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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

Big data can help drive decisions in almost every aspect of our lives—from the way financial products are underwritten, learning programs are designed, energy is used, healthcare diagnoses are made, insurance rates are assessed, commerce is conducted, and fraud is prevented—the list is infinite. As these decisions can affect individuals and society as a whole, it is compulsory that data experts apply integrity, transparency, and due diligence into the analytics that mine information and the algorithms that inform our decision making and problem solving.

Posted March 13, 2018

CA Technologies, a provider of business automation software, is upgrading its CA Workload Automation AE (AutoSys), introducing major new features for enhanced performance. The new release makes the solution easier to own and manage to help users provide that critical applications and businesses processes run smoothly and continuously.

Posted March 08, 2018

Graph databases are increasingly popular. In fact, according to DB-Engines graphs are the fastest growing of any database category since 2013. This growth is fueled in part because many organizations are realizing the value of understanding connections in their data. For companies looking to use a graph database to build behavior and decision-making applications based on real-time evaluation of connected data, there are several key attributes, including integrity, performance, efficiency and scalability.

Posted March 07, 2018

Two key areas of technology that Oracle is innovating in are blockchain and IoT, according to Thomas Kurian, Oracle president of product development.  Kurian spoke during the company's CloudWorld keynote in New York, which focused largely on demonstrating the benefits of cloud, automation, and artificial intelligence.

Posted March 07, 2018

Malware sophistication is increasing as adversaries begin to weaponize cloud services and evade detection through encryption, used as a tool to conceal command-and-control activity. To reduce adversaries' time to operate, security professionals said they will increasingly leverage and spend more on tools that use AI and machine learning, the 11th Cisco 2018 Annual Cybersecurity Report finds. 

Posted March 05, 2018

Datawatch Corporation is launching Datawatch Monarch Swarm, an intelligent enterprise data preparation and analytics platform that can transform how businesses interact with and leverage their greatest assets. With new and innovative applications of machine learning technology to benefit every user no matter their skill-level, Monarch Swarm empowers every individual, department, and organization with advanced intelligence and insight into how data can be used to drive further team collaboration, socialization, and support of data governance practices.

Posted March 05, 2018

SAP is introducing the latest release of SAP S/4HANA Cloud, 1802, including advanced and more intelligent functionality in machine learning, in-memory analytics, in-context collaboration and more.This, combined and enriched by SAP's digital assistant, is enhancing new innovations for the finance, manufacturing, sales, procurement, and professional services industries.

Posted February 28, 2018

Cleaning data is no different from many types of maintenance - just as disorganization creates disruptions in life, working with unclean data can be a recipe for disaster for an enterprise. Wasting time searching for clean data, making bad decisions, inefficiently processing functions, and receiving regulatory fines are just a few of the mishaps that can confront an organization with dirty data.

Posted February 28, 2018

Fujitsu has announced two solutions designed to help organizations deploy extremely data-intensive applications needed for their digital transformation, through greatly improving the ease of management for scale-out SAP HANA in-memory database deployments.

Posted February 28, 2018

Splunk has agreed to acquire Phantom Cyber Corporation, a security orchestration, automation and response (SOAR) vendor. Under the terms of the agreement, Splunk will acquire Phantom for a total purchase price of approximately $350 million.

Posted February 27, 2018

Symphony Ventures, a global services firm specializing in intelligent automation, today announced the launch of a new General Data Protection Regulation (GDPR) compliance capability. Partnering with, IT Governance, Symphony will offer global enterprises an end-to-end solution for meeting and maintaining GDPR compliance with greater accuracy, speed and visibility.

Posted February 23, 2018

Reltio, provider of the Reltio Self-Learning Data Platform, has announced Reltio Cloud 2018.1, the newest version of its native cloud platform that organizes enterprise data for continuous self-learning. The new release includes the next evolution of Reltio IQ (formerly Reltio Insights) which takes advantage of advanced analytics and machine learning for day-to-day operations and applications. A key feature of Reltio IQ is the ability to derive IQ scores or recommendations for efficient data organization (e.g., data quality) and for business insight (e.g., churn risk), and to embed them back into customer, account or product profiles for easy segmentation and operational execution. 

Posted February 22, 2018

Cambridge Semantics, provider of a universal semantic layer for big data management and connected data analytics solutions, is previewing AnzoGraph, a native graph-based parallel query engine available for analyzing data from Amazon Neptune, the new graph database service from Amazon Web Services (AWS).

Posted February 22, 2018

Qubole, the cloud big data-as-a-service company, is teaming up with Snowflake Computing, a data warehouse built for the cloud, enabling organizations to use Apache Spark in Qubole with data stored in Snowflake. With the new integration between cloud services, data teams are able to build, train, and put in production machine learning (ML) and artificial intelligence (AI) models in Spark using information stored in Snowflake.

Posted February 14, 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 February 01, 2018

Download any app onto a smartphone these days and you'll be prompted by the same question: Do you want to turn location services on? For consumers, letting Google Maps or Waze know exactly where you are is a must — it's the essence of why those apps exist. But have you ever wondered why other types of businesses, from grocery stores to social media platforms, want to know where their patrons are at all times?

Posted February 01, 2018

IBM is introducing three new offerings that aim to streamline the data management, data governance, and data science processes. As data continues to increase in value and complexity, IBM's latest platform approach will make it easier for organizations to begin leveraging the most effective data science and governance solutions in the most strategic and effective ways possible, according to the vendor.

Posted January 29, 2018

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 January 24, 2018

IBM reported fourth-quarter revenue of $22.5 billion, up 4%. Systems (includes systems hardware and operating systems software)—saw revenue of $3.3 billion, up 32% over the same quarter last year, driven by growth in IBM z, Power Systems, and storage.

Posted January 22, 2018

IBM and Salesforce have expanded their strategic partnership, bringing together IBM Cloud and Watson services with Salesforce Quip and Salesforce Service Cloud Einstein.

Posted January 22, 2018

CA Technologies is partnering with Tampere University of Technology and Tieto in Finland on Cobotics—a collaborative robotics project. The project will explore the challenges of building safe, secure, and effective human-to-robot workflows. Ensuring proper control and execution of these "cobot" workflows and understanding their information requirements is central to maximizing the potential of robot-human collaboration.

Posted January 22, 2018

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 January 10, 2018

Emerging technologies are outpacing data governance at a rapid clip. Specifically, the rate of growth and development of emerging technologies in areas such as artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) drastically exceeds the current speed and willingness of businesses to change their governance models to manage and protect their data and information assets. Unfortunately, the larger the delta becomes between the advancements in technology and the changes in governance, the greater the risks and losses for the business.

Posted January 09, 2018

IBM and Blue Prism have teamed up to deliver a digital workforce platform, intended as an outsourcing alternative. The offering is intended to help organizations scale and manage workloads. IBM has been working for three years deploying Blue Prism robotic process automation (RPA) software in its own cost saving initiatives in application and infrastructure outsourcing, as well as transforming internal operations.

Posted January 08, 2018

As Paul Graham, founder of Y-Combinator, has put it: "Hacking and painting have a lot in common … [hackers and painters] they're both makers." And as modern-day artists, developers will help create the future of cognitive computing and AI. New technology has granted them more paints and more materials with which to paint and sculpt. It will allow them to create works of art never previously envisioned, that are powered by big datasets and cognitive systems. But they can't go it alone. Even da Vinci had his patrons. That leads to the next logical questions. How should organizations support their developers right now? And where should they place resources to ensure their developers reap the greatest benefits from cognitive technologies?

Posted January 04, 2018

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

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

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