The convergence of cloud computing, data science and now DevOps is perhaps the greatest revolution in technology to be witnessed ever. By the look of things in smart home robots, smart homes are taking on the world with rage. Berg Insight projects that by the year 2022, at least 63 million American homes will have adapted IoT (Internet of Things) as an important aspect of their day-to-day lives.
In line with this, attention is set to shift to robots, like iRobot’s Roomba vacuum cleaner, which already has a special place in today’s smart home.
The Smart Home Overview
In a smart home, appliances operate from an app installed on a smart device using IoT (Internet of Things) powered technology. This way, human involvement in performing tasks around the home is reduced as automated appliances take over making life easier, less tiring, and perhaps cheaper for humans. In this home, tasks like cleaning, cooking, switching the lights on or off, and heating are no longer performed by humans and have been left to appliances.
The smart home technology has gone a notch higher to incorporate voice recognition technology and then a step further into artificial intelligence so that smart devices can now learn more about us and anticipate our needs to meet them appropriately. Therefore, when your home turns out to be warmer than usual on an extremely cold day, the heater must have already detected that your body felt unusually cold and so readjusted to produce more heat.
The Smart Home Robots
Robotics is no longer an aspect of industrial and manufacturing spaces. They have penetrated homes and have become a part of human life. The forecast for growth in demand for service robots built for personal and domestic use between the years 2016 and 2019 was projected at not less than $22 billion. Robots go beyond appliances. They are intelligent and will operate with an intellectual capacity almost the same as humans.
Role of DevOps, Cloud Computing and Data Science is smart home robots design
Efficient robots are controlled by apps. By employing DevOps, cloud computing, and data science technologies in their production, manufacturers have built upon the value of models to produce efficient robots and efficiently at that. However, each of these technological elements has a special role in designing the home robot. First things first, the value of a robot is pegged, more than anything, on its operational efficiency.
Role of Cloud Computing in Smart Home Robotics
As IDC FutureScape projects, by the year 2023, up to 40% of G2000 manufacturers will have connected 30% of their robots to the cloud platform as a way of enhancing efficiency. The cloud presents the best platform so far, for the efficient operation of not just robotic applications but also most others. As it is, cloud computing, robotics and most recently, cloud robotics are emerging trends that will play an important role in shaping the future of technology and specifically smart home technology.
Cloud robotics refers to the application of cloud computing technology to the robotics field. This comes with tremendous benefits, including:
- The cost factor. If manufacturers were to own and maintain the kind of infrastructure that can support robotics design and processes effectively, they would have to dig deeper into their pockets to do this. On the other hand, having a human workforce to perform these same processes would be costly but not cost-effective, given that the concept of service robots is gaining traction fast and the demand increasing. The cloud platform presents a more cost-effective option since it reduces the cost of human labor and hardware acquisition and maintenance capital.
- Performance. Cloud computation or processing power is more efficient and much faster compared to physical data centers. With time, smarter and lighter robots will emerge thanks to the fact that its components will be stored in the cloud.
- Collaboration / communication. Among the major benefits of cloud computing is the ability of robots to collaborate or communicate with external servers. This is because this technology runs over the internet, and therefore location is not a limiting factor. With cloud computing, owners can communicate, delegate tasks, and even perform other set-up tasks remotely.
- Scaling. The cloud has often been referred to as elastic to mean that scaling up or scaling down could be done easily and on-demand without incurring unnecessary cost.
Role of Data Science in Smart Home Robotics
As we have seen, the underlying concept of designing domestic robots is efficiency. The cloud has already played a huge role in hosting the complex operational aspects of smart home robots. However, without the data science function, achieving efficiency will remain to be an elusive objective.
The future of robotics lies in smart process automation. This process is pegged on big data, machine learning, artificial intelligence, and cloud computing to design efficient models while also bringing about operational efficiency. And because AI is central to robotics, data science insights will certainly play a huge role in the automation and operational improvement of processes. Insights and analyses from data collected from smart homes are the basis upon which better more intelligent robots are built, and services improved.
With the data science function well in place, diagnosing problems relating to how robots operate will be faster and easier enough to allow corrective measures to be applied in time. Data science applies to all aspects of smart home robots right from the R&D phase.
Role of DevOps in Smart Home Robotics
The term DevOps is a term derived from two words, development and operations. Things that come to mind when the term DevOps is mentioned are collaboration, efficiency, and speed. These are the very things that matter in smart home robots.
DevOps comes into play in the development of the applications used in delivering services through smart home robots. While the cloud offers a robust platform for the efficient performance of applications, DevOps builds on the culture and practices that give way to effectively automated space and well-collaborated culture which in turn facilitates a faster release cycle of applications. Hence combining cloud and DevOps technologies improve performance by 81% according to CA Technologies Study.
DevOps coupled with big data analytics are two elements that play a critical role in the robotics process automation (RBA) which is a trend to watch out for in the robotics space.
Is it time to Consider a Career in Cloud Computing
If you are in the IT field, the time is ripe to pursue a career in cloud computing. Cloud computing has become an integral aspect of digital operations the world over. By the year 2021, the cloud services business will be worth $300 billion. Many other career opportunities will spring up as businesses migrate their storage and operations to the cloud.
However, it takes the right skills and experience to succeed in carving a career path in cloud computing. But before that, you need to have enrolled for a course in cloud computing with a reputable study provider.