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  • 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.

  • IBM and the United States Tennis Association (USTA) have partnered to enhance the US Open event fan experience using cognitive computing, cloud and analytics.

  • IBM has launched a new business unit, which it calls the Industry Platforms unit, to focus on delivering blockchain technology to customers—a growing segment.

  • The company is making it easier for developers to create analytics apps and is growing cloud platform support and data access in its Vertica software.

  • From broad population health management to highly individualized clinical decision support, advanced approaches to data analytics are changing the way providers interact with data and patients—even what it means to be a doctor. Cognitive computing technologies mimic the way the human brain draws connections between seemingly unrelated data. Powered with these technologies, intelligent machines can understand information in context and even have the ability to reason and learn. Cognitive computing encompasses various forms of artificial intelligence (AI), including machine learning, reasoning, natural language processing, speech and vision, human-computer interaction, dialog and narrative generation, and more. With cognitive computing, providers can uncover patterns in health data that previously were hidden, enabling them to do more than was possible before. Based on interviews with executives at Apixio, the data science company for health care, this eWEEK slide show identifies five ways cognitive computing technology is impacting health care.

  • A Forrester Research report places MongoDB and MapR Technologies among the leaders in the NoSQL database ranks.

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