LatticeFlow, the next-generation AI platform for enabling enterprise teams to build performant, safe, and trustworthy AI at scale, is proud to announce Intelligent Workflows, to help machine learning engineers proactively rectify errors and ensure the reliability and robustness of AI model performance in production. This cutting-edge technology aims to revolutionize the AI industry by addressing one of the most critical challenges faced by machine learning engineers today.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20231129791751/en/

(Graphic: Business Wire)

With the proliferation of AI in business operations, the formidable task of seamlessly integrating high-performing AI models into real-world applications has grown increasingly critical. In particular, when dealing with large and complex datasets, ensuring production readiness for these models necessitates automation and a methodical approach to uncovering blind spots.

Dr. Pavol Bielik, CTO and Co-founder of LatticeFlow, stated, “A prominent concern voiced by our customers is the uncertainty surrounding where and how to detect issues during model failure before it is too late. Consequently, many organizations spend years grappling with the root causes of model failures. This is why we've engineered our Model Diagnostics tool, which guides machine learning engineers through a series of intelligent workflows to detect and access model blind spots, regardless of whether they use off-the-shelf AI models or custom architectures.”

Harnessing cutting-edge machine learning algorithms and tools, LatticeFlow’s systematic approach to eliminating model blind spots has helped many of its enterprise customers to scale the deployment of trustworthy AI models with greater confidence.

Rahul Kota, AI Lead at Athena AI, highlights the significance of LatticeFlow's model diagnostics in enhancing their model evaluation process. He stated, “LatticeFlow’s unique model diagnostics capabilities enabled us to plug in our custom models with ease and discover hidden systematic errors. Fixing these errors resulted in 23% increased accuracy for some challenging classes in one of our models. Moreover, LatticeFlow’s workflows significantly expedited our process of checking annotation quality – yielding a 3x speed improvement.”

LatticeFlow's AI platform is poised to make a substantial impact across a wide range of industries, including defense, manufacturing, healthcare, and more. By providing a systematic way to eliminate blind spots early in the AI development cycle, enterprise machine learning teams can accelerate the improvement of model performance and mitigate risks, thus leading to the development of a more responsible and trustworthy AI ecosystem.

Additional links

Learn how to evaluate model performance beyond aggregate performance
Try our interactive demo to find blind spots in waste recycling

For more information about LatticeFlow and its AI Model Blind Spots solution, please visit https://latticeflow.ai/.

About LatticeFlow:

LatticeFlow is a leading innovator in the field of artificial intelligence and machine learning. With a mission to drive the responsible development and deployment of AI technology, LatticeFlow’s robust AI platform enables enterprise teams to build performant, safe, and trustworthy AI at scale. We help you unlock the full potential of AI by addressing your model and data issues with automation and intelligent workflows across your AI lifecycle.

View source version on businesswire.com: https://www.businesswire.com/news/home/20231129791751/en/

Ritee Rouf
media@latticeflow.ai

Logo

Images

Tags

More Like This

LatticeFlow AI Introduces Suite 2.0 to Enhance Performance, Reliability, and Compliance in AI Systems

LatticeFlow AI Announces Key Innovation to Accelerate Development of Deepfake Detection Software in Advance of U.S. Elections

LatticeFlow AI Joins the U.S. AI Safety Institute Consortium

LatticeFlow AI Appoints Established AI Executives Milena Marinova and Jean-Luc Chatelain to Its Advisory Board

COMPL-AI Identifies Critical Compliance Gaps in DeepSeek Models Under the EU AI Act

LatticeFlow AI Appoints Tom Ulrich as SVP and General Manager for North America

Announcing Cognizant Flowsource™, a generative AI-enabled platform for powering modern engineering

InFlux Debuts FluxAI to Showcase FluxEdge's Advanced Capabilities