TMCnet Feature Free eNews Subscription
March 19, 2020

IoT and Machine Learning Technology



Since the turn of the millennium, more and more of our everyday activities are being digitized. This is just as true in enterprises as it is in our personal lives. Communications, recordkeeping, scheduling, and other tasks that once required the painstaking organization by hand are now performed by an increasingly diverse array of digital devices.



MCA Connect has seen the many ways businesses are harnessing the power of digital technologies. Smartphones have become so ubiquitous that they are all but required to accomplish even the simplest social and economic activities. Together with the increasing number of other smart appliances, wearable devices, next-generation vehicles, and other internet-connected devices, smartphones are helping to build the “Internet of Things” (IoT).

The Growing IoT

The “Internet of Things" helps people and businesses live and work smarter by connecting all of our smart devices together. It is a massive network that includes a vast array of technologies, not just personal computers. IoT devices include things like smart assistants and appliances currently used in homes,  as well as a growing diversity of customized devices for healthcare, finance, retail and manufacturing, labor, transportation, agriculture, government and military, waste management, energy, and other specialized industries.

MCA Connect has witnessed professional services and industries transform as a result of the IoT. In 2020, we will be using an estimated 24 billion internet-connected devices worldwide. This works out to about four devices for every human on the planet. The proliferation of these devices creates incalculable opportunity for improved economic, social, and personal wellbeing. As the availability of broadband internet increases — particularly with the introduction of 5G — these devices will only become more and more capable.

The massive network created by Internet of Things is both challenging existing standards in internet technology and creating new opportunities for complex computing applications. Tech insiders like the professionals at MCA Connect keep their fingers on the pulse of key computing trends that may one day shift to the IoT. And if the MCA Connect team were to wager on the next massive breakthrough in computing, they would be putting favorable odds on the development of artificial intelligence and machine learning technologies.

Machine Learning Drives the Future of Artificial Intelligence

Modern machines harness Artificial Intelligence (AI) to perform functions that mimic human cognition in a number of useful ways. For example, modern smart devices are capable of recognizing our voices, faces, and other information that personally identifies us. MCA Connect recognizes that this type of AI-powered software is changing the way we live, work, and engage with others — particularly as AI applications grow more sophisticated.

If AI is going to keep up with the increasing demands society and the economy is placing on it, tech innovators like the forward-thinkers at MCA Connect need to keep driving progress. Specifically, we must find a way to teach machines how to learn increasingly complex tasks themselves. Machine Learning (ML) provides a means by which a virtual application can teach itself how to perform a specific task without requiring specific instructions. MCA Connect has seen a wide array of customized ML applications for business intelligence and other applications. All in all, the versatility of ML solutions has made these applications highly in-demand.

Growing Demand for ML Applications

ML applications use mathematics to derive patterns from massive sets of data. ML applications are growing more sophisticated and complex to meet growing consumer, academic, and enterprise demands. As they do, MCA Connect has seen ML models become more demanding with respect to both data and processing demands.

The MCA Connect team keeps up-to-date on ML research, and it suggests incredible potential for this technology. However, even the most complex AI applications still struggle to reflect the complexity and unpredictability of tasks that humans must grapple with every day. As a result, there is plenty of room for growth in the exciting and dynamic fields of AI, ML, and distributed computing across the IoT.



» More TMCnet Feature Articles
Get stories like this delivered straight to your inbox. [Free eNews Subscription]
SHARE THIS ARTICLE

LATEST TMCNET ARTICLES

» More TMCnet Feature Articles