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Achieving scalable and distributed technology through expertise: Harshit Sharan’s strategic impact

Dataconomy

He spearheads innovations in distributed systems, big-data pipelines, and social media advertising technologies, shaping the future of marketing globally. In 2015, seeking greater challenges, he transitioned to the marketing technology domain, marking a pivotal career shift. His work today reflects this vision.

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TensorFlow

Dataconomy

TensorFlow has revolutionized the field of machine learning and deep learning since its inception. Developed by Google, this open-source framework allows developers and researchers to efficiently model complex data structures and perform high-level computations. Released as open-source in 2015 under the Apache 2.0

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. Dhawal Patel is a Principal Machine Learning Architect at AWS. He currently is working on Generative AI for data integration.

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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

ML 101
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

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Architect a mature generative AI foundation on AWS

Flipboard

This means gateway, data pipelines, data storage, training infrastructure, and other components are deployed on an isolated infrastructure per tenant. Throughout her career, she has shared her expertise at numerous conferences and has authored several blogs in the Machine Learning and Generative AI domains.

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MLOps and the evolution of data science

IBM Journey to AI blog

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.