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on
1
Intro
2
Hope Foley
3
Introduction
4
Agenda
5
What is AI
6
Vision for AI
7
Hopes Boss
8
ItsDepends
9
Lets Figure This Out
10
Sentiment Analysis
11
The Gartner Hype Cycle
12
Azure ML Service
13
Notebooks
14
Notebooks are unique
15
Calling out
16
Power BI
17
Data Flow
18
Cognitive Services
19
Custom Vision
20
Sentiment Analysis Models
21
Skill Set
22
Power BI Example
23
Onprem Options
24
Other Considerations
25
Bosses
26
Data Science
27
Making AI happen
28
Navigating Azure
29
How long it takes
30
Thank you
Description:
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.

AI to the Masses! But How? Pixie Dust?

PASS Data Community Summit
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