Analytics
Analytics | News, how-tos, features, reviews, and videos
![employees technology planning data [Computerworld, January-February 2017 - HR IT]](https://images.techhive.com/images/article/2017/01/computerworld_january-february_2017_hr_it_workforce_analytics_1200x800-100706136-small.3x2.jpg?auto=webp&quality=85,70)
How AI-based search assistant Glean Chat is built to boost productivity
Glean Chat, a generative AI application that builds on the Palo Alto-based startup’s knowledge graph and enterprise search, can connect to enterprise applications to provide conversational search experience, along with notes about...
Snowflake’s Government and Education Data Cloud focuses on security, data tools
The industry-specific data cloud is designed to help government entities meet security and compliance standards.
Bringing observability to the modern data stack
Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs.
ChatGPT’s parasitic machine
What do ChatGPT and other large language models owe to the human creators who provide the information they train on? What if creators stop making their insights publicly available?
When the rubber duck talks back
The real value of AI coding assistants isn’t any particular piece of code they get ‘right’ or ‘wrong’ but the process of collaborating with them.
5 best practices for software development partnerships
Partnerships can accelerate technological innovation in agile, devops, and data science. Just make sure you start with a strong foundation in place.
Why Microsoft is combining all its data analytics products into Fabric
The integration of its existing products such as Synapse and Power BI will help enterprises combine workloads while reducing IT integration overhead, complexity and costs.
Are large language models wrong for coding?
When the goal is accuracy, consistency, mastering a game, or finding the one right answer, reinforcement learning models beat generative AI.
Smart packaging with IoT goes beyond better tracking
Smarter boxes and a data-driven approach to product delivery create new opportunities for improving both products and customer engagement. Here’s how to seize them.
InfoWorld Technology of the Year Awards 2023 Nominations Now Open
Submission Deadline: June 30, 2023 5:00PM ET
5 newer data science tools you should be using with Python
Already using NumPy, Pandas, and scikit-learn? Here are five more powerful Python data science tools ready for a place in your toolkit.
How to explain data meshes, fabrics, and clouds
Empowering data-driven organizations requires the right tools and practices—and a boss who gets it. Here's how to explain critical data concepts to your CEO.
Understand the 3 major approaches to data migration
Application-based, file-based, and block-based migration all have their own merits and use cases. Choosing the right solution starts with understanding their differences.
14 popular AI algorithms and their uses
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.
![Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-small.3x2.jpg?auto=webp&quality=85,70)
R tutorials: Learn R programming for data science
Search for R tutorials by task, topic, or package. Many include videos which are shorter than 10 minutes
Mojo language marries Python and MLIR for AI development
New programming language aims to combine full Python compatibility with low-level programming features, along with the ability to harness GPUs and other AI accelerators.
Do more with R: RStudio addins and keyboard shortcuts
Speed up your R programming workflow with RStudio addins and customized keyboard shortcuts
Optimize Apache Kafka by understanding consumer groups
Getting the most out of any Apache Kafka event streaming deployment requires a thorough understanding of Kafka consumer groups. Here’s what you need to know.
How to get started with event-driven microservices
Event-driven microservices are an excellent way to deliver both historical and new data to all of the systems and teams that need it, but they come with additional overhead and management requirements. Start small.
![Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-medium.3x2.jpg?auto=webp&quality=85,70)
