What we're about

AppliedAI is a monthly meetup, podcast, and newsletter that develops Minnesota’s next generation of experts by educating citizens of all ages in 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)

Where the Rubber Meets the Road: How to Get Business Value From Your AI Models

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AI is expected to deliver US$13 trillion of economic impact worldwide by 2030. With that high of an impact, it’d be easy to expect every AI project to be a guaranteed goldmine. However, 85% of AI projects fail to deliver their intended results to the business. So how can both things be true?

The answer lies in the execution. Most organizations view AI as evolutionary rather than revolutionary – they look at their existing business processes and think about how to fit AI into them. Instead, the organizations that realize the majority of the $13 trillion value are the ones who are able to take the output of AI models and use it to reimagine the way that they do business.

This month, we are joined by Fraser Gray-Smith – Senior Consultant at Slalom Consulting. He is a problem-solver, self-professed geek, and lifelong learner who has spent the last 8 years building and leading analytics teams across a wide array of industries. His focus is on teaching organizations how to implement AI in ways that drive business value.

Feminist Data Set: Using Art, Design, and Technology to Combat Bias

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What is feminist data inside of social networks, algorithms, and big data? How can we queer data, the archive, and the internet? How can a data set act as a form of protest, of a creation of bias mitigation? This talk looks at ways of intervention, from art, design, and technology that combat and challenge bias. How can we create data to be an act of protest against algorithms? Part of this talk will focus on Caroline's research and current art project, Feminist Data Set.

Feminist Data Set acts as a means to combat bias and introduce the possibility of data collection as a feminist practice, aiming to produce a slice of data to intervene in larger civic and private networks. Exploring its potential to disrupt larger systems by generating new forms of agency, her work asks: can data collection itself function as an artwork?

Our Presenter: Caroline Sinders

Caroline Sinders is a critical designer and artist. For the past few years, she has been examining the intersections of artificial intelligence, abuse, and politics in digital conversational spaces.

She has worked with the United Nations, Amnesty International, IBM Watson, the Wikimedia Foundation, and others. Sinders has held fellowships with the Harvard Kennedy School, Google's PAIR (People and Artificial Intelligence Research group), the Mozilla Foundation, the Weizenbaum Institute Pioneer Works, Eyebeam, Ars Electronica, the Yerba Buena Center for the Arts, the Sci Art Resonances program with the European Commission, and the International Center of Photography.

Some of her research fellowships and funded research work have focused on dark patterns, community health, online harassment, AI inequity, and the labor and systems in AI and platforms. Currently, she is a fellow with Ars Electronica AI Lab with the Edinburgh Futures Institute. Her work has been featured in the Tate Exchange in Tate Modern, Victoria and Albert Museum, MoMA PS1, LABoral, Wired, Slate, Quartz, the Channels Festival, and others. Sinders holds a Masters from New York University's Interactive Telecommunications Program.

Hamilton: An Open Source Python Micro-Framework for Data / Feature Engineering

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In this talk, we will be joined by Stefan Krawczyk, Manager & Lead ML Platform/Data Platform as he shares with us Hamilton, an Open Source Python Micro-Framework for Data / Feature Engineering

At Stitch Fix, we have 130+ “Full Stack Data Scientists” who, in addition to doing data science work, are also expected to engineer and own data pipelines for their production models.

One data science team, the Forecasting, Estimation, and Demand team, was in a bind. Their feature generation process was causing them iteration & operational frustrations in delivering time-series forecasts for the business. In this talk, I’ll present Hamilton, a novel open-source Python micro framework, that solved their pain points by changing their working paradigm.

Specifically, Hamilton enables a simpler paradigm for Data Science & Data Engineering teams to create, maintain, execute, and scale code for feature/data transforms, especially when there is a chain of them. Hamilton does this by building a DAG of dependencies directly from Python functions. Tune in to hear what Hamilton is, what it looks like to use it, what benefits it provides, and where it's going.

Hybrid Intelligence: Advancing Human Creativity Through AI and the Metaverse

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Hybrid intelligence will drive the 4th Industrial Revolution. That is, human abilities that are augmented with machine capabilities will shape the future of work. This is not limited to just tasks and activities but also the squishy skills like communication, teamwork, empathy, and creativity. Already through the combination of cognitive science, AI, and the metaverse, we are advancing people’s capabilities with these squishy skills. Join this session to learn how you can tap into this convergence and employ AI and the metaverse to drive hybrid intelligence.

Presenter

Please welcome our presenter this month, Neil Sahota. Neil is an IBM Master Inventor, United Nations AI advisor, Chief Innovation Officer, and globally recognized speaker and author of the award-winning Best Business Book of 2019. Own the AI Revolution. Neil is a founding member of the UN's AI For Good initiative and is actively helping them build out their ecosystem of strategic partnerships. Additionally, through his work with the Global Fortune 500 companies as a change maker, he created a disruptive thinking framework to show people how you can think differently.

Neil helps organizations disrupt themselves before someone else disrupts them. He is the Sherpa who unlocks those hidden opportunities, the architect the constructs the bridge to those opportunities, and the counselor that creates a safe environment to manage risk and establish buy-in.

Past events (127)

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