Look for IBM to launch the on-premises version of its enterprise performance management solution, IBM Planning Analytics, at for IBM Insight at World of Watson 2016. Check out the new features and business benefits of this new release of a leading-edge financial and operational performance
This industry customer panel was recorded live on Wall Street at the IBM Forum for Financial Services in New York City on 20 September 2016. It includes comments on the business benefits of IBM Customer Insight Solutions from Pershing, Southern Farm Bureau, USAA and US Bank. IBM Customer Insight
A demonstration of the IBM Customer Insight solutions for banking, wealth management and insurance was recorded live on Wall Street at the IBM Forum for Financial Services in New York City on 20 September 2016. IBM Customer Insight solutions are based on industry-specific models and can effectively
A recent CrowdChat covered team data science as the core competency for digital disruption in today’s business environments. Consider these highlights from that discussion as you prepare for your trip to Las Vegas.
Data analytics is no longer an either/or choice. With the integration of IBM SPSS Statistics and R, you can bring together the statistical analysis and data management capabilities that have helped so many data scientists gain insight after insight from their data.
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.
For the first time, cybersecurity strategy is an integral part of the platforms for US presidential candidates. Today, data breaches and cyber attacks are no longer just one-offs, but seemingly happen daily and impact both the private sector and government. What are we doing to minimize these data
Data is widely seen as the new source of competitive advantage, driving smarter decisions and helping enterprises outthink their rivals. But opportunities are often missed. Getting the data needed from multiple underlying systems can take far too long for application developers, business analysts
The Fall IBM Chief Data Officer Summit brought together more thought leaders than ever before, with over 130 Chief Data Officers, Chief Analytics Officers, Chief Data Scientists and senior-level data executives convening to network, share experiences and discuss the latest technological
Technology is transforming the financial services industry through advanced analytics, behavior finance, mobile computing, predictive analytics, robo advisors and now cognitive computing. Industry experts were recently asked to answer this question: “What is the most exciting change you anticipate
Volumes of data generated from a variety of sources can be a challenge to wrangle. Take a look at the advanced Design Data Flow beta capability of IBM Bluemix Data Connect that enables consumption of large data volumes from disparate sources, which can then be curated for deriving insights and
In just a few short days, World of Watson will be in full swing once again, bringing the very best in speakers, demonstrations, and networking opportunities with a cognitive flair. It's a perfect opportunity for Chief Data Officers to learn more about a variety of topics – from more traditional
The combination of Jupyter Notebooks, Apache Hadoop and Apache Spark has become a killer app for data practitioners. It unlocks the ability to explore, visualize and experiment with both structured and unstructured data sets with great ease and efficiency. We spoke recently with Chris Snow at IBM
Automation can be a great solution for highly manual processes, but its implementation has its detractors. Can robotic process automation be successful in providing an artificial intelligence solution that includes machine learning for further streamlining typically manually intensive processes?
SparkOscope helps Apache Spark developers take advantage of the job-level information available through the existing Spark Web UI; minimizes source code pollution; and extends the Spark Web UI with a palette of system-level metrics about the server, virtual machine or container related to each