As we reach closer to the year 2020, our industry is brimming with high octane energy. Much of the power is drawn from the fact that new age technologies such as AI, Robotic Process Automation and the Internet of Things (IoT) have finally announced their arrival with great authority. If you are focused on participating in an Artificial Intelligence Course In Bangalore, here’s your best chance to do it.
We say so because the most impactful innovations and developments in the market are all driven by transformative force of AI, Cloud Computing and Deep Learning. Unavoidable from the public and professional discourse, the time is ripe now to think about all the great things you can do and achieve with AI.
In this article, we would take a definitive stance on how AI developments in 2019 could transform the roadmap of the future technologies.
The Power of Other AI – Augmented Intelligence
For so long now, most AI analysts have played around the scope of Artificial Intelligence in a narrow sense. Today, we know that Machine Learning algorithms can be executed to do so much more themselves at minimum human intervention. Attention Economy in AI industry is catching up fast where machines are expected to understand and focus on “this” and not “that”. Attention modules in self-learning can be very well understood from the Neural Networks, Deep Learning and Dark Data coming together at a never seen before mechanism called, Augmented Intelligence or Cognitive Intelligence.
It’s the simulation of human intelligence demonstrated by machines, commended by a string of programs, computing and computer vision.
Computer Vision and the Applications in AI as a Service
Since I just wrote about Computer Vision, let’s take a step toward its novel applications in Enterprise AI ecosystem.
Computer vision, or CV for short, is a specialized field in AIOps where various machine learning techniques are applied to develop “Supercomputers” that can see and articulate actions based on content, digital assets and video inventories.
The incredible goal of CV is to make every computer a human eye – that can enact simulation and process actions based on image recognition and combine learning with what they see, hear and process. As Image Processing techniques get finer and intense, it’s up to AI analysts to fully understand the tru capacity of CV applications in various industries, of which I think, healthcare, pharma, medical, metallurgy, space science, and automation would be first adopters.
Some top companies that are already delivering CV as part of their products include Deep Vision AI, Thrive.ai, Intello Labs, Pilot.ai, NetraDyne and so on. We will see CV’s adoption in drone and IoT-related applications by 2020.
Military AI: More Countries are Breathing Fire with Tech
Humans won’t fight the wars for countries anymore. We hear so much about autonomous tanks, submarines and drones taking the battle strategies to new heights. From Homeland Security to Cyber security to logistic and space ammunitions, the bar in military standpoint has tilted toward countries that have a strong grip on AI as a war machinery. Like we discussed CV in the points above, military AI too relies extensively on how well countries develop their space programs to define Image Processing benchmarks for target identification, geospatial markings and cyber intelligence.
A popular AI for military program, BLAE, or Behavioral Learning for Adaptive Electronic Warfare, leverages AI to break wireless communications entirely. Created by the US arms dealer and fighter jet makers, Lockheed Martin, BLADE can do two things – it can prevent wireless breakdowns from the enemies, and also predict and adapt to future wireless warfare. This means, BLADE can cut both ways without disturbing the owner country’s defenses.
Future of Programming: Robo Coders
We have heard so much noise in the Programming world about the scope of Python, R and Apache Hadoop continuing their phenomenal run with Data Science and Analytics. We rely on the great work done by Open Source community of coders and data scientists who trace out thousands of code lines for various applications.
That’s going to change soon. The future of Programming belongs to a new family of coders, called Robo-Program. These coders would be machines learning on intelligent automation mode laced with the power of AI, Predictive Intelligence and Data Visualization. Thousands of basic coders are going to lose jobs to advanced machines. Therefore, I believe, the future of Work will be open to smart human workers who can supervise machines that learn fast and deliver real time results.