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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

These APIs simplify user interactions and expedite the development of data pipelines. Released as open-source in 2015 under the Apache 2.0 High-level APIs Google encourages the use of high-level APIs, such as Keras, for building machine learning models. license, it quickly gained traction among developers and researchers.

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

AWS Machine Learning Blog

This dataset consists of human and machine annotated airborne images collected by the Civil Air Patrol in support of various disaster responses from 2015-2019. In the following sections, we dive into each pipeline in more detail. Data pipeline The following diagram shows the workflow of the data pipeline.

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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. Deployment strategy If strict isolation is required for use cases, then each tenant can have dedicated instances of compute, storage, and model access.

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

AWS Machine Learning Blog

His entrepreneurial journey began with his college startup, STAK, which was later acquired by Carvertise with Aaron contributing significantly to their recognition as Tech Startup of the Year 2015 in Delaware. David Dellsperger is a Senior Staff Software Engineer and Technical Lead of the Agent Creator product at SnapLogic.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. His entrepreneurial journey began with his college startup, STAK, which was later acquired by Carvertise with Aaron contributing significantly to their recognition as Tech Startup of the Year 2015 in Delaware.

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