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
Banking industry leaders are rethinking their incentive compensation strategies in terms of risk and compliance. Here are some important questions—and some best practices—that can guide banking managers and executives as they develop incentive compensation plans that drive both compliance and
The complexity of multiple data sources contributing to the rising tide of data has executives at many enterprises up at night because of concerns involving risks, regulations and compliance. See why information governance is especially vital in today’s complex ecosystem of voluminous data sources
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
Despite big data’s hype, a significant number of organizations are still in a holding pattern—either locked in planning, hesitant to get started or wanting to avoid Apache Hadoop and Apache Spark projects. Complexity and a shortage of skills can exacerbate the situation. Increasingly, organizations
When Chartis Research asked banks how ready they expected to be by the 2019 deadline for implementation of FRTB, it found that most financial institutions surveyed did not expect to be in full compliance by then. What’s more, many didn’t even have a firm timeline for achieving compliance. Don’t
How to enhance risk management can be a vital consideration when organizations need to determine whether a particular behavior is an anomaly or representative of a large problem. Perhaps a chief reputation officer is required to take on the responsibility of identifying gaps that may exist between
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
IBM Vision 2016 continues a strong tradition of inspirational and innovative presentations and discussions that shape the transformation of professions and organizations in ways that enable outthinking challenges that lie ahead. Get a unique perspective on this event from Doug Barton, director,
Organizations of all sizes are looking for ways to make innovation a central part of their business approach. In this episode of the Finance in Focus podcast series our guests—futurist and award-winning author Lisa Bodell, and IBM thought leader Doug Barton—provide practical insights into how
Metadata and governance might not have a long history of setting hearts ablaze, but those who are recognizing their importance to self-service are looking to metadata to help organizations fully leverage a wide range of assets across the business. Discover why metadata and governance are taking a
Financial risk mitigation requires the integration of high quality risk data, which is often held in multiple locations. Big data storage solutions and powerful analytical tools can make financial risk mitigation a breeze.