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2 - Mostly Business [clear filter]
Monday, December 3

11:15am CST

Predicting Sales during Hurricanes for a Home Improvement Retailer via TensorFlow
When a hurricane is bearing down on a major metropolitan area, accurately predicting the extreme spikes in demand for home improvement categories is extremely difficult, and too often based on inaccurate instinct. See how North Highland used TensorFlow to train a recursive neural network on hundreds of terabytes of weather data, to help a major home improvement retailer better protect their customers' homes and loved ones in times of need.

avatar for Matt Yates

Matt Yates

Sr. Data Scientist and Management Consultant, North Highland
Matt is a seasoned data scientist and management consultant recognized in 2018 by Consulting Magazine’s “35 Under 35” as a rising star in retail consulting. Since joining North Highland, Matt has been on a relentless pursuit to craft innovative solutions driving both top and... Read More →

Monday December 3, 2018 11:15am - 12:00pm CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

1:00pm CST

Getting to the Heart of the Customer
The integration of Voice of Customer Research and On-Site (Store & Branch) Journey Measurement provides a remarkably fruitful way to understand and improve the customer experience. In this presentation, we'll not only explain how this works, but we'll show several real world case-studies that illustrate the remarkable power of putting attitudinal and behavioral data from the real world together. We'll also cover the technologies necessary to do the work. The keys to successful integration. And the way to handle common issues around store operations, data collection and security, and consumer privacy. This integration may be fairly common practice in the digital world, but it's almost unheard of in the store.

avatar for Gary Angel

Gary Angel

CEO, Digital Mortar
One of the leading measurement experts in the world, Gary has spent more than three decades driving enterprise analytics. He's co-founder and CEO of Digital Mortar - a leading technology provider of in-store shopper journey measurement. Before founding Digital Mortar, he founded and... Read More →

Monday December 3, 2018 1:00pm - 1:45pm CST
(1) Omnitheater (Access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

1:00pm CST

Let's Get Visual with TC Data Viz Group
In the spirit of Twin Cities Data Visualization Group we will start our session with data viz critiques - audience participation encouraged. Then, we will have a session two mini-session speakers. One around the ABC's of data viz and how to start. Another around using visualizing geographic data with GIS.

avatar for Tricia Duncan

Tricia Duncan

Sr. Analytics Consultant, AIM
avatar for Dave Mathias

Dave Mathias

Founder / Director / Podcaster, Beyond the Data / MinneAnalytics / Data Able
Dave is founder of Beyond the Data and NorthRupt Labs. He helps organizations, leaders, and individuals be customer focused and data fluent. Dave is on the board of MinneAnalytics, co-leads both the Twin Cities Data Fluency Group and the Twin Cities Data Visualization Group, and co-host... Read More →
avatar for Lisa Osacho

Lisa Osacho

Sr. Digital Content Strategist, Antenna
avatar for Sarah Solbrig

Sarah Solbrig

Sr. Digital Analyst, Three Deep Marketing
avatar for Paul Wickman

Paul Wickman

Director of Technology, RESPEC

Monday December 3, 2018 1:00pm - 1:45pm CST
(2) Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

1:00pm CST

The Chief AI Officer's Secret: Getting Insights from AI in Minutes, not Months
As organizations accumulate more data, insights teams struggle to analyze it all and make sure they discover the most important insights. Today, Fortune 500 companies analyze less than 20% of the data they have — the 80% of data that never gets analyzed contains important hidden insights that will never be discovered and used.

These hidden insights are the key to beating the well-organized, digital challengers in your business. You have more data than these challengers, but if you can't get more insight out of that data, it's not serving you.

Noah Horton, the former head of product and core engineering for Oracle Cloud, has invented a new approach to AI — the first based on unsupervised machine learning — that is able to analyze all of a businesses data without human guidance, and discover the insights that matter automatically.

Data Science, machine learning, and AI have long been promised as a solution to dealing with this data growth, but every other AI or machine learning company you've heard about still requires data scientists to start with a hypothesis and to run bespoke projects. Even simple projects still require months of cleaning data, building and training models, and repeated iteration — before you see any results. These approaches are too manual and too slow for you to be able to analyze all your data. In this keynote session, you'll learn why Unsupervised AI is the key to automatically discovering the important insights in your data — saving your team the manual effort of generating and testing hypotheses, and allowing everybody, from the C-level to line-level, to learn faster and make better data-driven decisions.

Noah will also answer questions on improving your insights process, show you ways to get very quick wins in your organization using AI (with real examples), and share what successes we've seen with other key industry executives (like the first Chief AI Officer in the Fortune 500, Pavan Arora, who I've quoted below).

“Almost everyone underestimates the time it takes to train a machine. Supervised learning requires an enormous amount of data cleaning and transformation. Unsupervised is leaping beyond by reducing AI development from months to minutes. They are on the cutting-edge, helping lead the AI revolution.“
Chief AI Officer, ARAMARK (first CAIO in the F500)
Former Chief Data Officer, IBM Watson

avatar for Noah Horton

Noah Horton

CEO, Unsupervised
Noah is the CEO and Co-Founder of Unsupervised. He is a Fortune 500 AI expert and one of the pioneers in unsupervised learning and AI.Before founding Unsupervised, Noah was the Chief Product Officer of Ayasdi, where he designed some of the most advanced AI products deployed in Fortune... Read More →

Monday December 3, 2018 1:00pm - 1:45pm CST
(4) Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

2:00pm CST

The Hole in Financial Wholeness
More than $410 billion dollars was donated to charity in 2017, 70% of which came from individuals. How, then, can it be that no consumer research exists on the topic of personal financial management -- no infographics or app solutions -- that includes charitable giving as a component within consumers' full financial picture? What's with that? There's no shortage of information that conveys how passionate and committed Millennials are about making a difference -- they intentionally work for (and invest in) companies, buy brands and support causes that demonstrably contribute to a better world. Due to our patented technology, intense data integration and use of AI and Machine Learning, the data gathered within our app will be like no other currently available in market. Researchers, retailers, marketers, manufacturers, advertisers, financial institutions, nonprofits will all benefit from the highly predictive, realtime information that will be available. The goal is to empower individuals and organizations to produce, position and promote products that are relevant and meaningful to all.

avatar for Susan Langer

Susan Langer

Founder & CEO, Live.Give.Save., Inc.
Prior to founding LGS, Susan’s 30-plus-year career spanned corporate, entrepreneurial and nonprofit sectors within financial services, marketing, philanthropy and international development. Early in Susan’s career, she worked in marketing for First Bank (now US Bank) and then... Read More →

Monday December 3, 2018 2:00pm - 2:30pm CST
(4) Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

2:45pm CST

Agile & Beyond
Over the last two decades agile has gone from obscurity to ubiquity, evolving a lot along the way. Agile forerunners continuously push boundaries and realize major productivity gains as a result. But despite agile being everywhere these days, many data teams struggle to adopt it effectively. Even small agile misapplications can end up decreasing productivity instead of increasing it. This creates a growing productivity gap between data teams that use agile effectively and those that don’t, which can mean the difference between a data team being a competitive asset or a costly liability. In this talk, we’ll dig into modern agile concepts and how they can be applied to manage and run high-performing data teams starting from the basics and working up to recent trends in areas like DataOps, lean workflows, continuous delivery, and objective reliability management.

avatar for Scott Ernst

Scott Ernst

Director of Data Science & Engineering, When I Work
Scott is currently the Director of Data Science & Data Engineering at When I Work, a Minneapolis-based startup. He has a PhD in computational physics that focused on large-scale astrophysical and magnetohydrodynamic plasma simulations. Over the last decade Scott has worked in various... Read More →

Monday December 3, 2018 2:45pm - 3:30pm CST
(1) Omnitheater (Access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

2:45pm CST

Don’t Let Your Data Strategy Crash from a Sugar High
The data hype machine continues to be in full effect.  There are very public statistics on the percentage of analytics and data efforts that fail outright, or at a minimum do not meet their advertised goals. As data volumes rise, so does the opportunity for risk and efforts to control your data consumption will often backfire. We will plan to cover a simple analogy, and will discuss behavioral metrics you can use on your organization to gauge the effectiveness of your data and analytics strategy.  Positive side effects will be accelerated adoption of both data & solutions, and the ability to connect your tribe of data ninjas to rise the tide of your entire organization.

avatar for Brian Cariveau

Brian Cariveau

VP, Tech Area Senior Manager, Wells Fargo
Brian leads a BI / Analytics organization serving the “business of IT” within Wells Fargo.

Monday December 3, 2018 2:45pm - 3:30pm CST
(2) Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

3:45pm CST

AI Is Hard. Making it work for you: lessons from the trenches
AI is hard! Is your company building a digital assistant, incorporating image or audio analytics into an application, or developing an intelligent recommendation engine? The road to AI-enabled solutions is paved with good intentions but littered with roadblocks such as incomplete cognitive/AI software platforms, difficult-to-use open source components, and a lack of staff with relevant expertise. In this session, Sean examines requirements that span over a dozen functional technology categories and draws on lessons from his deploying solutions in organizations adopting open source and commercial AI technology. Recommendations from this session will help your company develop a framework for assessing whether and when to build, buy, or partner for AI capabilities.

avatar for Sean Otto, Phd

Sean Otto, Phd

VP of Analytics, Cyient
Trained as a behavioral scientist, Sean has spent the past 10 years designing software solutions that integrate data science solutions into business processes, bridging the IT, Business and Analytics gap through the artful manipulation of human behavior with innovative uses of statistical... Read More →

Monday December 3, 2018 3:45pm - 4:15pm CST
(4) Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

3:45pm CST

Leveraging Knowledge Graphs for Better Voice Experiences
In late 2017, it was reported that more than 20 million Amazon Echoes and over seven million Google Homes were being used in our homes and offices, and this number continues to grow everyday. While they're good at some things, most aren't very conversational. In order to evolve this medium, we need to move beyond simple one-turn interactions into more human-like conversations. So how might we do this? This talk explores pairing knowledge graphs and graph technologies with voice user interfaces to create more natural conversational interactions between human and machine that engage, inform, and delight users.

avatar for Jay Myers

Jay Myers

Product Manger, Voice Assistant, Best Buy
Jay Myers is a Product Manager on Best Buy's Voice Assistant team, focused on delivering AI-based voice experiences on Amazon Alexa and Google Assistant platforms. A wearer of many hats over his career, Jay has served in both product and engineering roles. Outside of Best Buy, Jay... Read More →

Monday December 3, 2018 3:45pm - 4:15pm CST
(3) Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102