What we're about

AppliedAI is a conference, podcast, newsletter, and monthly meetup that develops Minnesota’s next generation of experts by educating citizens of all ages on the tools, processes, and applications that are needed to implement solutions that use Artificial Intelligence (AI). The organization runs regular events that involve training, learning, and sharing real-world projects where AI is applied to solve problems that impact our lives.

Additionally, we encourage you to subscribe to our Conversation On Applied AI Podcast. We publish new episodes every other week on topics related to Artificial Intelligence and its applications! We also publish a Monthly Newsletter with details on our current events and ways to engage with our community.

Applied AI transitioned from IoTFuse in February 2020. IoTFuse continues to run conferences around the metro area.

What is Artificial Intelligence
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

What is AppliedAI?

Simple. :) It's the real-world applications that these far-fetched, big ideas lead to. Some things around us that are applications of AI include digital assistants (Google Home, Alexa), self-driving cars, robots, chatbots and many many more!

Who should go AppliedAI Meetups?

This group is a place for anyone who is interesting in learning, sharing and applying Artificial Intelligence to their products and services. It's also for people of all ages just interested in what's going on in the AI space by networking and talking with real-world practitioners of this exciting and new technology.

What happens at AppliedAI Meetups?

• We have speakers and panelists talking about AI in real-world scenarios
• We do demos of AI related projects and explain how they work
• We discuss, where AI has been, where it is today and where it's heading in the future
• We have fun!

Where else can I find you?

Follow us on social media!
Facebook, LinkedIN and Twitter

We also have a podcast and YouTube page.

What are the colors of your logo?

They are derived from the color palette of a few of the first-ever AI-generated photos from Google’s Deep Learning tool.

Upcoming events (4+)

How Do Chess Engines Work? A Look at Applied AI/ML Principles

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If you're like the rest of the world, you played at least a few games of chess after binge-watching The Queen's Gambit. Beth Harmon didn't have powerful computers to help her train like we do today. Ever since Deep Blue famous defeated Gary Kasparov in 1997, chess engines have become a critical part of the game.

But how do chess engines work? Is it hard coded from a database of known moves, or is it learned through training? Could it be using both?

More importantly, what can you learn from chess engines? You should leave this session with an understanding of how modern chess engines work, a better understanding of how AI/ML can be applied to solve problems, and, with any luck, some ideas on how to use AI/ML in your daily work.

This month we have Nathan Loding to walk through with us his experience and what he's learned in building chess engines!

Nathan's Bio:

I'm a nerd, I've always been a geek, dork, or nerd, and probably will always be. I love solving problems and technology is the best way to do that. I work professionally as a Senior Developer Relations Engineer for Basis Theory, helping developers keep their data safe and compliant. On the side, I'm a husband, father, collector of hobbies, gardener, and outdoorsman (hiking, camping, canoeing/kayaking). I enjoy working analog, with my hands, whenever possible. I hate chores and cleaning up after myself.

AI in Healthcare: The Road Ahead

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This month we are thrilled to have a leader in AI and Healthcare, Ngan MacDonald presenting on how AI has been used and also will be used in Healthcare in the future!

AI has long been heralded as the solution to our broken healthcare system. Huge amounts of money have been poured into this space and yet there is not a lot to show for it. Why is AI so hard in healthcare? How can AI be used in healthcare?

Presenter: Ngan MacDonald

Ngan is the Chief of Data Operations at the Institute for Augmented Intelligence in Medicine, a 2022 Cohort Candidate for Women in Bio 3.8 Initiative, and a Healthcare Senior Advisor at McCormick BI.

She believes passionately that healthcare data needs to be liberated and used to enable better healthcare. We have enormous untapped opportunities in healthcare where we have an embarrassment of rich data that needs to be connected and made available to patients and their caregivers.

Addressing the High Failure Rate of AI & ML Projects - Examples From the Field

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Despite the rapid evolution of AI, projects still fail at a disappointingly high rate. In the past, capturing data at scale and building models was the challenge, but today we're confronted with the issue of making AI more robust while avoiding the risk of unintended consequences. While the tools are new, many challenges remain the same. In this talk, I will share real-world stories and applied examples that demonstrate:

  • How to build the business case for an AI project (and get buy-in)
  • Navigating AI project management to prevent failure
  • How to mitigate the risks of unintended consequences from using AI

Our presenter this month is Cal Al-Dhubaib. Cal is a data scientist and entrepreneur, with an emphasis on designing and building trustworthy AI. He empowers organizations to launch data science initiatives that grow the bottom line. He is especially passionate about the ethics of AI and how organizations can build the right talent to support AI initiatives.

Cal has received awards at both the national and international levels for his work in predictive modeling and entrepreneurship and has been listed on Crain's Cleveland 20 in their 20s and Cleveland Smart 50.

What AI Technologists Need to Know About Everyone Else

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In the midst of implementing the latest AI technology, it can be easy to miss how lay people react to this. Spoiler alert: Confusion and anxiety. How do you curate their experience while you're heading full-tilt toward this brave new AI future?

Join our speaker Peter Scott, as we explore some of the many things technologies need to consider as they implement Artificial Intelligence.

Peter is the author of "Crisis of Control: How Artificial SuperIntelligences May Destroy or Save the Human Race" (Nitrosyncretic Press, 2017) about the existential risk that humanity faces from exponentially advancing technology. He is a certified coach (International Coaching Federation) and focuses on coaching organizations and individuals to prepare for radical change.

He also has many years of IT expertise in enterprise architecture, business solution consulting, system engineering, and systems analysis, and has written several instructional books and videos.

You can find more about Peter at: https://humancusp.com/

Past events (131)

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