5 Big Data Analysis Trends for 2018

5 Big Data Analysis Trends for 2018

November 13, 2017

In today’s world, there are only two things that are certain with big data – it will be different tomorrow and it will be faster tomorrow.

Every single day that passes sees more big data innovations brought to life. We are living in a world that is littered with one ground-breaking event after another. Trends rise so fast that it’s already falling by the time a business learns of it.

As technology continues to grow by leaps and bounds, it should be no surprise to discover that big data will continue to grow as well. Here are some of the trends we can look forward to in 2018.

#1: Cognitive Technologies Will Continue to Grow

Cognitive technologies are in a constant state of flux. They evolve and become more capable of performing human tasks every day. We are going to see this trend take a significant leap in the coming year. Certain human tasks will become fully automated.

As it stands right now, businesses already have the ability to automate a lot of tasks that used to be reliant on human perceptual skills. For example, we have programs that can identify faces and recognise handwriting. In the past, both were reliant on human perception but today they are fully automated. In 2018, I expect to see several jobs become fully automated.

#2: Prescriptive Analytics Will Grow Even Stronger

If we can’t use analytics to lead to better decisions, then why would we continue to devote resources into this area? Businesses are using big data to make important decisions and achieve better results. Prescriptive analytics is designed in a way that uses both predictive and descriptive analytics. It’s used to determine the best action to take.

We will see prescriptive analytics become an even deeper seeded part of core business processes. CEOs will start becoming dependant on this data to make important decisions.

#3: Big Data Will Become Much Faster

Right now, we’re starting to see businesses trying to find ways to get data at a faster rate. From outsourcing to developing AI systems, innovators are trying to transform raw data into relevant information faster than their competition. Whoever has access to information first is at a significant advantage.

We will see big data analytics continue to become faster in the coming year. New processes will continue to hit the market as businesses become more familiar with the capabilities of big data. Analytics solutions will start flooding the market.

#4: Machine Automation

There are a lot of models that can be automatically produced today in order to deliver more complex data at a fast rate. These models help companies make better decisions. This paves the way for more complex forms of machine learning. We’re already seeing this on a smaller scale in the form of fraud protection and real-time advertisements.

In 2018, we will see this trend grow. Machines will become faster and smarter than ever! We probably won’t see artificial intelligence taking over too many people tasks. What we will see is a new solution for demand forecasting made possible through AI.

#5: Cyber Security Will Be Advanced

We have discussed artificial intelligence quite a bit in this post. I feel that its most important feature is going to be the ability of AI to protect the cyber realm. We can already create systems that can actually model human psychology to formulate more accurate predictions. Therefore, it’s safe to say that AI will be able to enhance cybersecurity by learning to predict attacks before they happen.

We will start to see these types of enhancements in cyber security in 2018.

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