by Angela Guess A recent press release states, ?Infosys, a global leader in consulting, technology and next-generation services, today announced the launch of the Infosys Business Assurance Store, a unique knowledge-based solution with a repository of more than 1 million test assets across various industry domains, technologies, products and packages. This solution enables clients to [?]
AI at the Edge from DATAVERSITY To view the On Demand recording from this presentation, click HERE>> About the Webinar The Fog or Edge Computing model complements Cloud Computing with small, typically sensor-enabled and IOT connected devices that process distributed data at its source. As this model matures, we see an uptake on a 3-tier [?]
To view just the slides from this presentation, click HERE>> About the Webinar The Fog or Edge Computing model complements Cloud Computing with small, typically sensor-enabled and IOT connected devices that process distributed data at its source. As this model matures, we see an uptake on a 3-tier architecture with Intelligent Gateways to aggregate sensor [?]
The evolution of analytics and machine learning are shaping the industry's future, mitigating risk, improving business, and helping develop types of policies that individuals and businesses need, even before they know they do.
Big data is playing key role in the translation industry. The volume of global online business data doubles every 1.2 years, according to W.P. Carey School of Business. There will be 450 billion business transactions taking place per day by 2020, according to IDC projects. Approximately 2.7 zetabytes of data... Read more »
Artificial Intelligence (AI) and Machine Learning are projected to become mainstream technologies in the coming years, and are clearly already having a significant impact across many industries. How exactly is this happening? How are Data Scientists using their skills to develop better Machine Learning algorithms? Where are these innovative technologies going in the future? With [?]
Statistical computing and graphing is an exciting field to work on. Companies around the world work on approx 2.5 Quintillion Bytes of data everyday which empathizes on the need of people with specialization in programming languages and deep analytical skills. Plethora of choices exists in the world of programming languages.... Read more »
by Angela Guess A new press release states, ?WHISHWORKS, a global IT services and consulting company specialising in systems integration and Big Data analytics, is pleased to announce the successful implementation and deployment of MuleSoft Anypoint Platform at SUEZ recycling and recovery UK (SUEZ). With the deployment of Anypoint Platform, SUEZ is able to accelerate [?]
Click to learn more about author Chirag Shivalker. Customers are engaging with businesses through ever increasing touchpoints including websites, social media, in-store, mobile, and tablets. It?s really ironic that irrespective of how they engage with your company, they expect customized, personalized and consistent experience every time. These expectations have proved lethal for enterprises to fulfill, [?]
by Angela Guess A new press release states, ?NewVantage Partners, strategic advisors in Big Data and business innovation to Fortune 1000 businesses, has released the results of its 2018 6th Annual Big Data Executive Survey, entitled ?Data and Innovation: How Big Data and AI are Driving Business Innovation.? The 2018 Big Data Executive Survey reports [?]
by Angela Guess A recent press release states, ?Talend, a global leader in cloud and big data integration solutions, today unveiled a new joint offering with its partners at Cloudera, Qlik, and Keyrus, called Customer Experience Excellence (C2X), a unified, 360-degree-customer-view solution that enables real-time personalization of each customer encounter. C2X combines historical, real-time and [?]
Click to learn more about author David Anderson. In a world ruled supreme by data, it has never been more important to find efficient ways of mining it for valuable information. Data Mining is the process in which businesses sift through data in order to find relevant information. Its primary goal is to predict future [?]
The amount of new technologies in 2017 has been overwhelming: The cloud was adopted faster than analysts projected and brought several new tools with it; AI was introduced into just about all areas of our lives; IoT and edge computing emerged; and a slew of cloud-native technologies came into fruition, such as Kubernetes, serverless, and cloud databases, to name a few. I covered some of these a year ago in my 2017 predictions and it?s now time to analyze the trends and anticipate what will likely happen in the tech arena next year.
by Angela Guess A recent press release reports, ?SAP SE today announced innovations in the enterprise information management (EIM) portfolio to help customers better manage and use their data for digital transformation, cloud, Big Data, the Internet of Things (IoT), and data protection and privacy. These innovations help simplify data management and include broader support [?]
The unprecedented rise in volume and variety of business data in the recent years has necessitated better Data Management practices across all business sectors. Data Management trends in 2018 will continue to revolve around Data Governance, which ensures enhanced Data Quality leading to improved decision making. As streaming data continues to flow from diverse data [?]
Click to learn more about video blogger Andrew Brust. The Big Data & Brews video blog series continues with host Andrew Brust, Senior Director of Market Strategy and Intelligence at Datameer. The series touches on hot topics within the business of Big Data, Analytics, Internet of Things, Machine Learning, Cloud Computing, Modern BI, NoSQL and Next [?]
Governing Big Data, Smart Data, Data Lakes, and the Internet of Things from DATAVERSITY To view the On Demand recording from this presentation, click HERE>> About the Webinar Big Data and Smart Data are key focuses in an organization?s attempt to make the best possible use of all available data sources. The Internet of Things [?]
To view just the slides from this presentation, click HERE>> About the Webinar Big Data and Smart Data are key focuses in an organization?s attempt to make the best possible use of all available data sources. The Internet of Things and Data Lakes are being used to collect and report on a variety of new [?]
The Top 20 Posts of the year are here! As one year comes to an end and another about to begin, it?s a tradition here at DATAVERSITY to take a moment to pause and review the content published over the year by our writers and by the Industry Experts who contribute their thoughts and experiences. [?]
The explosion of big data in the health care industry is both a boon and concern. The race to quickly recover actionable insights from such data can lead to innovation and pitfalls, yet big data has the potential to reap rewards in assisting patients and improve operational and clinical processes.... Read more »
by Angela Guess A recent press release states, ?The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, today announced Apache® Hadoop® v3.0.0, the latest version of the Open Source software framework for reliable, scalable, distributed computing. Over the past decade, Apache Hadoop has become [?]
Big Data has been described by some Data Management pundits (with a bit of a snicker) as ?huge, overwhelming, and uncontrollable amounts of information.? In 1663, John Graunt dealt with ?overwhelming amounts of information? as well, while he studied the bubonic plague, which was currently ravaging Europe. Graunt used statistics and is credited with being [?]
I read David Linthicum?s post ?Data integration is the one thing the cloud makes worse? with great interest. A huge reason that I decided my next job would be for a search company was because of this very problem. (That?s why I now work for LucidWorks, which produces Solr- and Spark-based search tools.) While working with clients, I realized that with big data and the cloud a tough problem, finding things was becoming worse. I had seen the upcoming meltdown as the use of Hadoop formed yet another data silo and as a result produced few actual insights.
by Angela Guess A recent article written by Anant Chintamaneni, VP of Products at BlueData, states, ?Here at BlueData, we?ve been leading the charge on deploying and running Big Data applications like Hadoop and Spark on containers: we first announced our support for Docker more than two years ago. At that time, there was no [?]
Recently, I visited a few conferences and I noticed a somewhat hidden theme. While a lot of attention was being paid to moving to a (hybrid) cloud-based architecture and what you need for that (such as cloud management platforms), a few presentations showed an interesting overall development that everybody acknowledges but that does not get a lot of close attention: the enormous growth of the amount of digital data stored in the world.