Solutions for Disaster Recovery that Protect Smart Cities

Based on a statement from Gartner, a technology research and advice firm, there are roughly 2.3 billion connected things smart cities such as New York, Tokyo, and London use. Compared to 2016, that number represents a 42 percent increase. Soon, smart cities will be the catalyst behind an economic boom and improved quality of life for people living in them.

As the backbone of smart cities, it is imperative that data centers and colocation sites have the right disaster recovery solutions in place. Not only will this ensure flawless connectivity and top data security but also public health and safety.

To streamline city services, smart cities rely on rich data in real time. Software, hardware, and geospatial analytics can improve on livability and municipal services. With enhanced sensors, the Internet of Things (IoT) can reduce the amount of energy consumed by street lights and preserve resources by regulating water flow.

Due to the location of many smart cities, as well as other potential risks, disaster recovery cloud services are vital. Disaster recovery providers protect power and communication caused by power outages, floods, and even cyber attacks. To continue reading and visit source click here.

Read More

Benefits of Integrating the Cloud and AI

There are many benefits of integrating the Cloud and AI. As for AI, it touches every industry around the globe. As part of this technology are machine learning, deep learning, computer vision, and natural language processing (NLP), which give computers faculties that mimic humans such as seeing, hearing, and even deductive reasoning.

Many enterprises need to process a tremendous amount of data efficiently, quickly, and accurately. Therefore, they depend on AI-capable colocation data centers. The need for enterprise AI applications is growing so fast that one research company predicts revenue will reach the $31 billion mark within the next seven years.

For predictive analytics programs, the top industries include education, health care, financial, and telecommunication. The goal is to target new business opportunities and improve the customer’s experience. A perfect example is a bank that uses an AI system for tracking information about credit card transactions. With pattern recognition, this bank can identify fraudulent acts.

A Unique Relationship

Cloud computing facilitates much of the progress in AI and machine learning. With massive data to analyze, Cloud computing is now more critical for delivering AI solutions. Along with prominent Cloud platforms such as Google and Microsoft, several smaller ones are integrating AI technologies.

With a unique relationship, the Cloud delivers data learned by AI systems. At the same time, AL provides information that expands the data available to the Cloud. For improving storage, computing, and other Cloud services, AI will become even more critical than it is now.

Data center colocation providers and the Cloud work like a well-oiled machine. Data center colocation services will continue to provide an infrastructure strategy for a host of companies, while AI will keep integrating with the Cloud, which will increase the need for colocation services.

Telehouse CloudLink, a connectivity exchange for customers with multiple Cloud providers, guarantees a safe and private connection between company networks and Cloud services.

Read More