Thingalytics

Thingalytics explains how to use real-time analytics and algorithms to take advantage of the IoT and mitigate threats.

This combination manages and integrates the scale, speed, and variety of data from the growing number of information sources represented by the cloud, mobile, IoT, and social media, among others. Using the best buyers, Banks, and drinks in the world surveys in Algorithms to understand the opportunity to hold the chance in the IoT.

These are opportunities for what the Internet of something

A) It provides space for new companies: "as any device of the Internet, it allows new companies to study (and take space) of the digital data.

B) Machine learning can now be applied to a wide range of data: "Driving cars is just one example of machine learning. It is used in countless applications, including those that predict fraud, identify terrorists, and recommend the right products to customers at the right time. , and accurately diagnose patient symptoms to recommend the right medications.

C) Powerful computers and research opportunities: The concept of machine learning has been around for decades. What is new is that it can be applied to big data. Inexpensive data storage, distributed processing, more powerful computers, and available research opportunities have increased interest in machine learning systems.

D) Organization of the point of sale through helpful analysis:

At the point of sale, the website collects data such as purchase history and customer profiles to provide recommendations, such as the buyer's automatic sales will happen. Configuration through automatic surveys on research, millions of browser and profile systems.

E) large data check: you don't ask about the effects of data; The facts are always reported. Apps are more important in terms of response. When rewriting data arrived, technology will be a message, and the determination of the model has something about business.

F) Internet reviews: The difference between engines checking the database is that the first focus on something and works regularly. Unlike a database, a flow analysis engine can be programmed to take autonomous action, immediately leading to a decision upon detecting a problem."

G) Rapid acquisition and integration of big data: Dr. John Bates recommends a "highly scalable messaging architecture to broadcast real-time events; to support communications between multiple broadcast engines; in-memory caches and tables of visual edges; and to communicate events to applications. This architecture requires adapters to connect to common APIs, such as the Machine-to-Machine Connectivity Protocol (MQTT)."

H) Cloud: The optimal strategy for navigating these peaks and troughs is for the platform to run in a cloud with the ability to automatically provision computing resources in response to changing load. In the coming years, more and more research systems, along with the data they analyze, will be available in the cloud. "

Conclusion

The Internet of Things is about digitizing everything in the real world and bringing it to the Internet. In some cases, Dr. Bates says the technology is new; for example, washing machines that we can control remotely and that can send us messages when the washing process is complete and let us know when they are about to shut down. In other cases, it has been closed for some time; for example, digital product marketing data that we may share, allows us to keep track of our sales electronically. The Internet of Things brings together these current digital data streams (marketing, news, weather) and social media (Twitter, Facebook), as well as data sources from real objects. As the number of "things" connected to the Internet exceeds the world's population, Thingalytics explores how the Internet of Things (IoT) can save lives, stop fraud, and reduce global carbon emissions.

"In simple terms, the Internet of Things represents an emerging reality where everyday objects and devices are connected to the Internet, possibly wirelessly, and can communicate with each other." The universe, in which these intelligent objects have a network of "Things" is called the "Internet of Things". By implementing digital technology with intelligent machines, businesses can benefit from higher levels of productivity and eliminate human error, thereby reducing costs and increasing revenue.