Machine Learning

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...

ZeroStack Launches AI Suite for Self-Driving Clouds

Grazed from ZeroStack

ZeroStack, the leader in making self-driving private cloud affordable for all companies, today announced its roadmap and first suite of artificial intelligence (AI) capabilities derived from machine learning. These capabilities build the foundation for self-driving clouds, making deploying, running, and managing on-premises cloud as ‘hands off' as using a public cloud. Aimed at empowering application developers, other on-premises clouds require major investments in IT infrastructure and internal skills. ZeroStack's intelligent cloud platform leverages self-healing software and algorithms developed from over one million datagrams. This economic disruption unleashes businesses to choose clouds for application development based on data locality, governance, performance and costs without technology adoption restricting their choices.

"With ZeroStack's vision for automated cloud, and this first release of real capabilities, I believe they are the only credible cloud vendor to employ artificial intelligence in the service of enterprise customers," said Torsten Volk, senior analyst at Enterprise Management Associates. "Given the increasing complexity of IT operations, deploying AI is an optimal way of managing costs."

CSC Advances Industrial Machine Learning to Help Businesses Make Better Decisions Using Enterprise-Wide Data Insights

Grazed from CSC

CSC today announced the expansion of its strategic alliance with Microsoft through the advancement of Industrial Machine Learning (IML) solutions that enable data scientists to produce new data-derived enterprise insights, leading to better and more timely business decisions.

Most large, data-rich companies fail to benefit from information on an enterprise-wide scale because they are not equipped to effectively capture and analyze available data sources. A recent survey from PwC and Iron Mountain found that 57 percent of businesses are unable to extract significant value from their information, and 23 percent are unable to derive any real value at all. Regardless of size, geography or sector, businesses are struggling to fully realize value from their information.

Apache Spark® Growth Is Pervasive as Users Embrace Public Cloud, Machine Learning, and Streaming Capabilities

Grazed from MarketWire. Author: PR Announcement.

Databricks, the company founded by the creators of the Apache Spark project, today released the findings of their second annual Apache Spark survey to determine how enterprises and users are utilizing the data analytics and processing engine. The 2016 Databricks Apache Spark Survey collected more than 1,600 responses from 900 organizations.

The results show a rise in deployments of Spark in the public cloud, an increased usage of Spark in industry verticals, and an uptick in Spark streaming and Machine Learning. The survey also reveals that most developers employ two or more Spark components simultaneously to build increasingly sophisticated solutions. Spark remains the most active open-source project in the big data space today, with over 1,000 contributors from more than 250 organizations...

How machine learning will take off in the cloud

Grazed from ComputerWorld.  Author: Sharon Gaudin.

 A company that helps users to create their own websites now knows what kind of sites their 80 million users are building without pestering them with repeated questions.  Wix, a Tel Aviv-based web development company, is using machine learning on Google's cloud platform to learn more about its users so it can help them find the images they need to build interesting and useful websites.
 
That's just the beginning of how machine learning will be used in the cloud, according to industry analysts who say machine learning will be the biggest thing that's ever hit the cloud.  David Zuckerman, head of developer experience for Wix, said machine learning in the cloud will be a boon to companies that don't have a major research division...

Cloud Computing: Machine learning and big data know it wasn't you who just swiped your credit card

Grazed from EconoTimes. Author: Jungwoo Ryoo.

You’re sitting at home minding your own business when you get a call from your credit card’s fraud detection unit asking if you’ve just made a purchase at a department store in your city. It wasn’t you who bought expensive electronics using your credit card – in fact, it’s been in your pocket all afternoon. So how did the bank know to flag this single purchase as most likely fraudulent?

Credit card companies have a vested interest in identifying financial transactions that are illegitimate and criminal in nature. The stakes are high. According to the Federal Reserve Payments Study, Americans used credit cards to pay for 26.2 billion purchases in 2012. The estimated loss due to unauthorized transactions that year was US$6.1 billion...