Imagine a searchable data management system that would enable you to review crowdsourced, categorized and classified data. Consider that this system would apply to all types of data — structured and unstructured — and become more robust as more users analyze it.
Big data and design thinking share some common core principles for creating highly connected, meaningful business and customer user experiences. See why organizations worldwide are realizing the magic of combining big data with design thinking to generate value for powerful business use cases.
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.
Advances in tools and the capability to work with cloud-based data sets are dramatically changing the nature of data science workloads. Take a look at one data scientist’s quest to learn more about performing data science analysis in the cloud.
A recent stop on the IBM outthink tour 2016 punctuated the evolution of cognitive learning systems and their implications for marketing and the delivery of customer experiences that foster retention and loyalty. See how cognitive capabilities are being incorporated into the fabric of everyday job
Now that the General Data Protection Regulation (GDPR) has been published, organizations that operate in the European Union (EU) market and process the personal data of EU data subjects need to understand its implications. Take a look at what you need to know, and the ramifications from
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
Deriving actionable insight from data and analytics is shifting to unified, cloud-based platforms that can be used by a variety of analysis personas. Take a look at a national retail chain scenario demonstrating how a comprehensive portfolio of end-to-end analytics in the cloud can provide the
Whether organizations want to extract customer data beyond names and addresses from unstructured data sources; pull specific dates, times or monetary amounts; predict trends from sentiment data; or engage in many other uses, text analytics is the way to go. Learn the details of text analytics, and
In the past few years, we’ve seen an explosion in the number and variety of organizations that are adopting big data technologies such as Hadoop and Spark and the recent trend to leverage data services in the cloud. How are enterprises coping?
This short series of blogs for the business user is designed to turn key technologies into easy to understand concepts to help explain why they are needed in a modern digital enterprise. When looking at consumer and business transactions in today’s online world, many people may ask, “Why big data
If any one industry can claim digital transformation as a most immediate imperative, then the media and entertainment industry rises above the rest. Not only do organizations need to provide streaming content, but they also need to provide content on a diverse range of platforms. And to be
Exploiting external, cloud-based data can bolster competitive advantage for cognitive businesses, but combining it with internal, business-outcome data brings challenges. Consider several actions that organizations can take using cloud data services to capitalize on the value of external data.
An important ingredient for any successful business is its staff. And yet recent research shows that human resources ranks lowest among front office operations when it comes to using predictive analytics, particularly to recruit and retain the right professionals for the right positions. But that
Smart predictions can spell the difference between whether your company succeeds wildly or falls by the wayside. Get the details on four strategic pillars for smart, proactive business through predictive analytics deployment in a series of new blog perspectives.