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
Many of us might be surprised to learn that some of the most familiar brand names around started off with other names. IBM recently renamed IBM DataWorks—its flagship, self-service data preparation offering—to IBM Bluemix Data Connect. Get a glimpse of it in this brief overview, and discover how
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
Streaming analytics is giving developers the ability to accelerate the time to value provided by applications designed for the Internet of Things. Discover how IBM Streams 4.2 is connecting developers with the capabilities of advanced data analytics solutions, helping them keep pace with the ever-
The inability of lines of business to not serve requests because they have to wait for IT provisioning can lead to a proliferation of analytics silos that can cause a loss of control of data. See how the next big stage of analytics with integrated Apache Spark helps organizations understand the