Data breaches at major organizations are continuously raising cybersecurity concerns. But, understanding the anatomy of a cyber attack can help in finding methods to potentially reduce the impact of cyber threats.
In a world increasingly reliant on storing data virtually, hackers turn into more and more of a threat. As a result, cybersecurity becomes more of a necessity by the day. Since 43% of all cyberattacks are aimed at small businesses, it is safe to say that anyone could become a target.
The Internet of things (#IoT) is one of the most exciting trends in the recent history of technology so far. As connectivity, storage, and compute become more universal, we’re seeing an explosion of IoT solutions, from health care to public safety, all pointing towards one conclusion: The IoT is here to stay. As with any other trends in technology, it’s starting to require a new generation of platforms, standards, regulations, and protocols to name few.
The Internet of Things (#IoT) as a concept is fascinating and exciting, but the key to gaining real business value from it, is effective communication between all elements of the architecture so you can deploy applications faster, process and analyze data at lightning speeds, and make decisions as soon as you can.
No one feels the pain of making sure manufacturing business processes run smoothly than the plant or facility manager of a modern factory. The buck stops with them to ensure quality products get out to market inexpensively and on time. When it comes to ensuring no product defects leave the factory, facility and plant managers are goalie, guardian, and Gandalf.
The possibilities that IoT brings to the table are endless. #IoT continues its run as one of the most popular technology buzzwords of the year, and now the new phase of IoT is pushing everyone to ask hard questions about the data collected by all devices and sensors of IoT.
To unlock the real potential of data, organizations have to work around it intelligently; else they will have to face the perils of mishandled data. And this is why data culture matters!