4 Predictions For Big Data, IoT and Analytics

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In the coming years, the so-called “intelligent enterprise” is expected to capture the world over fully. The Internet of Things (IoT) with the help of Big Data and the Industrial Internet of Things (IoT) will break through, as organizations increase the number of deployments and integrate IoT technology into their products, processes, and workflows.

Another expectation is that the Internet of Things will improve production processes shortly and offer solutions in areas such as the environment, safety, health care or education.

  1. Blockchain Between IoT Devices

In many cases, IoT devices collect data and send it to a central data center. However, that takes a lot of bandwidth, space and time. As more and more IoT devices become smarter and no longer send data to central data centers, they work with other IoT devices to share data.

Safety also plays an increasingly important role. The tools are smarter, not only able to send data and perform actions, but can also process data from other devices without the need for a centralized computer. For example, in a smart home, the thermostat detects movement in the room using a motion detector and can set the heater higher or lower as the person leaves the room. For this, no central office is necessary.

  1. Smarter and Better Devices

Whether it is an Internet of Things, Connected Devices or otherwise, it concerns devices that are connected and increasingly exchange information with other devices. The magic word for all these devices (because they are getting smaller and smaller) is ‘smart.’ Smart cars, smart watches, smart thermostats, smartphones: everything is equipped with more and more sensors and software that make life easier, safer and healthier for us.

Individually these devices are getting smarter and smarter but connected to the internet, and together they are becoming even more interesting.

  1. Data Governance

Now that almost everyone is drowning in their own ‘Data Lake’ (will we come up with a better name for this in 2019?), attention is gradually returning to what it is all about: the data itself! And fortunately, more and more organizations recognize the value of this data and recognize that data is an ‘asset’ that needs to be actively managed. Companies will turn to advanced apps created in JD Edwards and other programs to manage massive amounts of data across various databases.

That starts with knowing what you have; a good data catalog and good metadata management. Only then can we talk about data quality, data integration and the use of this data in all kinds of ways. Data governance, in other words. A dusty concept from the 80s? No: one of the hot topics of 2019!

  1. Machines Learning

Many people think of Skynet, the destructive computer brain in Terminator films, as a frightening term for ‘machine learning’ and ‘artificial intelligence.’ People like Elon Musk (Tesla) and Ray Kurzweil also warn us about the increasing intelligence in computers/robots and the potentially disastrous consequences thereof.

Think of self-propelled cars and other smart devices like household robots or, a little closer to home, automatic vacuum cleaners and lawnmowers. Machine learning also helps us to tailor our offer 1 to 1 to a specific customer or to secure the payment system by recognizing deviating payment patterns.

The basis behind all these developments is the ability to learn from data, to derive models and to take follow-up action on this basis. This can be giving an outcome or advice, but in the case of that car, it can also result in an emergency stop because a child is on the way.

The downside of all the developments outlined above is the increasing vulnerability of the digital ecosystem. Last year almost all major banks were unavailable for one or more times for several hours or even days.

Cars that have suddenly become uncontrollable as a result of a hack have also received the necessary press attention. Many of the systems that make our lives easier are not designed to do this safely. Because more and more computers and devices are connected to each other, it is becoming easier for malicious parties to abuse them.

Fortunately, the developments described earlier also help a bit. By using streaming analytics in a network, suspicious patterns or transactions can be recognized immediately, and countermeasures can be taken directly.