AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

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Machine Learning DevOps Data Scientist Data Quality 129

The MLOps Blog

MAY 31, 2023

And eCommerce companies have a ton of use cases where ML can help. The problem is, with more ML models and systems in production, you need to set up more infrastructure to reliably manage everything. And because of that, many companies decide to centralize this effort in an internal ML platform. But how to build it?

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ML Algorithm Data Drift Machine Learning 59

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI. .”

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Machine Learning Metadata Automation AI 186

IBM Journey to AI blog

JULY 17, 2023

With the recent launch of watsonx, IBM’s next-generation AI and data platform, AI is being taken to the next level with three powerful components: watsonx.ai, watsonx.data and watsonx.governance. is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI. Watsonx.ai

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AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

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Data Scientist ML ETL Data Platform 83

IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. IBM watsonx consists of the following: IBM watsonx.ai

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Large Language Models DevOps Data Science AI Modeling 238

The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals.

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ML Data Scientist Machine Learning Data Science 52

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Shut down the Studio app and relaunch for the changes to take effect.

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IDP Data Scientist Categorization Data Quality 123

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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ML Python Machine Learning Data Scientist 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

ML 52

ML Python Machine Learning Data Scientist 52

ODSC - Open Data Science

DECEMBER 7, 2023

How to Add Domain-Specific Knowledge to an LLM Based on Your Data In this article, we will explore one of several strategies and techniques to infuse domain knowledge into LLMs, allowing them to perform at their best within specific professional contexts by adding chunks of documentation into an LLM as context when injecting the query.

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Data Scientist Explainable AI Data Science Python 98

AWS Machine Learning Blog

SEPTEMBER 18, 2023

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. UHeat uses a combination of satellite imagery and open-source climate data to perform the analysis. This now takes a matter of hours with SageMaker.

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Data Scientist ML Machine Learning ML Engineer 110

The MLOps Blog

AUGUST 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals.

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ML Data Scientist Software Engineer Machine Learning 52

AWS Machine Learning Blog

OCTOBER 3, 2024

To achieve this effectively, Aviva harnesses the power of machine learning (ML) across more than 70 use cases. Previously, ML models at Aviva were developed using a graphical UI-driven tool and deployed manually. Therefore, developing and deploying more ML models is crucial to support their growing workload.

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DevOps Data Science Data Scientist ML 83

IBM Journey to AI blog

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

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Neural Network LLM Algorithm NLP 256

DataRobot Blog

MARCH 16, 2023

Why model-driven AI falls short of delivering value Teams that just focus model performance using model-centric and data-centric ML risk missing the big picture business context. Best-Practice Compliance and Governance: Businesses need to know that their Data Scientists are delivering models that they can trust and defend over time.

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Neural Network DevOps AI AI 98

Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. Data platform architects leverage Airflow to automate the movement and processing of data through and across diverse systems, managing complex data flows and providing flexible scheduling, monitoring, and alerting.

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LLM Data Platform Software Engineer Chatbots 144

AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Initially, daily forecasts for each country are formulated through ML models. Emre Uzel received his Master’s Degree in Data Science from Koç University.

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Convolutional Neural Networks Algorithm Neural Network Data Science 117

AWS Machine Learning Blog

NOVEMBER 15, 2023

Combining accurate transcripts with Genesys CTR files, Principal could properly identify the speakers, categorize the calls into groups, analyze agent performance, identify upsell opportunities, and conduct additional machine learning (ML)-powered analytics.

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Data Ingestion Metadata NLP Data Scientist 117

AWS Machine Learning Blog

DECEMBER 18, 2023

In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud.

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Data Extraction Data Ingestion ML Machine Learning 118

Marktechpost

JULY 17, 2023

Best predictive analytics tools and platforms H2O Driverless AI H2O, a relative newcomer to predictive analytics, became well-known thanks to a well-liked open source solution. IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate.

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Machine Learning Data Mining Data Scientist Data Science 98

AWS Machine Learning Blog

JULY 29, 2024

SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. Data Cloud creates a holistic customer view by turning volumes of disconnected data into a single, trusted model that’s simple to access and understand. Data Architect, Data Lake & AI/ML, serving strategic customers.

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Generative AI LLM Large Language Models AI 112

DataRobot Blog

MARCH 16, 2023

Data scientists run experiments. They work with partners in IT to harden ML use cases into production systems. To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. They iterate. They experiment again.

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Data Scientist Machine Learning ML Python 52

AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms.

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Neural Network Convolutional Neural Networks Metadata Data Scientist 77

AWS Machine Learning Blog

MARCH 29, 2023

there is enormous potential to use machine learning (ML) for quality prediction. ML-based predictive quality in HAYAT HOLDING HAYAT is the world’s fourth-largest branded baby diapers manufacturer and the largest paper tissue manufacturer of the EMEA. After the data preparation phase, a two-stage approach is used to build the ML models.

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ML Machine Learning Algorithm Data Scientist 85

AWS Machine Learning Blog

AUGUST 3, 2023

Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. Training ML algorithms for pose estimation requires a lot of expertise and custom training data.

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Computer Vision Data Scientist ML Deep Learning 70

Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

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Data Science Data Scientist Big Data Machine Learning 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Large Language Models Data Scientist Machine Learning Computer Vision 52

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

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Machine Learning Data Drift Data Science Data Scientist 52

Marktechpost

JULY 17, 2023

To educate self-driving cars on how to avoid killing people, the business concentrates on some of the most challenging use cases for its synthetic data platform. Its most recent development, made in partnership with the Toyota Research Institute, teaches autonomous systems about object permanence using synthetic data.

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Machine Learning Data Scientist Computer Vision Deep Learning 52

AWS Machine Learning Blog

MARCH 5, 2025

About the authors Samantha Stuart is a Data Scientist with AWS Professional Services, and has delivered for customers across generative AI, MLOps, and ETL engagements. He has touched on most aspects of these projects, from infrastructure and DevOps to software development and AI/ML.

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ODSC - Open Data Science

OCTOBER 20, 2023

You’ll use MLRun, Langchain, and Milvus for this exercise and cover topics like the integration of AI/ML applications, leveraging Python SDKs, as well as building, testing, and tuning your work. In this session, we’ll demonstrate how you can fine-tune a Gen AI model, build a Gen AI application, and deploy it in 20 minutes.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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Auto-classification Machine Learning Data Science Data Platform 52

Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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Auto-classification Machine Learning Data Science Data Platform 52

Heartbeat

DECEMBER 7, 2023

Quality and Consistency: Data products must be built using standardized data models, definitions, and requirements and rigorously tested to ensure quality, reliability, and interoperability. ? Collaboration: Self-service data platforms should facilitate collaboration and knowledge sharing across different teams and domains.

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Metadata Data Platform Deep Learning Data Quality 52

TheSequence

SEPTEMBER 29, 2024

🔎 ML Research AlphaProteo Google DeepMind published a paper introducing AlphaProteo, a new family of model for protein design. 🛠 Real World AI Data Apps at Airbnb Airbnb discusses Sandcastle, an internal framework that allow data scientists rapidly protype data driven apps —> Read more.

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OpenAI Chatbots Data Scientist AI Chatbots 52