IoT & Automation

Data stored in the IoT can be used for nearly everything so long as people are creative enough to find the uses. A hot- topic in the world right now is global warming and saving the environment. IoT is here to help. The data in the IoT is a wealth of knowledge from devices around the world. The information is then viewed and sorted so users can make smart choices on difficult decisions. Here’s a look at five ways the IoT might be able to contribute to the future of going green.

The Internet of Things (IoT) is projected to grow significantly over the coming years. This growth is being driven by the promise of increased insight, enhanced customer satisfaction, and greater efficiency. These benefits are made possible as sensor data from devices and the power of Internet-based cloud services converge. One of the key concerns related to the successful adoption of the IoT is having sufficiently strong security mechanisms in place throughout the ecosystem—to mitigate the increased security risks of connecting devices to the Internet.

The current consumer IoT device landscape is still immature. For consumer IoT devices to thrive, device management capabilities need to evolve in a few ways. Effective device management is critical to establishing and maintaining the health, connectivity, and security of IoT devices. Effective device management is critical to establishing and maintaining the health, connectivity, and security of IoT devices. What consumer IoT needs is a truly open IoT device management ecosystem.

Big data and IoT are entwined. How? Every device around us is connected to the cloud, sharing every minute bit of our data. Smart farming, e-health, smart retail, smart home, smart cities, smart environment are few applications of IoT in today’s world. A lot of data is generated from these applications that industries gather with the aim to improve their business workflows, enhance customer experience, and stay relevant in the ever-increasing competition. This means that IoT directly impacts data, making it swell in size, and companies should leverage new-age technologies to draw accurate insights from the data to make informed business decisions.

The BYOD (bring your own device) issue gives IT managers and internet security contractors plenty to fret over. Ninety-five percent of the data breaches we see involve BYOD. And most of them are totally well-meaning employees who don’t know they’re doing anything wrong. What is the core of the BYOD dilemma? People are so plugged in that they go almost catatonic if you take their smartphones and other devices away. In a competitive labor market, you’d better have some pretty sweet perks to compensate for the deprivation.

While IoT can open up a plethora of opportunities, implementing the concept on the existing objects for smart interaction is not an easy task. As IoT is in its early phase of adoption and the technology has not yet grown to accommodate a superior level of connectedness, as popularized by tech enthusiasts or the mainstream media, it is imperative to keep realistic goals for implementing successful IoT solutions. While there are many challenges in developing a feasible IoT solution, the rapid advancements in technology can propel the IoT development.

Keeping the retail business, employees, and customers safe is the biggest priority of a business owner. Your products aren’t the only things at risk of being taken. If you have customers using credit and debit cards or shopping online, you’re collecting their information and creating a new target for thieves. Threats come from all sides, not the least of which being theft. The sad truth is that cyber attacks are inevitable. The best thing you can do is put up defenses to guard against hackers and comply with laws to protect your employees and customers alike.

The Internet of Things and artificial intelligence are deeply connected. IoT systems produce big data, whereas, data is the heart of AI and machine learning. At the same time, as the rapid expansion of connected devices and sensors continues, the role of smart technologies in this space is growing too. Today, the applications of computer intelligence in IoT products vary. In this article, I’d like to focus on a specific domain of AI – Natural Language Processing.

There is a paradigmatic shift in the way digital is becoming part of our life: from digital payments, to the way we shop or even interact with each other. Today, there are millions of connected devices, smartphones, as well as Internet users. Such is the extent of this digital revolution. This is bound to have far-reaching implications for organizations as far as cyber security is concerned. Artificial Intelligence can provide the requisite sharpness to ward off IoT security issues.

If your organization is planning to leverage the Internet of Things (IoT) to gather data from products and systems, see how goods are performing in the field, enhance factory production, or any other reason, it needs to become familiar with the concept of the “digital twin.” A digital twin is a digital replica of a physical asset, process, or system that can be used for a variety of purposes. The digital twin is intended to be an up-to-date and accurate replica of all elements of a physical object for which sensor data is available. 

The convergence of IT and OT dramatically alters investing activities in corporate development. We’ve been seeing a new type of acquisition by large, vertical-specific OT players acquiring ventures focused on vertical industries. The new digital trajectory of OT affects the strategic investment considerations of a corporate development leader in OT or IT and the strategy of an entrepreneur. How do you align the new target’s investments with internal business unit’s goals? Is the new technology enabling multiple internal businesses? How should it be structured and measured internally if acquired?