Partnered with artificial intelligence (AI) company Fundamental Amazon and raised $255 million.
The company that developed “Large Tabular Model” (LTM) announced Thursday (Feb. 5) that it will use the funding to expand its compute, expand its enterprise deployment, and add research, engineering and go-to-market teams to glean predictions from enterprise data.
“Businesses have historically relied on outdated systems. machine learning “Algorithms that predate deep learning can analyze data, make decisions, and make predictions,” Amazon’s announcement said.
“In contrast, recent advances in deep learning have largely focused on LLM [large language models] A related architecture optimized for unstructured sequential data such as text, images, and video. ”
These models are therefore ill-suited to capturing the “discontinuous and non-linear relationships inherent in tabular data” and are “completely difficult to handle with enterprise-scale tables due to size and dimensionality constraints,” the announcement added.
This means it is not designed to extract value from the tabular datasets that inform every important decision in your company. The announcement states that by using NEXUS, companies will be able to make more accurate predictions instead of traditional solutions. Predictive analytics Uses a proprietary underlying model designed specifically for tabular data.
Advertisement: SCROLL TO CONTINUE
“Fundation enables enterprises to go beyond analyzing past events to answer forward-looking questions like what happens next, when the risks emerge, and where the opportunities lie. It accelerates time to value and enables enterprise-grade deployments on any cloud infrastructure,” Amazon added.
In addition to funding, Fundamental has initiated collaborations with: Amazon Web Services (AWS) has accelerated enterprise adoption of its model to AWS customers, who can now purchase and deploy Fundamental’s NEXUS LTM in their AWS environments.
“Fundamental’s structured data predictive models are built on AWS’ advanced AI services and help enterprise customers close critical gaps in comprehensive tabular data analysis at scale,” he said. dave brownVice President of Compute, Platform, and ML Services at AWS.
“By partnering with Fundamental, we are enabling our customers to seamlessly transform the tabular data that is the backbone of enterprise decision-making into powerful predictive assets. This partnership demonstrates our commitment to bringing innovative AI solutions to market with the enterprise-grade security and scalability that our customers demand.”
PYMNTS CEO Karen Webster wrote earlier this week about Amazon’s position in the AI race, highlighting the challenges the company faces. not technical.
“The company knows how to build, scale, and monetize new business units, and it has done very well with AWS,” she asserted. “But to do that we needed to decouple AWS from the retail economy and be able to serve a broader ecosystem of companies, including our competitors.”
Alexa and Rufus, the company’s voice assistants; AI shopping assistant“We’re not given that freedom,” Webster said.
For all of our coverage of PYMNTS AI, subscribe to our daily subscription AI Newsletter.
