Click to learn more about author Julie Herd. Every day, new application workloads are being developed for online services, and many companies flounder because they are unable to process growing data volumes at a sufficiently fast pace. Consequently, they may not always make the best and most informed decisions and may be missing out on […]
The Future of NLP in Data Science
According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming […]
Why Data Science is Not Statistics
Click to learn more about author Alex Paretski. Statistics as a branch of applied mathematics plays an important role in identifying hidden patterns in data. That’s why it is frequently used interchangeably with broader terms such as Data Science, Data Analytics, Business Analytics, and Machine Learning. Not only is this comparison technically incorrect, but it […]
Business Intelligence and Analytics Trends 2019
In 2019, Advanced Analytics capabilities with minimal manual efforts will remain the hallmark of all competitive Business Intelligence solutions. The Business Application Research Center (BARC) 2018 Business Intelligence Survey indicates that the global BI solutions market is slated for major technological changes. The primary technology initiatives that BI users can expect in 2019 are Cloud BI deployments, BI […]
Sisense Hunch Turns IoT Devices Into Supercomputers
According to a new press release, “Sisense, disrupting the business intelligence (BI) market by simplifying business analytics for complex data, today announced the launch of the patent-pending Sisense Hunch Data Cognition Engine (‘Sisense Hunch’) from Sisense Labs. Sisense Hunch ‘learns’ massive datasets and can produce microsecond analytical responses to queries that are 99 percent accurate […]
Advanced Analytics: Exploration of Some Transformative Future Trends
The wide availability of streaming devices, monumental volumes of data, cheap storage platforms, and hosted Analytics Infrastructure have jointly contributed to the rapid adoption of Advanced Analytics by businesses of all shapes and sizes. Any reasonably well-informed business can now take advantage of outsourced Analytics Platforms and extract the maximum value from their data. This […]
The Future Impact of Data Science on Business Analytics
The field of Data Science is in a transitional mode in terms of how the latest data technologies are being used to solve business problems for a strategic advantage. In the near future, Data Scientists will conduct their business very differently. As Big Data, algorithm economics, IoT, and Cloud continue to become mainstream across global […]
Key Benefits of Business Analytics in the Business World
According to a recent press release, “Quantzig, a global analytics solutions provider, has announced the completion of their latest article on the key benefits of business analytics in the business world. Healthcare professionals are concerned about many things, such as – if there are enough measures available that must be taken in case of flu? […]
Internet of Things vs. Edge Computing: Processing Real-Time Data
In Edge Computing, “data” is processed near the data source or at the edge of the network while in a typical Cloud environment, data processing happens in a centralized data storage location. The Forbes post This Is What You Need to Learn about Edge Computing provides a good illustration of this point. New iPhones have […]
Analytics Translator vs. Citizen Data Scientist: What is the Difference?
Click to learn more about author Kartik Patel. There is a new business role on the horizon and, at first glance, it may seem very much like a role that was introduced a few short years ago. This new enterprise role is known as an ‘Analytics Translator’ and, while there is some confusion regarding the distinction between this […]