DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. With a goal to help data science teams learn about the application of AI and ML, DataRobot shares helpful, educational blogs based on work with the world’s most strategic companies.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. And although our track focuses on generative AI, many other tracks have related sessions.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Let’s learn about the services we will use to make this happen.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

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Flipboard

MARCH 4, 2025

In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process. Interactive exploration -The generative AI-driven chat interface allows users to dive deeper into the assessment, asking follow-up questions and gaining a better understanding of the recommendations.

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Towards AI

DECEMBER 10, 2023

Last Updated on December 11, 2023 by Editorial Team Author(s): Amin Kamali Originally published on Towards AI. The previous parts of this blog series demonstrated how to build an ML application that takes a YouTube video URL as input, transcribes the video, and distills the content into a concise and coherent executive summary.

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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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ML @ CMU

DECEMBER 12, 2024

Thinking about AI assistants for tasks beyond just the digital world? And most importantly, how do both human users and AI assistants evolve together through everyday interactions? Through our PrISM project, we aim to overcome these challenges by designing interventions and developing human-AI collaboration strategies.

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PyImageSearch

DECEMBER 18, 2023

But again, stick around for a surprise demo at the end. ? This format made for a fast-paced and diverse showcase of ideas and applications in AI and ML. From healthcare and education to finance and arts, the demos covered a wide spectrum of industries and use cases.

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Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. For example: input = "How is the demo going?" Refer to demo-model-builder-huggingface-llama2.ipynb output = "Comment la démo va-t-elle?"

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AWS Machine Learning Blog

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. Watch this video demo for a step-by-step guide. The following diagram illustrates the end-to-end flow.

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Flipboard

APRIL 24, 2025

Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment. The demo code is available in the GitHub repository. Thomas Matthew is an AL/ML Engineer at Cisco.

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AWS Machine Learning Blog

MARCH 19, 2025

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. By harnessing the latest advancements in generative AI, we empower employees to unlock new levels of efficiency and creativity within the tools they already use every day.

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Dataconomy

JUNE 16, 2023

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. DLP solutions help organizations comply with data privacy regulations, such as GDPR, HIPAA, PCI DSS, and others ( Image Credit ) What is Gamma AI? How does it work?

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Iguazio

JUNE 9, 2025

In less than three years, gen AI has become a staple technology in the business world. In November of 2022, OpenAI launched ChatGPT, with explosive growth of over 1 million users in just five days, galvanizing the widespread use of gen AI. We introduce their new solution model deployment - NVIDIA NIM.

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Flipboard

APRIL 23, 2025

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. See the OWASP Top 10 for Large Language Model Applications to learn more about the unique security risks associated with generative AI applications.

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AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. This intuitive platform enables the rapid development of AI-powered solutions such as conversational interfaces, document summarization tools, and content generation apps through a drag-and-drop interface.

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AWS Machine Learning Blog

JANUARY 6, 2025

It usually comprises parsing log data into vectors or machine-understandable tokens, which you can then use to train custom machine learning (ML) algorithms for determining anomalies. You can adjust the inputs or hyperparameters for an ML algorithm to obtain a combination that yields the best-performing model. scikit-learn==0.21.3

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Flipboard

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

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Flipboard

MAY 1, 2025

Amazon SageMaker AI provides the ability to host LLMs without worrying about scaling or managing the undifferentiated heavy lifting. You can deploy your model or LLM to SageMaker AI hosting services and get an endpoint that can be used for real-time inference. Lets understand the difference between both.

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Towards AI

NOVEMBER 18, 2024

Last Updated on November 18, 2024 by Editorial Team Author(s): Barhoumi Mosbeh Originally published on Towards AI. coder:32b The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and… ollama.com You can also try out the model on the demo page of Hugging Face: Qwen2.5

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Flipboard

DECEMBER 11, 2024

Second, because data, code, and other development artifacts like machine learning (ML) models are stored within different services, it can be cumbersome for users to understand how they interact with each other and make changes. SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI.

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IBM Data Science in Practice

MARCH 4, 2024

Today I am excited to announce our next major release that supports AI Anywhere. AI Anywhere means two things: Monitors any AI models Installs Anywhere In addition, we are pleased to announce powerful additional features for Governance Risk and Compliance featuring workflows with approvals and dashboards, supporting the management of AI.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Model server overview A model server is a software component that provides a runtime environment for deploying and serving machine learning (ML) models. The primary purpose of a model server is to allow effortless integration and efficient deployment of ML models into production systems. For MMEs, each model.py The full model.py

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Data Science Dojo

JULY 17, 2023

In recent years, there has been a growing interest in the use of artificial intelligence (AI) for data analysis. AI tools can automate many of the tasks involved in data analysis, and they can also help businesses to discover new insights from their data. Top 10 AI tools for data analysis AI Tools for Data Analysis 1.

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O'Reilly Media

MARCH 25, 2025

Someone hacks together a quick demo with ChatGPT and LlamaIndex. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges?

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IBM Data Science in Practice

MAY 21, 2024

watsonx.governance has been touted as t he most comprehensive AI Governance tool as it covers multiple types of AI Governance requirements all in a single platform. IBM covers three different types of AI Governance all within a single platform. IBM covers three different types of AI Governance all within a single platform.

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Flipboard

APRIL 1, 2025

Foundation models (FMs) and generative AI are transforming enterprise operations across industries. McKinsey & Companys recent research estimates generative AI could contribute up to $4.4 McKinsey & Companys recent research estimates generative AI could contribute up to $4.4

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O'Reilly Media

FEBRUARY 25, 2025

On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. Heres a quick demo of what it does.

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DataRobot Blog

SEPTEMBER 1, 2022

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. At the same time, AI remains complex and out of reach for many. Operational Efficiency with AI Inside. To prevent delays in productionalizing AI , many organizations invest in MLOps.

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Flipboard

MAY 8, 2025

ELI5: Understanding MCP Imagine you have a single universal plug that fits all your devicesthat’s essentially what the Model Context Protocol (MCP) is for AI. MCP is an open standard (think USB-C for AI integrations ) that allows AI models to connect to many different apps and data sources in a consistent way.

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Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. WE'RE GROWING - COME GROW WITH US!

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Flipboard

JANUARY 9, 2025

In this post, we propose a solution using DigitalDhan , a generative AI-based solution to automate customer onboarding and digital lending. Generative AI assistants excel at handling these challenges. Amazon Textract is used to extract text information from the uploaded documents.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. Deutsche Bahn has been at the forefront in adopting AI, using SageMaker Studio as a key AI platform.

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Snorkel AI

JUNE 27, 2024

As part of the SCA, the companies have launched an accelerator program for Amazon SageMaker customers that is designed to deliver private fine-tuned generative AI models along with co-developed benchmarks that evaluate model performance against an organization’s unique goals and objectives.

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AWS Machine Learning Blog

FEBRUARY 11, 2025

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. Today, AWS AI released GraphStorm v0.4. We encourage ML practitioners working with large graph data to try GraphStorm.

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