Data is Most Precious Asset of Personal Life as well as For Business. Data will continue to transform the way we work, interact with others and pretty much impact every facet of our lives. There are Some Great Trends We have seen For Data and Its Use Cases..
Trend 1: The increasing datafication of our lives, and how we’re all leaving our (digital) mark
More than 15 million texts were sent per minute in 2017. That’s just one way we leave digital breadcrumbs as we go about our everyday activities. According to the Pew Research Center, 77% of Americans own a smartphone and every time you use it to get from Point A to Point B, check your social media accounts, send a text or search the day’s headlines you create more data. When you shop online, place a lunch or dinner reservation or delivery order, and even relax at home watching the latest Netflix smash or reading from your tablet, you continue to data-fy your life. In 2018, we will have more data to play with than ever before.
Trend 2: SMART DEVICES around us generates Huge Data That Can be used for Analytics. The Internet of Things (IoT) means everyday devices are becoming smarter
Things rather than humans are generating data thanks to the Internet of Things (IoT), all the smart devices and machines that communicate with one another. These days, almost anything can be made “smart” from refrigerators to your Fitbit to the thermostat in your home. The way they become smart is that they can interact with each other and decide a course of action without any human intervention. Intel predicts there will be 200 billion devices connected to the internet by 2020. Regardless of how many IoT devices there will be in the future, the number will grow and this growth makes it possible for companies to create new products and services and ways to optimise decisions and operations. In 2018 will have more devices that generate data and more devices that will process and analyse the data directly.
Trend 3: High End Computer Power adding incredible technological advances
The huge growth in computing power we experienced in recent years has made it possible to make use of the enormous growth in data we collect, store and analyze. We are now able to process unstructured data, and we utilize the cloud to store data and perform computing tasks using software and applications that are outside of our computers. We’re closer than ever to creating a commercially viable quantum computer that will be exponentially more powerful than today’s computers. 2018 will see an even greater increase in computing power and more companies will overcome their computing limitation by deploying cloud solutions and big data infrastructure.
Trend 4: Artificial intelligence (AI) and machine learning mean computers can now mimic the human brain
Although computers have been able to solve problems up to this point, we wouldn’t consider them to be “smart,” because a human had to tell (program) them what to do. Now, artificial intelligence (AI) has advanced to such a level, thanks to the explosion of data, that computers can teach themselves and can learn in a similar way the human brain does (think artificial neural networks). AI is helping computers take on human-like tasks and they can see, read, listen, speak and even gauge our emotions. In 2018, regardless of the industry you’re in, AI will likely have an impact on the way you do business in the very near future if it hasn’t already.
Trend 5: Automation is an unstoppable freight train, and we should be jumping aboard
As We know our computers are getting more intelligent day by Day . Theses Smart Computers ultimately do more processes, systems, functions and decisions can be automated or carried out by robots. Automation is already deployed in factories and manufacturing, self-driving cars and trucks, and more. This trend will undoubtedly alter many current job functions, but that will free up humans to do jobs that aren’t suited to machine and to complete more strategic, creative and complex tasks. In 2018, data will help to automate many more processes. Every company must consider what currently can be automated in their operations and how humans and machines can best work together.