Artificial Intelligence Articles
Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., is making updates to its data infrastructure portfolio, including new AI-enhanced data center management software and an expanded lineup of flash storage systems designed to reach a broader range of customers. According to the company, the new systems and AI operations software deliver the agile data infrastructure and intelligent operations customers need to accelerate data center modernization efforts.
Posted May 21, 2018
Neural networks and deep learning are frequently recognized as the key to futuristic innovations like facial recognition, with consumers paying up for the novelty of using their visage to unlock their phones, and police squads partnering with AI startups to catch criminals. But the use cases for neural nets extend well beyond those flashy scenarios, and innovations in hardware are enhancing accessibility, signaling that it's time for more companies to find appropriate business cases for their industry.
Posted May 21, 2018
Microsoft has acquired Semantic Machines Inc., a Berkeley, California-based company with an approach for building conversational AI. It uses the power of machine learning to enable users to discover, access, and interact with information and services.
Posted May 21, 2018
Oracle has signed an agreement to acquire DataScience.com, whose platform centralizes data science tools, projects and infrastructure in a fully-governed workspace.
Posted May 17, 2018
Extending autonomous capabilities across its Cloud Platform, Oracle has announced the availability of Oracle Autonomous Analytics Cloud, Oracle Autonomous Integration Cloud, and Oracle Autonomous Visual Builder Cloud.
Posted May 16, 2018
Accenture has revealed its new "Technology Vision for Oracle" report, forecasting the five key technology trends that will drive Accenture and Oracle's collaboration in the enterprise over the next 3 years. Designed to highlight the strategic shifts companies must make to take advantage of the potential of the intelligent enterprise, the report looks at specific use cases and technologies that are actively reinventing businesses.
Posted May 16, 2018
With the E.U.'s General Data Protection Regulation (GDPR) set to go into effect in less than 2 weeks, new research shows U.S. companies are still unprepared. The research garnered responses from U.S. companies with annual revenue greater than $10 million regarding their understanding of and preparedness for GDPR, uncovering two areas where companies are significantly exposed to legal risk by these new regulations. Penalties go into effect on May 25, 2018, and non-compliant organizations risk triggering fines up to 20 euros million or 4% of global revenue, whichever is higher.
Posted May 15, 2018
Silicon Valley has achieved an almost mythical status in both modern American popular culture as well as the annals of world economic history. Located south of San Francisco, the name "Silicon Valley" was coined in the early 1970s due to the volume of silicon chip innovators and manufacturers in the area. Today, the valley is synonymous with technology innovation and venture capital: two mighty forces of change.
Posted May 11, 2018
To provide customers with the tools and insight to meet rapidly evolving business demands, Oracle NetSuite has introduced an intelligent cloud suite. By building capabilities based on artificial intelligence (AI) and machine learning (ML) within its cloud business management suite, Oracle says, NetSuite can deliver the insight, interaction and automation customers need to grow their businesses.
Posted May 07, 2018
The impact of cognitive computing technologies—including artificial intelligence (AI) and machine learning (ML)—is increasingly being felt in data centers and database operations of all sizes, across all industries. Research shows that AI and related cognitive technologies are no longer just experiments conducted by computer or data scientists—they are part of a real-world technology wave that is already showing tangible business results.
Posted May 02, 2018
An astounding array of new technologies and approaches have emerged on the database scene over the past few years that promise to turn the next 12 months into a time of unprecedented transformation for the database landscape. There are new developments, along with reinforcement of tried-and-true technologies, some of which may help make the jobs of data managers just a bit easier.
Posted April 25, 2018
Machine learning is the hottest trend right now in the big data space. Nearly half (48 percent) of the companies who say they have already benefited from machine learning cite increased profitability as the top benefit they have realized, according to a new study from SAP.
Posted April 25, 2018
Compuware released a new web interface and mainframe machine-learning tool intended to boost mainframe productivity. Compuware's latest release of ThruPut Manager, a web interface, helps provide mainframe staff with visually intuitive insight into how batch jobs are being initiated and executed, as well as the impact of those jobs on mainframe software licensing costs.
Posted April 23, 2018
DBAs can recover a database, tune SQL, and may even know how to write some PL/SQL when push comes to shove. And, yes, those are all great skills to have. But in 2018, DBAs need more, writes Matt Malcheski in a new IOUG SELECT article. Malcheski goes over the "hot topics," including blockchain, AI, and Internet of Things, and notes that DBAs of the future will need to understand not only the technical aspects of these and the other technologies but also must be able understand and add value to the functional data requirements necessary for all-encompassing solutions. "This is characterized in a data point from Gartner: By 2021, 40% of IT staff will be 'versatilists' holding multiple roles, most of which will be business rather than technology related."
Posted April 18, 2018
The key to understanding AI's current and future impact is its transformation of business processes. A widespread misconception is that AI systems, including advanced robotics and digital bots, will gradually replace humans in one industry after another. Self-driving vehicles, for example, will one day replace taxi, delivery, and truck drivers. That may be true for certain jobs, but what we've found in our research is that, although AI can be deployed to automate certain functions, the technology's greater power is in complementing and augmenting human capabilities.
Posted April 13, 2018
IBM has launched three new consulting services offerings, as well as an IBM Blockchain Platform Starter Plan, a low-cost plan to help clients, developers, and startups to develop, operate, and govern networks on the IBM Blockchain Platform.
Posted April 11, 2018
IBM has announced a series of new, industry-specific, machine-readable data sets designed to expedite AI training workflows. The first kits will serve the travel, transportation and food industries, with more to follow. With expected availability in Q2 2018, the kits will initially serve the travel and transportation and food industries with Watson Data Kits for travel points of interest and food menus, respectively.
Posted April 09, 2018
GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache Ignite, is launching GridGain Professional Edition 2.4, including a Continuous Learning Framework. The addition of this framework in the latest update includes machine learning and a multilayer perceptron (MLP) neural network that enable companies to run machine and deep learning algorithms against their petabyte-scale operational datasets in real-time.
Posted April 05, 2018
SWIM.AI today exited stealth and announced the general availability of its edge software solution. SWIM EDX delivers edge intelligence and real-time business and operational insights. By applying analytics, self-training digital twins and edge computing, SWIM EDX allows manufacturers, infrastructure providers, enterprises, municipalities, and IoT vendors to analyze and take immediate action on fast edge data.
Posted April 04, 2018
Pure Storage, the all-flash storage platform that, unveiled a new AI-Ready Infrastructure, AIRI, powered by NVIDIA, to power and operationalize AI-at-scale for every enterprise. Architected by Pure Storage and NVIDIA, AIRI is purpose-built to enable data architects, scientists and business leaders to extend the power of the NVIDIA DGX-1.
Posted April 03, 2018
With news unfolding about an app that was able to gather 50 million Facebook users' data that was later resold to a political data firm in order to try to influence American voter sentiment, industry leaders are weighing in on what this may mean for the future of governance and regulatory compliance. While not a breach or hack, the use of the data by a third party, and the particular purposes it was collected for, has drawn outrage from lawmakers and Facebook customers, and prompted heightened interest in regulations that could enable individuals to control the use of their data.
Posted March 29, 2018
SAP is launching the application edition of the SAP Predictive Analytics software to help enterprises create and manage predictive machine learning models for applications that run business activities. Co-developed with Accenture, the application edition enables intelligent enterprises by embedding predictive and machine learning capabilities in their applications, putting powerful data-driven insights at the fingertips of every business user.
Posted March 28, 2018
In the IoT world, devices are moving from smart to intelligent due to the advent of artificial intelligence and machine learning. However, this is now hindered due to the natural limitations of the cloud. In order to progress, devices need lower latency, a higher level of independence, and better connectivity.
Posted March 26, 2018
The rise of DevOps, which promises to bring development and operations teams into alignment, is bringing database managers and administrators ever closer to the key touchpoints of their businesses. DevOps seeks to ensure the continuous delivery and consistent cadence of software releases and means that data professionals will have a key role to play in their organizations' information technology strategy. It's not happening a moment too soon—nimble, tech-savvy competitors have learned to leverage data as strategic business assets and are biting ever deeper into just about every existing market.
Posted March 22, 2018
Hewlett Packard Enterprise has added new offerings to help customers ramp up, optimize and scale artificial intelligence (AI) usage across business functions to drive outcomes such as better demand forecasting, improved operational efficiency and increased sales.
Posted March 22, 2018
Oracle recently acquired Zenedge, which helps secure critical IT systems deployed via cloud, on-premise, or hybrid hosting environments.
Posted March 21, 2018
Everything around us today is an outcome of the Industrial Age. The 250-plus years of changes allow a toaster in every house, a car in every driveway, and a computer in every pocket. It's hard to imagine the amount of change that workers have gone through during this period. We are now on the journey through the Information Age, and it continues to change our world every day. The future is not written, but I know who will create it: Those that seek out the change.
Posted March 21, 2018
Splice Machine is launching a connector that aims to boost IoT and machine learning applications.The solution, Apache Spark DataSource, provides a fast, native, ACID-compliant datastore for Spark and also opens up Splice Machine's underlying Apache Spark engine to directly use advanced capabilities such as Spark SQL, Spark Streaming, and MLlib or R (for machine learning).
Posted March 19, 2018
IBM is launching a new data science and machine learning platform along with an elite consulting team to help users accelerate their AI journeys. Powered by a fast in-memory database that can ingest and analyze massive amounts of data, IBM's new Cloud Private for Data is an integrated data science, data engineering, and app building platform.
Posted March 19, 2018
BMC has expanded its Control-M Managed File Transfer offering to include support for all file transfers—internal and external, in the cloud or on-premises—from a single, end-to-end digital business automation platform. With BMC's Control-M solution, companies have instant visibility into the status of file transfers and business application workloads, increasing efficiency and control of business services.
Posted March 19, 2018
CA Technologies has introduced a new release of CA Workload Automation AE (AutoSys), a workload engine for complex workloads. The new release includes major new features designed for ease-of-use and enhanced performance, together with direct integration with the CA Automic One Automation platform.
Posted March 19, 2018
CA Technologies has introduced a new release of CA Workload Automation AE (AutoSys), a workload engine for complex workloads. The new release includes major new features designed for ease-of-use and enhanced performance, together with direct integration with the CA Automic One Automation platform.
Posted March 19, 2018
IBM is launching a new data science and machine learning platform along with an elite consulting team to help users accelerate their AI journeys. Powered by a fast in-memory database that can ingest and analyze massive amounts of data, IBM's new Cloud Private for Data is an integrated data science, data engineering, and app building platform.
Posted March 16, 2018
Every organization is unique. So is every Oracle user. Enter COLLABORATE 18: Technology and Applications Forum for the Oracle Community (April 22-26 in Las Vegas). Designed to serve the evolving educational needs of today's users, COLLABORATE offers 12,00 informative sessions and events carefully selected by volunteers, Oracle pros themselves, from a global call for content. While there's no "one-size-fits-all," there is something for everyone.
Posted March 14, 2018
Does this sound familiar? You have a backlog of apps that your workforce is craving, and you simply don't have the team (or the time) to build them. In fact, the demand for apps is growing five times faster than IT's capacity to deliver them. This crunch is probably all too familiar for many, and it's forcing IT teams to find new ways to accelerate app development. The age-old question is, do you build, do you buy, or do you do something in between?
Posted March 13, 2018