6 Disruptive Technologies That Affect Analytics


It can seem like a new technology is trending every few days.

While many come and go, some have the ability to make a huge impact on business.

Last year, Gartner released its top 10 tech trends for 2018.

Let’s take a look at some of them to see how these disruptive technologies affect analytics.

1. Artificial Intelligence

Artificial intelligence, also known as AI, “is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.”

Some applications of AI include speech recognition, medical diagnosis, remote sensing.

In the workplace, AI examples include chatbots, contract reviews, and even software training. These examples have the potential to reduce human intervention and increase productivity.


2. Intelligent Things

AI is at the foundation of intelligent things, which interact in a more intelligent manner with people and surroundings.

“These things operate semiautonomously or autonomously in an unsupervised environment for a set amount of time to complete a particular task,” writes Gartner’s Kasey Panetta.

Examples of intelligent things include automated vacuum cleaners (such as the Roomba), smart thermostats (such as Nest), and self-driving vehicles.

Because intelligent things are powered by AI, they have the potential to increase productivity.


3. Immersive Experience

Two trendy technologies right now are automated reality (AR) and virtual reality (VR).

AR superimposes digital artifacts over the real world, while VR is a complete computer simulation.

Gartner predicts these another reality will emerge: mixed reality, “where the user interacts with digital and real-world objects while maintaining a presence in the physical world.”

Mixed reality examples include apps that are used for annotating a factory to give workers necessary information, or even providing a virtual environment for workers so that they can tour a new facility.

Given the example of a factory, one potential effect immersive experiences on analytics could be increased safety.


4. Blockchain

Blockchain works in that information can only be added on to a transaction ledger in the form of blocks. Previously stored information cannot be edited or deleted. “Any change to the contents of a previous block in the chain would invalidate the data in all blocks after it,” writes Arthur Iinuma at Forbes.

Businesses can use blockchain to, among other things, impact “the last mile,” or the last leg of the delivery cycle. Blockchain has the potential to decrease missed deliveries, decrease costs due to missed deliveries, and verify package delivery to curb theft. As a result, customer satisfaction and loyalty elevate, while brands would likely see an increase in profits.


5. Digital Twins

Gartner says a digital twin “is a digital representation of a real-world entity or system.”

Digital twins are linked to real-world objects, such as the intelligent things mentioned above, and offer “information on the state of the counterparts, respond to changes, improve operations, and add value.”

One analyst envisions digital twins enabling, for example, AI-based capabilities for city planners to allow for advanced simulations. These simulations could potentially affect water usage, traffic patterns, and more.


6. Digital Duplicate

How do you organize hundreds, thousands, or millions of digital twins?

With a digital duplicate.

A digital duplicate is a digital representation of not just one unit, but your entire organization. The digital duplicate provides a 360-degree view of your business, rapidly connecting your organization and allowing your key stakeholders to better understand their business, their products, and their customers.

Digital duplicates impact analytics for two main reasons: first, disparate legacy systems cost organizations development speed, and two, they can manage and leverage big data.

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