This white paper is part 1 of a two part series where we uncover why machine intelligence is the key to solving the data integration challenge for the IIoT.
DigitalGlobe, CosmiQ Works, NVIDIA, and Amazon Web Services Team up to Launch SpaceNet Open Data Initiative
DigitalGlobe, Inc. (NYSE: DGI), a leader in earth imagery and information about our changing planet, announced the launch of SpaceNet, an online repository of satellite imagery and labeled training data that will advance the development of machine learning and deep learning algorithms that leverage remote sensing data.
The infographic below from our friends over at Visenze was inspired by the growing trend on how AI capabilities and applications are attempting to solve real-world issues that e-commerce businesses are facing.
In this special guest feature, Cecilia Pizzurro, Senior Director, Strategic Data Projects at LOGICnow, discusses the convergence of data/machine learning and cybersecurity, and the idea that these two are playing off of each other in a more meaningful way than ever before.
Kimera Systems announced the birth of Nigel™ – the world’s first commercial human-like intelligence technology for connected devices. Nigel was delivered at a birthday party held last Friday in downtown Portland by its creator, Kimera co-founder and CEO Mounir Shita.
In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. “machine learning and other data-intensive HPC workloads cannot scale unless the storage filesystem can scale to meet the increased demands for data.”
Envestnet | Yodlee, a leading data aggregation and data analytics platform powering dynamic, cloud-based innovation for digital financial services, announced the newest advancement to the Envestnet | Yodlee Financial Data Platform, Transaction Data Enrichment.
Fujitsu Laboratories Ltd. announced the development of software technology that uses multiple GPUs to enable high-speed deep learning powered by the application of supercomputer software parallelization technology.
Argyle Data, a leader in big data/machine learning analytics for mobile providers, has highlighted the role of supervised and unsupervised machine learning in detecting and preventing anomalous mobile traffic.
Nimbix, a leading HPC cloud platform provider, announced a significant increase in their presence in the machine learning market space as more customers are using their JARVICE platform to help address the need for an easier, more cost efficient way of working with machine learning.