Artificial Intelligence Articles
New tools and technologies are becoming established in enterprises, helping organizations extract more value from data. Recently, industry experts weighed in on the trends that loom large in the future and those that appear to be waning.
Posted September 18, 2018
IT departments are under increasing pressure to keep up with the pace of business innovation. As data volumes rise, automation looms as a light at the end of the complex-process tunnel. The ability to leverage software, framework, and application tools to generate automated sequences based on various trigger events has become critical to the IT industry. But, it doesn't come without its challenges. When well-executed, IT automation can increase efficiency and productivity, reduce cost, and speed time to value. However, poorly crafted automated sequences and lack of integration between applications can make a lasting impact on application deployment and management, causing a ripple effect across the entire IT landscape.
Posted September 18, 2018
Previous technology shifts, such as the introduction of enterprise resource planning software, tended to be inward-facing, involving little contact with the customer. Things are different this time around. The companies that are embracing today's digital transformation trend are focusing squarely on the customer—connecting customer-facing initiatives with business processes to stay ahead of the competition.
Posted September 17, 2018
Machine learning and AI continue to be the hottest topic at tech conferences around the country and Strata Data was no different. Data professionals converged at the Jacob Javits Center in New York City from September 11 - 13 and the event was humming with the latest talk of how ML and AI will change the future.
Posted September 14, 2018
Actian, provider of hybrid data management, is releasing the Actian Zen Core database for Android, giving developers the ability to create more intelligent apps. Actian Zen Core database for Android focuses squarely on the needs of Edge and IoT application developers, providing persistent local and distributed data across intelligent applications embedded in smart devices.
Posted September 12, 2018
SAP is boosting SAP Analytics Cloud with new machine learning features to uncover correlations in an organization's data and help users make faster and more confident decisions. The announcement was made at the Strata Data Conference held September 12-14 in New York City.
Posted September 12, 2018
MapR has announced six new data science service offerings to help customers speed time to value from machine learning (ML) and artificial intelligence (AI). In addition, MapR announced the release of a new book, "AI and Analytics in Production," by Ted Dunning and Ellen Friedman that examines best practices for maximizing the value of data-driven applications in production.
Posted September 11, 2018
Moogsoft, a provider of artificial intelligence for IT operations, has announced Moogsoft Observe, intended to provide core AIOps platform capabilities from centralized analytics to the data source. Moogsoft ingests time-series and metrics data in real-time and applies AI to detect incidents at the source of the problem. Observe stores only anomalous and contextual data, providing IT teams specific knowledge to improve their online services and applications. It is targeted at IT generalists, including site reliability engineers and DevOps.
Posted September 10, 2018
TIBCO Software Inc., a provider of integration, API management, and analytics solutions, is debuting TIBCO Data Science on the Amazon Web Services (AWS) Marketplace. TIBCO Data Science, soon to be available in AWS Marketplace, allows data scientists to share and collaborate using big data, machine learning capabilities, while also providing data security and governance.
Posted September 05, 2018
There's a new generation of technologies reshaping data management as we know it. To explore some of the game-changing technologies or approaches that are having the most profound impact on today's enterprises, DBTA asked industry experts and leaders to cite what they see as having the most positive impact. The following are eight areas effecting the most change.
Posted September 05, 2018
There's been a lot of discussion recently about autonomous databases, which offer the promise of keeping database systems stable and performant while alleviating much of the tuning and configuration drudgery that DBAs must typically slog through. It is important to note that an autonomous database needs to strike a balance between giving administrators too much and too little control. Too much control takes the form of endless configuration and tuning parameters that place the burden of performance and stability on the operator. Too little control takes the form of automated behaviors that reduce the predictability of the system to an unacceptable level.
Posted September 04, 2018
Everyone wants to be part of a data-driven enterprise, and for good reason. Data analytics, when applied in a meaningful way, provides an enormous competitive advantage. There's a catch to this though that frequently gets overlooked amidst the glowing analyst projections and keynote speeches about a limitless future in which systems and machines do all the heavy lifting and thinking for businesses. Data—the right kind, in the right sequence, in the right context—doesn't just magically drop out of the cloud. It needs to be discovered, identified, transformed, and brought together for analysis, management, and eventual storage.
Posted September 04, 2018
Moogsoft, a provider of artificial intelligence for IT operations, is unveiling Moogsoft Observe, extending Moogsoft's core AIOps platform capabilities from centralized analytics to the data source. Moogsoft ingests time-series and metrics data in real-time and applies AI to detect incidents at the source of the problem. Observe stores only anomalous and contextual data, giving IT teams highly-advanced, specific knowledge to improve their online services and applications while dramatically lowering data transport, ingestion, and storage costs.
Posted August 30, 2018
C3 IoT is partnering with Google Cloud to accelerate AI and IoT application development for enterprise digital transformation. The companies have developed an integrated solution that delivers the C3 IoT Platform—a platform as a service (PaaS) for developing and operating big data, predictive analytics, AI, and IoT software applications—on the Google Cloud Platform, leveraging its infrastructure and AI services.
Posted August 30, 2018
SAP is making improvements to SAP S/4HANA Cloud, delivering dozens of new AI-powered scenarios that further power the intelligent enterprise. Building on SAP's industry domain expertise to help every customer become a best-run business, these updates will increase customer agility and flexibility, as they adapt to rapidly changing business conditions.
Posted August 29, 2018
Agorai, an integrated marketplace for Artificial Intelligence (AI) tools and the data assets that fuel them, and Ocean Protocol, a decentralized, blockchain data exchange protocol to unlock data for analytics and AI, are entering a strategic technology partnership. Under the agreement, Agorai will leverage Ocean Protocol's innovative technology to enable fully transparent, completely decentralized and securely validated data services for Agorai's AI and Data Marketplace.
Posted August 15, 2018
During a presentation at Oracle headquarters in Redwood Shores, in which Oracle CTO and chairman Larry Ellison unveiled the company's latest Autonomous Database Cloud Service, Oracle Autonomous Transaction Processing, he also sought to alleviate concerns that database automation will eliminate the jobs of longstanding Oracle database administrators. "I have got some bad news for you: No early retirement," he said. "A lot of the tedious things you were doing—allocating disk storage and upgrading the OS—you don't have to do. However, there is a lot more to do."
Posted August 15, 2018
Tredence, an analytics services company, is launching the AI Data Cleanser to use machine learning and deep learning technology to uncover reliable data. The AI Data Cleanser is a data cleansing and enrichment solution using machine learning/deep learning techniques to cleanse and enrich any master data.
Posted August 14, 2018
CognitiveScale Inc., a provider augmented intelligence and AI software, is being selected by Dell to help transform customer experience and marketing productivity through AI. Dell chose CognitiveScale and its Cortex 5 software to power and transform the core of their customer journeys.
Posted August 14, 2018
We all know that self-driving cars and other autonomous vehicles are coming. Prototypes of self-driving vehicles can be seen around Silicon Valley, and self-driving features are commercially available in Teslas and other brands. However, there are significant "smart car" features on the way that will affect both human- and self-driven vehicles.
Posted August 08, 2018
This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud computing are now mainstream offerings seen within the constellations of database vendors, partners, and integrators.
Posted August 08, 2018
Still a relatively new solution coming into its own streaming platforms allow individuals to see data in real-time batches. Streaming solutions can help businesses analyze data in motion, simplify the development of applications, and extend the value of existing systems by integrating with already implemented applications along with supporting both structured and unstructured data.
Posted August 08, 2018
Database downtime can inflict a fatal wound on the life of a business and having a trusted backup solution that can ensure that databases can be back up and running quickly in the event of an outage is critical. With long downtimes simply unacceptable, organizations seek solutions with capabilities such as the ability to manage backups seamlessly, manage and monitor backups, ensure data integrity, scale efficiently restore quickly to any point in time, and provide security features to stay in compliance with local geographic and industry mandates.
Posted August 08, 2018
Companies are increasingly looking for the right database for the data storage need at hand. That might mean NoSQL, NewSQL, in-memory databases, and cloud databases—also known as database as a service—approaches.
Posted August 08, 2018
At the close of a presentation in which he announced general availability of the company's latest Autonomous Database Cloud Service, Oracle Autonomous Transaction Processing, Oracle CTO and chairman Larry Ellison also previewed new capabilities of Oracle Database 19c. With the upcoming 19c release, machine learning eliminates performance regression testing, and Oracle will offer an additional deployment option.
Posted August 08, 2018
Informatica, the enterprise cloud data management provider, is launching new customer success offerings that leverage big data, AI, and machine learning. Informatica's new program boasts faster business value with consistent and superior experiences to customers worldwide.
Posted August 01, 2018
Iron Mountain Incorporated, a provider of storage and information management services, is partnering with Google Cloud to develop new AI-powered SaaS solutions. The new solutions on GCP will help organizations analyze their vast physical and digital information and data repositories, unlock insights, improve decision making, and create new revenue streams. Iron Mountain expects to deliver these new subscription services built on GCP this September.
Posted July 30, 2018
Providing insights into how businesses can leverage AI and ML to improve operations through real-world use cases, MapR is offering a free course targeted at developers just starting out in ML as well as higher-level business decision makers.
Posted July 30, 2018
Looker is integrating its platform with Google Cloud BigQuery ML (BQML), accelerating the time-to-value of data science workflows. With Looker and BigQuery ML, data teams can now save time and eliminate unnecessary processes by creating machine learning (ML) models directly in BigQuery via Looker - without the need to transfer data into additional ML tools.
Posted July 27, 2018
Insight Engines is launching the company's version 3.0 product, combining two key components: Insight Investigator and Insight Analyzer. Together, these offerings use natural language processing, machine learning, and expert knowledge to detect data gaps, ask high-value questions, and give recommendations based on industry intelligence and activities.
Posted July 27, 2018
Informatica is partnering with Google Cloud's Apigee product group to provide enterprises with a unified API management and integration solution. The collaboration is intended to allow organizations to leverage data and applications that are deployed in hybrid and multi-cloud environments, creating a continuously connected business to drive agility through innovations in AI-driven integrations and APIs.
Posted July 26, 2018
Sumo Logic, provider of a cloud-native, machine data analytics platform is unveiling 11 new Google Cloud Platform (GCP) applications as well as integration with Google Cloud's open source machine learning library, TensorFlow. The applications will enable real-time collection and analytics of machine data emitted by all major GCP services.
Posted July 23, 2018
Pure Storage, provider of an all-flash storage platform, has introduced FlashStack with FlashBlade to accelerate data warehouses. The company also announced that AIRI and AIRI Mini, AI-ready infrastructure solutions from Pure Storage and NVIDIA, are now available with Cisco Nexus ethernet switches
Posted July 18, 2018
People are ready to take instructions from robots at work according to a new Oracle study. However, the survey of 1,320 U.S. HR leaders and employees revealed that while people are ready to embrace artificial intelligence (AI) at work, and understand that the benefits go far beyond automating manual processes, organizations are not doing enough to help their employees embrace AI and that will result in reduced productivity, skillset obsolescence and job loss.
Posted July 18, 2018
Anaconda, a Python data science platform provider, is releasing Anaconda Enterprise 5.2, adding NVIDIA GPU-accelerated, scalable machine learning and more.
Posted July 17, 2018
Periscope Data is launching a new machine learning (ML) solution that leverages Amazon SageMaker as part of a comprehensive offering for data teams looking to solve complex problems. Periscope Data's new functionality with Amazon SageMaker will allow data analysts to tackle ML problems in one seamless workflow, from data prep to model training to reporting.
Posted July 16, 2018
Telit, a global enabler of Internet of Things (IoT) solutions, has announced that its deviceWISE IoT platform is now fully interoperable with the IBM IoT platform. Working together, the two companies say they will help manufacturers and other businesses to minimize the cost, risk, complexity and lead time of deploying solutions for monitoring and control, industrial automation, asset tracking and field service operations.
Posted July 12, 2018
CA Technologies has begun shipping a new release of its Automic One Automation platform, a unified suite of automation products delivering intelligent automation to the enterprise. According to CA, the release empowers operations with new lifecycle management capabilities of automation artifacts, intelligent critical-path management and support for PostgreSQL.
Posted July 02, 2018
Databricks is partnering with RStudio, providers of a free and open-source integrated development environment for R, to increase the productivity of data science teams and allow both companies to integrate Databricks' Unified Analytics Platform with the RStudio Server. The RStudio and Databricks integration removes the barriers that stop most R-based machine learning and artificial intelligence (AI) projects.
Posted June 29, 2018
Big data has changed in the way it is collected, stored, processed, and analyzed—spanning Hadoop MapReduce, cloud—and increasingly multi-cloud—Spark, streaming analytics, the use of AI, the growing importance of edge, and the expanding use of containerization, said Anoop Dawar, senior vice president product management and marketing, MapR. MapR's goal, he said, is to provide a platform that survives and thrives amidst the transitions in technology and deployment going on now and in the future.
Posted June 28, 2018
BlueData, provider of a Big-Data-as-a-Service (BDaaS) software platform, is releasing updates for its BlueData EPIC platform, building upon innovations for large-scale distributed analytics and machine learning (ML) workloads on Docker containers. This summer release is the result of collaboration with BlueData's enterprise customers to develop new functionality in each of these areas to support their Big Data and AI initiatives - as they extend well beyond Hadoop and Spark to a range of different ML / DL and data science workloads, and beyond on-premises infrastructure to public cloud and hybrid architectures.
Posted June 28, 2018