IBM announced new software to deliver faster time to insight for high performance data analytics (HPDA) workloads, such as Spark, Tensor Flow and Caffé, for AI, Machine Learning and Deep Learning. Based on the same software, which will be deployed for the Department of Energy's CORAL Supercomputer Project at both Oak Ridge and Lawrence Livermore, IBM will enable new solutions for any enterprise running HPDA workloads. New to this launch is Deep Learning Impact (DLI), a set of software tools to help users develop AI models with the leading open source deep learning frameworks, like TensorFlow and Caffe. The DLI tools are complementary to the PowerAI deep learning enterprise software distribution already available from IBM. Also new is web access and simplified user interfaces for IBM Spectrum LSF Suites, combining a powerful workload management platform with the flexibility of remote access.

Artificial intelligence (AI) is not a new concept, but thanks to breakthroughs in deep learning, recent years have seen a rapid resurgence leading to an increasing impact across many industries. Finance in particular is seeing significant disruption by AI, as deep learning tools and techniques become more widespread and accessible, companies are using algorithms or'neural networks' that learn from data, allowing computers to make better predictions and take smart actions in real time. At the RE•WORK Deep Learning in Finance Summit, in London on 23 September, we'll explore how AI is revolutionising the financial sector, through stock market prediction and forecasting, robo-advisors, mobile banking, blockchain technology and more. Speakers in both industry and academia will share insights into recent breakthroughs in technical advancements and fintech applications alongside academics and startups sharing their work from the financial industry. By bringing together key influencers to share cutting-edge research and developments, we can explore how to successfully apply artificially intelligent software to enhance and grow the finance, banking and trading industry.