Artificial Intelligence Articles
Instana, a provider of APM solutions for monitoring dynamic containerized microservice applications, has announced functional enhancements around code-level visibility and monitoring to help make it faster and easier for DevOps to monitor microservice applications. The enhancements include automatic instrumentation for applications written in PHP, adding to Instana's leading no-configuration, no-restart instrumentation support for Java, .NET, Ruby, Scala, Go, NodeJS and Crystal.
Posted June 18, 2018
At DataWorks Summit, its conference in San Jose this week, Hortonworks is unveiling a major new release of the Hortonworks Data Platform (HDP) as well as expanded partnerships with Microsoft, Google, and IBM. A priority for Hortonworks with HDP 3.0 is to make hybrid cloud deployments easier for customers, said Scott Clinton, vice president of product marketing at Hortonworks, who spoke to DBTA before the company's announcement.
Posted June 18, 2018
Innovative vendors are helping to point the way forward with technologies and services to take advantage of the wealth of data that is pouring into companies. This sixth DBTA 100 list spans a wide variety of companies that are each addressing the evolving demands for hardware, software, and services. Some are long-standing companies with well-established offerings that have evolved over time, while others are much newer to the data scene.
Posted June 14, 2018
Tableau Software has acquired Empirical Systems, an AI startup that originated at the MIT Probabilistic Computing Project. Based in Cambridge, Mass., Empirical Systems has a team of engineers and data science professionals who created an analysis platform that helps customers to automatically analyze and understand their structured data. Empirical was co-founded by CEO Richard Tibbetts, who previously co-founded StreamBase (acquired by TIBCO); engineering lead Madeleine Thompson, formerly of Google; and scientific advisor Vikash Mansinghka, who leads the MIT Probabilistic Computing Project.
Posted June 13, 2018
Oracle has announced the availability of its next-generation Oracle Cloud Platform services featuring built-in autonomous capabilities, including Oracle Mobile Cloud Enterprise, Oracle Data Integration Platform Cloud, and Oracle API Platform Cloud. With embedded artificial intelligence (AI) and machine learning that enable autonomous capabilities in the Platform Cloud services, Oracle says it is helping organizations to more easily develop new user experiences with chatbot and voice capabilities, to enable business users to perform intelligent data integration tasks, and to expose business logic and data via robust API design/management.
Posted June 13, 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 June 08, 2018
Alteryx has announced the general availability of the newest version of the Alteryx platform (2018.2). The release delivers new features across the platform to improve the analytic experience for IT, business analysts, and data scientists, improving how they collaborate and scale analytics across the organization, and also how they find and connect to data.
Posted June 06, 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 June 06, 2018
Cloudera, Inc. is introducing new innovations to help businesses operationalize data insights faster by making data scientists and data engineers more productive. New machine learning capabilities make it easier for data scientists to quickly train and deploy models with higher confidence and lower risk.
Posted June 05, 2018
Databricks, founded by the original creators of Apache Spark, has launched new capabilities to lower the barrier for enterprises to innovate with AI. The new capabilities include MLflow for developing an end-to-end machine learning workflow; Databricks Runtime for ML to simplify distributed machine learning; and Databricks Delta for data reliability and performance at scale.
Posted June 05, 2018
IBM and partners launched a "Call for Code" initiative, an ambitious effort to bring startup, academic, and enterprise developers together to solve one of the most pressing societal issues of our time: preventing, responding to, and recovering from natural disasters.
Posted June 04, 2018
Data Summit 2018 was recently held in Boston. Big data technologies, AI, analytics, cloud, and software licensing best practices in a hybrid world were among the key areas considered during three days of thought-provoking presentations, keynotes, panel discussions, and hands-on workshops.
Posted June 04, 2018
BlueData, provider of a big-data-as-a-service (BDaaS) software platform, has launched a new solution to accelerate deployment of artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications in the enterprise. The BlueData AI/ML Accelerator solution includes software and professional services to deploy containerized multi-node sandbox environments for exploratory use cases with TensorFlow and other ML/DL tools.
Posted May 31, 2018
Looker, a data platform provider, is releasing new tools and integrations to optimize data science workflows. Looker is improving its governed data workflow with an SDK for R and connections for Python, as well as streamed and merged results, Google TensorFlow integrations, and clean, visual recommendations for users.
Posted May 30, 2018
At GTC Taiwan today NVIDIA introduced HGX-2, a unified computing platform for both artificial intelligence and high performance computing. According to NVIDIA, the HGX-2 cloud server platform provides unique flexibility to support the future of computing, enabling high-precision calculations using FP64 and FP32 for scientific computing and simulations, while also providing FP16 and Int8 for AI training and inference. The result is a level of versatility that meets the requirements of the growing number of applications that combine HPC with AI, according to the company.
Posted May 30, 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.
Posted May 24, 2018
Today, it is not enough to understand what happened, organizations want to have a view of what is happening now so they can impact the future. At Data Summit, Dan Potter, vice president of product management and marketing, Attunity, looked at what it takes to become a real time enterprise and the role of change data capture in enabling the transformation.
Posted May 24, 2018
Today, data is increasingly seen as the fuel of the business, rather than its byproduct. As a result, the old adage "garbage in, garbage out" couldn't ring truer when it comes to maximizing the value of machine learning in the enterprise, according to Steve Zisk, senior product marketing manager of RedPoint Global, which provides a customer data platform and engagement hub.
Posted May 24, 2018
Chris Reuter, North America data warehousing sales leader, IBM, presented a keynote at Data Summit 2018 on the key trends in IT today and what organizations must do to advance their organizations.
Posted May 24, 2018
For many businesses, data and artificial intelligence pose opportunities but also risk. Hadley Reynolds, co-founder of the Cognitive Computing Consortium, presented a keynote looking at the ramifications of AI and cognitive computing and showcased an open reference framework jointly developed by the consortium with Babson College's technology management program.
Posted May 24, 2018
Data Summit attendees learned about cognitive computing and how much AI will disrupt the big data space, why blockchain is the next big thing, the importance of GDPR, and more. During the closing keynote for Data Summit 2018, Joe Caserta, founder and president of Caserta, a data analytics consulting and implementation firm, looked toward the future in his presentation titled, "What Does the Data Tell Us?"
Posted May 24, 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 23, 2018
SAP is boosting its S/4 HANA platform with a round of updates that will unlock new ERP scenarios and strengthen AI. With the 1805 release of SAP S/4HANA Cloud SAP is unlocking 12 new AI-powered scenarios — nine machine learning scenarios and three SAP CoPilot-powered conversational UI scenarios.
Posted May 23, 2018
Data intelligence about people, places and things, along with the connection between physical and digital addresses has a serious impact on understanding customers.
Posted May 23, 2018
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
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
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
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