Federated learning is used for distributed training of machine learning algorithms on multiple devices without exchanging training data. The video discusses the History of Federated Learning, different Architectures, the challenges associated with using the platform, as well as the potential future prospects for the technology. The speaker also explained the framework "Flower" which is an open-source framework for Federated Learning.

Maria Boerner has a Ph.D. in physics and an academic background in data analysis and processing. She worked at the world's largest Particle Colliders CERN and DESY and managed AI projects at for Porsche, PwC and Daimler.

The podcast discusses the importance of ESG (environmental, social, and governance) and how it needs to be integrated into business strategies. They also discuss the use of technology in ESG due diligence, its challenges, Sustainable investment, Greenwashing and how it is necessary to have a standardized approach to data collection and analysis.

Ana Luci is a 22-year experienced sustainability advisor and lecturer focused on the incorporation of environmental and climate variables within businesses’ strategic planning.

This is a conversation with Ms Punitee Garyali on the advancements in Artificial Intelligence in the Healthcare sector. Punitee is a Physician-Scientist and is passionate about using technology, especially artificial intelligence, to solve complex biological problems.  Punitee has degrees in Medicine & Engineering along with a doctorate in Biochemistry and wants to contribute to research that has a direct impact on the community. She is working with AI Talos as a Medical Advisor to create an AI-powered solution for breast cancer diagnosis. She believes that the convergence of AI/ML with medicine opens up endless possibilities!

This Podcast discusses the potential benefits of using artificial intelligence in healthcare. It notes that while AI can assist in certain aspects of healthcare, it should never be considered a replacement for a human physician. 

The podcast discusses the features and capabilities of the Notebook as a Service (NaaS) platform. The platform provides users with access to monitor and manage their notebooks in a centralized location, making it easier to schedule and track tasks. They also discuss the design concept behind the drivers and templates, and how they are designed to be more simple and closer to users.

Jeremy Ravenel with his team started Naas.ai to augment Notebooks and run them in production with a low-code approach in mind.  

Naas software is a data platform used to manage tasks with low-code formulas and templates. Link data with Python and can create an information flow between your data workflows with AI-powered data pipelines. Schedule workflows via Notebooks API in minutes. Small and Medium companies make use of the software. https://www.naas.ai/

The Passion Perspective is all about helping individuals identify and then develop programs to pursue their passions. Kira, the founder of the Passion Center, has designed courses that help individuals clear out blocks and old patterns of thought, and understand their passions. The podcast discusses the importance of identifying and driving passion in one's life, and how to apply it to one's work.

Kira is the founder of the Passion Centre, an organization that works with companies to adapt to the aggressively changing expectations of employees who seek meaning, purpose and fulfilment in their work. Kira is also the Executive Producer and Human Experience Designer for the Docu-Series, ‘The Retreat’, soon to be found on Amazon Prime, Apple TV, H2H, Roku and other distribution networks and platforms.

This podcast discusses the challenges of deploying machine learning models in production. These include model degradation over time, infrastructure challenges, and data security. The podcast also discusses the need for proper automation of ML processes and how it is implemented by leveraging AWS Cloud Services in projects at Thomson Reuters Labs

Lakshminarayan is a Lead Engineer - Machine Learning at Thomson Reuters Labs in Bangalore. He works with a team of engineers, scientists and designers to deliver ML solutions in TR products.  

Harpreet is a Senior Cloud and DevOps Engineer at Thomson Reuters Labs in Bangalore. He works with a team of engineers, scientists and designers to build and Deploy solutions in Cloud.

Ms Shirsha Ray Chaudhuri, from the Thomson Reuters team, deserves special recognition for her efforts in coordinating this Podcast Series with the team.

This podcast discusses the importance of explainable AI and how it can improve AI systems' reliability. The conversation also touches on the different needs of users and data scientists when explaining AI systems.

Milda Norkute is a Senior Designer at Thomson Reuters Labs in Zug, Switzerland. She works with data scientists and engineers on enhancing products and services across the Thomson Reuters product portfolio with Artificial Intelligence (AI) solutions. Milda is focused on user research and the design of the products to figure out how and where to put the human in the loop in AI-powered systems.

Named entity recognition is a process of identifying and classifying entities in a document, and it is especially challenging in the legal domain due to its rich vocabulary and different use cases. The architecture that has been developed using Pointer Generator Network is able to overcome these challenges which have led to improved performance.

Sagar L. is a Senior Data Scientist at Thomson Reuters Labs in Bangalore, which was set up a few months ago as the first Labs site in India. He works with a multi-disciplinary team consisting of domain experts, designers and engineers. Sagar has a master's degree in Biotechnology Engineering from IIT Madras. Prior to joining Thomson Reuters, he worked with the Government of India, led data science initiatives at Nestaway Technologies, and co-founded Life Catalyst Technologies.

Research Paper Link: https://arxiv.org/abs/2012.09936

Authors: Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman (Thomson Reuters Labs)

This podcast discusses a research project about Fake Points of Interest from Location Data using ML models. The speaker shares his experience working with designing this model. The podcast also discusses how the project can be improved, specifically by trying out new models and data sets.

Syed Raza Bashir is a PhD Candidate in computer science from Toronto, Canada. He has over 20 years of experience in the teaching and software industry. He is currently working as a Professor in Sheridan College and working as Scientific Managing Editor in Computer Science at Elsevier. He also completed certifications; Microsoft Certified Professional, Microsoft Azure Administration and ITIL.  He is also working as Supervisor for Capstone Projects. His areas of interest include machine learning, deep neural networks, and Software engineering. He has spent a significant amount of time in detecting fake points of interest (POI) in Google maps and then recommending those fake free POI’s to users. He also published a number of papers in this area.

This podcast discusses a research project on improving water resources management in Bangalore, India. The project uses satellite products to help solve societal issues, such as understanding holistically what exists in a city's water resources. The objective of the project is to study and implement ways to reduce water dependency on outside sources.

Khushbu holds a Master's degree from BMS College of Engineering, Bengaluru. She is a creative person and teaches various subjects in environmental engineering. She is currently investigating two government-funded research projects in water resources & quality management.