Showing posts from February 13, 2017

Here is why Online language learning is critical for companies and global businesses

I have a pleasure to recall that, Online language learning aids corporations to achieve business development, improve customer service, and accelerate sales. 
Additionally, this platform also helps companies to collaborate with foreign clients while fostering stronger relationships, especially with large corporations. Training modules are available online.

The corporate online language learning market in Europe from 2017-2021

The most exciting is to note that, On-premise deployment is the more popular segment of the corporate online language learning market in Europe. 
For those who are unfamiliar, these solutions can be easily installed and customized, and most of the corporate sector has already adopted the on-premise deployment solutions.
Investments in language learning programs ease the learning process for employees from varied backgrounds. Technavio analysts forecast the corporate online language learning market in Europe to grow at a CAGR of more than 9% during the forecast period, according to their latest report.

Asia-Pacific, North America and Europe in the tactile sensor market

Recent findings from Research and Markets reveal that, geographically, Asia-Pacific is dominating the tactile sensor market driven by higher demand and consumption of tactile sensors in a wide range of applications in its large industrial base.
I can then observe that, Asia-Pacific was followed by North America and Europe as second and third largest market for tactile sensor market. Asia Pacific is projected to have the fastest growth, owing to a rapidly expanding industrial base, increasing presence of major end-use industry players in developing nations such as China and India in this region.

The growth driver for the tactile sensor in our ever-connected world

For those who are unfamiliar, Tactile sensor can be defined as a device that measures information arising from physical interaction with its environment. Tactile sensors can be used to sense a diverse range of stimulus ranging from detecting the presence or absence of a grasped object to a complete tactile image. A tactile sensor consists of an array of touch sensitive sites; the sites may be capable of measuring more than one property.

According to Research and Markets, globally, increasing adoption of automation and robotics in industrial applications is expected to remain the growth driver for the tactile sensor during 2016-2022.

Microservices in apps creation industry of today’s modern applications

Stakes are very exciting when it comes to build, migrate and manage a microservices-enabled application architecture. In effect, Microservices enables you to create an application as a suite of smaller services rather than a tightly-coupled singular piece of code, which ultimately makes the app easier to maintain and modify over time.
It is also indispensable to recall that, transitioning to a microservices-enabled framework enables companies to adapt existing monolithic architectures to meet the speed, scale and agility needs of today’s modern applications. Rather than having to take the entire app offline for scheduled maintenance, you can focus on refactoring and redeploying parts of the app for faster resolution.

The most exciting when it comes to Intel New Xeon Processor E7-8894 v4

In our ever-connected world where highest performance to handle the most demanding, mission-critical enterprise workloads is a game-changer; where large databases, enterprise resource planning (ERP), customer relationship management (CRM), online transaction processing (OLT) and in-memory analytics are part of our daily routine, Intel has extended the performance capabilities of the Intel® Xeon® processor E7-8800 v4 product family with the addition of a high-performance SKU in the processor family’s Advanced SKU stack. The Intel Xeon processor E7-8894 v4 combines high memory capacity and compute performance to deliver quicker results and improved productivity.

BigDL as the unified data analytics platform (Hadoop/Spark) for data storage, processing and mining

The BigDL can also serve as the unified data analytics platform (Hadoop/Spark) for data storage, processing and mining, feature engineering, machine and deep learning workloads and more. It lets developers write deep learning applications as standard Spark programs that run on top of existing Spark or Hadoop clusters to put deep learning workloads more directly in touch with the data they use.

Deep learning more accessible to big data users and data scientists

Deep learning, part of the AI (Artificial Intelligence) momentum is revolutionizing how enterprises data leverage big data in real for multiple purposes. At Intel, the BigDLfeatures an efficient large-scale distributed deep learning library built on Spark architecture that makes deep learning more accessible to big data users and data scientists. I can observe that, BigDL enables the exporting of AI expertise to data scientists now working across thousands of applications in hundreds of fields.

Hadoop anywhere in our ever-connected world

For those who are unfamiliar, the exploding big data from the web has generated huge opportunities for storage and analytics software. The development of e-commerce results in increase in amount of unstructured data from social media. As a result, large and complex datasets are being generated in almost all business activities. Due to which the need for storage, maintenance, and analysis of such data sets has arrived. 
In this momentum, Hadoop brings the ability to handle all types of data from every type of systems. It not only let you to store data but also to reveal insights by establishing relationships between different data sets.
Hadoop is a data storage processing system that enables data storage, file sharing, data analytics etc. The technology is scalable & enables effective analysis from large unstructured data therefore adding value.
With increasing role of social media and internet communication Hadoop is being largely used by giant technological companies such as Faceb…