Implementing AI Session #2

Must-Knows When Implementing Artificial Intelligence

Implementing AI Session #2
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Accelerate: Digital Velocity Summit | Session #2

Widespread advancement in machine learning (ML), computer vision, deep learning, and natural language processing (NLP) have made it easier than ever to bake an AI algorithm layer into software or cloud platform. For businesses, practical AI applications can manifest in multiple ways depending on organizational needs and the business intelligence (BI) insights derived from the data collected. Enterprises can employ AI for everything from mining social data to driving engagement in customer relationship management (CRM).

In this session, viewers will gain insights on the key components of AI implementation, getting answers to questions like:

  • How can you assess the potential business and financial value of AI implementations?
  • How do you determine any organizational capability gaps for an implementation?
  • How does data fit into an AI implementation and what type of data?
  • How can an organization implement ethical AI?

Session Highlights

Advice for Leaders Who Want to Support AI in Their Mission

Practical Applications in Manufacturing, Government, Energy, and Healthcare

 

AI Democratization Requires Guardrails and Transparency

Summary and Closing Advice From the Panelists

 

Watch the Full Session

Speakers

Jose Chinchilla is the Director of Data Analytics at AgileThought, a Microsoft Certified Solutions Expert (MCSE) and a Microsoft Certified Trainer (MCT). He has over 20 years of experience architecting data analytics and IoT projects across many industries in large scale implementations. His experience includes architecture and development of traditional and modern data warehouses, data lakes and big data solutions for on-premises, cloud, and hybrid implementations. Jose is also an author and frequently speaks at technical community events.

Jose Chinchilla (Facilitator), Director, Data Analytics, AgileThought

Will Kinsman is the CEO of Datalinks.ai, an AI firm focused on provider, payer, & pharmaceutical applications of AI. His love for audiobooks started him down the road of developing software capable of interpreting character interactions and styles of writing, resulting in a specialization in language and audio processing. After discovering the problem-sets facing the healthcare industry, he has dedicated himself to innovation in care delivery. He has been an engineer at NASA, developed software at a leading high frequency trading firm, developed software at the NSA, and has been the AI team manager for a leading healthcare technology conglomerate.

Will Kinsman (Panelist), CEO, Datalinks.ai

Kirsten Dalboe, the Federal Energy Regulatory Commission’s first CDO, is a data trailblazer with a passion for establishing effective data governance structures, setting agency-wide data practices, and successfully delivering data products and services.  Before FERC, Kirsten worked at two other large federal agencies building robust data programs and delivering award winning data products.  Kirsten is a native of the DC area, plays the violin in her spare time, and is the mom to triplet boys.

Kirsten Dalboe (Panelist), Chief Data Officer, FERC

As a passionate thought-leader promoting responsible AI at Microsoft, Priya Gore is always excited to share her business-centric, relevant, and ethical AI message with customers and partners. She has proudly initiated and supported many key AI projects with some of Microsoft’s most strategic customers and serves as Microsoft’s US lead for AI and Sustainability for Manufacturing. Priya also co-founded the Microsoft AI Ambassador community, which allows her to continue to evangelize reliable, transparent and trustworthy AI and Innovation for better modernization. Equally passionate about D&I, Priya is also a founding-member of the New England Women in Technology (WIT) chapter where she advocates for equality and inclusion.

Priya Gore (Panelist), Microsoft Azure Business Director & AI Business Expert, Microsoft

Joe Rogers is a Harvard-educated serial entrepreneur with over 2 decades of growing technology and consulting businesses. He is now Founder of WorkDone.AI, a Corporate Memory / Work Heuristics platform which allows organizations to thrive in the Future of Work by optimizing the hybrid workplace and retaining operational best practices. WorkDone is a Public Benefit Corporation with the mission of facilitating the proactive transition of workers displaced by AI into their next area of vitality.

Joe Rogers (Panelist), CEO & Founder, WorkDone

Dr. Jason Bush is the Chief Data Officer at Avalon Healthcare Solutions, where he leads the data analytics infrastructure strategy supporting new product development, advanced analytics, underwriting & deal structure analytics, and reporting services. Jason has more than 20 years of experience in venture capital-backed healthcare companies. He has extensive experience in operational and business management roles. He received his Ph.D. in Chemical Engineering — Bioengineering from Carnegie Mellon University and an MBA from the University of Pittsburgh.

Jason Bush (Panelist), Chief Data Officer, Avalon

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