The dawn of the cognitive era is upon us, and many organizations today have the data and analytics capabilities to begin their cognitive journeys. Take a look at recent survey results available in the seventh annual IBM Institute for Business Value analytics research report.
Data is widely seen as the new source of competitive advantage, driving smarter decisions and helping enterprises outthink their rivals. But opportunities are often missed. Getting the data needed from multiple underlying systems can take far too long for application developers, business analysts
Volumes of data generated from a variety of sources can be a challenge to wrangle. Take a look at the advanced Design Data Flow beta capability of IBM Bluemix Data Connect that enables consumption of large data volumes from disparate sources, which can then be curated for deriving insights and
Many of us might be surprised to learn that some of the most familiar brand names around started off with other names. IBM recently renamed IBM DataWorks—its flagship, self-service data preparation offering—to IBM Bluemix Data Connect. Get a glimpse of it in this brief overview, and discover how
No letup in cyber crime can be achieved without a concerted effort by everyone. Hear what cybersecurity experts have to say about the collaborative approach to fighting cyber crime in a recent Analtyics Brief.
Data science seems to be experiencing a renaissance when it comes to advanced open source tools. Get a glimpse into creative application development with IPython Notebooks, Jupyter Notebooks, Apache Spark, the PixieDust open source library and more at IBM Insight at World of Watson 2016.
IBM Insight at World of Watson 2016, 24–27 October 2016, at Mandalay Bay in Las Vegas, Nevada, is the only place to be for people who work with data. Take a look at this list of top-ten reasons you wont’ want to miss out on one of the most intriguing and innovative events of the year.
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.
Unstructured information continues to grow as never before, with a preponderance of it being stored and managed by large enterprises. Much of this data is not really well understood, and its management and governance remain a formidable challenge. See how creating trusted and collaborative
Despite big data’s hype, a significant number of organizations are still in a holding pattern—either locked in planning, hesitant to get started or wanting to avoid Apache Hadoop and Apache Spark projects. Complexity and a shortage of skills can exacerbate the situation. Increasingly, organizations
The story is familiar. Technology innovation develops at a rapid clip, but agile threat actors seem to never be far behind. Hear what two cybersecurity experts have to say about minimizing cyber crime through artificial intelligence, cognitive computing and connected Internet of Things devices.
Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.