Algorithmia tackles ML compliance with new governance tools
Algorithmia, an MLOps software company, has released a set of tools to help technology leaders manage compliance in machine learning models.
The Seattle-based company worked off the back of research suggesting 56 per cent of IT leaders thought ML governance was a major concern. Ramifications could include bad credit decisions, fraud detection errors or poor decision making that was visible to clients.
Significant analytics risk
Algorithmia, which specialises in MLOps, has developed a set of tools to help technology leaders with post-deployment risks in machine learning models. Operational risk is now the most significant analytics risk, according to the company.
Algorithmia Enterprise’s new product offers five key reporting and governance capabilities:
Cost and usage reporting on infrastructure, storage and compute consumption within Algorithmia to understand and manage the overall cost of maintaining the platform.
Enhanced chargeback and showback reporting for monthly costs of storage, CPU and GPU consumption and usage billing.
Algorithm usage reporting with details of the algorithm used, so organizations can bill users for their usage.
Enhanced audit reports and logs so examiners and auditors can review model results, history of changes, and a record of data errors or past model failures and actions taken.
Advanced reporting panel for Algorithmia admins that provide an overview of all available metrics and usage reporting, ability to build reports and export reports and metrics to systems of record.
Diego Oppenheimer, CEO of Algorithmia, said, “We’re still in the early days of ML governance, and organizations lack a clear roadmap or prescriptive advice for implementing it effectively in their own unique environments.
“Regulations are undefined and a changing and ambiguous regulatory landscape leads to uncertainty and the need for companies to invest significant resources to maintain compliance. Those that can’t keep up risk losing their competitive edge. Furthermore, existing solutions are manual and incomplete. Even organizations that are implementing governance today are doing so with a patchwork of disparate tools and manual processes. Not only do such solutions require constant maintenance, but they also risk critical gaps in coverage.”
AI pioneer ZAC named as a Top 5 Leading Global Company
The pioneer Cognitive Explainable-Artificial Intelligence (Cognitive XAI) start-up, ZAC, offers a disruptive 3D image recognition and search platform based on Explainable-AI. Its technology, which ZAC claims beats the competition ‘hands down’, has gained recognition from an Oxford Academic paper naming it one of the Top 5 Leading Global Companies in The Fourth Industrial Revolution.
ZAC has made AI and Machine Learning (ML) breakthroughs. Using only a few training samples and an average laptop with low power CPU, ZAC has achieved complex Image Recognition.
This is a sharp contrast to the other algorithms in the industry that require thousands to billions of training samples, trained on large GPU servers.
"ZAC requires much less computing power and much less electrical power to run, which is great for mobile and edge computing, as well as the environment, with less Carbon footprint,” said Dr. Bijan Tadayon, CEO and co-founder of ZAC.
“You cannot do this with the other algorithms, such as Deep Convolutional Neural Networks (CNN) or ResNets, even with an extremely large number of training samples, on GPU servers," Tadayon explained.
Removing barriers in image recognition
Founded by three siblings, ZAC’s platform overcomes a major limitation in image recognition of consumer products.
Previous technology fails to recognise details beyond generic categories or classifications as existing AI technologies only produce a generic level of output.
With its platform ZAC “are removing today’s barriers and limitations in image recognition... We have figured out how to apply Explainable-AI to machine learning for the first time in the industry,” said Tadayon.
AI breakthrough for a variety of applications
ZAC’s revolutionary AI breakthrough in 3D image recognition mimics how humans discover, recognise and learn. It is also able to detect fine details in images from all views and angles.
Its horizontal platform features tools and APIs to enable a wide variety of applications. This means that multiple industries can take advantage of the platform’s efficient, detailed and accurate recognition and search.
The platform can be used in a variety of applications, some of which include:
- Medical imaging and diagnosis
- E-commerce and retail
- Satellite and aerial image analysis
- Facial recognition
- Imagery detection and analysis
By providing a cognitive-based image recognition that is fully scalable and faster than current technology, it is clear to see why ZAC has been named one of the Top 5 Leading Global Companies in the Fourth Industrial Revolution