IBM has introduced Watson into the online education market in a deal with Pearson, while others are using Watson Virtual Agent to streamline business operations.
IBM Watson Health and Quest Diagnostics have partnered to deliver IBM Watson Genomics, the first commercial offering from Watson for Genomics.
During Microsoft's Machine Learning and Data Science Summit at the Ignite conference in September, eWEEK sat down with Herain Oberoi, senior director of product management for cloud and enterprise, to discuss how data-driven intelligence is now the key strategic asset of business. "Everything that's happening in the world around us—every purchase, upload, shipment, tweet, keystroke, sensor reading and customer interaction—is producing incredibly rich data that can help us create new experiences, new efficiencies, new business models and even new inventions," he said. Using this data can be a differentiator for businesses. For example, IDC estimates companies that are leaders in using data assets to their advantage will capture $1.6 trillion more in business value than those that lag behind. Cortana Intelligence is Microsoft's family of big data, advanced analytics and artificial intelligence (AI) platform and solutions, Oberoi said. This slide show presents 10 examples of companies using Microsoft technology, including Cortana Intelligence, to power their big data, advanced analytics and AI environments, as well as five solution scenarios in which businesses can capitalize on advanced analytics.
IBM announced a new $200 million investment in its Watson internet of things (Watson IoT) headquarters in Munich, along with new offerings.
The jointly run Korean research center will focus on next-generation DRAM running SAP HANA databases for faster data processing and better analysis of data.
IBM brings a new Watson-powered, cloud-based big data analytics solution to the market.
One GOP strategist says its analysts have about 400 data points stored for the average American voter and are querying the database constantly for insight.
Cloud@Customer introduced at Open World uses the exact same software as is running in the Oracle public cloud. Oracle provides all the hardware and the updates.
NEWS ANALYSIS: Oracle wants to become what IBM, the original Hewlett-Packard and Dell EMC once aspired to be: the true one-stop shop for all of your enterprise IT needs.
Among the new offerings is Oracle Container Cloud Service, which provides enterprises with a Docker-compatible way to deploy application stacks.
Cloud software and platforms as services rose a robust 77 percent year over year, but hardware sales were down 19 percent and licensing was off 11 percent.
A recent Honeywell study found that manufacturers are gaining key benefits from using big data analytics.
NuoDB announced the general availability of NuoDB 2.5, which provides new SQL enhancements and support for migrating off of legacy databases.
If businesses want to analyze big data for insights that will move the needle, they need data that is clean, organized, detailed and easily understood. The diversity and amount of data available today is extremely large, and organizations must deal with data sets that are far from ideal. Armed with the right data preparation strategy, raw data can be fixed and shaped. There is a laundry list of use cases for data preparation—potentially as large as the candidate data sources multiplied by the ways in which the data will be analyzed. For example, an organization may want to look at purchasing patterns over time, break customers down into demographic groupings and correlate shopping activity at brick-and-mortar locations with weather information. Data prep is not just about de-duplicating and removing corrupted or dirty data; it's about reshaping that data to reveal insights. It’s more than just an initial step companies must take before analyzing data. Data prep may take place at any point in a data discovery process. Using input from Stefan Groschupf, CEO at big data analytics provider Datameer, eWEEK lists key considerations for taking the data you have and changing it into the data you need.
New technology is bringing disruptive change at an unprecedented rate so BMC's CEO has some advice for companies looking to harness technological change.