Artificial Inteligence Artificial Intelligence IoT Technology 
CIO
JANUARY 24, 2024
Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. AI’s broad applicability and the popularity of LLMs like ChatGPT have IT leaders asking: Which AI innovations can deliver business value to our organization without devouring my entire technology budget?
O'Reilly Media - Ideas
FEBRUARY 4, 2019
How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Machine Learning model lifecycle management.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
APRIL 16, 2024
While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data.
Sunflower Lab
JUNE 8, 2023
User input merged with automation – the AI way of getting things done has taken the world by storm with businesses eager to tap into the potential of this new technology. Like most technologies, AI serves to reduce the effort and thus, the time involved. Will generative AI really allow businesses to reach their customers better?
Openxcell
MARCH 30, 2023
The 21st century has seen the advent of some ingenious inventions and technology. From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more.
CIO
NOVEMBER 27, 2023
On top of that, Gen AI, and the large language models (LLMs) that power it, are super-computing workloads that devour electricity.Estimates vary, but Dr. Sajjad Moazeni of the University of Washington calculates that training an LLM with 175 billion+ parameters takes a year’s worth of energy for 1,000 US households.
Xicom
MARCH 14, 2023
Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?
Expert insights. Personalized for you.
281 
Let's personalize your content