AI Pilots to Progress: The lowdown on what makes AI projects successful

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This is a podcast episode titled, AI Pilots to Progress: The lowdown on what makes AI projects successful. The summary for this episode is: Building an AI pilot is relatively easy, but implementing it in a real-life environment is much, much harder. In real life, costs, data quality and user experience become difficult to control. Listen to guests Anupam Singh, VP of Engineering at Roblox and Nick Renotte, Chief AI Engineer at IBM, talk about why 4 out of 5 of AI pilots fail and how you can avoid yours being one of them. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity

Key Takeaways

Anupam's advice regarding scalability

00:15 MIN

Our first guest - Anupam Singh

00:39 MIN

Anupam's career journey

00:21 MIN

How AI was used in the beginning in Roblox

00:51 MIN

What is time to first token?

00:19 MIN

Never confuse the demo with actual production

00:55 MIN

What is usually missed when starting the piloting process?

00:54 MIN

Let's talk about cost

00:54 MIN

Start small

01:06 MIN

How easy is to find people with the right AI skills?

00:51 MIN

Where to start as an engineer?

01:23 MIN

How's AI shaping the future of gaming?

02:02 MIN

What's coming next as gen AI gets better and pilots start improving?

01:35 MIN

Our second guest - Nick Renotte

00:24 MIN

Start from the impact when designing new projects

01:04 MIN

Pilot Engineering Method

02:48 MIN

Nick's story about a failed pilot

04:48 MIN

How to create successful pilots

01:33 MIN

Nick's advice for any developer

00:45 MIN

DESCRIPTION

Building an AI pilot is relatively easy, but implementing it in a real-life environment is much, much harder. In real life, costs, data quality and user experience become difficult to control. Listen to guests Anupam Singh, VP of Engineering at Roblox and Nick Renotte, Chief AI Engineer at IBM, talk about why 4 out of 5 of AI pilots fail and how you can avoid yours being one of them.

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity

Today's Host

Albert Lawrence

|Host

Today's Guests

Anupam Singh

|Vice President, AI & Growth Engineering Roblox

Anupam leads Roblox's AI & Growth engineering teams, which provide the infrastructure for high throughput AI services for safety, recommendations, and assistants. Before Roblox, Anupam was chief customer officer at Cloudera, where he led product, engineering, and field teams for Data Warehousing products. Anupam has co-founded two companies in the Big Data space, acquired by Cloudera and Marketshare, respectively. Anupam built his database expertise on the SQL Query Optimizer teams at Oracle, Sybase (now SAP), and Informix (now IBM). He graduated from Pune University in India and holds patents in the areas of automatic SQL performance tuning, object databases, and resilient query execution.

Anupam's LinkedIn

Nicholas Renotte

|Chief AI Engineer, IBM Client Engineering

Nicholas Renotte, Chief AI Engineer - Client Engineering, started coding in VBA when he was eight years old but gave it all up for a life in finance. He finally came to his senses, and has since built machine learning models for Fortune 500 companies, founded an EdTech startup and currently leads over 500 AI engineers across the globe at IBM. Over the past 5 years, he has built a following of over 265,000 AI engineers and data scientists on YouTube, created hundreds of machine learning models and shared over 50,000 lines of code on GitHub, which has helped thousands of organisations and individuals take their first steps into the field of AI to build better, faster, more efficient businesses.

Nick's LinkedIn