Pattern ML

Neil Batlivala and Avesh Singh
  • 4,9 (16)
  • TECHNOLOGIES

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

Épisodes

  1. 04/03/2018

    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.

  2. 12/10/2017

    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.

    27 min

  3. 08/10/2017

    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.

    41 min

  4. 22/09/2017

    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 min

  5. 03/09/2017

    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 min

  6. 20/08/2017

    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 min

  7. 06/08/2017

    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 min

  8. 29/07/2017

    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 min
  • 8 épisodes

4,9
sur 5
16 notes

À propos

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

Informations

  • Création
    Neil Batlivala and Avesh Singh
  • Années d’activité
    2017 - 2018
  • Épisodes
    8
  • Classification
    Tous publics
  • Copyright
    © Pattern 2017
  • Site web de l’émission
    Pattern ML