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Conference: Transform X 2022
Authors: Thomas Kurian, Alexandr Wang
2022-10-19
Thomas Kurian, the CEO of Google Cloud, will join Alexandr Wang, CEO and Founder of Scale, to discuss how AI helps businesses across various industries and use cases. Google Cloud is well-known for developer adoption, helping machine learning teams to create production-grade machine learning models. With platforms like Vertex AI and TensorFlow, Google boasts the most popular machine learning platforms adopted by over 3 million developers globally. Google also has succeeded with the widespread adoption of machine learning capabilities in its consumer and business products, including Gmail smart replies and predictive search.Kurian will advise how to best roll out machine learning capabilities to many customers and ensure they are widely adopted. He will also discuss that, with the advent of foundation models, now is the time for all industries to more broadly adopt AI or risk falling behind the competition. He will detail practical use cases for retail, logistics, manufacturing, and healthcare. Kurian and Wang will also discuss the future of machine learning and what it will take to get there.Before Google, Kurian spent 22 years at Oracle; his nearly 30 years of experience have given him a deep knowledge of engineering, enterprise relationships, and leadership of large organizations. Throughout his career, he has demonstrated a unique capability to align the latest technological developments, including machine learning, with real business problems to provide practical solutions to customers.
Conference: Transform X 2022
Authors: François Chollet
2022-10-19
tldr - powered by Generative AI
The presentation discusses the need to make machine learning (ML) universally accessible to developers who are not ML experts. The speaker emphasizes the importance of UX design, componentry use, and automation in empowering developers to use ML effectively.
- ML is moving at an incredible speed and has the potential to transform various industries.
- To realize the full potential of ML, it needs to be accessible to anyone with an idea and some coding skills.
- The Responsible AI Toolkit is a suite of tools and resources that can help developers address safety concerns at each stage of the model development process.
- Progressive disclosure of complexity is a key design principle in making ML accessible to developers.
- Keras API provides a range of workflows from the very high level to the very low level, corresponding to different user profiles.
- Avoiding API silos is important in making ML accessible to developers.
- The speaker encourages developers to check out the Model Remediation Package to address bias in Keras models.
Conference: OpenAI + Data Forum 2022
Authors: Travis Addair, Nicolas Castet
2022-06-21
tldr - powered by Generative AI
The presentation discusses a full stack platform for optimizing data sharing and processing in a cluster environment.
- The platform uses the Hadoop Distributed File System (HDFS) and YARN for data storage and processing.
- The platform includes a peer-to-peer torrent-like protocol called Left-Right (Letbat) for efficient data transfer.
- The platform allows for easy sharing of data sets and includes a search function for finding relevant data.
- The platform is still in development and the team is looking for feedback and developers to contribute.
Conference: KubeCon + CloudNativeCon North America 2021
Authors: Steve Wong, Myles Gray
2021-10-14
tldr - powered by Generative AI
The presentation discusses the Bitfusion integration for Kubernetes and its benefits for running AI/ML workloads on top of Kubernetes.
- Bitfusion is a client-server model that abstracts the GPU from the workload, allowing for consolidation of GPUs into fewer VMs
- Bitfusion integration for Kubernetes allows for automatic injection of the Bitfusion client into an app's deployment, enabling transparent access to GPUs
- Using Bitfusion with Kubernetes can increase efficiency and reduce energy consumption for AI/ML workloads