live event
Executive Guide to Building Enterprise AI Applications
.png)
Featuring Ed Ortega of Machine & Partners and Greg Shove, Section CEO
October 29, 2024
3 - 4 p.m. ET
This event has passed.
You can watch the recording of the event here.
Move the needle, and your bottom line, with AI
We’re all seeing AI hype everywhere – what we’re not seeing as often are real AI wins. Is AI actually capable of bottom-line moving impact, and if so, how can you make it a reality in your team?
Join Ed Ortega of Machine & Partners and Greg Shove, Section CEO, on October 29th from 3 - 4 p.m. ET for a presentation covering:
– Is AI all “hype” or can it actually help you win?
– Are LLMs your only option for working with AI?
– What AI “traps” do orgs need to look out for?
– If AI can do anything, how do you prioritize which AI initiatives to pilot?
– How is this any different than deploying software?
MEET YOUR SPEAKER
Ed Ortega
Ed Ortega is a Partner at Machine & Partners and a sought-after product strategy leader focused on AI integration in products, services, and workflows. With 20 years of Silicon Valley experience in product, design, and strategy, his insights help clients understand how AI can impact their organization and create realizable value in their businesses.
MEET YOUR SPEAKER
Greg Shove
Greg Shove is the CEO of Section and a six-time startup CEO. He is the founder of Machine + Partners, an AI consultancy helping companies deploy AI products. His mission is to get 100,000 students into "the AI class" by 2025.
MEET YOUR SPEAKER
Ed Ortega
Ed Ortega is a Partner at Machine & Partners and a sought-after product strategy leader focused on AI integration in products, services, and workflows. With 20 years of Silicon Valley experience in product, design, and strategy, his insights help clients understand how AI can impact their organization and create realizable value in their businesses.
Unboring business education you can use immediately
No bad PowerPoints, cheesy ukulele music, mandatory quizzes to prove you were watching, smart-but-super-boring professors, or un-diverse panels. Ever.
