Artificial Intelligence Articles
Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. The challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model training and deployment. In response, new solutions have emerged to deliver key capabilities in areas including visualization, self-service and real-time analytics.
Posted June 24, 2019
Oracle recently announced fiscal 2019 Q4 results and fiscal 2019 full year results. "In Q4, our non-GAAP operating income grew 7% in constant currency—which drove EPS well above the high end of my guidance," said Oracle CEO Safra Catz. "Our high-margin Fusion and NetSuite cloud applications businesses are growing rapidly, while we downsize our low-margin legacy hardware business. The net result of this shift away from commodity hardware to cloud applications was a Q4 non-GAAP operating margin of 47%, the highest we've seen in 5 years."
Posted June 24, 2019
TrustArc, a privacy compliance management company, is releasing Privacy Profile, a solution that will automate identifying the privacy and security regulations applicable to any business. Privacy Profile, part of the Intelligence Engine within the TrustArc Platform, simplifies privacy management through an intelligent, easy-to-use interface by providing actionable compliance guidance based on an automated review of key company information, including the location of customers and employees along with other relevant business details.
Posted June 24, 2019
Bluewolf, an IBM company, has introduced AI Now for Connected Commerce at Salesforce Connections. With the goal of simplifying the retail landscape across service, marketing, and sales channels, AI Now For Connected Commerce is a B2C and B2B platform that can provide intelligent order management, price promotion and supply chain management—powered by IBM Watson on Salesforce Marketing, Commerce, and Service Clouds.
Posted June 24, 2019
Oracle has announced the Oracle Exadata Database Machine X8 which features hardware and software enhancements, including AI and machine learning capabilities, to supercharge performance. With Exadata X8, Oracle introduces new machine-learning capabilities, including Automatic Indexing, which continuously learns and tunes the database as usage patterns change. Based on technology from Oracle Autonomous Database, the process is automatic and improves database performance while eliminating manual tuning.
Posted June 19, 2019
Tamr has announced the general availability of the Spring 2019 release of the company's patented data unification system. Purpose-built to leverage machine learning, human knowledge, and—where appropriaterules to solve data integration challenges, Tamr enables organizations to create unified data assets that fuel analytic insights and operational improvements.
Posted June 18, 2019
Salesforce has unveiled its Customer Data Platform (CDP) with the next generation of Customer 360. New platform services will enable companies to unify disparate customer data throughout their entire organization and then personalize every engagement based on a single view of the customer. Customer 360 will go beyond traditional CDP capabilities and extend the power of CRM with consumer-scale data management and activation.
Posted June 18, 2019
Time series databases are optimized for collecting, storing, retrieving, and processing time series data. It's critical that businesses use a time series database for time series data and not one of the traditional data stores. DBTA recently held a webinar with Daniella Pontes, product manager, InfluxData, who discussed how Time Series Databases are built with specific workloads and requirements in mind, including the ability to ingest millions of data points per second.
Posted June 17, 2019
Oracle has launched a new Oracle Cloud Solution Hub in Kuala Lumpur, and has been recruiting to fill close to 150 new positions for the new facility with experienced and highly trained cloud consultants.
Posted June 12, 2019
Alteryx has introduced Assisted Modeling, an interactive guide built into the Alteryx Platform to walk users through the creation of machine learning models. With the introduction of Assisted Modeling, the company plans to amplify the capabilities of analysts and citizen data scientists, delivering transparent machine learning in a code-free environment.
Posted June 12, 2019
WANdisco, the LiveData company, is launching LiveMigrator, a non-blocking technology that migrates petabytes of unstructured data from on-premise data centers to any cloud vendor in one pass. Rather than implementing costly and risky multiple passes to migrate data, which can take three to six months and block users from making changes, applications can continue to access the on-prem environment - even as data moves to the cloud - with users directing new workloads or queries at cloud assets.
Posted June 11, 2019
While change has always been a part of the database credo, the growing emphasis on data-driven decision making in today's economy has resulted in a dizzying plethora of technologies and methodologies entering the market. The number and scope of game-changing technologies are too numerous to mention, and one thing is certain: Database management will never be the same. We have identified some of the most promising technology initiatives, based on discussions with and input from data experts from across the industry spectrum, gathering their views on the key technologies—well-known or under the radar—that are worth watching.
Posted June 10, 2019
Db2 version 11.5 has added drivers for leading AI languages to help ease AI app dev with Db2; new natural language querying and visualization capabilities designed to help speed data search; an updated common SQL engine to make Db2 more accessible to more data sources.
Posted June 10, 2019
SnapLogic, provider of an Intelligent Integration Platform, is now a certified CoupaLink Technology Partner after successfully completing the certification to integrate with the Coupa Business Spend Management (BSM) Platform. SnapLogic's new Coupa connector uses Coupa's REST-based APIs to enable seamless data flow to and from the Coupa BSM Platform.
Posted June 07, 2019
DBTA's next Data Summit conference will be held May 19-20, 2020, with pre-conference workshops on Monday, May 18. The conference will return to the Hyatt Regency Boston.
Posted June 06, 2019
Google LLC has entered into an agreement to acquire Looker, a unified platform for business intelligence, data applications, and embedded analytics, in a $2.6 billion all-cash transaction. Upon the close of the acquisition, Looker will join Google Cloud.
Posted June 06, 2019
As Data Summit 2019 comes to a close, John O'Brien, principal advisor and CEO, Radiant Advisors, looked at lessons learned from this year's conference during his closing keynote. Companies are not lacking in technology options; in most cases, more advanced technologies exist than can be absorbed into the organization all at once.
Posted May 23, 2019
As we move into a new computing era, technology has outstripped society in its ability to up-end labor markets and industries, as well as personal lives. In a panel discussion at Data Summit 2019, Sue Feldman, president, Synthexis, David Bayer, Executive Director, Cognitive Computing Consortium, Tom Wilde, CEO, Indico, and Steven Cohen, COO, co-founder, Basis Technology, explored the ethical and legal issues that computing advances have raised.
Posted May 22, 2019
AI is already having a significant impact for the U.S. government, including defense and intelligence community use cases, and is also providing game-changing capabilities for global enterprises in a range of industries, including financial services, life sciences, and technology. In a presentation at Data Summit 2019, titled "Solving Business Problems in Government, Financial Services," Amy Guarino, COO, Kyndi, offered real-world examples of how AI is driving measurable benefits in a range of industry sectors, and discussed the importance of explainable AI to regulated industries like financial services and healthcare, where being able to justify the reasoning behind algorithmic decisions is essential.
Posted May 22, 2019
There are new technologies that contribute to speed and scale of a modern data platform. But as data size and complexity increase with Big Data, data quality and data integration issues must still be addressed. At Data Summit 2019 Prakriteswar Santikary, VP & Global Chief Data Officer, ERT discussed how to create the architecture of a modern, cloud-based, real-time data integration and analytics platform that ingests any type of clinical data (structured, unstructured, binary, lab values, etc.) at scale from any data sources, during his presentation, "Designing a Fast, Scalable Data Platform."
Posted May 22, 2019
In a keynote at Data Summit 2019 titled "Digital Transformation Is Business Transformation: How to Incorporate AI Technology Into a 130-Year-Old Company" Helena Deus, technology research director, Elsevier, showcased how the company combines content and data with analytics and technology to help researchers to make new discoveries and have more impact on society, and clinicians to treat patients better and save more lives.
Posted May 22, 2019
The second day of Data Summit 2019 opened up with "Data and Donuts," a presentation featuring Paul Wolmering, VP worldwide sales engineering, Actian Corporation. His discussion focused on next-generation cloud data warehousing and what it takes to deliver insights from real-time data economically and at scale with hybrid data regardless of location, in the cloud, on-premises or both.
Posted May 22, 2019
Enterprise agility isn't a single initiative but rather a collection of activities and technologies that lead toward that goal. This includes adoption of microservices, containers, and Kubernetes to increase the flexibility of systems, applications, and data by releasing them from underlying hardware. In addition, practices such as DevOps are helping to increase the level of collaboration possible for fast-moving enterprises.
Posted May 22, 2019
At Data Summit 2019, Matthew Deyette, chief customer officer, presented a keynote titled The Evolution of Big Data Analytics, Data Summit 2019. Data availability for AI, regardless of what the goal is, is a critical problem, said Deyette.
Posted May 21, 2019
A.M. Turing Award Laureate and database technology pioneer Michael Stonebraker delivered the welcome keynote at Data Summit 2019, titled "Big Data, Technological Disruption, and the 800-Pound Gorilla in the Corner."
Posted May 21, 2019
Whether the enterprise is completely new to machine learning (ML) or it has already trained and deployed a model from scratch, Google Cloud Platform has a variety of tools to help the company start using ML right now. Sara Robinson, developer advocate, Google, centered her presentation around the basics of machine learning during her Data Summit 2019 presentation, "Exploring Machine Learning on the Google Cloud Platform."
Posted May 21, 2019
With edge computing becoming the next big thing, AI on-the-edge is quickly following suit. It unlocks a whole new world of possibilities, including predicting customer needs before they even know them. To tap into this opportunity, organizations don't need to choose a risky "all in" approach; a small iterative approach reduces the risk while ensuring edge AI projects aligns the overall business strategy.
Posted May 21, 2019
The customer experience (CX) is prime territory for employing AI technologies. Built upon mobile use and location data, bot services help customers with a variety of services, ranging from in-room amenities and dinner reservations to event tickets.
Posted May 21, 2019
The world of data management and administration is rapidly changing as organizations digitally transform. In a presentation at Data Summit 2019, Craig S. Mullins, Craig S. Mullins, president & principal consultant, Mullins Consulting, Inc., looked at how database management systems are changing and adapting to modern IT needs.
Posted May 21, 2019
Depending on who you talk to, AI will either enable massive productivity gains from your employees or replace them entirely. All the debating aside, AI is coming, and companies need to understand how to harness it.
Posted May 21, 2019
At Data Summit 2019, Susan E. Feldman, president, Synthexis, and David Bayer, executive director, Cognitive Computing Consortium, offered an overview of key cognitive computing considerations in a workshop titled "Cognitive Computing 101."
Posted May 20, 2019
DataOps is a modern engineering practice that can improve the speed and accuracy of analytics. In a pre-conference workshop at Data Summit 2019, Mark Marinelli, head of product at Tamr, identified the processes, technologies, and roles involved in DataOps to improve the speed and availability of data for analytics—as well as the common pitfalls to avoid.
Posted May 20, 2019
Machine learning (ML) is on the rise at businesses hungry for greater automation and intelligence with use cases spreading across industries. At the same time, most projects are still in the early phases. From selecting data sets and data platforms to architecting and optimizing data pipelines, there are many success factors to keep in mind.
Posted May 20, 2019
It is still early for the use of cognitive technologies and AI, but many organizations are exploring the potential it holds across a range of industries. Retail, banking, healthcare, and manufacturing are industries leading the charge to leverage AI today. At the same time, concerns persist.
Posted May 16, 2019
SnapLogic is releasing the May 2019 version of the SnapLogic Intelligent Integration Platform, extending its leadership in AI-enabled integration. This latest release adds several new core platform, API management, and data science capabilities, driving greater productivity and insights for users while accelerating enterprise-wide innovation and automation initiatives.
Posted May 15, 2019
AI on-the-edge is an emerging development, unlocking a whole new world of possibilities, including predicting customer needs before they even know them. But edge AI seems like it's only a game for the most cutting-edge companies like Apple, Amazon, or Tesla, to name a few. Traditional enterprises aren't really embracing it out of fear it may cost too much or due to uncertainty about the potential ROI.
Posted May 15, 2019
MarkLogic has announced embedded machine learning and other features in MarkLogic Data Hub 5.0 and the MarkLogic 10 multi-model database, providing a complete enterprise solution for integrating, curating, securing, analyzing, and acting on business-critical data.
Posted May 14, 2019
The location of Africa, between the U.S. and China, makes it an ideal place to develop robust manufacturing capabilities with easy access to the world's largest economies. It's just a matter of time before an African city emerges as a bonafide sister city to Silicon Valley itself.
Posted May 09, 2019
Accenture's Bhaskar Ghosh recently reflected on how systems have and will change and the forces driving this transformation. "Boundaries between applications and infrastructure are blurring to the point they're nearly indistinguishable," noted Ghosh.
Posted May 09, 2019
There is a new era of cognitive computing unfolding, and its impact is already being felt across industries, in uses as varied as preventative maintenance tasks at manufacturing plants, improving diagnoses at hospitals, and the implementation of sophisticated chatbots ready to assist us.
Posted May 09, 2019
AntWorks, a global provider of artificial intelligence and intelligent automation solutions powered by fractal science, is introducing ANTstein SQUARE. The platform is a fullstack solution that enables non-technical business users to automate end-to-end business processes quickly, easily, and in a scalable manner.
Posted May 03, 2019
Couchbase is releasing the latest version of Couchbase Mobile, an embedded NoSQL database, enabling developers to create mobile applications and manage data securely.
Posted May 02, 2019
Will the DBA disappear? No, far from it. But specific skills needed by DBAs and certain job roles fulfilled by DBAs will certainly change as we move to the cloud.
Posted May 01, 2019
Machine learning can be used for a variety of roles such as troubleshooting, capacity planning, and performance analysis. Businesses can use machine learning to understand seasonality for trending and forecasting capabilities or view dashboards on data already collected.
Posted May 01, 2019
Dynatrace, a software intelligence company, is extending its AI-powered platform to include IBM Z support for CICS, IMS, and middleware. The aim is to give customers precise information about the performance of digital services across hybrid environments; from modern cloud applications to the mainframe.
Posted April 29, 2019