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Artificial Intelligence Articles

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

It's no secret that data management has changed dramatically in the nearly 10 years since the onslaught of "big data." A decade ago, the relational database management system (RDBMS) ruled the enterprise.  Today, polyglot persistence is the mandate, and innovative NoSQL and NewSQL databases, cloud services, and data processing technologies have arisen alongside stalwart RDBMSs, data warehouses, and traditional on-premise deployments. However, despite the increasingly challenging data environment, experts agree, opportunities for DBAs abound—provided they are willing to continue learning and growing and to step in to fill gaps where they open up.

Posted February 22, 2018

Machine learning offers a wealth of opportunity to companies in terms of faster response to opportunity, risk avoidance, sentiment analysis, fraud detection, and the ability to make targeted offers to customers. But along with the many answers it provides, it also presents a variety of thorny questions, according to David Weinberger, senior researcher with Harvard's Berkman Center for Internet & Society, who will give a keynote talk at Data Summit 2018 titled "Once We Know Everything."

Posted February 22, 2018

DBAs may think that machine learning cannot possibly perform all of their tasks and but it is entirely feasible and likely that the machine learning functionalities will perform all of the tasks of an operational DBA - or will very soon, writes Eric Mader in the fourth installment of a six-part article series by editors of IOUG SELECT and Big Data Quarterly on "The Changing Role of the Modern DBA."

Posted February 21, 2018

Take advantage of the many opportunities for peer interaction through panel discussions and provocative talks at this year's Data Summit conference. This unique event brings together IT practitioners and business stakeholders from all types of organizations.

Posted February 21, 2018

DBAs may think that machine learning cannot possibly perform all of their tasks and but it is entirely feasible and likely that the machine learning functionalities will perform all of the tasks of an operational DBA - or will very soon, writes Eric Mader in the fourth installment of a six-part article series by editors of IOUG SELECT and Big Data Quarterly on "The Changing Role of the Modern DBA."

Posted February 21, 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

It's time to submit nominations for the annual Database Trends and Applications Readers' Choice Awards Program in which the winning information management solutions, products, and services are chosen by you—the people who actually use them. This year, there are 28 categories in which to submit nominations.

Posted February 14, 2018

The worldwide cognitive systems and artificial intelligence revenue has been forecast to grow beyond $47 billion in 2020, changing how we live and work dramatically. Will you be ready? Cognitive Computing Summit is coming to Boston in May to provide a 2-day immersion into the cognitive computing use cases, strategies, and software that every organization should know about now. 

Posted February 09, 2018

Are machines better equipped to do what DBAs do? There was an interesting post recently that stated 800 million jobs worldwide were at risk due to automation by 2030. The impact will not be equally distributed between job functions. In addition, different job functions will see different percentages of jobs automated.

Posted February 07, 2018

It's no secret that data management has changed dramatically in the nearly 10 years since the onslaught of "big data." Nonetheless, experts agree, there has never been a better time to be a DBA—provided you are willing to continue learning and growing and to step in to fill gaps where they open up.

Posted February 05, 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

Fresh challenges and opportunities in data management and analytics are constantly emerging. A new year brings a renewed focus on addressing challenges head on. As we embark on 2018, some of the issues that are top-of-mind for many companies include compliance with the EU's upcoming GDPR, the need for integration with additional data management frameworks as well as cloud platforms, support for more languages, and stronger security.

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 expense to design and manufacture robots is rapidly declining. Big data, artificial intelligence (AI), machine learning, and deep learning, coupled with componentized software and near-unlimited processing power, are enabling new classes of robotics never possible before.

Posted January 25, 2018

A new study conducted by Unisphere Research and sponsored by Quest Software examines the challenges being faced by database administrators (DBAs) and other data professionals who have long been the key guardians of companies' critical data assets. DBAs' primary responsibilities have been aimed at ensuring that data is safely, securely, accurately, and appropriately stored, managed, and maintained. However, over the last 10 years, major trends in technology have shaped—and reshaped—the ongoing role of the DBA in many organizations, according to the study, "DBAs Face New Challenges: Trends in Database Administration."

Posted January 25, 2018

As we enter a new year new trends will take their turn in the spotlight. This is no different for the big data landscape. We have come a long way since the term "big data" swept the business world off its feet as the next frontier for innovation, competition, and productivity. Hadoop, NoSQL, and Spark have become members of the enterprise IT landscape, data lakes have evolved as a real strategy and migration to the cloud has accelerated across service and deployment models.

Posted January 25, 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

Data security is a growing concern in all enterprises, and since DBAs have been guardians of the data, their skillset can be utilized in moving forward to combat new risks and threats, writes Extreme Scale Solutions' Michelle Malcher in the latest article in a six-part series by editors of IOUG SELECT and Big Data Quarterly on the "The Changing Role of the Modern DBA."

Posted January 22, 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

The expense to design and manufacture robots is rapidly declining. Big data, artificial intelligence (AI), machine learning, and deep learning, coupled with componentized software and near-unlimited processing power, are enabling new classes of robotics never possible before. The graphical processing unit has evolved far from its humble video game beginnings into a system of such processing power that a microsecond is considered to be unacceptably high latency. Large fortunes are being generated as these companies are developing into entities that resemble the great figures and even empires of antiquity. When considering the technology industry as a whole, it is understandable if we wonder if we are witnessing the inception of a new colossus.

Posted January 03, 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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