The transformation of the streaming analytics market demonstrates how business process automation is being driven by innovative open source projects and an ever-increasing world of sensor-derived data. See how IBM fared among 14 commercial providers of streaming analytics in a recent Bloor Market
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
IBM test data management (TDM) services are designed to satisfy the demands of enterprises trying to take advantage of test data and environment management solutions for complex IT deployments. TDM services cater to test data discovery, subset production, masking, test data refresh, automation of
Are you making the most of your enterprise content? Leverage the scalability and cost-effectiveness of the cloud and customize the user experience, enabling business users to work with content anywhere on devices of their choice.
Analytics enables banks to comply with regulations and reduce the risk of fraudulent practices in four major areas. These innovation-driving areas include identifying suspicious transactions, staying within the law to uncover predatory lending practices, defending against online threats and
To drive coordinated planning across diverse business functions, and deliver huge value to planners and decision-makers, the most efficient approach is to use common decision optimization tools that address business and process specifics.
Now introducing the “Insight Ops” model. This new model will embrace and enable an agile environment for discovery and exploration and manage the transition necessary to deploy the insight to make it actionable.
Ubiquitous data is so easily generated, and for that reason many enterprises today are exceedingly challenged to handle it all successfully. Take a look at a comprehensive information lifecycle governance solution that can help prevent enterprises from becoming submerged in their own sea of data.
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.
Cloud computing has been around for quite a while, and today it is characterized as a collaborative, secure and cost-effective platform largely fueled by Internet-based ecommerce. And while the analog processing of paper-based information may not yet be a thing of the past, see why cloud-based
Does your company still use paper-based processes? Are there inefficiencies in this process? It's time to rethink your digital approach to lower costs and improve engagement. It's time to drive forward to the cloud.
Avoid the productivity drain and customer frustration caused by content fragmentation. Keep the courtship period with customers alive by ensuring employees have unfettered access to enterprise content that can keep the customer experience harmonious. See how in a new IBM Enterprise Content
As the data used by an enterprise grows in size, variety and importance, it is no longer acceptable that the gathering and maintenance of metadata remains an under-funded and neglected afterthought for data-driven organizations. Metadata management needs to become a key focus of an organization's
Environmentally friendly processes are becoming an important consideration for consumers. Analytics-fueled strategies for minimizing the environmental impact of driving practices can help your company reduce its carbon footprint and gain a competitive advantage with green-minded consumers.