Artificial Intelligence Articles
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
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 21, 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 20, 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
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