AWS Machine Learning Blog

FEBRUARY 21, 2025

Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools. Apache HBase was employed to offer real-time key-based access to data.

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Data Science Data Scientist Data Ingestion DevOps 78

AWS Machine Learning Blog

DECEMBER 5, 2024

With the launch of the Automated Reasoning checks in Amazon Bedrock Guardrails (preview), AWS becomes the first and only major cloud provider to integrate automated reasoning in our generative AI offerings. Click on the image below to see a demo of Automated Reasoning checks in Amazon Bedrock Guardrails.

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Responsible AI AI Tools AI AI 108

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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Machine Learning Automation AI AI 225

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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Machine Learning Neural Network Algorithm Computer Vision 230

ODSC - Open Data Science

MARCH 12, 2025

Initially, organizations struggled with versioning, monitoring, and automating model updates. As MLOps matured, discussions shifted from simple automation to complex orchestration involving continuous integration, deployment (CI/CD), and model drift detection.

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IBM Journey to AI blog

JANUARY 10, 2024

AI operates on three fundamental components: data, algorithms and computing power. Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models.

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Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Unite.AI

OCTOBER 14, 2024

By helping customers integrate artificial intelligence (AI) and machine learning (ML) into their key business operations, Quantum helps customers to effectively manage and unlock meaningful value from their unstructured data, creating actionable business insights that lead to better business decisions.

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ML Data Ingestion Data Analysis Machine Learning 195

IBM Journey to AI blog

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI.

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Metadata AI Strategy Data Scientist Big Data 238

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

IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

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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 137

IBM Journey to AI blog

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI. Watsonx.ai

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Generative AI Auto-complete Automation AI 171

AWS Machine Learning Blog

AUGUST 4, 2023

Use the newly launched SageMaker provided project template for Salesforce Data Cloud integration to streamline implementing the preceding steps by providing the following templates: An example notebook showcasing data preparation, building, training, and registering the model. Choose clone repo for both notebooks.

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ML Categorization AI AI 98

IBM Journey to AI blog

JULY 27, 2023

Unsurprisingly, the hunger for AI-based solutions has created high demand for education around Automation. Equipping partners to embed time-tested AI In addition to the expertise gap organizations face in adopting AI, another barrier is the cost required to build ML and AI models from scratch.

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Natural Language Processing AI AI Generative AI 176

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 Data Drift Algorithm Machine Learning 59

AWS Machine Learning Blog

JUNE 18, 2024

The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion. The objective is to automate data integration from various sensor manufacturers for Accra, Ghana, paving the way for scalability across West Africa.

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Generative AI Data Ingestion Python LLM 131

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 AI 97

IBM Journey to AI blog

APRIL 18, 2024

Today’s AI, including generative AI (gen AI), is often called narrow AI and it excels at sifting through massive data sets to identify patterns, apply automation to workflows and generate human-quality text. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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Neural Network LLM Algorithm NLP 256

Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. It automates the execution of jobs, coordinates dependencies between tasks, and gives organizations a central point of control for monitoring and managing workflows.

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LLM Data Platform Software Engineer Chatbots 147

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

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 121

AWS Machine Learning Blog

DECEMBER 20, 2023

A common cybersecurity challenge has been two-fold: Consuming logs from digital resources that come in different formats and schemas and automating the analysis of threat findings based on those logs. After the security log data is stored in Amazon Security Lake, the question becomes how to analyze it.

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ML Algorithm Machine Learning Automation 133

AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. Their objective was to fine-tune an existing computer vision machine learning (ML) model for SKU detection. Log model training metrics.

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Computer Vision Convolutional Neural Networks ML AI 131

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. To meet this demand amidst rising claim volumes, Aviva recognizes the need for increased automation through AI technology.

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DevOps Data Science Data Scientist ML 94

AWS Machine Learning Blog

MARCH 5, 2025

Scaling ground truth generation with a pipeline To automate ground truth generation, we provide a serverless batch pipeline architecture, shown in the following figure. The serverless batch pipeline architecture we presented offers a scalable solution for automating this process across large enterprise knowledge bases. 201% $12.2B

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Generative AI LLM AI AI 76

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. He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation.

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Convolutional Neural Networks Algorithm Neural Network Data Science 129

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

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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DevOps AI AI Neural Network 98

AWS Machine Learning Blog

NOVEMBER 15, 2023

In order analyze the calls properly, Principal had a few requirements: Contact details: Understanding the customer journey requires understanding whether a speaker is an automated interactive voice response (IVR) system or a human agent and when a call transfer occurs between the two.

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Data Ingestion Metadata NLP Data Scientist 117

Unite.AI

JUNE 4, 2024

Google Cloud’s AI and machine learning services, including the new generative AI models, empower businesses to harness advanced analytics, automate complex processes, and enhance customer experiences. This led to inconsistent data standards and made it difficult for them to gain actionable insights.

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Data Ingestion Data Platform Machine Learning Generative AI 130

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 97

DataRobot Blog

AUGUST 1, 2022

Over the past 10 years, DataRobot has brought to market new technologies at an unmatched pace, from our early days pioneering AutoML to the industry’s first automated time series capabilities to delivering hundreds of new and enhanced features last year when we introduced DataRobot AI Cloud. The Forrester Wave™: AI/ML Platforms, Q3 2022.

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AI AI Data Platform Explainability 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 123

Unite.AI

DECEMBER 13, 2024

Travel involves dreaming, planning, booking, and sharingprocesses that generate immense amounts of data. However, this data has remained largely underutilized. Yanoljas commitment to leveraging AI and advanced data platforms to improve these experiences was inspiring.

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Software Engineer Data Quality Data Platform Automation 100

Unite.AI

OCTOBER 23, 2024

We leverage this data to finetune a foundation model with Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). This capability is grounded in advanced ML models trained on extensive linguistic and psychological data. Persado’s impact is easily measured.

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Machine Learning Continuous Learning Generative AI Algorithm 147

Marktechpost

JULY 17, 2023

Data gathering, pre-processing, modeling, and deployment are all steps in the iterative process of predictive analytics that results in output. We can automate the procedure to deliver forecasts based on new data continuously fed throughout time. This tool’s user-friendly UI consistently receives acclaim from users.

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Machine Learning Data Mining Data Scientist Data Science 98