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What Makes GPUs, GPU Databases Ideal for BI?

What makes GPU databases ideal for BI? That’s what a new white paper from SQream DB wants to explain — incorporating real-world use cases to explain how you can turn your existing BI pipeline into “a more capable, next-generation big data analytics system.” Download the new report, courtesy of SQream DB, to learn more about how GPUs and GPU databases can help you organize and benefit from your next big data analytics system.

UC Berkeley Graduate Receives ACM Doctoral Dissertation Award

ACM, the Association for Computing Machinery, announced that Chelsea Finn receives the 2018 ACM Doctoral Dissertation Award for her dissertation, “Learning to Learn with Gradients.” In her thesis, Finn introduced algorithms for meta-learning that enable deep networks to solve new tasks from small data sets, and demonstrated how her algorithms can be applied in areas including computer vision, reinforcement learning and robotics.

Take Your Business Use Cases to the Next Level with AI & ML

Industry leader, TIBCO released insights from a survey “CXO Innovation Survey” that polled 600+ c-suite executives about the key AI/ML use cases that are being used in businesses today. According to the survey, data security is considered the top AI/ML use case among c-suite executives. Included are the top rated AI and ML use cases.

Data Literacy: Making Society Fluent in Data

In the age of big data, data science, and AI, there is a broad ranged need for global data literacy. The time is near when national economies will be data-driven. Fortunately, a recent unveiling describes a timely resource to address this need. Qlik and The Data Literacy Project announced that they’ve partnered to launch a certification that lets individuals document and demonstrate their data literacy skills. Developed by leading academics and data literacy specialists at Qlik, this free, 70-question examination tests the ability to read, work with, analyze and argue with data.

Why Big Data Is a Big Opportunity for Employment

In this contributed article, technology writer and blogger Kayla Matthews discusses how the importance of big data expertise couldn’t be more clear — for companies or for job-seekers. Thankfully, a more complete picture is emerging for how we can prepare many more people for a role in this exciting and quickly growing field.

The Role of the Data Scientist is in High Demand. But What Does it Take to Fill the Job?

In this contributed article, Rich Cober, MicroStrategy’s Chief Human Resources Officer, discusses how the data scientist will be critical in driving the overall success of the enterprise, and in the U.S., we can expect some of those profits being ploughed back into using data to help further improvements in hiring, training, product development, marketing and more. Forrester Research analyst Brandon Purcell said demand for data scientists will only continue to grow. A career in data science is not only one of the most in-demand opportunities, it is also a rewarding position that helps inform the most important decisions an enterprise can make.

Accelerating Training for AI Deep Learning Networks with “Chunking”

At the International Conference on Learning Representations on May 6, IBM Research will share a deeper look around how chunk-based accumulation can speed the training for deep learning networks used for artificial intelligence (AI).

Things You Need to Know About Looking for a Data Science Job in 2019

In this contributed article, Avery Phillips indicates there are numerous things to be aware of as you begin the job search for a data science position. Many apply to any traditional job hunt, but others are important for those going into the field of data science to consider. As graduation looms upon you and preparing for a real job becomes more of a reality, here are a few things to take into account.

The Importance of Predictive Analytics in Higher Education

In this special guest feature, Brian Rowe, founder & CEO of Perceivant, explains how predictive analytics has evolved into a hot button topic among educators in order to better serve students by becoming more data-informed. This is a result of the intense pressure placed on universities to demonstrate an ROI for students as the U.S. dropout rate continues to be at an all-time high.

Prepare for Production AI with the HPE AI Data Node

In this video from GTC 2019 in San Jose, Harvey Skinner, Distinguished Technologist, discusses the advent of production AI and how the HPE AI Data Node offers a building block for AI storage. Commercial enterprises have been investigating and exploring how AI can improve their business. Now they’re ready to move from investigation into production. […]