IBM Journey to AI blog

OCTOBER 14, 2024

. “Most data being generated every day is unstructured and presents the biggest new opportunity.” ” We wanted to learn more about what unstructured data has in store for AI. Donahue: We’re beginning to see data science and machine learning engineering teams work more closely with data engineering teams.

Business Intelligence 195

Business Intelligence AI AI Data Science 195

IBM Journey to AI blog

OCTOBER 4, 2023

Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads.

Metadata 238

Metadata AI Strategy Data Scientist Big Data 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.

Machine Learning 186

Machine Learning Metadata Automation AI 186

IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. It’s worth mentioning, however, that automation can have significant job loss implications for the workforce.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

Machine Learning 137

Machine Learning DevOps Data Scientist Data Quality 137

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. What is machine learning?

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? How Professionals Can Use Tableau for Data Science? Additionally.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

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 133

ML Data Scientist ML Engineer Data Science 133

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. As previously mentioned, a data fabric is one such architecture.

Data Quality 130

Data Quality Metadata Big Data ETL 130

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 joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. He loves combining open-source projects with cloud services.

Convolutional Neural Networks 129

Convolutional Neural Networks Algorithm Neural Network Data Science 129

IBM Journey to AI blog

AUGUST 1, 2023

More accurate analytics Business leaders and other stakeholders can perform AI-assisted analyses to interpret large amounts of unstructured data, giving them a better understanding of the market, reputational sentiment, etc. The platform comprises three powerful products: The watsonx.ai

Generative AI 176

Generative AI Data Scientist Machine Learning BERT 176

John Snow Labs

FEBRUARY 12, 2025

It provides a suite of tools for data engineering, data science, business intelligence, and analytics. Once you’re logged in, head over to the Microsoft Fabric Data Science section. In this section, we cover how-to run successfully John Snow Labs LLMs on Azure Fabric.

Large Language Models 52

Large Language Models NLP Natural Language Processing LLM 52

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. The business offers hundreds of tools for different industries.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

IBM Journey to AI blog

APRIL 18, 2024

By using complex AI algorithms and computer science methods, these AI systems can then generate human-like text, translate languages with impressive accuracy, and produce creative content that mimics different styles. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

Neural Network 256

Neural Network LLM Algorithm NLP 256

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 152

ML DevOps Data Scientist ML Engineer 152

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 97

Neural Network Convolutional Neural Networks Metadata Data Scientist 97

AWS Machine Learning Blog

OCTOBER 3, 2024

Despite the advancements in open source data science frameworks and cloud services, deploying and operating these models remains a significant challenge for organizations. To meet this demand amidst rising claim volumes, Aviva recognizes the need for increased automation through AI technology.

DevOps 94

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

Generative AI 76

Generative AI LLM AI AI 76

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 131

Computer Vision Convolutional Neural Networks ML AI 131

ODSC - Open Data Science

JULY 20, 2023

According to reports from the Wall Street Journal, the goal is to provide IBM with “greater automation capabilities.” For those unaware, Apptio is a provider of automated software cost management and other hybrid-IT tools. These moves signal to some that IBM is going in deep with automation. Customer Support Startup Cohere.io

Machine Learning 52

Machine Learning Data Science Neural Network 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

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

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. Over the years, he has helped multiple customers on data platform transformations across industry verticals.

ML 133

ML Algorithm Machine Learning Automation 133

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. Matt Marzillo is a Sr. Partner Sales Engineer at Snowflake.

IDP 123

IDP Data Scientist Categorization Data Quality 123

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.

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

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 Machine Learning Business Intelligence 52

ODSC - Open Data Science

NOVEMBER 14, 2024

By collaborating with Bayer, Cerence, Rockwell Automation, Saifr, and Siemens Digital Industries Software, Microsoft is fine-tuning AI capabilities to drive business outcomes and unlock new use cases across sectors. Rockwell Automation has introduced the FT Optix Food & Beverage model, which supports frontline manufacturing workers.

AI Modeling 40

AI Modeling AI AI Automation 40

Pickl AI

DECEMBER 16, 2024

Whether you aim for comprehensive data integration or impactful visual insights, this comparison will clarify the best fit for your goals. Key Takeaways Microsoft Fabric is a full-scale data platform, while Power BI focuses on visualising insights. Data Activator : Automates workflows, making data-triggered actions possible.

ETL 52

ETL Data Ingestion Data Integration Machine Learning 52

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.

ML 98

ML Categorization AI AI 98

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.

Large Language Models 52

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.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Marktechpost

JULY 17, 2023

Consider retail automation in the shape of an Amazon Go location, where a computer vision system monitors shoppers to ensure no one leaves with any five-finger discounts. 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.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

Snorkel AI

MAY 26, 2023

What’s really important in the before part is having production-grade machine learning data pipelines that can feed your model training and inference processes. And that’s really key for taking data science experiments into production. And so that’s where we got started as a cloud data warehouse.

ML 52

ML Python Machine Learning Data Scientist 52

Snorkel AI

MAY 26, 2023

What’s really important in the before part is having production-grade machine learning data pipelines that can feed your model training and inference processes. And that’s really key for taking data science experiments into production. And so that’s where we got started as a cloud data warehouse.

ML 52

ML Python Machine Learning Data Scientist 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 92

Generative AI LLM AI AI 92

Mlearning.ai

FEBRUARY 16, 2023

Bulk Data Load Data migration to Snowflake can be a challenge. The solution provides Snowpipe for extended data loading; however, sometimes, it’s not the best option. There can be alternatives that expedite and automate data flows. Simple solutions are easier to work with, understand, and diagnose problems.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

The MLOps Blog

OCTOBER 3, 2023

So I was able to get from growth hacking to data analytics, then data analytics to data science, and then data science to MLOps. I switched from analytics to data science, then to machine learning, then to data engineering, then to MLOps. I did the same thing with the ML platform role.

ML 52

ML Data Scientist Machine Learning Data Science 52