We are able to turn on the lights in our homes from a desk in an office miles away. The built-in cameras and sensors embedded in our refrigerator let us easily keep tabs on what is present on the shelves, and when an item is close to expiration. When we get home, the thermostat has already adjusted the temperature so that it's lukewarm or brisk, depending on our preference. These are not examples from a futuristic science fiction story. These are only a few of the millions of frameworks part of the Internet of Things (IoT) being deployed today.

Machine learning is becoming more important in our daily lives. But most of us probably never envisioned a day when it would be important in online dating or the beginning of new relationships. A growing number of video chat services are utilizing machine learning features in interesting ways. MarTech Series published an article last year on the growing relevance of machine learning in video conferencing. The same principles can be just as applicable to video chats with online dating services.

UiPath came into being in the year 2005. And the people behind this company were Marius Tirca and Daniel Dines, two Romanian entrepreneurs. Today, UiPath has a global reach and is famous for the platform it has created for Robotic Process Automation (RPA). Although it began operating from Romania, it opened its branches in Tokyo, Singapore, Bengaluru, New York, and London soon. This company, headquartered in New York, has a wide loyal client base today.

As the cyber threats become more advanced with each passing year, so should the technologies that businesses implement to elevate cybersecurity and prevent cyberattacks and data leaks. The modem hacker is smart and cunning, and they will try to exploit every possible loophole in your firewall and security structure to gain access to your IT infrastructure, tap into your data centers, and sell all of that valuable information to the highest bidder. Most importantly, understand that the modern hacker has all of the sophisticated tech and software needed to enter your system. This is why forward-looking companies have begun implementing AI and machine learning into their strategies in order to strengthen their cybersecurity as a whole. Let's explore the five important benefits that AI brings to the table, and how your business can benefit from its implementation when it comes to cloud security.

As the cyber threats become more advanced with each passing year, so should the technologies that businesses implement to elevate cybersecurity and prevent cyberattacks and data leaks. The modem hacker is smart and cunning, and they will try to exploit every possible loophole in your firewall and security structure to gain access to your IT infrastructure, tap into your data centers, and sell all of that valuable information to the highest bidder. Most importantly, understand that the modern hacker has all of the sophisticated tech and software needed to enter your system. This is why forward-looking companies have begun implementing AI and machine learning into their strategies in order to strengthen their cybersecurity as a whole. Let's explore the five important benefits that AI brings to the table, and how your business can benefit from its implementation when it comes to cloud security.

Artificial intelligence has replaced big data this year as the most talked about new set of technologies. As with big data five years ago--behind the hype, the confusion generated by an ill-defined term, and the record funding by VC--we are starting to see emerging investments and practical applications where it matters most--in enterprises. A new report from Narrative Science, based on a survey of 235 business executives conducted by the National Business Research Institute (NBRI), sheds light on the state-of-AI in enterprises today and in the future: 38% of enterprises are already using AI technologies and 62% will use AI technologies by 2018. Keep in mind that "AI technologies" is a broad term that includes machine and deep learning, recommendation engines, predictive and prescriptive analytics, automated written reporting and communications, and voice recognition and response. Big data has spawned the current interest and increased investment in artificial intelligence.