Keynote - Fireside Chat

Wednesday, October 13, 2021

- PDT
Low-Code/No-Code: Democratized Development or Shadow IT on Steroids?
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Tom Davenport
Tom Davenport
Visiting Professor, University of Oxford
Cindi Howson
Cindi Howson
Chief Data Strategy Officer, ThoughtSpot

Low-code and no-code platforms promise to democratize software development, accelerate app creation, and enable powerful technologies such as analytics and AI for front-line decision-makers.  While this agility sounds great for business, it poses challenges for technical managers facing a loss of control, shift in skillsets, and rapidly changing technical landscape. How do large enterprises navigate this shift? What’s the threat from more nimble competitors able to better embrace low-code?  Join this fireside chat to hear the latest trends and best practices for embracing the good and avoiding the pitfalls when starting out of your low-code journey.

- PDT
How Innovations in Coding Methods are Accelerating AI Adoption: 5 Things Technical Decision Makers Need to Know.
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Dr. Melvin Greer
Dr. Melvin Greer
Chief Data Scientist, Intel
Noelle Silver
Noelle Silver
CEO, AI Leadership Institute

Applying software to business use cases makes AI real. Despite large investment, AI adoption faces key challenges like workforce and talent, security, bias, and management of technical debt. Innovation in coding methods however is having a material impact and is helping to accelerate an organization's ability to overcome these key challenges. Join Melvin Greer, Chief Data Scientist, Intel Corporation as he shares industry case studies and details how organizations innovating with Low-code/No-code software development approaches are able to differentiate on consumer experience, provide real-time, event-driven, personalized experiences and successfully exceed AI product/service expectations.

- PDT
“From Data to Knowledge”. How the Organization of Data Using LC/NC Can Drastically Reduce the Technical Complexity of Deriving Knowledge From Data.
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Ameen Kazerouni
Ameen Kazerouni
Chief Data & Analytics Officer, Orangetheory Fitness
Wendy Schuchart
Wendy Schuchart
Managing Editor, VentureBeat

Imagine a room full of every book ever written stacked in a disorganized pile. Now imagine a library with every book ever written, well organized and maintained. Next, a bookshelf of fantasy novels is sorted by author. Now, a table with the three Lord of the Rings books is laid out. Finally, a book report with all salient details from the series. Your mission is to answer a simple question, “Who is Frodo Baggins?”. Each layer of organization exponentially reduces the complexity and time it takes one individual to answer the exact same question. In this talk, the Chief Data and Analytics Officer of Orangetheory Fitness will walk you through the tools leveraged to create an environment for easy access to information and knowledge from large volumes of unstructured data. Each layer of organization provides low to no tech access to authoritative datasets that drive both governances and creates communities for the creation and sharing of institutional knowledge. He will share insights into how Orangetheory went about designing and building their LC/NC tools, some lessons learned, best practices established and some challenges overcome along the way.