Linked In is the fastest growing business-oriented and professional social networking platform with more than 500 million profiles and over 200 million active users. It also forms the world’s largest employment network and allows the employers to find the most eligible applicants for their job. Linked In hosts professional accounts of some of the world’s biggest entrepreneurs, CEOs and business tycoons. As the time passes, more and more users are connecting to the Linked In’s social network and the number is only going to rise.
As it turns out, Linked In has also emerged as a popular knowledge sharing platform. With its blog feature, every Linked In user can write and share articles on different topics. It’s as easy as sharing something on social media. The blog feature on Linked In is quite similar to Quora where the users can create a blog and keep posting articles on it time to time. On Linked In, you can easily drive traffic to your blog which in turn, helps in ameliorating your Linked In profile. The best way to get maximum traffic to your Linked In blog is to write on the trending and the most searched topics on Linked In. You need to give people what exactly they are looking for. As we all know, it’s a business-oriented platform and writing on generic and social topics won’t do much if you are looking for some serious readers for your blog. The best way is to write blog on the technical topics and the technologies that are currently in trends. Given below are the three most searched technologies on Linked In that you must be familiar with.
Also read 5 Best Artificial Intelligence Tools.
#1 Artificial Intelligence
Artificial Intelligence is an ultramodern, state-of-the-art technology that has revolutionized the IT industry. AI is not a new concept. It’s been there for years. But this cutting-edge technology has grown substantially over the years. Machine Learning and Virtual Reality are few awe-inspiring aspects of Artificial Intelligence. The technology has greatly influenced our day-to-day lives. Machine Learning has made it easier than ever to understand the user behavior and learn preferences of the user by means of smart algorithms.
#2 Blockchain Technology
Blockchain is the underlying technology behind Bitcoin which now powers the entire cryptocurrency landscape. It was conceptualized by Satoshi Nakamoto in 2008 and was first implemented in Bitcoin. Blockchain today, forms the backbone of the cryptocurrency space. But the technology is way more advanced than you may have imagined. Blockchain technology is multifaceted and it has a myriad of applications and use cases.
Blockchain is basically a database that stores information in a series of blocks. It can be perceived as a digital ledger that comprises of a series of blocks that are electronically linked to one another and are protected by a top-tier form of cryptography. Each block has a specified size limit and each one stores a small patch of data. Blockchain forms a tamper-proof record of data that can’t be altered or deleted at any point of time. Thus, it forms an immutable record of data that is shared among all the nodes in the network. Blockchain was primarily built to store the transactional data pertaining to Bitcoin but the latter is now being used in a number of applications. Digital Identity, Distributed Cloud Storage, eVoting and Smart Contracts are just a few non-financial applications of Blockchain.
#3 Enterprise Resource Planning
The ERP systems are built to streamline the business operations by automating the tasks of an organization. These systems make use of a series of modules where each module handles a different business vertical. Some examples of these modules are HR module, Sales and Marketing, Inventory, Purchase, CRM, Supply Chain Management, Finance & Accounting modules. Each of these module aids in the automation of the operations pertaining to that particular vertical. For instance, the inventory tracking module helps you in keeping track of the raw material available in the warehouse at any given time. You can also monitor the movement of deliverables from warehouse to the manufacturing units and everything in between. There are separate ERP systems for big enterprises and small-to-medium enterprises.
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