Einfochips Inc
Sunnyvale, CA:
How DevOps Drives Business in Product Engineering Services
Meghna Verma discusses how the attributes of DevOps that have made it successful can be further applied to the world of product engineering services.
World Health Day: Using Big Data to address depression
Big Data Blog | LUCA: End-to-end service to companies that want to offer data-driven services, Data Engineering and Big Data Intelligence
Using Big Data to Design More Resilient Energy Systems
In this video Dr. Amos Avidan, Bechtel's Senior Vice President and Manager of Corporate Engineering and Technology, shares how using big data can help to des...
4 Tips to Landing Your Dream Job in Big Data
It is no longer enough to apply for a data-driven job armed with an engineering degree and the ability to program. You also need to be able to innovate and embrace unorthodox approaches to work.
Engineering Digital Transformation for Continuous Improvement
Engineering The Digital transformation leverages manufacturing's successful track record of improving productivity and quality and organizational change management principles. It's a training program designed to reduce the barriers to change, enable teams to understand good design patterns, and ultimately allow organizations to create a systematic approach to continuous improvement.
Marketing engineering and enabled by data analytics
Marketing engineering enabled by data analytics enables effective marketing decisions using an interactive modeled decision process.
Using Big Data to Improve Risk Management
by Zurich | November 1, 2014 at 6:00 am These days, everyone is talking about the value of big data, but finding practical ways to put this information to use remains a challenge for risk managers and insurers alike. In this roundtable discussion, sponsored by Zurich , we discuss how companies can use big data to help gain a comprehensive, 360-degree view of total cost of risk and, in doing so, optimize the return on their mitigation investments. RM: The topic of our…
Data Engineering Pitfalls and How to Avoid Them
Successful data engineering requires a wide range of technical skills to build and maintain diverse data pipelines. Whether your data engineering team builds traditional data pipelines that feed business intelligence reports and dashboards or leading edge...
4 Business Risks Preventing Big Data ROI
4 Business Risks Preventing Big Data ROI Evaluating risk vs. return of a big data initiative can be tricky, especially because the open source market is so active and fluid. Financial risk aside, business risk actually plays the bigger spoiler in properly estimating future cash flows and profitability of a big data project. Accounting for risks such as competition, emerging technologies, rising costs and regulatory challenges…
Why Big Data is a game changer for Marketers?
Image source – Licensed images from Shutterstock Over the last couple of years Big data has revolutionized businesses in a much bigger way. It has started to make a marked difference in the way marketers think and take decisions. Marketers believe that Big data and analytics are the sure way of surging profits higher and capturing a larger share of the market. With the help of Big data technology they are able to get a 360-degree view of their customers. This is helping…
4 Ways Engineering and Construction Firms Use Big Data
HOW SMART, TECH-DRIVEN ENGINEERING & CONSTRUCTION FIRMS ARE USING BIG DATA TO MAKE BETTER DECISIONS AND REDUCE PROJECT COSTS. “Big Data” is one of those buzzwords you hear a lot in the tech world, but what does it mean for the engineering and construction world? As our business moves into the digital world, we’re amassing …
Will public clouds help enterprises to crunch engineering data?
The scale and complexity of the data is growing tremendously these days. If you go back 20 years, the challenge for PDM / PLM companies was how to manage revisions CAD files. Now we have much more data coming into engineering department. Data about simulations and analysis, information about supply...
Reynold Xin and Aaron Davidson of Databricks
Mining Big Data can be an incredibly frustrating experience due to its inherent complexity and a lack of tools. Reynold Xin and Aaron Davidson are Committers...
