Big Data and Artificial Intelligence Technology – The Future

Written by Aara Jones
2 · 28 · 18
Big Data and Artificial Intelligence Technology

Machines are the future of technology. It is, in fact, the future of everything we do in the future. Perhaps to be more specific, intelligence technology is the future! It involves everything from learning to managing data, shopping and entertaining ourselves. Our mission is to explore these promising new technologies. We aim to develop solutions that will add value to our quality of life. Solutions for overall productivity of a global society. These are huge ambitions. However, they reflect our commitment to translate these emerging technologies into viable solutions to our everyday problems.

It might seem to o big of a challenge at first, but the Intelligence Technology revolution is imminent. It is a matter of just a few years from now. Concepts like machine learning, augmented reality, robotics, and quantum computing will drive the devices we use. They will influence the services we enjoy. When we think of it, there is nothing that we have not already seen before.

After all, only a few generations ago, we adapted to the mechanical age and later to the age of electronic machines. This is simply the next logical step in our journey towards progress. We welcome everyone, students, entrepreneurs, technologists, researchers, and policymakers to join us. We chart our course towards a bright future for humanity.

Whom Does Intelligence Technology Help?

We are continuously investing in developing cutting-edge technologies such as big data, artificial intelligence, robotics technology, and virtual reality to bring about tangible improvements in the daily life of farmers, students, policymakers, educators, businesses, and consumers.

Using sensors, big data processing, and AI technology, we are making it possible to make accurate weather and demand predictions to plan crops more efficiently.

In the domain of governance and policymaking, we are exploring the potential of big data and AI to analyze data relating to demographics, population, urbanization, unemployment, and crime to assist policymakers and legislators to create better governance systems and policies.

Gamification is one of the most exciting areas where we remain focused. This Intelligence Technology can help businesses engage more deeply with their customers and employees. This technology involves the incorporation of game playing norms and conventions to organizational processes.

Our technologies aim at revolutionizing the way people learn and teach. Mainly using virtual and augmented reality, we are developing educational Intelligence Technology that can liberate our students beyond the confines of the classroom. Our technologies give students the freedom to exercise their creativity and support educators in developing customized, engaging learning experiences for students.

We also work in the area of gaming to make it possible for people to enrich their leisure time and become mentally refreshed. With AI, VR, and AR, we are investing in designing exciting games that immerse the gamer into the virtual environment.

All of these achievements depend on how effectively we leverage these emerging technologies. Let us discuss what these technologies entail and how they have been using them in different domains.

Big Data

Big data is a term that generates a lot of excitement among researchers, government policymakers, and educators. We work with technologies, which enable us to employ sophisticated data analysis techniques on a very large volume of data to extract meaningful results. However, isn’t this something that we have been doing all this while? Well, we have. Nevertheless, in recent years, big data analysis has become mandatory. There is an emergence of complex data capture methods and the increased costs of mistakes. There are many benefits of using big data and modern technology to make decisions and policies.

Thanks to big data, our predictions regarding human behavior can be more accurate. We can mine greater volumes of data. Perhaps, we can even process natural language to extract meaning. For example, using big data analytics, we can help your business to predict which products will enjoy an increase or decrease in sales within a specified period. We can predict the results of elections and political campaigns with greater accuracy. Like it was in the case of Obama’s 2012 victory in the US elections.

AI and Automation

As far as tech industries are concerned, AI and automation seem to be the most current buzzwords. These industries are part of the revolution that has gripped the imaginations of the world and is promising to transform the ways in which we consume services and products. In fact, the implications for even our most fundamental social relationships and structures are profound and exciting at the same time.

AI and automation bring with them loads of apprehension, especially where job losses are concerned. According to a prediction by McKinsey, automation may lead to the elimination of 800 million jobs globally by the year 2030. However, the gains in efficiency due to Intelligence Technology will help to conserve resources and costs that were ultimately borne by society. AI, in particular, will make it possible to facilitate machine learning as well as natural language processing thereby transferring even complex tasks to computers.

Gamification is also a natural outcome of the growth of AI since routine managerial decisions. Moreover, processes can now be carried out by computers. In the midst of this turbulence, the key skills that will remain relevant in the coming years will be emotional intelligence and labor as well as creativity. Computers may be a long way off from resembling anything close to the human capacity for thought, analysis, empathy, and creativity, but we seem to be moving in that direction.

Our job should be to focus on how these skills can support the new technologies and make them relevant to the next generation of workers and consumers.

Machine Learning

Machine learning is one of the key areas where we offer value and convenience to our clients. This technology is the newest frontier in Artificial Technology or Intelligence Technology. It offers direct, quantifiable benefits to businesses in their marketing operations. We develop solutions that enable us to study the online behavior of your audience and direct marketing messages in a more targeted, focused way. Through machine learning, you no longer need to use a machine-gun approach in your marketing messages. In fact, you can customize each message exactly according to the browsing and search behaviors of your audience. This means that there will be messages that are more relevant and without unnecessary details.

Machine learning lies at the heart of the price determination algorithm of Uber and other popular ride-sharing apps. These apps use machine learning to predict the needs of different riders accurately in order to avoid the need for surge pricing. These predictions depend on sifting all the historical data about previous rides and frequent locations.

Augmented Reality

Augmented reality is another emerging technology that promises to revolutionize the way consumers browse, assess, and decide to purchase any product. The technology is still in the developing stage and we are at the forefront working to make augmented reality more user-friendly and capable of being accessible through multiple platforms, including smartphone devices.

The basic function of augmented reality is to enable the user to blend the real world and the digital world through technology. With augmented reality, the user can project a virtual image in a physical environment. This can enable them to test the placement of any product such as furniture, cars, or any large or small items within the intended physical environment. This would eventually help them make more an accurate comparison between different products as well as the convenience of placing or using them in their home or office.

An excellent example of augmented reality in the retail sector is the Converse Sample app. It allows shoppers to transpose an AR image of any shoe on their foot simply by aiming the phone at their feet. IKEA also has its own AR app to help buyers estimate the space taken by a certain piece of furniture in their home.

Robotics Technology

Interest in robotics is universal. For decades, human beings have been fascinated with the concept of a robot doing all the work that humans could. Almost two decades into the twenty-first century, this field continues to amaze us with its commercial growth and scope for technological development. By 2024, according to estimates, the global market for robotics will go beyond USD 130 Billion. The greatest expansion will take place in industrial technology and service sector robots. Hence, manufacturing and service sectors will likely experience a surge in automation and efficiency in operations.

We also predict a corresponding expansion in supporting industries such as metals, chemicals, rubber, plastics. Furthermore, the sectors that will grow exponentially with the development of robotics and implementation of Intelligence Technology include security and defense sectors, logistics, and entertainment.

Cloud Technology

Cloud technology is somewhat of an established technology. However, new developments continue to excite our senses. They create new opportunities for value creation in business management, security, and education sectors. According to Microsoft, cloud technology may be our best bet to overcome data and system security threats in the twenty-first century. We work at the cutting-edge of this revolutionary technology by making it possible for our clients to develop centralized data management and control policies. Cloud technology creates robust defense systems. It is more responsive to security threats and incidents and ensures efficient access to data throughout the organization.

Cloud computing represents the success of the Software as a Service (SaaS) model. In 2018 and in the next few years, it is possible to see a number of big acquisitions by the movers and shakers of the Information Technology industry. Aimed at consolidating their leadership position by acquiring cloud service providers; these companies represent the future of consolidated SaaS and application providers.

From our perspective, cloud computing is a dynamic technology and rapidly evolving arena. We have already witnessed the emergence of public and private, as well as hybrid, clouds. But we are also sitting on the cusp of more innovative technologies such as the multicloud and dark cloud. The expansion of global new entrants like Alibaba also suggest the wide opportunities available to the most efficient service providers.

Quantum Computing

Perhaps people are not pursuing any other high-tech trend as aggressively as quantum computing. To put it simply, quantum computing aims to take the processing capacity of computers to the next level. This will happen by applying the principles of quantum mechanics. These principles have opened up our eyes to the fact that classic computers are no longer ideal for solving the complicated problems that we need to take scientific progress to the next level.

We are working in quantum computing to solve some of the most pressing issues of the 21st century. Foremost among these is security. As quantum technology gains traction, current data security and encryption methods will no longer be useful. This will create demand for new skills and new jobs for quantum encryption specialists. Quantum computing will influence financial institutions, retailers, defense forces, and security companies.

Artificial intelligence is also poised to gain from the progress in quantum computing. AI machines can benefit from faster and more complex analysis of data, which is not possible with traditional computers. The capacity to self-learn and correct their own mistakes will increase greatly after the introduction of quantum computing. Especially in the field of pharmaceuticals. Developing new drugs will become extremely easy. It will involve undertaking an analysis of every possible complex interaction between drug molecules and human tissues. The possibilities for pharma researchers are endless.


So what does the future hold for us, and for technology? Many good things, we believe. Looking at the past, we find that technology has made possible many of our best achievements. This includes space travel, medical breakthroughs, and increasing our productive capacity globally. More importantly, it has brought the global community together.

What will the next phase of Intelligence Technology development be? It will be about quantum computing, robotics, automation, virtual reality, augmented reality and big data. We believe that things will become more complex. But at the end of it, we will find ourselves in a more empowered and beneficial state. Be it in the domain of increasing our industrial and agricultural output. Be it designing better services, and enhancing the quality of education. We are sure that our continued investments in these technologies will pave the way for a glorious and liberating future for the global community.

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Aara Jones