Fuzzy Logix' CMO Aashu Virmani talks to Forbes about what makes a good data scientist or engineer.Read the source article at Forbes Welcome..
As the impacts of artificial intelligence and machine learning creep their way into every corner of the financial industry, banking providers are finding new ways to transform their approach to creating, producing and distributing their marketing materials. Advanced data analytics can help you build an omniscient system that automatically knows what to send, to whom and when, and do so without raising any compliance red flags.read more »
A high-performance computing record set by a cluster of more than 22,000 compute nodes has been shattered by just 30 machines.
The massive reduction in computing infrastructure needed to set a new record for simulating oil, water, and gas flow was made possible by tapping into the huge parallel processing ability of graphics-processing units (GPUs).Read the source articl..
In this video, Bill Schmarzo, discusses the Big Data Business Model Maturity Index, a tool that helps organisations understand how well they have adopted big data and what they need to do to achieve the ultimate phase of a data-driven, information-centric organisation. He discusses five different phases of the Model. Check out to see where your organization stands.Read the source article at Datafloq..
So, what exactly is the difference between a data engineer & a data scientist and what makes them tick? How do these 2 functions compliment each other? & How do you make your Big Data team work?
Many companies in the last few years have discovered the power of tiny changes. When you are dealing with a global population of buyers and millions of people, see your products every single day, changing a single small thing can have consequences in the millions of dollars.
The problem is that even though most companies realize this, they don't have access to the right information to make good decisions. This means that billions of dollars are being lost because of a lack of the right data.
The number of IoT technologies in the industry is growing at a rapid pace. Research shows that by 2020 there will be over 50 billion connected devices. With that many devices predicted to be connecting and collecting valuable data, it is no wonder that companies are looking for ways to leverage IoT solutions, to read more »
Ankit Mahato, Product Manager at Fuzzy Logix, in his presentation at the 5th IIM Ahmedabad International Conference on Advanced Data Analysis, Business Analytics & Intelligence focuses on the challenges we encounter while performing conventional analytics on the big data generated by sensors in the IoT framework. In this case, he goes deeper in the vertical of Smart Utility services, an IoT building block, ..
Big data is getting bigger by the minute. Preclinical researchers are focused on developing new hypotheses and ideas that can eventually translate into testing and deployment, which includes gathering an enormous amount of data, understanding and connecting the dots of different pathways, and coming to meaningful conclusions. There is also increasing demand, particularly in oncology, for better prognostic tests and companion diagnostics to inform treatment. Researchers are thus tasked with analyzin..