AI is raising the bar for operational speed, efficiency, and intelligence across manufacturing and automotive industries. Leaders want to scale AI into core processes – yet legacy infrastructure, fragmented systems, and limited operating maturity continue to hold AI back from production scale.
So, how can auto and manufacturing organizations modernise their core environments to cut infrastructure costs and unlock AI at scale?
Join ClearScale as we bring clarity to the foundations required to scale AI with confidence.
You’ll leave with insight into how ClearScale has helped organizations such as Decisiv, Smurfit WestRock, and Samsung Research modernize infrastructure, unify data platforms, and establish operating discipline — enabling production‑ready AI that moves beyond pilots to sustainable scale.
Agenda
6:00pm - Arrival & Networking
6:30pm - Welcome & introduction from RapidScale
6:45pm - Customer fireside chat
7:15pm - Dinner & Discussion
8:45pm - Feedback session
9:00 pm - Close
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David Ernst
Head of Migrations
Clearscale
Meet the speakers
Scaling Innovation at Speed with AI
Thursday, October 29th, 6-9pm,
Mastro's Steakhouse, New York
Venue TBC
Sydney
Agenda
12:00pm Arrival and Check-in
12:15pm Welcome & Introduction from Rackspace
12:45pm Fireside Chat
1:15pm Lunch & Discussions
2:30pm Closing Remarks & Event Ends
How modern foundations enable auto and manufacturing organizations to scale AI
Scaling Innovation at Speed with AI
How modern foundations enable auto and manufacturing organizations to scale AI
29th October, 6-9pm, Mastro's Steakhouse, 1285 6th Ave, New York, NY 10019
What you’ll take away from this event
Clarity on what’s currently limiting your ability to scale AI and which foundational changes will have the biggest impact.
A practical understanding of how organisations are transitioning from environments like VMware to modern, cloud‑ready platforms, using phased, low‑risk approaches.
Confidence in how to move AI from pilots into production, supported by scalable platforms and disciplined operating models.
Real examples of how peers have reduced cost and complexity while building foundations that allow AI to scale sustainably.
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Ausaf Ahmed
GTM Strategy & Operations Leader, Automotive & Manufacturing
AWS
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Jeremy Goddard
Director of
Software Engineering
ANA