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Internet of Things has transformed every industry and transportation industry is no exception to that. The number of connected devices is expected to cross 1 billion by the end of the year; many of those devices are related to  IoT  in transportation. Now let’s take a look at the applications of the Internet of Things in the following key fields in the transportation industry. Railway Transportation : IoT applications in the field of rail transportation will have many benefits such as: Lesser maintenance breakdowns Integrating sensors will lessen the chances of sudden breakdowns of the railways and they will also be able to predict the possible failures of the machine parts and will help the maintenance department for the preventive measures. This will result in the lesser maintenance breakdown delays. Safety and Reliability Use of sensors and the connection between the server and the railways will undoubtedly play a huge part in ensuring the passenger and the railw

It’s not a secret that Skilled Professionals and Artificial Intelligence is a developing technical trend, with ability in the field companies’ gaze for a competitive power. Areas like automobiles, pharmacy, and IT & ITES are in their change stages and are accepting tools for better governance which is impacting and reforming the workforce. You can also learn more about AI by reading  “What is Artificial Intelligence (AI)? What are Pros and Cons of Artificial Intelligence in 2018” ?  For now, let’s back to our main things. The variation of changing the environment in Artificial Intelligence is pouring both companies and Skilled Professionals to advance their abilities. The stress of losing jobs because of the ai trend will diminish out if one make efforts on setting their skills gaps through ‘training and developing’. Professional Human Intelligence or Artificial Intelligence As  skilled humans , we are a product of 1 billion moments and emotions. The only human brain cont

What is a Blockchain Technology ? The Blockchain Technology is a digital ledger of financial transactions; which can be planned to record not just financial transactions but practically everything of money. You can refer to know more about Blockchain technology by visiting –  “5 Ways in Which Blockchain Could Impact your Business & Society.” How are financial services using Blockchain Technology ? Crypto-currency  was introduced with the aim of bypassing financial institutions and central regulatory bodies. However, crypto currency technology has gradually become a field of interest for banks all over the world. The financial industry has spent an estimated $1.7 billion on Blockchain technology in 2017. Industry experts predict a range of areas in the finance industry that would be right for blockchain technology such as proof of trade finance, expenses, clearing and settlement etc. While most of the plans haven’t grown outside the ‘experimentation’ phase; whereas

Social media is not any more optional; it’s a necessity. It is changing the financial services industries in many ways, from enhancing customer services to enabling clients to do online activities using financial social networks. But, with such an abnormal state of access comes another subset of problems. Therefore, Financial institutions are hoping to pick up an upper hand over different organizations while additionally attempting to moderate the risks presented by social media, for example, when people share very delicate data openly. However, things are rushing. Key areas where social media is reshaping financial services: Marketing and Promotions Marketing via social media is much more than conveying a tweet about an item; it includes tuning in to clients and exhibiting the organization’s products and services in a way that will address the customer’s issues. As a result,  Social media marketing  cannot be separated from an organization’s marketing plan. American Express

Edge computing has driven a lot of traction with the focus on the  Industrial Internet of Things  (IIoT) ever so increasing. This has raised many questions related to user privacy, data security, data efficiency, and the time required to fetch and transmit that data. But with the introduction of  Artificial Intelligence  (AI) for Edge Computing will clear most of these queries satisfactorily. What is Edge Computing ? A Computing paradigm where most computing or in some cases total computing is performed on smart devices or edge devices instead of the centralized cloud is known as Edge Computing. Edge Computing is considered as the first stage of Intent of Things; It handles the responsibility of collecting the data. Since the data collection takes place on the end-to-end devices; unlike the existing centralized cloud computing in data centres; the data privacy and the data security aspects have come to the forefront. But the introduction of Artificial Intelligence for

DevSecOps vs DevOps DevSecOps infers that everybody is accountable for security with the aim of firmly appropriating security choices. DevOps engineer is accountable for managing the assignments associated with a single project or task. Source-  qph Impact of DevOps and DevSecOps DevOps is the joining between the advancement clan and the operations clan to make a practical, smooth conveyance of services. It has reformed our way to deal with improvement and support. However, the time has come to think about the security clan and to move security over to one side and make it centre to what we do in DevOps. DevOps is currently transforming into DevSecOps as associations and security experts reconsider how they create, oversee, and secure applications. The main objective of DevSecOps is to tear down boundaries and extensive coordinated effort between security, and operations administrations. Read More:  https://www.knowledgenile.com/blogs/significance-devops-devsecops/

The best tools for successful implementation of IIoT In this first stage of smart device integration, the data collection begins, and the effective use of sensors, actuators, and IoT Gateways will help you to gather the data in an effective manner. Edge Devices for front end: Edge Devices are the devices which are used to control the flow of data from one network to another. These devices are generally sensors, actuators and various other end-point devices, and IoT gateways. Source:  ttgtmedia Ideal Characteristics of a front-end edge device tool for IIoT applications It should be of peer-to-peer networking A collaboration of Edge Devices for an effective implementation The methodical Query Distribution system in between the systems Data Governance from quality, security, discovery aspects Proper Data Distribution Management- Clarity on the data storage Connectivity Once you collect all the data, the process of transferring the data to the cloud begins. You nee