Enginears Enginears

- What is Developer Productivity?
- Developer Productivity in Trainline and how you measure it?
- What are two tips to Developer Productivity?
    - Metrics, Observability and Growth in Trainline
Building a Career Framework in Engineering at Trainline
    - Goals
    - Salary Increases
    - Retention
Growth of Trainline into new markets across Europe
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- Wayve Introduction
- Common challenges in Autonomous Driving
- "End-To-End" self driving technology and what it means
- LiDAR Sensors versus Computer Vision in Self Driving and the pro's and con's
- The introduction of Large Language Models (LLMs) in Self Driving
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- Learning from challenges in building a start-up previously and life as a technical co-founder.
- We discuss the reputation of buy now pay later.
- The market opportunity for Sprinque and businesses using the BNPL model.
- The technical challenges to come:
      - Scale
      - Data and ML models
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- Sennder, and SennAI introduction
- 0 The power of AI in SennAI and the implementation of Marketplace pricing and load recommendation
- Critical challenges including Bayesian approaches and the emergence of MLOps
- The importance of Technical Product Owners and how they drive value in a multi-disciplined team
- Hiring and retaining exceptional talent
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Our first release of Nick Peddy, CTO of CLEARME and ex-Uber, JP Morgan and Capital One where he talks to us about his rise to the role of a CTO and his passion for leadership.

CLEAR have been on a really interesting journey since COVID and their razor focus vision on being customer-centric has guided them through a tough situation where largely their business was in the aviation space.

A pivot towards multi-industries and continuing to build a world-class, well-trusted biometric authentication service was critical.

We had the opportunity to discuss the evolution of architectures inside the business as they expanded into new markets, the speed and accuracy of their biometric service underpinned by Machine Learning and how they have handled their increase in scale.
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- Overview of XXII
- Computer Vision applications and industries served
- Floating Sales licenses and the importance of flexibility for the customer
- Synthetic data versus real world data in AI. The pro's and con's.
- Recent funding and international growth plans for the future
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Check us out on YouTube: https://www.youtube.com/@Enginearsio