Using AI and ML to Help Humans, Not Replace Them - ML 071

Using AI and ML to Help Humans, Not Replace Them - ML 071

Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and ultimately empower people to be their best. Michael shares specific examples of how this can be done for human agent productivity within contact centers. They also discuss fully human controlled vs automated systems, delivering value with AI and ML, and the future of AI driven technology. In this Episode…
  1. How do you deliver value with AI and ML?
  2. Fully human controlled vs. fully automated systems
  3. ML software engineering vs traditional software
  4. Using static training data models and data validation
  5. Communicating process improvements and failures
  6. What is the future of ASAPP and AI driven technology?
Sponsors Links Special Guest: Michael Griffiths.Sponsored By:

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Jaksot(209)

The Impact of Process on Successful Tech Companies - ML 145

The Impact of Process on Successful Tech Companies - ML 145

Michael and Ben dive into the critical role of design in software development processes. They emphasize the value of clear and understandable code, the importance of thorough design for complex projec...

28 Maalis 20241h 5min

Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They stress the importance of asking questions to understand the context and navigate th...

21 Maalis 202438min

MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

Ben and Michael dive into the world of machine learning operations (MLOps) and discuss the complexities of building a computer vision pipeline to detect fishing boats at ports. They unpack the intrica...

14 Maalis 20241h 1min

Navigating Authority and Transparency in Organizations - ML 142

Navigating Authority and Transparency in Organizations - ML 142

Ben and Michael dive into the complex world of decision-making, transparency, and truth-seeking in professional settings. They share their insights on challenging decisions, navigating organizational ...

22 Helmi 202459min

Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

Davis King is the perception engineer at Aurora. They talk about Dlib, which makes real-world machine learning and data analysis applications. They delve into the complexities of CUDA extensions, soft...

8 Helmi 20241h 17min

Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

Ben and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper formatting and consistency in Python code to the challenges of changing organization...

25 Tammi 20241h 5min

Lyft's ML Infrastructure Journey - ML 139

Lyft's ML Infrastructure Journey - ML 139

Konstantin Gizdarski and Jonas Timmermann are software engineers at Lyft. They dive deep into the world of machine learning and engineering at Lyft. Join them as they explore the challenges and succes...

18 Tammi 20241h 5min

From Open Source to Traditional ML with James Lamb - ML 138

From Open Source to Traditional ML with James Lamb - ML 138

James Lamb is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his journe...

4 Tammi 202454min

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