Strata Hadoop World Conference Update
Recently in the Strata Hadoop World Conference hosted last month in Singapore, Rod Smith, our VP of the Emerging Technologies, presented a keynote expanding on the newest driving business force: realtime digital business transformation. As businesses and customers demand quicker insights to recognize threats and opportunities for their businesses, the challenge for data scientists focuses on how to leverage historical and streaming data–which is becoming increasingly difficult. With just-in-time analytics, Rod describes what businesses are looking for in the next few years and which technologies will meet this challenge.
Highlights: On the Horizon Technology
The emphasis of Rod Smith’s presentation revolved heavily around the evolution of machine learning. Using realtime analytics, new apps, services, and technologies are being created to help businesses further understand how technology can assist them and be utilized in their projects. Through initiatives like IBM Watson, DevOps for Bluemix, and many others, just-in-time analytics have helped to pinpoint areas of assistance and improve efficiency to help businesses adjust to market changes. The value lies in evolving machine learning to become more domain specific so technology can be made as per the problem context. Over the next five years, IBM predicts machine learning applications will transform businesses efficiency through its versatility, approachability, and capability to increase business time-to-value for customers.
As one of the fastest growing ecosystems in open source, IBM remains committed to leveraging, contributing, and participating in Apache Spark’s rapid, realtime analytics capabilities to solve pressing business and customer needs. With its unified programming platform making it an easily integrated technology, Spark enables solution developers to focus on their business models and less on their programming models, allowing them to focus on the problem at hand and identity areas of improvement.
Today, there is a growing number of users leveraging notebooks and open source tooling to transform data, perform experiments, and visualize results. Bringing data scientists and developers together, Notebook IDEs provide a unified, web-base, interactive approach for team collaboration. Using Jupyter Notebooks from a developer standpoint to organize and collaborate data, it becomes possible to further translate that data into business solutions. This cornerstone technology is helping to identify insights quicker to impact business change sooner.
Want to learn more?
IBM Emerging Technologies teams are engaged in numerous projects to create rapid solutions and gain insights for customers as these technologies begin integrating together. To learn more, contact us at email@example.com.