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Artificial Intelligence



Artificial Intelligence Articles

In financial services, the ability to spot fraud faster can be a key differentiator. At Data Summit 2018, Karun Komirishetty, senior manager, Software Engineering, Capital One, presented a session on how Capital One has created a fraud engine for Zelle payments, which are replacing traditional forms of payments such as checks, cash, and credit cards.

Posted May 23, 2018

Machine learning can be applied to sentiment analysis of unstructured data in the context of social media. As more and more people tap into social media tools to voice positive and negative opinions, it's important to predict a social media "crisis" before one occurs.

Posted May 23, 2018

Data Summit 2018 kicked off this week with a keynote by David Weinberger, senior researcher, Harvard's Berkman Center for Internet & Society, titled "Once We Know Everything … or Suppose AI is Right?"

Posted May 22, 2018

Two perspectives on becoming a data driven enterprise were discussed at Data Summit 2018 in presentations by Anne Buff, business solutions manager, SAS Best Practices, SAS Institute; and Lynda Partner, VP, Marketing & Analytics as a Service, Pythian.

Posted May 22, 2018

Machine learning is changing the way we interact with things and each other. As artificial intelligence gains steam, what we know about the world is changing.John Duprey, senior architect, Thomson Reuters Labs' Center for AI & Cognitive Computing, Thomson Reuters, presented his session, "Reuters News Tracer: The Journalist Bot in Training" on Tuesday, May 22, 2018 during Data Summit 2018. Duprey explained how machine learning and AI is transforming how news is being reported.

Posted May 22, 2018

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., is making updates to its data infrastructure portfolio, including new AI-enhanced data center management software and an expanded lineup of flash storage systems designed to reach a broader range of customers. According to the company, the new systems and AI operations software deliver the agile data infrastructure and intelligent operations customers need to accelerate data center modernization efforts.

Posted May 21, 2018

Neural networks and deep learning are frequently recognized as the key to futuristic innovations like facial recognition, with consumers paying up for the novelty of using their visage to unlock their phones, and police squads partnering with AI startups to catch criminals. But the use cases for neural nets extend well beyond those flashy scenarios, and innovations in hardware are enhancing accessibility, signaling that it's time for more companies to find appropriate business cases for their industry.

Posted May 21, 2018

Data science, the ability to sift through massive amounts of data to discover hidden patterns and predict future trends, requires an understanding of many different elements of data analysis. In a 3-hour pre-conference workshop at Data Summit 2018 in Boston, Joe Caserta, founder and president of Caserta, a data analytics consulting and implementation firm, provided a deep dive into the fundamentals of data exploration, mining, and preparation, and the application of the principles of statistical modeling and data visualization in real-world applications.

Posted May 21, 2018

Blockchain, the distributed ledger technology, was explored in a 3-hour Data Summit 2018 presentation led by Paul Tatro, who covered the wide range of blockchain topics including what it is, the differences between public and private blockchains, use cases, and the meaning of terms such as "smart contracts," "blocks," "nonces," "hashes," "oracles," and digital signatures.

Posted May 21, 2018

From recommendation systems to disease diagnosis, machine learning is revolutionizing the process of complex decision making by enabling the analysis of bigger, more complex datasets and the delivery of faster, more accurate results.During the first day of Data Summit, May, 21, 2018, Marina Johnson, assistant professor of analytics, information management/business analytics, Montclair State University and Drexel University, held a pre-conference workshop examining how to develop scalable, real-world machine learning pipelines and applications.

Posted May 21, 2018

Microsoft has acquired Semantic Machines Inc., a Berkeley, California-based company with an approach for building conversational AI.  It uses the power of machine learning to enable users to discover, access, and interact with information and services.

Posted May 21, 2018

Oracle has signed an agreement to acquire DataScience.com, whose platform centralizes data science tools, projects and infrastructure in a fully-governed workspace.

Posted May 17, 2018

With the proliferation of big data throughout enterprises, businesses need innovative ways to derive insights to propel business value. This is where knowledge graphs come in, a tool that can drive new marketing strategies to maintain existing customers and attract new ones.

Posted May 17, 2018

As the value and volume of data continues to rise, the need to effectively assess and communicate data-related risks has never been greater. Business executives need a focused set of metrics that enable fast and effective decisions. IT and security pros often lack the right metrics, information, and approach needed to embed themselves into business conversations and positively affect data security practices.

Posted May 16, 2018

Extending autonomous capabilities across its Cloud Platform, Oracle has announced the availability of Oracle Autonomous Analytics Cloud, Oracle Autonomous Integration Cloud, and Oracle Autonomous Visual Builder Cloud.

Posted May 16, 2018

Accenture has revealed its new "Technology Vision for Oracle" report, forecasting the five key technology trends that will drive Accenture and Oracle's collaboration in the enterprise over the next 3 years. Designed to highlight the strategic shifts companies must make to take advantage of the potential of the intelligent enterprise, the report looks at specific use cases and technologies that are actively reinventing businesses.

Posted May 16, 2018

With the E.U.'s General Data Protection Regulation (GDPR) set to go into effect in less than 2 weeks, new research shows U.S. companies are still unprepared.  The research garnered responses from U.S. companies with annual revenue greater than $10 million regarding their understanding of and preparedness for GDPR, uncovering two areas where companies are significantly exposed to legal risk by these new regulations. Penalties go into effect on May 25, 2018, and non-compliant organizations risk triggering fines up to 20 euros million or 4% of global revenue, whichever is higher.  

Posted May 15, 2018

Silicon Valley has achieved an almost mythical status in both modern American popular culture as well as the annals of world economic history. Located south of San Francisco, the name "Silicon Valley" was coined in the early 1970s due to the volume of silicon chip innovators and manufacturers in the area. Today, the valley is synonymous with technology innovation and venture capital: two mighty forces of change.

Posted May 11, 2018

Technology is constantly changing, and IT architects need to keep up with modern developments to ensure that their companies are achieving the best possible return on their IT investment. This can be achieved by architecting a solid IT infrastructure with modern components spanning the hardware, software, network resources, and services required for the operation and management of an enterprise IT environment.

Posted May 11, 2018

Fueled by the growing demand for data-driven insights, as well as the explosion of new data sources and formats, innovative big data technologies continue to expand. While the long-trusted RDBMS still reigns supreme in most organizations, the surging force of data from social media, mobile devices, IoT, and other sources, as well as the availability of additional options for data storage and processing, means that there is plenty of room for disruptive new approaches.

Posted May 11, 2018

When it comes to capturing and analyzing data, IT departments have more choices today than ever before. And choice is a good thing. However, in order to pick the right tool for the job, enterprises need to fully understand the business requirements as well as choices. DBTA recently held a webinar with Brian Bulkowski, CTO and founder of Aerospike, and Jean-Pierre Dijcks, master product manager, big data, Oracle, who discussed the key differences between Hadoop, NoSQL,  and RDBMS and how to choose between them.

Posted May 11, 2018

It's time to vote 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. Voting ends Friday, May 11, 2018, so be sure cast your ballot now for the candidates of your choice.

Posted May 08, 2018

To provide customers with the tools and insight to meet rapidly evolving business demands, Oracle NetSuite has introduced an intelligent cloud suite. By building capabilities based on artificial intelligence (AI) and machine learning (ML) within its cloud business management suite, Oracle says, NetSuite can deliver the insight, interaction and automation customers need to grow their businesses.

Posted May 07, 2018

As data from the Internet of Things is emerging and changing the data landscape as we know it, a new set of challenges are rising. IoT devices that generate megabytes or gigabytes of data per second are stunning organizations. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository.

Posted May 02, 2018

As we enter a new era of database technology with the introduction of Oracle's Autonomous Database Cloud, it is time for organizations to get up to speed in terms of what it enables for the business, and for DBAs, as well, to prepare for the changes to their roles.

Posted May 02, 2018

The impact of cognitive computing technologies—including artificial intelligence (AI) and machine learning (ML)—is increasingly being felt in data centers and database operations of all sizes, across all industries. Research shows that AI and related cognitive technologies are no longer just experiments conducted by computer or data scientists—they are part of a real-world technology wave that is already showing tangible business results.

Posted May 02, 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 April 25, 2018

Machine learning is the hottest trend right now in the big data space. Nearly half (48 percent) of the companies who say they have already benefited from machine learning cite increased profitability as the top benefit they have realized, according to a new study from SAP.

Posted April 25, 2018

Data preparation, or "data wrangling," has historically been the biggest bottleneck in any analytics process—taking up more than 80% of the time and resources in any data project. However, new self-service tools are evolving to create higher levels of analytics productivity for business users.

Posted April 23, 2018

Compuware released a new web interface and mainframe machine-learning tool intended to boost mainframe productivity. Compuware's latest release of ThruPut Manager, a web interface, helps provide mainframe staff with visually intuitive insight into how batch jobs are being initiated and executed, as well as the impact of those jobs on mainframe software licensing costs.

Posted April 23, 2018

DBAs can recover a database, tune SQL, and may even know how to write some PL/SQL when push comes to shove. And, yes, those are all great skills to have. But in 2018, DBAs need more, writes Matt Malcheski in a new IOUG SELECT article. Malcheski goes over the "hot topics," including blockchain, AI, and Internet of Things, and notes that DBAs of the future will need to understand not only the technical aspects of these and the other technologies but also must be able understand and add value to the functional data requirements necessary for all-encompassing solutions. "This is characterized in a data point from Gartner: By 2021, 40% of IT staff will be 'versatilists' holding multiple roles, most of which will be business rather than technology related."

Posted April 18, 2018

Presented once each year by three major Oracle users groups—Independent Oracle Users Group, Oracle Applications Users Group, and Quest International Users Group—COLLABORATE is one event focused solely on the spectrum of Oracle technologies and solutions that you can count on to get information from experts and fellow users about practical implications, real-world use cases, and how to benefit from new solutions and overcome difficulties you may be having.

Posted April 18, 2018

Special early bird registration pricing for Data Summit 2018 has been extended for 1 week, and will end Friday, April 27. The Data Summit conference is a unique world-class event that brings together IT practitioners and business stakeholders from top corporations, government agencies, and public institutions to learn about the leading technologies and strategies for succeeding in this increasingly data-driven world.

Posted April 17, 2018

The key to understanding AI's current and future impact is its transformation of business processes. A widespread misconception is that AI systems, including advanced robotics and digital bots, will gradually replace humans in one industry after another. Self-driving vehicles, for example, will one day replace taxi, delivery, and truck drivers. That may be true for certain jobs, but what we've found in our research is that, although AI can be deployed to automate certain functions, the technology's greater power is in complementing and augmenting human capabilities.

Posted April 13, 2018

Moving to automation means many decisions and modifications will occur without human involvement. Alterations are likely to occur that are not to the benefit of the end user (we will not get this 100% right in its nascence). Data "owners" will need very good information about what was adjusted, when it changed, and whether it was ultimately good for the user experience. The right tools will be needed as uptime, resource consumption/capacity, and relative health become basic "pay-to-play" propositions managed by automation. As end user experience continues to trump all other concerns in the application world, taking the end user vantage point will be central to monitoring autonomous changes.

Posted April 12, 2018

IBM has launched three new consulting services offerings, as well as an IBM Blockchain Platform Starter Plan, a low-cost plan to help clients, developers, and startups to develop, operate, and govern networks on the IBM Blockchain Platform.

Posted April 11, 2018

Startups with a mission to address an unanswered problem continue to emerge in the tech sector. These companies tap into new and still emerging technologies such as cloud, IoT, machine learning, containerization, AI, NoSQL, and blockchain to provide fresh solutions that simply were not possible before.

Posted April 11, 2018

Based on the history of AI, a term that has been around since 1956, a reasonable skeptic might wonder what is going to be different this time around.  But, given the recent accomplishments in analytics, visualization, and machine learning, AI does indeed have a promising future, according to Todd Sundsted, CTO of SumAll, who will present a talk at Data Summit 2018, titled "Past, Present & Future: What Lies Ahead for AI."

Posted April 10, 2018

IBM has announced a series of new, industry-specific, machine-readable data sets designed to expedite AI training workflows. The first kits will serve the travel, transportation and food industries, with more to follow. With expected availability in Q2 2018, the kits will initially serve the travel and transportation and food industries with Watson Data Kits for travel points of interest and food menus, respectively.

Posted April 09, 2018

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