AI to the Masses! But How? Pixie Dust?

Explore the world of artificial intelligence in data science through this informative conference talk from PASS Data Community Summit. Delve into the realities of AI implementation beyond the hype, examining Azure's data science options and their practical applications. Learn to navigate the decision-making process when tasked with leveraging AI for your data projects. Discover key topics including sentiment analysis, the Gartner Hype Cycle, Azure ML Service, notebooks, Power BI, Cognitive Services, and Custom Vision. Gain insights on skill sets required, on-premises options, and other crucial considerations for successful AI integration. Understand how to effectively communicate with management about AI projects, navigate Azure's offerings, and set realistic expectations for implementation timelines.

Intro
Hope Foley
Introduction
Agenda
What is AI
Vision for AI
Hopes Boss
ItsDepends
Lets Figure This Out
Sentiment Analysis
The Gartner Hype Cycle
Azure ML Service
Notebooks
Notebooks are unique
Calling out
Power BI
Data Flow
Cognitive Services
Custom Vision
Sentiment Analysis Models
Skill Set
Power BI Example
Onprem Options
Other Considerations
Bosses
Data Science
Making AI happen
Navigating Azure
How long it takes
Thank you