IBM has launched a new technology platform that addresses key challenges of artificial intelligence (AI) adoption.
AI OpenScale is aimiming to address challenges such as concerns over how AI applications make decisions, the global shortage of AI skills and the complexities of working with disparate AI tools from multiple vendors.
It will enable companies to manage AI transparently throughout the full AI lifecycle, irrespective of where their AI applications were built or in which environment they currently run.
As part of AI OpenScale, IBM has also launched NeuNetS, which it hails ‘a major scientific breakthrough’ in which AI builds AI. This makes it possible to create complex, deep-neural networks from scratch and will help address the AI skills gap and accelerate scaling AI.
“To accelerate AI adoption, businesses need one place to run all their AI,” said David Kenny, senior vice president, IBM Cognitive Solutions. “We are committed to enabling our clients to use the AI of their choice, regardless of vendor – and use IBM AI OpenScale to make it transparent and easy to manage. Only through enabling businesses to trust and scale their AI will we enable the AI economy.”
According to a recent study of 5,000 C-level executives by IBM, 82 percent of businesses surveyed are considering using artificial intelligence, but 63 percent lack the in-house talent to confidently manage the technology. Also, 60 percent are hindered by concerns over trust and compliance.
AI OpenScale helps companies understand how AI applications reach decisions and addresses bias in AI applications automatically by continually monitoring AI applications.
It also ensure AI applications are auditable by logging every prediction, every model version, and all the training data used, together with all metrics to help businesses comply with regulations such as GDPR.
AI OpenScale addresses the short supply of human AI engineers by throwing AI at the problem. IBM’s Neural Network Synthesis Engine (NeuNetS) will allow businesses to rapidly and automatically build neural networks, essentially to run AI, from scratch. NeuNetS will initially be available in AI OpenScale in beta.
The platform can also work with open source machine learning or deep learning models, such as Tensorflow, Scikitlearn, Keras and SparkML. It can also handle applications and models trained and hosted on common environments, including IBM Watson, IBM PowerAI, Seldon, AWS SageMaker, AzureML and other non-IBM engines.
“AI is a significant enabler of business transformation and leaders need to demonstrate they trust and responsibly use AI. This includes an explanation of how AI capabilities are free of bias, protected from misuse, and consistently and predictably perform. For KPMG, it’s critical we have AI technology that helps facilitate trust among organisations, and strategically supports enterprise-wide transformation. IBM’s new AI OpenScale capabilities are designed to enable and enhance trust amongst organisations,” according to Vinodh Swaminathan, Principal in KPMG’s Innovation & Enterprise Solutions group.
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