CBNITS

Blockchain technology is playing an instrumental part in making cyberworld more secure and unbreachable. The name blockchain was primarily attached with cryptocurrency, but this new-age technology can have a transformative impact in providing top-notch cyber-security. Blockchain and Advanced Cyber-Defense - Organizations all over the world are utilizing blockchain in a variety of ways and the most popular one is in the field of cyber-security. The blockchain is an incorruptible digital ledger of economic transactions that can be programmed to record not just financial transactions but virtually everything of value. This could potentially help enhance cyber-defense as the platform can prevent fraudulent activities via consensus mechanisms, and detect data tampering depending on its underlying characteristics of operational resilience, data encryption, auditability, transparency and immutability Businesses are able to authenticate devices and users without the need for a passwo...

Machine learning is an approach to artificial intelligence that’s focused on making machines which can learn without being explicitly programmed. As machine learning becomes increasingly valuable and the technology matures, more businesses will start using the cloud to offer machine learning as a service (MLaaS). This will allow a wider range of organizations to take advantage of machine learning without making large hardware investments or training their own algorithms. And the more you feed it, the “smarter” it gets in terms of what it is able to predict. Machine Learning in Simple Terms - While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn. Machine Learning Applications - The self-driving Google car Cyber fraud detection Online recommendation engines—like friend suggestions on Facebook Netflix showcasing the movies and shows How Businesses Are Using Ma...

Most of us are now more than familiar with terms like Hadoop, Spark, MY-SQL, Hive, Cloud etc. We know there are at least 20 NO-SQL databases and a number of other Big Data solutions emerging every month. Today, data are accumulating at exponentially increasing rates. There are more than 100 hours of video uploaded to YouTube every minute, millions of images are uploaded to Facebook and Instagram. Big Data solutions are used to analyze this enormous amount of data. Industries that are getting the most out of this amazing technology - Several industries, such as financial services, telecom, retail and insurance, are among the leaders in collating, processing, and analyzing big data into reliable findings. Even more importantly, they have the ability to arrive at these insights in very quick, if not real-time. Generally, most organizations have several goals for adopting big data and Hadoop . While the primary goal for most organizations is to enhance customer experience, other g...

Every big company whether it is Google or Uber, Airbnb or Pinterest begins with a grand idea. An idea might come to you as a slow hunch or it may strike you like lightning. The remarkable success of these companies points out to one direction, if you have a unique business idea , try every possible thing to materialize it.  As with every industry, the business economy has had its challenges, where finding success can be really hard. It is really soothing to read the glorious success stories of the top companies and how they make it big. But their journey wasn’t that smooth. During the initial years, they find it hard to get the investors on the board and gather fundings for their daily operations. But the inspiring thing is that they never gave up chasing their dreams. Unfortunately, a lot of people have genius ideas that never see the light of day, as the process of turning such concepts into reality is definitely a huge challenge. But the modern day entrepreneurs don...