How telecom providers are embracing cognitive app development


As an example, mobile network operators are increasing their investment in big data analytics and machine learning technologies as they transform into digital application developers and cognitive service providers. With a long history of handling huge datasets, and with their path now led by the IT ecosystem, mobile operators will devote more than $50 billion to big data analytics and machine learning technologies through 2021, according to the latest global market study by ABI Research. Machine learning can deliver benefits across telecom provider operations with financially-oriented applications - including fraud mitigation and revenue assurance - which currently make the most compelling use cases. Predictive machine learning applications for network performance optimization and real-time management will introduce more automation and efficient resource utilization.

Q&A: Analytics-Driven Embedded Systems


Analytics-driven embedded systems bring analytics to embedded applications, moving many of the functions found in cloud-based, big-data analytics to the source of data. Pilotte: The ability to create analytics that process massive amounts of business and engineering data is enabling designers in many industries to develop intelligent products and services. Using engineering data from thermometers, pressure sensors, and other HVAC sensors, as well as business data from weather forecasts and real-time energy prices, the analytics running in BuildingIQ's cloud service tune the building's HVAC embedded systems. That includes combining an analytics workflow with an embedded design workflow that includes the system simulation, verification, and hardware targeting that we know are essential.

Mellanox Announces ConnectX-5, the Next Generation of 100G InfiniBand and Ethernet Smart Interconnect Adapter


ConnectX-5 introduces smart offloading engines that enable the highest application performance while maximizing data center return on investment. With the exponential growth of data and the increase in businesses that takes advantage of real-time data processing for high performance computing (HPC), data analytics, machine learning, national security and'Internet of Things' applications, the market needs not only the fastest interconnect available, but also interconnect intelligence that can perform data algorithms as the data moves throughout the data center. "The new ConnectX-5 100G adapter further enables high performance, data analytics, deep learning, storage, Web 2.0 and more applications to perform data-related algorithms on the network to achieve the highest system performance and utilization," said Gilad Shainer, vice president, marketing at Mellanox Technologies. "Dell and Mellanox are long-time partners, delivering Dell HPC Systems utilizing Mellanox InfiniBand, including the recently announced one petaflops system at the Center for High Performance Computing in South Africa," said Jim Ganthier, vice president and general manager, Engineered Solutions, HPC and Cloud, Dell.

GE ties up with IIT-M to set up Industrial Internet Centre


Through the new Centre, GE and IIT Madras will create the Digital Twin of a smelter, a living digital model that will continuously generate new data and insights about the smelter that allows operators to run the smelters more efficiently. "A mere one percent increase in productivity through the application of Industrial Internet solutions can contribute to a 20 percent potential increase in performance for its customers," Azeez Mohammed, president & CEO, GE Power Services, Middle East & Africa. Researchers and students will work closely with the GE Global Research, GE Power Services Engineering and GE Digital teams at GE's John F. Welch Technology Centre in Bengaluru. These solutions will be developed using GE's Predix Industrial Internet operating system and Predix APM (Asset Performance Management), which optimises machines and operations to maximise business performance through three core capabilities - Machine and Equipment Health, Reliability Management, and Maintenance Optimisation.

Lenovo ThinkPad X1 Tablet review: Smart design makes up for performance shortcomings


In all, I'd call the Lenovo ThinkPad X1 Tablet a perfectly competent Windows 10 tablet, whose 1.1GHz Core m5-6y57 processor and 8GB of memory can chew through average office tasks with aplomb. Unlike Microsoft's Surface series, the keyboard is included in the price of the ThinkPad X1 Tablet: 1,349 for our review unit. The modules all fit between the tablet and the keyboard: There's the 150 Productivity module, which combines an additional 24Whr battery, USB 3.0 connector, HDMI, and OneLink connection; the 280 Presenter module, which adds a pico projector for presentations, HDMI, and a 10Whr battery; and the 220 3D Imaging module, which adds an Intel RealSense depth camera, HDMI, and a USB 3.0 port. The ThinkPad X1 Tablet's chip runs at the same 1.1GHz core clock speed as the chip in the competing HP Elite x2.

Statistics for Software PayPal Engineering Blog


If you were to look at our internal frameworks, you would find hundreds of code paths instrumented to generate streams of measurements: function execution times, service latencies, request lengths, and response codes, to name a few. We discuss more about instrumentation below, but for now we assume these measurement points exist and focus on numerical measurements like execution times. In the realm of software performance, data collection is automatable, to the point of making measurement too automatic. Once reservoir is full, incoming data points have a size / counter chance to replace an existing sample point.

IBM Research Lead Charts Scope of Watson AI Effort


Watson represents a larger focus at IBM that integrates machine learning and data analytics technologies to bring cognitive computing capabilities to its customers. He is an IBM Fellow, Vice President Europe and Director IBM Research – Zurich Research Laboratory, Switzerland. In January 2014, IBM launched the IBM Watson business unit, investing 1B dedicated to developing and commercializing cloud-delivered cognitive computing technologies. In addition to the Watson business unit, in September 2015 we announced Watson Health, dedicated to improving the ability of doctors, researchers and insurers to surface new insights from the massive amount of personal health data being created and provide turnkey solutions to deliver personalized healthcare.

Building the Foundation of the Cognitive Computing Era


When most people think about artificial intelligence and cognitive computing, they think of futuristic technological landscapes overrun with evil robots. Scott Crowder is currently Chief Technical Officer and Vice President, Technical Strategy and Transformation for IBM Systems. Previously, Scott was Vice President, Technical Strategy within IBM Corporate Strategy. In this role, he helped define the cross-IBM technical strategy for cloud infrastructure, workload optimized systems, Big Data and Analytics, composable services, software-defined infrastructure, and cognitive solutions.

Using Artificial Intelligence to Improve Call Center Performance RankMiner


Also, there was a reliance on agents, reps and clerical staff typing information into systems. Also, there was a reliance on agents, reps and clerical staff typing information into systems. Predictive modeling utilizes past historical data and automatically builds strategies to predict future customer tendencies and expectations. The key advantage of predictive analytics artificial intelligence software is that it can identify patterns in hours rather than the weeks or months that more traditional methods can take to come up with a conclusion (not necessarily the correct one).

[session] Machine Learning and Cognitive Fingerprinting By @SparkCognition @ThingsExpo #IoT


In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, will discuss how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines. Join @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 7-9, 2016 in New York City, for three days of intense'Internet of Things' discussion and focus, including Big Data's indespensable role in IoT, Smart Grids and Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) IoT's use in Vertical Markets. Intel and Cisco have been named the world's most influential IoT brands, followed by SYS-CON Media's global IoT event, @ThingsExpo as the world's most influential IoT media brand. The company's internationally recognized brands include among others Cloud Expo (@CloudExpo), Big Data Expo (@BigDataExpo), DevOps Summit (@DevOpsSummit), @ThingsExpo (@ThingsExpo), Containers Expo (@ContainersExpo) and Microservices Expo (@MicroservicesE).