What we're about

AppliedAI is a conference, podcast, newsletter, YouTube channel, 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+)

Data Platform Preparation In Azure for AI

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Data in this day and age is a commodity for which we can apply any number of applications. Accessing this data can be as simple as attaching a notebook, a visualization tool, or other applicable applications. However, what happens when the data is extensive, the sources are numerous, questionable integrity, or the available resource are limited? This session will dive into how you can create a solid foundation using basic data engineering techniques on the Microsoft Azure platform, providing guidelines around automation, how to streamline cost, and handle the volume.

George Bryant is a partner at Fulton Analytics. Fulton Analytics is a Minnesota-based data analytics strategy and consulting company committed to delivering data success. Their Data Success Framework aligns people, processes, and technology toward agile data transformation. George has a passion for soccer as well, being a head coach for a number of teams around the Twin Cities.

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/

ALiX - a Deterministic AI Training Technology to Usher in the 3rd Wave of AI

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Members of Modal Technology Corp and RISC AI, Inc., both Minneapolis, MN-based companies, will present the status of commercializing ALiX - a disruptive AI training technology that is non-statistical and guarantees the optimal solution (global min) in a single run. A by-product of the training is output which is explainable without any additional work required. ALiX promises to reduce the complexity of models, the compute resources needed, and organizational staff requirements for training AI models. The benefits of reducing model complexity translate to fewer compute resources for inferencing once models are deployed. The technology is proven in SW emulation mode; a real-world case study will be presented related to the identification of key biomarkers for colo-rectal liver cancer, in a project conducted between Modal Technology and McGill University Health Center. A RISC-V processor is currently under development by RISC AI to bring enterprise-scale training with ALiX to the market by Q[masked]

Past events (133)

AI in Healthcare: The Road Ahead

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