So you want to enter the data science field, or maybe you are already a data scientist looking to expand your horizons. Several routes into the profession can provide the core skills, knowledge and best practices necessary to become a developer in the era of cognitive computing. And events such as
Advanced predictive analytics requires data preparation strategies that can transform the data, enriching it to make it suitable for processing. Indeed, your choice of data preparation strategy can help you boost the accuracy of the outcomes you achieve.
Apache Spark is exploding as a worldwide phenomenon since its origin in the Silicon Valley area of California. Find out just who widespread its adoption has grown in a survey of global examples, a wide array of community participations and upcoming event opportunities.
Data shows that organizations spanning many industries can transform business and enhance growth by using cloud-based delivery models for applications and streaming analytics. But not every business scenario is well suited for services through the cloud. Take a look at five signs that an
Find out how Day 3 of the conference offered insight into how data scientists have benefited from the latest approaches to web-scale analytics, including open sourcing of the System ML machine learning library to help the Spark community.
The idea that data-at-rest (historical) and data-in-motion (immediate) are mutually exclusive no longer applies, thanks to a new toolset that handles both. Discover how organizations can have it all: the ability to stream data in real time as well as process historical data to highlight patterns in
As a strategic sponsor, IBM was represented in full force at Strata + Hadoop World 2015 in New York, New York. Day one proved to be a buzz of activity that included IBM data science experts getting a hands-on lab course on practical data science underway, IBM spokespeople discussing offerings and
For businesses, there are multiple ways to think about the future; no two companies take the same view when trying to anticipate what’s coming next. However, analytics can accommodate all these unique visions of the future by helping organizations understand their data and glean insight from it.
What will you build for the Internet of Things? In this IBM Think Academy video, hear from IBM Fellow John Cohn how developing for the future of Internet of Things requires developers to re-learn the basics.
Our mobile devices continue to enhance their utility and conveniences through always-connected personal computing contexts. But what if the applications we rely on for communications, gathering information and scheduling our daily lives could do a lot more by providing information we can
The insurance industry is poised to leverage business intelligence from Internet of Things data to offer policyholders value-added services and process optimization. But these opportunities require getting beyond mere point solutions and deploying a comprehensive, scalable and flexible Internet of
Analytic insights are no longer just for data analysts and technologists. A movement to make these insights available to anyone using the latest design concepts is helping to create simpler, more intuitive user experiences.
Learn how your feedback in hands-on sessions at Insight 2015 will help IBM create products designed to meet your specific needs while making analytics available to everyone in business. It’s all part of IBM Design Thinking, which focuses on users first.
How can the Internet of Things benefit industries and endeavors of all kinds? Here are some of the ways: bicycle racing, consumer appliances, drought relief...the list is long and still growing. Discover even more uses and see how the IoT's effects are reverberating across businesses and changing