AWS Machine Learning Blog

FEBRUARY 18, 2025

Recognizing this challenge as an opportunity for innovation, F1 partnered with Amazon Web Services (AWS) to develop an AI-driven solution using Amazon Bedrock to streamline issue resolution. The objective was to use AWS to replicate and automate the current manual troubleshooting process for two candidate systems.

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AWS Machine Learning Blog

JUNE 5, 2025

By using the AWS Experience-Based Acceleration (EBA) program, they can enhance efficiency, scalability, and maintainability through close collaboration. To address these challenges and streamline modernization efforts, AWS offers the EBA program.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Around this time, industry observers reported NVIDIA’s strategy pivoting from its traditional gaming and graphics focus to moving into scientific computing and data analytics.

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Flipboard

DECEMBER 13, 2024

The explosion of data creation and utilization, paired with the increasing need for rapid decision-making, has intensified competition and unlocked opportunities within the industry. As of September 2024, the AI solution supports three core applications: Clearwater Intelligent Console (CWIC) Clearwaters customer-facing AI application.

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DagsHub

JULY 25, 2024

Top 10 Deep Learning Platforms The top ten deep-learning platforms that will be driving the market in 2024 are examined in this section. Launched by Microsoft, Azure ML provides a comprehensive suite of tools and services to support the entire machine learning lifecycle, from data preparation to model deployment and management.

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ODSC - Open Data Science

JANUARY 29, 2024

Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses. You may be expected to use other cloud platforms like AWS, GCP, and others, so don’t neglect them and at least be vaguely familiar with how they work.

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DagsHub

APRIL 21, 2024

A traditional machine learning (ML) pipeline is a collection of various stages that include data collection, data preparation, model training and evaluation, hyperparameter tuning (if needed), model deployment and scaling, monitoring, security and compliance, and CI/CD.

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact.

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Pickl AI

NOVEMBER 4, 2024

The global data warehouse as a service market was valued at USD 9.06 billion by 2031, growing at a CAGR of 25.55% during the forecast period from 2024 to 2031. This rapid growth highlights the increasing reliance on data warehouses for informed decision-making and strategic planning. billion in 2024 to USD 774.00

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Pickl AI

NOVEMBER 28, 2024

billion in 2024, at a CAGR of 10.7%. R and Other Languages While Python dominates, R is also an important tool, especially for statistical modelling and data visualisation. Data Transformation Transforming data prepares it for Machine Learning models. billion in 2023 to $181.15

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phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches.

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AWS Machine Learning Blog

DECEMBER 5, 2024

RAG applications on AWS RAG models have proven useful for grounding language generation in external knowledge sources. This configuration might need to change depending on the RAG solution you are working with and the amount of data you will have on the file system itself. For IAM role , choose Create a new role.

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