title

Pattern ML

Neil Batlivala and Avesh Singh

0
Followers
0
Plays
Pattern ML
Pattern ML

Pattern ML

Neil Batlivala and Avesh Singh

0
Followers
0
Plays
OVERVIEWEPISODESYOU MAY ALSO LIKE

Details

About Us

Interviews with founders to learn the strategies and challenges of an ML/AI based business.

Latest Episodes

Stellares

In this episode, we dive into the challenges and solutions in applying AI to a field as meaningful and subtle as your own career. Stellares is an AI Talent Agency that uses machine learning to help top tech talent navigate their careers.

-1 s2018 MAR 5
Comments
Stellares

Unify ID

UnifyID authenticates users using implicit signals like typing speed and gait. In this episode, we learn more about this innovative use of machine learning, and explore UnifyID’s unique recruiting strategy.

26 MIN2017 OCT 12
Comments
Unify ID

Ople AI and the Future of ML Engineering

Pedro compares the state of ML now to the beginning of the aviation industry; early pilots needed to know everything from the physics of flight to the engineering behind the plan and nowadays, a pilot interfaces with the entire plane through a cockpit dashboard. Ople AI is trying to be that dashboard, hiding implementation details of training to allow ML engineers to focus on higher level questions like how can the data available be used as features to solve business problems.

40 MIN2017 OCT 9
Comments
Ople AI and the Future of ML Engineering

NanoNets

NanoNets isa Machine Learning as a Service platform for developers to rapidly create/deploy models. Learn about how they do it with transfer learning, a technique that uses learnings from coarse models to bolster others. They have a product aimed at developers and give insights into where ML tech is going!

27 MIN2017 SEP 23
Comments
NanoNets

People AI

Sales is a game of managing customer leads, pipelines, and followups. People.AI is automating the sales manager to help you close more deals backed by some unexpected yet highly reliable data sources. In this interview with founder Oleg Rogynskyy, we focus on the advantages of using high quality data sets and starting off as a consulting shop, to help build out new models that you work alongside your customers to develop!

33 MIN2017 SEP 4
Comments
People AI

Lift Igniter

Learn how Adam and the team at LiftIgniter are bringing innovations from Google to the rest of the business world. Google, whose main revenue come from ads, has developed arguably the world’s most sophisticated machine learning for ad targeting. Lift Igniter is taking similar concepts and creating a bleeding edge personalization engine that ups user engagement across the board.

22 MIN2017 AUG 20
Comments
Lift Igniter

Preteckt

Preteckt is an ingenious cross between a IoT and ML company. The company uses its own hardware sensors to determine when a customer's 16 wheeler is going to break down.

29 MIN2017 AUG 6
Comments
Preteckt

Kylie AI

Kylie.ai is a service that automates customer service tickets. This is a longer than average episode as Sinan’s interview was too good to be cut down any shorter. We dive in on building models per rep, and how Sinan was able to train a model using public Twitter data so that he could have a customer solution before even stepping into a meeting!

57 MIN2017 JUL 29
Comments
Kylie AI
the END

Latest Episodes

Stellares

In this episode, we dive into the challenges and solutions in applying AI to a field as meaningful and subtle as your own career. Stellares is an AI Talent Agency that uses machine learning to help top tech talent navigate their careers.

-1 s2018 MAR 5
Comments
Stellares

Unify ID

UnifyID authenticates users using implicit signals like typing speed and gait. In this episode, we learn more about this innovative use of machine learning, and explore UnifyID’s unique recruiting strategy.

26 MIN2017 OCT 12
Comments
Unify ID

Ople AI and the Future of ML Engineering

Pedro compares the state of ML now to the beginning of the aviation industry; early pilots needed to know everything from the physics of flight to the engineering behind the plan and nowadays, a pilot interfaces with the entire plane through a cockpit dashboard. Ople AI is trying to be that dashboard, hiding implementation details of training to allow ML engineers to focus on higher level questions like how can the data available be used as features to solve business problems.

40 MIN2017 OCT 9
Comments
Ople AI and the Future of ML Engineering

NanoNets

NanoNets isa Machine Learning as a Service platform for developers to rapidly create/deploy models. Learn about how they do it with transfer learning, a technique that uses learnings from coarse models to bolster others. They have a product aimed at developers and give insights into where ML tech is going!

27 MIN2017 SEP 23
Comments
NanoNets

People AI

Sales is a game of managing customer leads, pipelines, and followups. People.AI is automating the sales manager to help you close more deals backed by some unexpected yet highly reliable data sources. In this interview with founder Oleg Rogynskyy, we focus on the advantages of using high quality data sets and starting off as a consulting shop, to help build out new models that you work alongside your customers to develop!

33 MIN2017 SEP 4
Comments
People AI

Lift Igniter

Learn how Adam and the team at LiftIgniter are bringing innovations from Google to the rest of the business world. Google, whose main revenue come from ads, has developed arguably the world’s most sophisticated machine learning for ad targeting. Lift Igniter is taking similar concepts and creating a bleeding edge personalization engine that ups user engagement across the board.

22 MIN2017 AUG 20
Comments
Lift Igniter

Preteckt

Preteckt is an ingenious cross between a IoT and ML company. The company uses its own hardware sensors to determine when a customer's 16 wheeler is going to break down.

29 MIN2017 AUG 6
Comments
Preteckt

Kylie AI

Kylie.ai is a service that automates customer service tickets. This is a longer than average episode as Sinan’s interview was too good to be cut down any shorter. We dive in on building models per rep, and how Sinan was able to train a model using public Twitter data so that he could have a customer solution before even stepping into a meeting!

57 MIN2017 JUL 29
Comments
Kylie AI
the END
hmly
himalayaプレミアムへようこそ聴き放題のオーディオブックをお楽しみください。