If you’re like most line-of-business or IT leaders, you probably hear a lot about machine learning and AI. You know they’ll eventually have a huge impact on your company, your job, and even your personal life, but you’re not sure exactly what all the buzz is about.
You’d like to better understand this stuff, and you know deep down having a solid grasp of it would be good for your career, but who has time for online classes, reviewing college calculus and linear algebra, and coding up algorithms? After all, you want to drive the car, not build it.
That’s where the AI Summit comes in. Think of it as a two-day technology + strategy MBA in AI, presented by me and a cadre of experts, some of which you’ve previously heard from on the podcast.
Our no-fluff agenda will cover:
- How machine learning and deep learning work (no math required)
- How to identify machine learning and deep learning opportunities in your organization
- How to understand and take advantage of technologies like computer vision and natural language processing
- How to manage and label data to take advantage of ML and AI
- And how to build an AI-first culture, and operationalize AI in your business.
A few logistical notes:
- Registration is done via the Interop ITX web site.
- There is a pricing page, but I’ve seen instances where the pricing doesn’t load. Try refreshing or a different browser if it doesn’t come up. (I know. Sorry.)
- Be sure to enter the discount code CHARRINGTON for 20% off.
- You’ll need a “Summits & Workshops” or “All Access” pass in order to attend this event.
Don’t hesitate to contact me with any content or logistical questions.
Sam
Frequently Asked Questions
I’ll be adding to this list as I field questions about the event:
Q: The event is expensive.
A: That’s not a question, but I get it. Yes, it is pricey. Perhaps one day I’ll do a totally standalone event, i.e. without the overhead of a large conference like Interop, but for now it’s a nice synergy as I just need to worry about content and they take care of logistics (including setting pricing).
I think if there’s a good fit, though, you’ll get great value out of the session, and I’ve tried to be clear on who we’re targeting and what the goals are, and I’m happy to answer any further questions you have!
Q: I’m not an “executive.” Is this event for me?
A: By “executive” I mostly mean “not a practitioner.” My goal isn’t to teach people how to build ML and AI applications, but rather to help them understand how they’re built, what they’re currently capable of, and what the surrounding issues are. We’ll go into a fair amount of detail in a few of the areas that I think are important for those that hope to guide or impact organizational development in this area. The sessions will be technical, but not math or code oriented.
