IBM AI OpenScale aims to bring visibility and explainability of AI models for enterprises to boost their confidence in AI decisions
From trust and transparency concerns to problems of scale and automation, enterprises face multiple challenges while adopting artificial intelligence (AI) for business use. IBM has come out with a solution to overcome these roadblocks and help businesses accelerate the adoption of AI.
IBM has announced AI OpenScale, a service that aims to bring visibility and explainability of AI models for enterprises. It provides enterprises visibility into how AI is built, used, and performs.
AI OpenScale allows businesses to operate and automate AI at scale, – irrespective of how the AI was built and where it runs. With AI OpenScale, businesses can embed AI into new or existing business applications and functions with the freedom to use the environment of their choice.
According to IBM, AI OpenScale attempts to provide businesses with confidence in AI decisions by bridging the gap between the teams that operate AI and those that manage business applications.
AI OpenScale significantly expands the Trust and Transparency capabilities and also introduces explainability for black box models and functions, automatic bias detection and mitigation, auditability, and traceability on AI applications – regardless of whether they run on a company’s private cloud, on IBM Cloud, or on other vendors’ cloud environments – says IBM.
AI OpenScale can be used with 3rd party platform
Specifically, it supports:
- AI deployed in any run-time environment: E.g., Amazon ML, Azure ML, and custom runtime environments, behind the enterprise firewall
- Applications and machine learning and deep learning models developed in any open source, model-building and training IDE, including in TensorFlow, Scikitlearn, Keras, SparkML and PMML
The other important component of AI OpenScale is Neural Network Synthesis (NeuNetS) – a beta feature that automatically creates customized neural network models using the latest training data from businesses.
NeuNetS: AI for AI
NeuNetS is an AI technology that automatically configures itself to specific business data, helping organizations quickly scale AI across their workflows, while making their data science team more productive. This revolutionary technology automatically builds customized neural networks for text and vision models and recommends new models, thereby reducing the complexity and skills required to build AI models.
According to IBM, NeuNetS can help businesses reach accuracy similar to that of an expert-designed AI model in a matter of hours, rather than weeks and months. An expert data scientist can then further tune the model.
AI OpenScale will be available later this year on the IBM Cloud or IBM Cloud Private.
