this data could be used more effectively. By creating that vision- your start understanding what other data you could accumulate.
- Figure out what your people are doing right now, what the departments are doing and how they could do it better if they had more information.
- Know thy data. Okay, that's the commandment. Know thy data and then figure out how to use it.
- Don't believe the BS that other people have figured this out, that they're smarter than you are- no one is smarter than you are because this is an evolving field
- Always hire geeks and nerds, the programmers- kids out of school who can do the coding and again.
- Realize that the tools will be evolving over the next two or three years.
- The technical limitation tasks will get easier and easier, but the understanding of the data is what is going to be the hardest. This is why you want to have good data scientists who can work with you and who can work with their users to be the bridge to the future.
- Articulate the vision, explain to your stakeholders where AI is, where AI isn't and tell them that a lot of what people are telling them is BS. But, that doesn't mean that there will always be BS.
- The technology is evolving and you have to explain technology to your people in simple terms. Educate them on exactly what is and what isn't and then give them a vision for what's possible.
