Artificial Intelligence Articles
Machine learning and artificial intelligence will continue to improve and make waves in the big data industry. Autonomous machines that can learn without explicit programming is the future, many say, and experts are predicting that machine learning will continue to take center stage in a variety of ways in 2018.
Posted January 03, 2018
IBM announced its next-generation Power Systems Servers, incorporating its newly designed POWER9 processor. Built specifically for compute-intensive AI workloads, the new POWER9 systems are capable of improving the training times of deep learning frameworks, enabling enterprises to build more accurate AI applications, faster.
Posted December 18, 2017
Over the past 12 months, there have been many new initiatives aimed at boosting access to and adoption of artificial intelligence. Many resources need to be aligned, including data analytics and computing processing power. But the most important ingredient is human intelligence. AI will only succeed if it is working in partnership with human intelligence, and only humans can provide the business context that gives AI value. This will be the final issue of this newsletter for 2017, and we will resume publishing on January 8th. We wish all our readers a very happy and safe holiday season!
Posted December 18, 2017
Artificial intelligence has been described both as a radical force for good and an enabler of evil whose risks are not yet fully understood. But is it just a lot of hype or a transformative technology poised to impact our future? Here, seven IT execs weigh in on the AI debate and offer their predictions for the changes we may see in 2018.
Posted December 15, 2017
The CTO of a major database vendor recently stated at a conference that basically DBAs would soon be out of a job. The gist of the keynote was autopilot flies better than humans, autonomous cars will be safer, so why would we not do the same for our databases (remove the human error)? What is the validity of this line of thought, and how might it be implemented? What does an autonomous database look like?
Posted December 01, 2017
StreamSets Inc., provider of an enterprise data operations platform, is releasing the StreamSets Data Collector Edge (SDC Edge) platform, providing an end-to-end data ingestion solution for resource- and connectivity-constrained systems such as Internet of Things (IoT) devices and more.
Posted November 28, 2017
There's a surprising trick for greatly increasing the chances of real impact, true success with many types of machine learning systems, and that is "do the logistics correctly and efficiently." That sounds like simple advice - it is - but the impact can be enormous. If the logistics are not handled well, machine learning projects generally fail to deliver practical value. In fact, they may fail to deliver at all. But carrying out this advice may not seem simple at all.
Posted October 26, 2017
At Oracle OpenWorld, Oracle announced embedded artificial intelligence capabilities within existing Oracle ERP Cloud, Oracle Human Capital Management Cloud, Oracle Supply Chain Management Cloud, and the Oracle Customer Experience Cloud applications.
Posted October 11, 2017
MapR Technologies is partnering with DataScience.com, an enterprise data science platform provider, to launch a joint solution that will power collaborative data science projects. With this partnership, DataScience.com customers can enjoy a truly collaborative workflow environment where their data science experiments can run directly on the MapR Platform without needing a separate compute cluster to access data.
Posted October 06, 2017
Data professionals and vendors converged at Strata Data in New York to trade tips and tricks for handling big data. Top of mind for most was the impact of machine learning and how it's continuing to evolve as the "next big thing."
Posted October 05, 2017
At Oracle OpenWorld, Oracle executive chairman and CTO Larry Ellison showcased new cybersecurity machine learning capabilities that improve IT security and management. The new machine learning powered security capabilities are part of enhancements to Oracle Management Cloud, an integrated solution for IT security and management that enables organizations to monitor and analyze their operational and security data in a single solution.
Posted October 04, 2017
MemSQL, provider of a real-time data warehouse platform, is releasing MemSQL 6, adding new extensibility features to enable machine learning and performance improvements for analytical queries. With this update, developers can use machine learning functions with live data and SQL, and a real-time data warehouse to easily build operational applications without requiring multiple disparate systems.
Posted October 02, 2017
Zaloni is introducing a machine learning data matching engine that leverages the company's data lake solution, enabling enriched data views for multiple use cases across business sectors. Zaloni's data matching engine provides a new approach for creating an integrated, consistent view of data that is updated, efficiently maintained, and can drive customer-facing applications.
Posted October 02, 2017
iguazio, a provider of a continuous analytics and event driven-application platform, is releasing its Unified Data Platform, simplifying data pipeline complexities and accelerating machine learning and artificial intelligence in the enterprise. The announcement was made at the 2017 Strata Data Conference in New York.
Posted September 28, 2017
Splunk is expanding machine learning capabilities across its product portfolio with the release of Splunk Enterprise 7.0, Splunk IT Service Intelligence (ITSI) 3.0, Splunk User Behavior Analytics (UBA) 4.0 and updates to Splunk Cloud.
Posted September 26, 2017
IBM plans to make a 10-year, $240 million investment to create the MIT-IBM Watson AI Lab in partnership with the Massachusetts Institute of Technology. The lab will carry out fundamental artificial intelligence research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI's impact on industries, such as health care and cybersecurity, and explore the economic and ethical implications of AI on society. IBM's investment in the lab will support research by IBM and MIT scientists.
Posted September 11, 2017
Cloudera has acquired Fast Forward Labs, an applied research and advisory services company, that specializes in machine learning and applied AI.
Posted September 07, 2017
We're still very much in the early days of artificial intelligence (AI). However, money is pouring into AI initiatives at astounding rates, and enterprises need to move at a deliberate speed to adopt and leverage AI across their systems, applications, and data.
Posted August 09, 2017
Tableau Software has acquired ClearGraph, a Palo Alto startup founded in 2014 that enables data discovery and data analysis through natural language query technology.
Posted August 09, 2017
Building on its Identity-based Security Operation Center (SOC) cloud services, Oracle has announced a series of developments that enhance the portfolio's machine learning, artificial intelligence and contextual awareness technologies. The latest round of enhancements include Adaptive Access capabilities into Oracle Identity Cloud Service intended for dynamic application access controls, advanced risk monitoring by leveraging machine learning engines, and the expansion of Oracle CASB Cloud Service to help support Oracle SaaS solutions with automated threat detection.
Posted June 07, 2017
Today's headlines are filled with news about artificial intelligence (AI), proclaiming variously that robots will take our jobs, cure cancer, or change industries in ways unseen since the industrial revolution. One thing is clear to those of us watching closely, however: It's not all hype. In 2016 alone, the quantity of AI startup acquisitions was remarkable, but most of these massive investments were made by an elite corps of companies, such as Amazon, Google, Apple, Facebook and a few others.
Posted May 15, 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 May 03, 2017
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
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