In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big
Now that we’re into the swing of 2017, the time is ripe for the first CrowdChat of 2017 to explore the goals, challenges and strategies that CDOs and CIOs are focused on for their organizations. Get involved and share your thoughts in this kick-off IMB Big Data CrowdChat.
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say
Ever hear of the Big Data Dudes? If not, crawl out from under that rock and see what these intrepid big data and analytics heroes are up to in their latest analytics blockbuster, "Big Data Dudes and the Lost in Las Vegas Mystery."
The manufacturing industry finds itself embroiled in major changes these days, and analytics, cloud-based technologies, the Internet of Things and volumes of data are fueling its metamorphosis. See how manufacturing companies are shifting resources toward value-add processes such as
Holiday operations can be quite demanding for any organization, but if you operate from the North Pole and work against the clock all year to meet your late December deadline, then you need big data and analytics. Hear what big data and advanced analytics expert Tripp Braden had to say about this
To serve citizens effectively and efficiently, public entities can draw from the private sector’s 360-degree view of the customer and apply analytics, big data, Hadoop, machine learning and Spark to create a single or 360-degree view of the citizen. See how this methodology can empower public
The concept of big data fabric represents a fundamental change in how businesses approach data storage, fast data analytics, and streaming data to make it much easier, faster, and simpler to retrieve actionable information and increase the value that you can get from customer data.
Emerging technologies—3D printing, cloud computing, the Internet of Things, mobile computing, sensors, wearable devices and the like—are transforming the ways in which modern organizations manage and use data. But much of that data remains unused. Successfully capitalizing on information
Cognitive technologies such as advanced analytics and artificial intelligence are emerging as vital tools for achieving digital transformation outcomes. Learn more about the role of cognitive technologies from early adopters in the recent IBM Cognitive Advantage report and how they can be used to
Many forward-thinking organizations want to investigate how big data analytics helps them outthink and outperform the competition. However, many also are challenged with finding the right talent to run the operations, keep the data secure and figure out how to leverage the myriad tools at their
Organizations looking to transform their operations can turn to data science for an approach that offers the ability to predict events and behavior, prescribe actions, derive insights and make informed decisions. Learn more about how you can tap into the power of data science through predictive
One of the chief data officer’s primary responsibilities is to support the company’s strategy for monetization. Learn how investing in essential technologies can help your team create a data strategy that aligns with your organization’s monetization strategy to empower the business as a whole.
We’re all aware of how data streams at us from anywhere and everywhere, and all the implications that continuum entails. But when attempting to derive value from all that data—the data we can access as well as the data we don’t have access to—CIOs need an innovative advantage to help their