Artificial Intelligence Articles
SAP is introducing SAP Fieldglass Live Insights, a new machine learning-powered, data-driven insights service that makes it possible for executives to benchmark, plan, predict and simulate external talent scenarios. The new SAP Fieldglass service is the result of partnering with SAP Data Network to create this capability that is powered by SAP HANA.
Posted April 26, 2017
Infosys, a provider of consulting, technology, outsourcing and services, has launched Infosys Nia, a new artificial intelligence platform building on the capabilities of the company's existing AI platform, Infosys Mana, and its robotic process automation (RPA) solution, AssistEdge.
Posted April 26, 2017
Oracle has introduced new artificial intelligence-based customer experience applications to support B2B and B2C interactions. Helping organizations to avoid the need for additional processes and integrations, the applications are intended to allow organizations achieve immediate value and embrace more efficient approaches, according to Jack Berkowitz, vice president, Products & Data Science, Oracle Adaptive Intelligence.
Posted April 26, 2017
Sisense has launched Sisense Pulse, a new alerting system that provides proactive notifications about a user's most important business events, in real time when changes occur.
Posted April 12, 2017
IBM and Salesforce have formed a global strategic partnership that focuses on connecting the Watson artificial intelligence platform with Salesforce solutions for CRM data.
Posted March 06, 2017
IBM has announced IBM Machine Learning, a cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud. The company has extracted the core machine learning technology from IBM Watson and will initially make it available on the z System mainframe, due to the significant volume of enterprise data stored on these systems.
Posted February 27, 2017
Apache Spark offers a solid foundation for machine learning. There are other tools and packages to help you dive into deep learning, but Spark offers a consistent approach to data access and, therefore, makes machine learning on Spark easier as you need less plumbing.
Posted February 21, 2017
Big data is not the end-all, be-all of marketing strategies. It's not that big data is too simplistic, rather, it's that our standard way of using data is limiting. Typical big data analytics are incapable of painting the full picture of consumer behaviors and often fail to quickly provide complete insights. When this happens, marketers end up with broad insights that miss the mark when translated into real-world advertisements and campaigns.
Posted January 03, 2017
CA Technologies is incorporating predictive analytics capabilities for monitoring data that touches the mainframe. CA Mainframe Operations Intelligence is a new algorithms-based solution suite that identifies and predicts system issues before they impact performance. Machine learning is applied to make sure there is no downtime and provides the intelligence that reduces the effort and skill to run data centers.
Posted November 28, 2016
Redis Labs, the home of Redis, is introducing an open source project called Redis-ML, the Redis Module for Machine Learning. The new project will accelerate the delivery of real-time recommendations and predictions for interactive apps in combination with Spark Machine Learning (Spark ML).
Posted November 01, 2016
IBM revealed a series of servers designed to help propel cognitive workloads and to drive greater data center efficiency. Featuring a new chip, the Linux-based lineup incorporates innovations from the OpenPOWER community intended to deliver higher levels of performance and greater computing efficiency than available on any x86-based server.
Posted September 19, 2016
A new integrated development environment for real-time, high performance analytics, available on IBM Cloud, called the Data Science Experience, is aimed at helping to blend emerging data technologies and machine learning into existing architectures.
Posted June 07, 2016
SIOS Technology Corp., a provider of software products for optimizing and protecting business-critical application environments, is rolling out a new release of SIOS iQ, its machine learning analytics software for VM environments. Providing a key new capability, SIOS has worked with SQL Sentry to integrate iQ version 3.7 with SQL Sentry Performance Advisor to bridge what it describes as a critical gap between IT infrastructure administrators and SQL Server administrators.
Posted June 07, 2016
SAS has launched Viya,, a new analytics and visualization architecture designed to help make analytics accessible to a greater swath of users. According to the vendor, Viya, represents the foundation for a suite of offerings including machine learning, and will help speed the time between early-stage analytical exploration and resulting business value for users of all skill levels.
Posted April 22, 2016
Ever wonder what happened to artificial intelligence? It's gotten easier and more accessible. In fact, AI's been embedded into some of the most fundamental aspects of data management, making those critical data-driven processes more celeritous and manageable. Best of all, AI is directly responsible for producing this effect for end users—those who rely on data most to do their jobs.
Posted March 31, 2016
Splunk Inc. is enhancing its security analytics portfolio by combining machine learning, anomaly detection, context-enhanced correlation, and rapid investigation capabilities in new versions of Splunk User Behavior Analytics (UBA) and Splunk Enterprise Security(ES).
Posted March 08, 2016
If you're into data and databases and you have not heard the term "machine learning," may I suggest that you're not reading enough? This technology is hot and hyped, largely because it is the secret ingredient in many successful Big Data projects.
Posted January 07, 2016
SIOS Technology Corp. has unveiled a new product designed to understand and optimize VMware environments. Dubbed SIOS iQ, the platform applies advanced machine-learning analytics to broad datasets, including application and infrastructure data from-third party tools and frameworks, in order to understand and explain complex behaviors and predict the impact of changes in dynamic virtual environments.
Posted July 14, 2015
Deep Information Sciences has launched Deep Engine. Available now for MySQL and Percona Server, Deep Engine is an adaptive database kernel and information orchestration system that combines machine learning with advanced computer science to transform database fundamentals. Implemented as a plug-and-play 10MB storage engine that can be deployed in parallel with, or instead of, existing engines, Deep Engine allows MySQL to easily adapt, accelerate and scale to unprecedented levels, with minimal cost.
Posted April 07, 2015
The term "machine learning" evokes visions of massive super computers that eventually turn on and enslave humanity - think SkyNet from Terminator or HAL from 2001: A Space Odyssey. But the truth is that machine learning algorithms are common in web applications that we use every day and have a growing relevance to enterprise applications.
Posted September 14, 2011
When computers first started to infringe on everyday life, science fiction authors and society in general had high expectations for "intelligent" systems. Isaac Asimov's "I, Robot" series from the 1940s portrayed robots with completely human intelligence and personality, and, in the 1968 movie "2001: A Space Odyssey," the onboard computer HAL (Heuristically programmed ALgorithmic computer) had a sufficiently human personality to suffer a paranoid break and attempt to murder the crew!
Posted March 09, 2011