IBM Journey to AI blog

MAY 21, 2024

At the time, Sevilla FC could efficiently access and use quantitative player data in a matter of seconds, but the process of extracting qualitative information from the database was much slower in comparison. In the case of Sevilla FC, using big data to recruit players had the potential to change the core business.

NLP 211

NLP Natural Language Processing Explainability Data Scientist 211

Pickl AI

APRIL 14, 2023

Falling into the wrong hands can lead to the illicit use of this data. Hence, adopting a Data Platform that assures complete data security and governance for an organization becomes paramount. In this blog, we are going to discuss more on What are Data platforms & Data Governance.

Data Platform 52

Data Platform Data Integration Data Ingestion Automation 52

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.

LLM 147

LLM Data Platform Software Engineer Chatbots 147

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

Generative AI 78

Generative AI LLM AI AI 78

AWS Machine Learning Blog

OCTOBER 20, 2023

A framework for vending new accounts is also covered, which uses automation for baselining new accounts when they are provisioned. You can start small with one account for your data platform foundations for a proof of concept or a few small workloads.

ML 135

ML Data Scientist ML Engineer Data Science 135

Flipboard

NOVEMBER 24, 2023

This offering enables BMW ML engineers to perform code-centric data analytics and ML, increases developer productivity by providing self-service capability and infrastructure automation, and tightly integrates with BMW’s centralized IT tooling landscape. A data scientist team orders a new JuMa workspace in BMW’s Catalog.

ML 149

ML DevOps Data Scientist ML Engineer 149

AWS Machine Learning Blog

DECEMBER 7, 2023

Additionally, for insights on constructing automated workflows and crafting machine learning pipelines, you can explore AWS Step Functions for comprehensive guidance. He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation.

Convolutional Neural Networks 131

Convolutional Neural Networks Algorithm Neural Network Data Science 131

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.

Data Extraction 123

Data Extraction Data Ingestion ML Machine Learning 123

AWS Machine Learning Blog

MAY 15, 2023

We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs. Forecast automates much of the time-series forecasting process, enabling you to focus on preparing your datasets and interpreting your predictions.

Neural Network 98

Neural Network Convolutional Neural Networks Metadata Data Scientist 98

AWS Machine Learning Blog

FEBRUARY 13, 2024

The implementation of an AI-powered automated self-checkout system delivers an improved retail customer experience through innovation, while eliminating human errors in the checkout process. Integrating FSx for Lustre enables fast parallel data access for efficient model retraining with hundreds of new SKUs monthly.

Computer Vision 133

Computer Vision Convolutional Neural Networks ML AI 133

Pickl AI

OCTOBER 10, 2024

Summary: Data transformation tools streamline data processing by automating the conversion of raw data into usable formats. These tools enhance efficiency, improve data quality, and support Advanced Analytics like Machine Learning. These tools automate the process, making it faster and more accurate.

ETL 52

ETL Data Quality Business Intelligence Machine Learning 52

Marktechpost

JUNE 5, 2024

You may use OpenRefine for more than just data cleaning; it can also help you find mistakes and outliers that could compromise your data’s quality. Apache Griffin Apache Griffin is an open-source data quality tool that aims to enhance big data processes. It has a quick and clear grasp of data quality issues.

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Data Quality Metadata Data Integration ETL 113

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.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

ODSC - Open Data Science

OCTOBER 9, 2024

By automating repetitive tasks and generating boilerplate code, these tools free up time for engineers to focus on more complex, creative aspects of software development. Well, it is offering a way to automate the time-consuming process of writing and running tests. Just keep in mind, that this shouldn’t replace the human element.

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Software Engineer Software Development DevOps Machine Learning 40

The MLOps Blog

MARCH 15, 2023

As the volume of data keeps increasing at an accelerated rate, these data tasks become arduous in no time leading to an extensive need for automation. This is what data processing pipelines do for you. Let’s understand how the other aspects of a data pipeline help the organization achieve its various objectives.

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ETL Categorization Data Integration Automation 59

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks. MongoDB, developed by MongoDB Inc.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 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. Bosco Albuquerque is a Sr.

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IDP Data Scientist Categorization Data Quality 123

Marktechpost

JULY 18, 2023

The entire ETL procedure is automated using an ETL tool. ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Large-scale businesses and Big Data firms are its primary target market.

ETL 52

ETL Data Integration Business Intelligence Automation 52

ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

Pickl AI

OCTOBER 6, 2024

A successful load ensures Analysts and decision-makers access to up-to-date, clean data. Common ETL Tools and Technologies Several tools facilitate the ETL process, helping organisations automate and streamline data integration. Apache NiFi : An open-source tool designed for data flow automation and ETL processes.

ETL 52

ETL Data Quality Data Integration Big Data 52

AWS Machine Learning Blog

AUGUST 3, 2023

Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. Aamna Najmi is a Data Scientist with AWS Professional Services. She has experience in working on data platform and AI/ML projects in the healthcare and life sciences vertical.

Computer Vision 91

Computer Vision Data Scientist ML Deep Learning 91

ODSC - Open Data Science

JULY 19, 2023

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. For the customer, this helps them reduce the time it takes to bootstrap a new data science project and get it to production.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

John Snow Labs

AUGUST 7, 2024

For example, McKinsey points out that GenAI can automate the summarization of vast amounts of data from patient logs, which is a time-consuming task, thus freeing up healthcare professionals to focus on more complex patient needs.

Generative AI 59

Generative AI AI AI Algorithm 59

Pickl AI

JUNE 12, 2023

Disadvantages of Tableau for Data Science However, apart from the advantages, Tableau for Data Science also has its own disadvantages. These can be explained as follows: Tableau doesn’t have the feature of integration and while Data Scientists make use of automation and integrations.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 6, 2024

Experimenting with LLMs to automate fact generation from QA ground truth using LLMs can help. Automate, but verify, with LLMs – Use LLMs to generate initial ground truth answers and facts, with a human review and curation to align with the desired assistant output standards.

Generative AI 93

Generative AI LLM AI AI 93

John Snow Labs

FEBRUARY 29, 2024

For example, McKinsey points out that Gen AI can automate the summarization of vast amounts of data from patient logs, which is a time-consuming task, thus freeing up healthcare professionals to focus on more complex patient needs​​.

Generative AI 40

Generative AI AI AI Algorithm 40

IBM Journey to AI blog

JULY 7, 2023

Use dedicated data security software. An integrated data protection system can protect your assets by monitoring them, automating access control, setting up notifications, and auditing your password management. Secure databases in the physical data center, big data platforms and the cloud.

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Categorization Automation Big Data Data Platform 100

IBM Journey to AI blog

JUNE 15, 2023

To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform. Let’s dive into the analytics landscape and what makes watsonx.data unique.

Big Data 275

Big Data Automation Artificial Intelligence Artificial Intelligence 275

Marktechpost

NOVEMBER 1, 2024

From data preparation to model deployment, it provides a comprehensive solution. RapidMiner’s versatility for a wide range of data types includes the ability to analyze text, pictures, and audio. Yellowfin’s analytics platform and first-rate customer service allow users to gain insights quickly and effectively.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 97

Pickl AI

JUNE 11, 2024

In-Memory Computing This technology allows for storing and processing data in RAM for faster query response times, enabling real-time analytics. Big Data Integration Data warehouses are increasingly incorporating big data technologies to handle vast volumes of data from diverse sources.

ETL 52

ETL Data Mining Data Integration Actionable Intelligence 52

IBM Journey to AI blog

AUGUST 3, 2023

The risks include non-compliance to regulatory requirements and can lead to excessive hoarding of sensitive data when it’s not necessary. It’s both a data security and privacy issue.

Natural Language Processing 179

Natural Language Processing Data Discovery Automation Big Data 179

TransOrg Analytics

SEPTEMBER 24, 2024

Our cloud data engineering services are designed to transform your business by creating robust and scalable data foundations across any scale. We provide comprehensive solutions to assess, architect, build, deploy, and automate your data engineering landscape on the leading cloud platforms.

ETL 52

ETL LLM Data Ingestion Automation 52

TransOrg Analytics

SEPTEMBER 24, 2024

Our cloud data engineering services are designed to transform your business by creating robust and scalable data foundations across any scale. We provide comprehensive solutions to assess, architect, build, deploy, and automate your data engineering landscape on the leading cloud platforms.

ETL 52

ETL LLM Data Ingestion Automation 52

Pickl AI

DECEMBER 25, 2024

Key Takeaways Business Analytics targets historical insights; Data Science excels in prediction and automation. Business Analytics requires business acumen; Data Science demands technical expertise in coding and ML. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently.

Data Science 52

Data Science Data Scientist Machine Learning Algorithm 52