Organizations that are developing artificial intelligence (AI) models face no shortage of quality challenges, most notably the need for explainable AI that minimizes bias risks.
TruEra, based in Redwood City, California, has raised over $45 million in investment, including a recent round of investment that included the participation of Hewlett Packard Enterprise.
TruEra announced the latest milestone in its expansion this week, revealing that it has been selected to be part of the Intel Disrupter Initiative, which provides technical assistance and go-to-market support for participants.
TruEra tackles the challenges of explainable artificial intelligence.
As the use of artificial intelligence matures, there are emerging guidelines throughout the world for its responsible use.
The purpose of using artificial intelligence in a responsible manner is multifaceted, including prioritizing data privacy and establishing mechanisms to facilitate the explanation of model methods, and to promote fairness and avoid bias.
Outside of regulations, Uppington noted that any AI systems that require both speed and accuracy must be monitored and measured. In Uppingtons' opinion, whenever software undergoes a major shift, a new monitoring infrastructure is required.
Machine learning systems are fundamentally data-driven analytical entities, where models are being iterated at a much quicker rate than other types of software, according to the author.
According to him, the data you're seeing in production becomes the training data for your next iteration. So today's operational data is tomorrow's training data that's used to directly improve your product.
Uppington argues that organizations must first have the proper AI model monitoring in place in order to provide explainable AI. The things that a data scientist does to explain and analyze a model during its development should be monitored throughout the model's lifecycle, according to Uppington.
Intel is causing havoc on the artificial intelligence market.
The issue of AI quality, or lack thereof, is often seen as a barrier to adoption.
Arijit Bandyopadhyay, Intel Corporation's CTO of enterprise analytics and AI, said in a media advisory that AI quality and explanation have emerged as huge obstacles for businesses, and these often prevent them from achieving a return on their investment. Through its collaboration with TruEra, enterprises can gain access to AI evaluation, testing, and monitoring capabilities that can help them maximize their business potential.
Uppington stated that his company is integrating with cnvrg.io, an Intel business that is developing machine learning training services and software, in order to make it easier for organizations to build, deploy, and monitor AI quality via the convrg.io platform.
TruEra's primary marketing officer said her company already has a partnership with Nvidia, although it isn't as deep as the Intel Disrupter Initiative.
Uppington said TruEra will continue to iterate its own software to help organizations improve AI quality and accuracy.
According to him, we're going to focus on making it much simpler to test and then do the root-cause analysis of your machine learning systems.