IBM has teamed with Purple Forge on a Watson-based app, initially piloted in Surrey, British Columbia, that will help cities better serve citizens.
Users now can use SAP applications alongside Oracle Database In-Memory to perform real-time data analytics to go with real-time transaction processing.
During the last few years, large enterprises' use of NoSQL databases has accelerated because they handle mission-critical applications well. A NoSQL database provides a mechanism for storage and retrieval of data that is modeled differently from the tabular scheme used in relational databases, such as SQL. Eight to 10 years ago, when NoSQL pioneers first deployed them, their use was limited to Internet-age companies such as Google, Amazon, Facebook and LinkedIn. Now, a variety of enterprises are adopting this database for customer-facing, revenue-driving applications that serve hundreds of millions of consumers. The move is driven by the proliferation of mobile devices, the Internet of things and cloud infrastructure. These major industry trends are raising scalability and performance requirements that decades-old relational database technology was never designed to address. Thus, enterprises are turning to NoSQL to overcome these limitations. This eWEEK slide show explores the top 10 enterprise NoSQL use cases in the market, according to Forrester Research analysts and Bob Wiederhold, CEO of NoSQL vendor Couchbase.
Welltok, which uses IBM's Watson cognitive computing technology for health care apps, teamed with Healthy Dining on a nutrition and menu app.
Since IBM opened Watson to the world via the Watson Developer Cloud, tens of thousands of enterprising tech enthusiasts have begun creating apps that are powering the cognitive computing era. IBM has made several new cognitive services commercially available to its developer community and recently announced the general availability of three additional Watson APIs—IBM Watson Language Translation, IBM Speech to Text and IBM Text to Speech. These services will advance the way cognitive apps understand the spoken and written word in multiple languages and allow these systems to communicate in more natural ways. Most notably, the Speech to Text service can be applied beyond typical human-to-machine scenarios to transcribe complex human-to-human communication, opening up more opportunities to find valuable insights hidden in conversational interactions. Plus, the services can be used on any REST-compatible platform. The speech and language services are part of a portfolio of more than 20 Watson services that clients, developers, partners, students and entrepreneurs can access. This eWEEK slide show takes a look at the new IBM Watson services for building a new class of cognitive apps.
IBM is teaming up with regional development company Mubadala to bring its Watson cognitive computing technology to the Middle East and North Africa.
The Ovum report indicates that the overall market for information management software is expanding at a significant CAGR of 11 percent.
Read data in, write data out. In its purest form, this is what computers accomplish. Building a high-performance data processing system requires accounting for how much data must move, where it must move and the computational tasks needed. Meanwhile, our appetite for, and consumption of, data continues to increase, with seemingly no end in sight. However, the trick is to establish the size and heft of your data and focus on its flow. Capacity planning is the key to figuring out how much memory and storage you need, rather than frantically trying to fix problems as they arise. Identifying and correcting bottlenecks in the data flow will help you build a low-latency system that scales over time. Based on conversations with Eric Frenkiel, co-founder and CEO at distributed in-memory database provider MemSQL, this slide show offers guidelines on how database administrators can build more efficient databases that keep up with the ever-growing amount of data their companies store and process.
An Xplenty survey shows that about one-third of BI professionals spend between 50 percent and 90 percent of their time cleaning data so it can be analyzed.
Commerce Cloud becomes a center point of the Oracle Customer Experience app portfolio that runs on -- you guessed it -- the Oracle Public Cloud.
Toad lineup now offers support for SAP's HANA in-memory database, as well as improved capabilities for IBM DB2 and Hadoop.
Company's fiscal fourth-quarter profits fell to $2.78 billion from $3.6 billion in the same period a year ago; currency exchange cited as part of the problem.
Datameer, a self-service big data insights platform, announced data governance features for Hadoop analytics so users don't have to choose between self-service big data analytics and a governable big data architecture. As big data moves toward greater mainstream adoption, its compliance with long-standing enterprise standards and industry regulations is increasingly important. Hadoop, the dominant big data technology, does not natively offer data governance and security features often associated with traditional business intelligence. Analysts and administrators need an easier way to navigate data pipelines that multiple departments and participants have developed and that involve multiple data sources—many of them sensitive data sets, such as personally identifiable information (PII), Payment Card Industry (PCI) data and protected health information (PHI)—or require compliance with regulations such as the Basel international banking regulations. This eWEEK slide show illustrates how Datameer's governance functionalities address one or more of its views on five pillars of strong data governance, enabling businesses to democratize data access with confidence.
More partners means more tools for customers to use to develop data-driven applications based on the analytics service, Google says.
MapR Technologies introduced version 5.0 of its Hadoop distribution at the Hadoop Summit 2015.