Generative Data Intelligence

Tag: retraining

Host the Whisper Model on Amazon SageMaker: exploring inference options | Amazon Web Services

OpenAI Whisper is an advanced automatic speech recognition (ASR) model with an MIT license. ASR technology finds utility in transcription services, voice assistants, and...

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention | Amazon Web Services

This post is co-written with Jayadeep Pabbisetty, Sr. Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large...

The Impact of AI on The Global Economy: 8 Trends And Initiatives

Artificial intelligence is transforming economies worldwide through automation, enhanced efficiency, and increased competition. This article examines nine key trends and initiatives illustrating AI’s...

Modernizing data science lifecycle management with AWS and Wipro | Amazon Web Services

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination...

Startups Scramble to Build Immediate AI Security

COMMENTARYAt the start of 2003, nobody knew the industry would be handed an imminent deadline to secure artificial intelligence (AI). Then ChatGPT changed everything....

LLMs, RAGs and a Smart Golden repository

In today’s world when data has become the integral driver for the businesses, the need for the streamlining and effectively managing the dataflows has...

Innovations in AI: Transforming Contact Center Operations

Artificial intelligence (AI) is revolutionizing the capabilities and efficiency of contact center operations. From chatbots to predictive analytics, AI-driven technologies are enhancing customer...

Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker | Amazon Web Services

Customers are faced with increasing security threats and vulnerabilities across infrastructure and application resources as their digital footprint has expanded and the business impact...

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator | Amazon Web Services

This post was written in collaboration with Ankur Goyal and Karthikeyan Chokappa from PwC Australia’s Cloud & Digital business. Artificial intelligence (AI) and machine...

How AWS Prototyping enabled ICL-Group to build computer vision models on Amazon SageMaker | Amazon Web Services

This is a customer post jointly authored by ICL and AWS employees. ICL is a multi-national manufacturing and mining corporation based in Israel that...

Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs | Amazon Web Services

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. Amazon SageMaker notebook...

Build well-architected IDP solutions with a custom lens – Part 3: Reliability | Amazon Web Services

The IDP Well-Architected Custom Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching...

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