canopus infosystems

The Internet of Things (IoT) is one of the greatest and rapidly evolving technology which is creating a new, quantifiable and measurable world in today’s era. IoT has been changing the people and businesses in a more profound way than the internet as they can manage their assets in a better-informed way, make better and informed decisions in a timely manner about what they want to or need to do. It is believed that in upcoming years, IoT will provide highest numbers of business results in various business sectors like Manufacturing, Transportation, Banking and Finance, Logistics, Retail, Oil and Gas, Healthcare, and Education just to name a few. The applications of IoT in the real world is found almost everywhere.Smart home Smart Home, ranking as the highest Internet of Things application on all measured channels. More companies are active in a smart home than any other application in the field of IoT. The total amount of funding for Smart Home startups currently exceeds $2.5bn. This list includes prominent startup names such as Nest or AlertMe as well as a number of multinational corporations like Philips, Haier, or Belkin. Wearables From all the IoT startups, wearables are probably the one with the biggest funding to date. It stands at more than half a billion dollars, changing the face of business. Smart City The smart city spans a wide variety of use cases, from traffic management to water distribution, to waste management, urban security, and environmental monitoring. Its popularity is fueled by the fact that many Smart City solutions promise to alleviate the real pains of people living in cities these days. IoT solutions in the area of Smart City solve traffic congestion problems, reduce noise and pollution and help make cities safer. Smart Grids A future smart grid promises to use information about the behaviors of electricity suppliers and consumers in an automated fashion to improve the efficiency, reliability, and economics of electricity. Connected Health (Digital health/Telehealth/Telemedicine) Connected health remains the sleeping giant of the Internet of Things applications. The concept of a connected health care system and smart medical devices bears enormous potential not just for companies also for the well-being of people in general. Yet, Connected Health has not reached the masses yet. Prominent use cases and large-scale startup successes are still to be seen. Might 2015 bring the breakthrough? Smart supply chain Supply chains have been getting smarter for some years already. Solutions for tracking goods while they are on the road, or getting suppliers to exchange inventory information have been on the market for years. So while it is perfectly logical that the topic will get a new push with the Internet of Things, it seems that so far its popularity remains limited. Smart farming Smart farming is an often overlooked business-case for the internet of Things because it does not really fit into the well-known categories such as health, mobility, or industrial. Smart farming will become an important application field in the predominantly agricultural-product exporting countries. These industries and many more are adopting IoT technology, and to great success, with 94% already claiming to see returns on their investments. It’s also estimated that IoT technology could contribute to as much as $19 trillion in cost-savings and profits in the future.

Choosing the right stack when developing a flexible, efficient, reliable and scalable web application or dynamic website can turn out to be an overwhelming process. Striking the right balance between variables involved with front-end functionality, database management system, web server, and the server scripting language is crucial. In recent times, the MEAN stack has established itself as one of the most preferred web development solutions. Let’s dive into this web-stack and shed some light on what makes MEAN stack the ideal choice for web development. MEAN stack is an open-source JavaScript-based software stack comprising of MongoDB, Express, Angular and Node.js. All these components support programs are written in JavaScript leading to the complete web application being written in a single programming language. MongoDB: It is a cross-platform NoSQL database which stores data as JSON documents. The architecture of this database allows it to be scale seamlessly. Other important features such as indexing, replication and load balancing are also at the developer’s disposal. Express: It is a light and flexible Node.js application framework. It eliminates the need for the developers to handle low-level protocols and processes thereby speeding up the development routine. Angular: A frontend JavaScript MVC framework maintained by Google to facilitate the rapid development of web applications especially single page applications. It enables a consistent interface across web, mobile or desktop. Node.js: A powerful JavaScript runtime environment which allows developers to write command line tools for server-side scripting to generate the content for the dynamic web pages. It brings event-driven programming to web servers resulting in fast servers. Now that we have learned about what is MEAN stack lets get in to ‘Why’ aspect of it. 1. Cost-effective development: Everyone involved in the development cycle favor MEAN stack as it does offer a way of creating fast responsive web apps while being easy on the wallet. As all the major components are open source and free, at the same time based on JavaScript the costs involved with hiring resources with diverse skills are cut down significantly. And with the backing of a dynamic and vibrant community, there is also the added advantage of code reuse and sharing within the stack. 2. Improved development speed and scalability: The number of modules, frameworks, and libraries which can be reused within the stack is tremendously high. These pre-existing components can be integrated directly into the code and can trim down the development time. The 4 major components of the stack are open-source and regularly maintained, making them perfect for scalable applications. 3. Smoother project management: The productivity of developers working on a MEAN stack project is relatively high due to the fact that there are fewer pitfalls in internal communication as everyone involved is a JavaScript developer. This makes the team more collaborative and eliminates the roadblocks associated with projects involving developers from different backgrounds. 4. Performance Improvement: Node.js has a non-blocking architecture which makes it exceptionally fast thus improving the rendering times for the content-rich dynamic web pages. Combined with AngularJS, which is known to provide fast and clean UI, applications based on MEAN stack often outperforms apps built on other stacks. Benchmarking data from various sources only make this argument stronger for this technology. This modern approach has propelled MEAN stack to become the ideal choice for the development of any web application and dynamic web pages. This technology is also improving and getting refined every single day. The level of trust the community has put into this technology can be validated by the fact that big players such as PayPal, Netflix, and the NY Times have decided to give this a go.

The huge changes winning in the present innovative scene has opened entryways for Big Data and Data Science to improve enterprises and lift economies. Its job has been raised to a degree where extracting information from gathered data has turned out to be significant to organizations both little and huge. Data science covers a tremendous system of points under its umbrella including Deep learning, IoT, AI, and different others. It is a far-reaching amalgamation of information derivation, examination, calculation, and innovation to take care of multifaceted business issues. With the unabated expanding prevalence of data science and new innovative and advanced improvements, the applications and employment of data science are expanding significantly after some time. In light of that fundamental reason, here are 5 Big Data and Data Science Trends to Expect in 2019 IoT Networks It's winding up very normal that our cell phones are being utilized to control our home apparatuses, because of the innovation called the Internet of things (IoT). With keen gadgets, for example, Google Assistant, Amazon Alexa and Microsoft Cortana slanting in homes to mechanize explicit errands, the developing IoT furor is attracting organizations to put money into the innovation's improvement. Greater Clouds The cloud is huge, and getting bigger. In 2018, the three greatest open cloud merchants developed at a rate moving toward half. With a variety of huge information apparatuses and innovation – also the modest capacity for lodging such information – it will be difficult to oppose the charm of the cloud. In 2019, private companies and new businesses will incline toward the significant open cloud suppliers, which are putting majors totals in structure prepared to-run enormous information stages, packed with robotized AI, systematic databases, and ongoing gushing examination. Predictive Analytics Predictive Analytics offers altered bits of knowledge that lead associations to produce new client reactions or buys and advance strategically pitch openings. Predictive Analytics causes innovation to coordinate into assorted spaces like healthcare, automotive, finance, aerospace, retailing, hospitality, manufacturing, and pharmaceuticals industries. Intelligent Applications The buzz made by AI is probably not going to fade away in the coming year. We are in the beginning and starting phase of AI, and the next year will see the further developed utilization of AI in every one of the fields. Outfitting AI will at present remain a test. Progressively smart applications will be created utilizing AI, Machine Learning and different innovations. Mechanized AI (ML) will end up normal and it will change data science with better information. There will likewise be the advancement of explicit equipment for preparing and execution of profound learning. Joining of AI will upgrade basic leadership and improve the general business experience. Blockchain The blockchain is a noteworthy innovation that underlies digital forms of money like Bitcoin. It is a very verified record and has an assortment of uses. It very well may be utilized to record an extensive number of definite exchanges. Blockchain innovation can have expansive ramifications as far as information security. New safety efforts and procedures copying the blockchain innovation can show up in the coming year. With such patterns esteemed to win in the coming year, the future for development and business looks splendid. Like Big Data, Data Analytic & data Science will observe monstrous use and advancement in the up and coming year. The advanced and physical world will progressively get entwined. Advanced experience will get all the more complicatedly joined in human encounters. With these driving patterns which are relied upon to endure, the field of information science is required to see presentation and advancement incalculable.