Machine Learning

National Football League Selects AWS as Official Cloud and Machine Learning Provider for Next Gen Stats

Grazed from Amazon AWS and NFL

Today, Amazon Web Services, Inc. (AWS), announced that the National Football League (NFL) has selected AWS's machine learning and data analytics services to boost the accuracy, speed, and insights provided by its Next Gen Stats platform, the NFL's player-tracking system. In choosing AWS to power Next Gen Stats, the NFL aims to develop new ways of visualizing the action on the field, uncovering deeper insights into the action on the field, and expanding the fan experience by offering a broader range of advanced statistics. In addition, AWS will become an Official Technology Provider of the NFL.

Through the use of radio-frequency identification (RFID) tags in player equipment and the football, Next Gen Stats captures a variety of real-time location, speed, and acceleration data. The data is analyzed on AWS and used to contextualize movement on the field for fans to see on NFL Media properties, game broadcasts, third-party digital platforms, and in-venue displays. The data is also leveraged by NFL clubs post game as part of their football operations on a weekly basis. The system creates a variety of unique player and team stats for every game such as a receiver's ability to get open and an offensive line's ability to protect the quarterback. By leveraging AWS's broad range of cloud-based machine learning capabilities, the NFL is looking to take its game-day stats to the next level so that fans and NFL Clubs can benefit from deeper insights.

ZeroStack Showcases Machine Learning-Driven Cloud at Cloud Expo Asia

Grazed from ZeroStack

ZeroStack, Inc., creators of the self-driving on-premises cloud, today announced that it will be demonstrating its Intelligent Cloud Platform at Cloud Expo Asia. Supported by Value Added Distributor, M5 Technologies and Alliance Partner Netweb, ZeroStack is participating at this major technology event in support of its regional channel program. ZeroStack will also be participating in Structure Research's VIP Event as part of the Expo. ZeroStack's ease of deployment, security features, SaaS portal, and self-healing capabilities were all cited as standouts against competitive offerings in a recent Frost & Sullivan report, and the company is seeing strong traction in South Asia through its partner ecosystem in Singapore.

FireEye Expands Cybersecurity Threat Detection with Major New Releases

Grazed from FireEye

FireEye, Inc., the intelligence-led security company, today announced major new software releases and next-generation hardware, adding new and expanded capabilities to extend FireEye's cybersecurity threat detection while reducing costs and increasing flexibility.

To address the issue of post-breach attacks and insider threats, FireEye unveiled FireEye Network SmartVision - a new capability that leverages a machine-learning framework to detect suspicious lateral threat movements (East-West traffic) and data exfiltration. This capability is designed to provide customers with greater detection and expanded visibility across their perimeter and now network core and servers.

FireEye Network (NX) deployments can now burst network traffic to FireEye's MVX Smart Grid during periods of high-content scanning activity, to address overload and gaps in protection that might otherwise occur. Other new software capabilities include significant updates to alert handling, event change visualization, expanded logging, and overall usability improvements.

These new software releases complement the launch of fifth-generation FireEye hardware, expanding customer capability to address increasingly sophisticated threats, while reducing costs and increasing deployment flexibility. FireEye also introduced FireEye File Content Security (FX), a new virtual offering that extends FireEye protection further into hybrid IT environments.

Box Brings Intelligence to Cloud Content Management

Grazed from Box, Inc.

Box, Inc., a leader in cloud content management, today announced that it is bringing advanced image recognition capabilities to enterprise content through an integration with Google Cloud Vision. Available today in private beta, the integration represents one of Box's first use cases of advanced machine learning to help enterprises improve workflows and drive efficiencies through more accurate discovery and deeper insights into unstructured content stored in Box.

"Organizations today have no way to extract insights from the massive amounts of unstructured data that are essential to their business, missing a huge opportunity to drive innovation, efficiency, and cost savings," said Aaron Levie, cofounder and CEO, Box. "By combining the machine learning capabilities of Google Cloud with the critical data businesses manage and secure in Box, we are enabling our customers - for the first time - to unlock tremendous new value from their content, digitize manual workflows, and accelerate business processes."

LiveAction Advances Network Visibility at the Edge and the Cloud with Latest Release of LiveNX Platform

Grazed from LiveAction

LiveAction, a provider of IT network performance management, visualization and analytics software, today announced the latest release of the LiveNX platform. The newest features further boost the performance of SD-WANs, offer increased viewability into the network endpoints of all types, and include machine learning and automation, among other enhancements. LiveNX enables network engineers and IT operations to increase productivity and improve online user experiences by making it easier to monitor, manage, and troubleshoot network performance issues.

The LiveNX platform maximizes a company's investments in IT network management by ensuring users consistently have optimal online experiences without interruptions or delays. LiveNX performs network diagnostics, monitors service delivery to ensure service level agreements (SLA) are met, automates device discovery to make it easier for users to access the network, and issues proactive alerts to potential problems. It visualizes the entire network and presents a comprehensive view of performance through a dynamic dashboard. LiveNX also integrates with the Cisco Digital Network Architecture (DNA) as well as other multi-vendor environments.

IBM Revamps Computer Network Unit Around Watson Artificial Intelligence

Grazed from Bloomberg. Author: Editorial Staff.

International Business Machines Corp. is revamping its Global Technology Services division, which helps customers run their computer networks, to rely more heavily on artificial intelligence. The new AI-capability will help IBM's customers minimize disruptions such as server outages or switching malfunctions by predicting problems before they occur and automatically taking corrective action, such as brokering additional cloud capacity or rerouting network traffic around bottlenecks, Bart van den Daele, general manager of IBM Global Technology Services in Europe, said in an interview.

The product offering, powered by IBM's Watson cognitive computing platform, will enable the company to maintain its market share in IT network infrastructure management, Van Daele said. New York-based IBM has been struggling to pivot from reliance on older products like computers and operating system software and into higher-growth areas like AI and the cloud...

Rackspace Leverages Splunk to Help Power Its Decision Analytics Engine

Grazed from Rackspace and Splunk

Splunk Inc., provider of the leading software platform for real-time Operational Intelligence, today announced Rackspace®, a managed cloud leader, is leveraging Splunk® Enterprise and Splunk Enterprise Security (Splunk ES) as the foundation for the company's decision analytics engine. Rackspace uses Splunk solutions across security, compliance, DevOps, business intelligence, application management and IT operations.

Rackspace ingests nearly three terabytes of data per day into Splunk software to create meaningful visualizations, to diagnose anomalous activity, and to remediate issues across all business processes. As a result, Rackspace's security and compliance teams are projected to improve the speed of security event detection by at least 70 percent, accelerate investigation of high-priority security incidents by at least 70 percent and decrease the overall financial impact of security outages by at least 50 percent. Through automation of these processes, Rackspace security analysts will get valuable time back to focus on establishing proactive security strategies.

5 Ways Machine Learning Has Influenced The Modern Cloud

Grazed from Forbes. Author: Editorial Staff.

The cloud computing industry is going through a gradual shift towards becoming an intelligent cloud. While compute, storage, and networking continue to be the revenue spinners for cloud vendors, it is Machine Learning that is becoming the focal point of the contemporary cloud.

Cognitive Computing

Cognitive Computing aims to bring sensory capabilities to applications. It enables apps to see, listen, talk, and even make decisions. Based on natural language processing, visual recognition, face detection, emotion detection, video analytics, text to speech, speech to text, language translation, and sentiment analysis, Cognitive Computing empowers developers with simple APIs...

Domo Announces Mr. Roboto, First AI Platform to Integrate Machine Learning and Other AI Technologies Into the Business Cloud

Grazed from Domo

Last week at Domopalooza 17, Domo's annual user conference, Domo announced Mr. Roboto, a new set of capabilities in the Domo platform that leverages machine learning algorithms, artificial intelligence and predictive analytics, to power more advanced insights, recommendations and alerts for business decision makers across the enterprise.

As the world's first advanced intelligence platform to be fully integrated into The Business Cloud, Mr. Roboto is uniquely positioned to provide a more holistic analysis of what's happening across the business than any other machine learning or predictive engine available.

Domo is the first platform to bring together an organization's people with massive amounts of business data from across the organization. Mr. Roboto takes advantage of this convergence and will be the first to leverage social patterns happening in The Business Cloud, to deliver deeper insights.

Welcome To The Era Of Intelligent Cloud Powered By Machine Learning

Grazed from Forbes. Author: Janakiram MSV.

The cloud as we know it is going through a massive transformation. What started as an on-demand subscription service for consuming compute, storage, and the network is no more the same. The compute component of the cloud has become table stakes for the vendors in the infrastructure business. Spinning up virtual machines, adding storage, and configuring a network is no more exciting for veteran users. The cloud in its latest avatar is emerging as a data-centric, intelligent platform ready to deal with the next generation of applications and workloads.

At the front and center of this emerging intelligent cloud is Machine Learning (ML), which is undoubtedly the most disruptive technology of this decade. The rise of powerful computing environments based on GPUs and FPGA combined with cheaper but equally powerful storage backed by SSDs made it possible to store and process massive datasets...