AI Summit - Day 2

Speakers:

Sam Charrington (Founder, CloudPulse Strategies)

Janakiram MSV (Analyst, Advisor, Architect, Janakiram & Associates)

Jennifer Prendki (Head of Data Science, Atlassian)

Friederike Schuur (Research Engineer, Cloudera Fast Forward Labs)

Kiran Vajapey (HCI Developer, Figure Eight)

Location: Montego C

Date: Tuesday, May 1

Time: 9:00am - 5:00pm

Pass Type: All Access, Summits & Workshops

Format: Summit

Track: Data & Analytics

Conference Journey: Business/Data Analyst

Audience: All

Vault Recording: TBD

Audience Level: All

Note: an RSVP is required for Workshops & Summits. Please RSVP by making your selections in your registration account.

If you’re like most folks in IT, you probably hear a lot about machine learning and AI. You know they’ll eventually have a huge impact on your company, your job, heck, even your personal life, but you’re sure exactly what all the buzz is about.

You’d like to better understand this stuff, and you know deep down having a solid grasp of it would be good for your career, but who has time for online classes, reviewing college calculus and linear algebra, and coding up algorithms? After all, you want to drive the car, not build it.

That’s where the AI Executive Summit comes in. Think of it as a two-day Technical MBA in ML & AI, presented by Sam Charrington, host of the popular This Week in Machine Learning and AI podcast.

View the schedule for Day 1.

DAY 2

9:00 - 9:10 Welcome to Day 2
Sam Charrington (Founder, CloudPulse Strategies)

9:10 - 10:30 AI for IoT and at the Edge
Janakiram MSV (Analyst, Advisor, Architect, Janakiram & Associates)
This session will discuss Internet-of-Things applications of machine learning and AI, and how to take AI to the edge. We will explore the workflow involved in model training in the public cloud and inference at the edge layer.

10:30 – 10:45 Break

10:45 – 12:00 Operationalizing Machine Learning and Building an ML-Friendly Organization
Jennifer Prendki (Head of Data Science, Atlassian)
This talk will review the pain points that machine learning practitioners face when operationalizing their models and share useful technical, organizational and cultural tips that organizations new to ML and AI can use to avoid common pitfalls.
12:00 - 1:00 Lunch

1:00 - 2:30 AI Strategy for the Enterprise
Friederike Schuur (Research Engineer, Cloudera Fast Forward Labs)

2:30 - 3:00 – Break

3:00 - 5:00 Ask the Experts Panel
Jennifer Prendki, Friederike Schuur, Kiran Vajapey
This is your opportunity to bring your questions to our faculty of experts. Share your company's scenario or use case and hear how these experts would approach addressing it with an ML or AI solution.