This video gives the reasons why using modern machine learning tools like H2O's Driverless AI on VMware virtual machines provides benefits to the data scientist - particularly in isolating different toolkits and platforms into sandboxes so that training work can be done in parallel and more efficiently.
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While the importance of the cloud is obvious to anyone, the increasing importance of the edge is often overlooked. As digitization and the Internet of Things are leading to an exponential growth in the number of devices, the amount of data that is being generated by sensors in devices such as self-driving-cars, mobile endpoints and people tracking systems for retail is astronomical. Analyzing and turning that data into immediate actions is key to success in the era of digitization. The cloud enables massive data storage and processing, but it does not always lend itself to real time processing and immediate actions. Latency and the sheer amount of data to be transmitted are much less of a factor for the edge compared to the data center.
Last week's IBM Think 2018 conference brought together numerous IBM partners and other vendors interested in pitching their wares to the crowd of IBM employees, partners, and customers. Most of these exhibitors had an IBM angle to their story – either how they go to market with IBM, or perhaps how they address some limitation in one IBM product or another. Given IBM's focus on cloud computing, artificial intelligence (AI), and blockchain, furthermore, many of the vendors touted how they are using these capabilities to deliver value to their customers. Of the dozens of exhibitors at Think, I looked for the best examples of a particular mix of disruptive capabilities and offerings complementary to IBM's. Even though cloud and VMware virtual machine (VM) instances can respond to shifts in demand, they often remain underutilized.
VMware said on Wednesday that it's acquiring E8 Security, a user and entity behavior analytics company. E8 Security's platform uses machine learning and AI to help businesses detect cyber threats faster. It can surface anomalies and suspicious behaviors, discover malicious activity, and correlate data from different sources. VMware plans to integrate E8's technology into its Workspace ONE platform to give users more insight into the security posture of their digital workspace and provide advanced threat detection and response, the company said. "E8 Security's ability to analyze behavior has the opportunity to enhance the inherent security capabilities built on Workspace ONE to make security operations more proactive," wrote Sumit Dhawan, SVP of desktop products and solutions for VMware, in a blog post.
VMware said Wednesday that VMware Cloud on AWS is now available in the AWS London Region. The announcement marks the first global expansion of the hybrid cloud service since it was made available less than a year ago. VMware Cloud on AWS, which was previously available only in the AWS US West and East regions, runs VMware's enterprise class software-defined data center (SDDC) on the AWS cloud, allowing customers to run any application across public, private or hybrid cloud environments. The service is optimized to run on dedicated, bare metal AWS infrastructure. Wednesday's announcement also includes updates to VMware's cloud portfolio and partner network, along with the launch of a new cloud service that offers centralized log management.
In my first blog in this series, I stated my case that adoption of Internet of Things (IoT) platforms will be the number-one technology trend of 2018. However, there are other important developments going on that are very close behind. Containers enable movement to the next level of virtualization. Container-based virtualization is the latest virtualization technology that will gain wider acceptance in 2018. Considered a new generation of virtual machines (VMs), which abstracted an entire device including the operating system (OS), containers consist only of the application and all the dependencies that the application needs.
If you're not a graph afficionado, the name Marko A. Rodriguez probably does not mean much to you. Rodriguez however has been working on the intersection of research, engineering and entrepreneurship in the graph space his entire career. The fact that graph is now in the limelight is at least to some extent related to his efforts.