Big Data IoT Forum

rss feed

Big Data IoT Forum's Latest Posts

The Future of AI Is Hybrid

| February 22, 2024
The Future of AI Is Hybrid

By Alex Woodie—Artificial intelligence today is largely something that occurs in the cloud, where huge AI models are trained and deployed on massive racks of GPUs. But as AI makes its inevitable migration into to the applications and devices that people use every day, it will need to run on smaller compute devices deployed to […]

Continue Reading

2024 Cloud Predictions

| January 19, 2024
2024 Cloud Predictions

By Alex Woodie–For many, the cloud is already the defacto platform for storing and processing big data. In 2024, industry experts predict cloud computing will grow and evolve into something different as the data gets bigger and analytics and AI become more critical to business success. Surprise bills have cast a cloud of sorts on […]

Continue Reading

A New Era in Clinical Trials

| December 15, 2023
A New Era in Clinical Trials

By Edward Triebell Current industry challenges present an opportunity for innovation and the adoption of new solutions, particularly in addressing barriers related to patient recruitment, engagement, and retention. The COVID-19 pandemic opened the door for some significant and noteworthy changes to the way our industry could accomplish clinical trials with a forced mandate to decentralize […]

Continue Reading

How Hybrid AI Will Enable Far Greater AI Use

| November 17, 2023
How Hybrid AI Will Enable Far Greater AI Use

By Rob Enderle –Let’s talk about some of the benefits of a hybrid approach to AI implementation on the desktop and in smartphones. Lower Costs and Server Loading As we ramp up large language models (LLMs), we are discovering that they use a lot of resources that create capacity issues even though the use of […]

Continue Reading

Key Findings on AI in the SaaS Industry

| October 26, 2023
Key Findings on AI in the SaaS Industry

By Ali Azhar–The software-as-a-service (SaaS) industry has witnessed an AI rush in 2023, primarily as a result of the increase in the capabilities and demand for generative AI. While the surge of AI can help support innovation in the SaaS industry, there are some concerns about the quality of data being used by AI.   Panintellgence, a […]

Continue Reading

GenAI Adoption, By the Numbers

| September 18, 2023
GenAI Adoption, By the Numbers

By Alex Woodie—As the freight train that is generative AI continues barreling down the track to an uncertain destination, we thought it would be good to take some time to stop and ponder where we’re currently at in terms of GenAI adoption. It’s been quite a ride since the launch of ChatGPT in late November […]

Continue Reading

How to Pick a Generative AI Partner

| August 9, 2023
How to Pick a Generative AI Partner

By Rob Enderle—Back in July, I had a briefing from Dell on its impressive new generative AI program which is tied tightly to Nvidia for that technology but uses Dell’s extensive knowledge of how to use this innovative technology for customer outreach. The program is robust, scalable and clearly had a lot of thought put […]

Continue Reading

Yes, Real-Time Streaming Data Is Still Growing

| July 18, 2023
Yes, Real-Time Streaming Data Is Still Growing

By Alex Woodie–A funny thing happened while the tech world was focused almost exclusively on ChatGPT over the past eight months: Adoption of other cutting-edge technologies kept growing. One of those is real-time stream data processing, interest in which has been quietly building over the past couple of years for several high-impact use cases. IDC says […]

Continue Reading

What Is a Digital Twin?

| June 9, 2023
What Is a Digital Twin?

 by SCOTT MARTIN –A digital twin is a virtual representation — a true-to-reality simulation of physics and materials — of a real-world physical asset or system, which is continuously updated. Step inside an auto assembly plant. See workers ratcheting down nuts to bolts. Hear the whirring of air tools. Watch pristine car bodies gliding along the […]

Continue Reading

Galileo Charts Data Quality Course-Correction for AI Teams

| May 16, 2023
Galileo Charts Data Quality Course-Correction for AI Teams

By Alex Woodie-For several months, the Silicon Valley startup Galileo has been selling an AI-powered product designed to help correct data quality issues for natural language processing (NLP) models and applications. Today the company announced that it’s expanding that core product out to help data science teams correct data problems impacting computer vision (CV) models […]

Continue Reading