The future of cognitive computing is bright and Chief Data Officers have the chance to lead the way for their organizations. Not just a science-fiction dream, machines that are experts, expressive, educated, and evolving have the potential to create a stunning reality by driving meaningful market
What five ongoing challenges often face companies who are planning to move data to the cloud? Learn how to rescue your data while increasing efficiency, reducing costs, meeting regulations and reducing risks.
Do you want to win the race to insight and beat your competition? If so, it’s time to rev up your analytics strategy. Explore how analytics platforms fueled by trusted information, designed for hybrid environments, and built on open technology can put you in the winner’s circle.
Attend the IBM Smarter Risk Summit NYC at the New York Stock Exchange on February 9, 2016. Risk management experts, bankers and senior executives in financial markets will have the opportunity to hear directly from, and network with, industry leaders. The agenda includes hot and emerging topics in
As business operations move increasingly to the cloud, the security of cloud-based data is becoming a key global business concern. IBM Performance Management on Cloud solutions elevate security as a critical advantage of their integrated, streamlined service.
Are you stuck in a loop maintaining applications that aren’t so useful anymore? Retiring legacy applications frees up valuable time, budget and resources for higher value initiatives—giving you an advantage over the competition.
With today’s sophisticated, connected customer, the traditional 360-degree view is not sufficient, so businesses are focusing on improving customer experience.
The key to enriching customer experience is an enhanced 360-degree view of the customer, which understands everything about your most
October 2014, Forrester Consulting worked with IBM on a commissioned study to analyze the total economic impact that IBM’s Information Management solutions have on three specific big data use cases to help its customers solve important business problems.
Data is growing at an accelerated pace and users are demanding better access to data, but business users grab what’s available, not what’s best.
Learn more about data refinement and evolve the way the world works with data.
This infographic touches on five critical steps that will help customers streamline their application infrastructure, reduce infrastructure costs and transform enterprise data into a trusted, high-value resource by successfully consolidating and retiring their applications.
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