Oh, the brilliant world of AI; it’s finally upon us. The world around us is experiencing a transition through unparalleled intelligence. What was written about AI in academic, research articles from the start of the 21st Century is finally starting to be true. Artificial Intelligence is making us, humans, and our ecosystems intelligent. And, in this passage of unprecedented growth and maturity, the onus to drive innovation falls upon us. AI might seem like a frontier that humans have mastered; a battle won, but there is still much to be conquered in this regard. The need for innovation is as imperative as it was a few years back; it’s the drivers influencing it that have changed.
In this article, we look at the factors driving innovation within the digital world. AI is in a world of its own and is making rounds today, based on the room for innovation it offers. We look at that innovation and much more here.
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Changes Impacting AI
Leading research institutes predict that we will see more than 40 billion personal smart devices in the world by 2025. More than 90 percent of these devices will come with a smart digital assistant within them. Data utilization will be upwards of 85 percent and Artificial Intelligence will be readily available around us, as prevalent as the air we breathe.
However, to reach that desired climax, mankind needs to adapt to the changes in AI and get the innovation coming. There are certain changes that need to be implemented for creating the AI revolution that we desire for the future. The Artificial Intelligence of the future can only be handled by faster models and newer algorithms. Thus, we do realize that the biggest change we need in the AI infrastructure of today is the introduction of better model training and latest algorithms. These changes will act as a conduit to help achieve the others.
Additionally, the future of AI needs abundant computer power to manage the numerous models running concurrently. This computing power needs to be affordable ad readily available. Besides this the changes that will impact the future of AI include automation in AI, user privacy, practical application and a real-time, closed loop system.
Finally, nothing can be achieved without the right talent and platform, which is why all of the above needs to be incorporated through multi-tech synergy inside a platform being managed by the top talent. By top talent we mean AI specialists that know their way around what they are doing.
AI’s Impact across Industries
It is quite clear by now that AI will have quite an impact on all sorts of industries across the globe. The automation and the efficiency AI provides can be implemented across a whole lot of industries.
The biggest potential of AI lies in city management. This includes the addition of smart buildings and traffic management. Traffic management through AI will not only make cities efficient, but will also ensure a smooth flow of traffic across the clock. Moreover, the addition of personalized education methods will improve the end goals for both teachers and students.
Moving on to healthcare, AI has the potential to help with early prevention and precision treatment. The preciseness of the treatment, coupled with early prevention will drastically increase life expectancy in humans. Additionally, AI has the potential to facilitate real time communication between people speaking different languages. The system offers real-time translations, helping multi-lingual, diverse groups communicate with each other.
The use of AI in precision drug trials will significantly cut the cost of testing and discovering new medicine. Research and Development is perhaps one of the biggest expenditure for a pharmaceutical company, which is why they can expect increased revenue with the implementation of AI. Moreover, we can also expect greater efficiency in telecom networks with O&M becoming the norm. And, finally autonomous, self-driven cars will act as a true indication of the widespread implementation of AI across industries.
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Key Elements Driving the Future of AI
There are certain key elements that drive the future of AI and the service that it can provide us. These elements include the following:
Investing in AI research
Artificial Intelligence research is imperative for the future. There is always room for improvements, further additions and what not. The role of research here is quite important, as it helps data scientists expand the horizon of AI.
This will also include the development of domains like natural language processing, computer vision and decision making in machine learning capabilities. This research will help create a power-efficient and secure setup that runs autonomously.
Building a Full-Stack AI Portfolio
A full-stack AI portfolio refers to the creation of an ecosystem that best facilitates AI in the future. This includes the delivery of abundant and affordable computing units. Moreover, this also ensures the provision of an up-to-date AI platform that has full pipeline services. Finally, the portfolio should be made adaptive towards all scenarios; cooperative and standalone scenarios between edge, device and cloud.
Developing an Ecosystem
This means partnering with global industries, partners and academia to develop a wide ecosystem of industrial talent.
Strengthen Existing Portfolio
This relates to the introduction of innovative services and goods to the current AI mindset and techniques. The current AI portfolio should also be developed for the future.
Driving Operational Efficiency
One reason why most industries fathom the use of AI is to increase operational efficiency by incorporating methods of AI.
What is a Full-Stack Approach?
A full-stack approach is the latest method of managing Artificial Intelligence and extracting its full potential. This approach relates to creating an ecosystem of different platforms and computing power to ensure that you get the best out of AI.
One can take the example of a child’s brain here. The brain might be as powerful as it is, but it needs the support of a nervous system, a heart and a body among many other organs to function properly. Similarly, AI is the brain here, but it needs a full environment or infrastructure of positive change to give full results.
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How to Accelerate the Digital Transformation
Government and enterprises need to achieve new levels of growth and innovation for accelerating this digital change.
This acceleration can be achieved through the amalgam of changes and elements that we mentioned above. The full-stack approach has an important role to play here, as it acts as a conduit in achieving the end goal. Organizations need to create an ecosystem of change by building feasible platforms and hiring pertinent talent for the job.
The best use case of this perspective in play comes from Huawei, which has achieved a convergence of various technologies and has worked with governments and enterprises to create the ecosystem for the future. Huawei is in a partnership with Tianjin Binhai New Area to help in the creation of a smart city. They are also working in association with Vanke for building a smart campus.
Conclusion to Driving Innovation in the Digital World
With great hopes associated with AI and its potential, it is important that we don’t let go of innovation and drive it through intelligent methods. AI needs an infrastructure to succeed, which is why a full-stack approach is the need of the hour. The approach has proven to be successful for Huawei, and can help numerous other industries benefit from AI and its tools as well. Contact us for services related to Driving Innovation in the Digital World.
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