artificial intelligence development – Blog

Artificial Intelligence and robotics have become the overnight sensations every company wants to lay their hands. With decades of building and scores of changes within their implementation, the two have almost come to be used interchangeably. As the application of Artificial Intelligence takes precedence over manual intervention, technology has become the thing of the future.

With repetitive tasks no longer seeing the light of day, Artificial Intelligence and Robotics are giving way to adaptive technology and intelligent applications. As Artificial Intelligence takes over the usual mundane chores, it will soon surpass human knowledge and make decisions we were never capable. In the coming years, this will result in paradigm shifts, which will only translate into better success rates for companies making use of these smart, evolving technologies.

With this said and done, it is difficult to overlook the fact that Microsoft and Oracle have already progressed on the path of smarter robotics, which has led to the development of cognitive, connected factories. At the same time, Artificial Intelligence-infused robots will aim at transforming industries with their innovative level of intelligence; this will further lead to enhanced areas of production in the fields of safety, service, transportation, and even habitation.

Artificial Intelligence and robotics have come a long way, and they are the promise towards ushering in a better tomorrow. Broadly speaking, these are technologies which work well within the domains of law enforcement, rescue operations, and many other fields. Slowly and steadily, these technologies will become an integral part of our lives, and become inseparable from our day to day jobs. What is yet to be seen is how these technologies can reduce the interdependency between humans and machines, and recreate the evolution for a better tomorrow.

The Growth Spurts Within the Artificial Intelligence Industry

The next four years will see a massive shift in the growth of Artificial Intelligence and robotics. Artificial Intelligence revenues are expected to grow by 20%, in 5 years (2015-2020). In the year 2015, the Artificial Intelligence industry was staggering at a revenue model of $5 billion. However, by 2020, this industry is likely to operate at a revenue model of $12.5 billion.

With the evolution of the Artificial Intelligence industry, software companies are rapidly taking up the evolution mantle and charging ahead at full throttle. This way, they can push the boundaries of automation and enhance the realms of social media. As the Artificial Intelligence industry continues to push forward, very soon Artificial Intelligence will begin powering automation in the automotive sector, thereby creating scores of jobs in business operations.

As an example, virtual assistants and chat-bots have already become widespread. Smart robots are slowly and steadily taking over the advice columns in the fields of finance, insurance, media, legal, and journalism; this has lead to a revolutionary change in the way information is processed and passed on, thereby plugging multiple gaps within the information processing cycles. Some other benefits within the Artificial Intelligence industry include, but are not limited to, progressing standalone R&D projects, reducing time to market products and services, optimizing supply chain networks, etc. While these are an ongoing series of services, they are going to be enhanced manifold in the many years to come.

Are We Going to be Replaced by Machines?

Hollywood movies have already projected the future of the human race in many films. With the launch of Artificial Intelligence and robotics, there is an excellent chance that all manual jobs will eventually be handled by robots and automation, which will lead to a massive shift in the unemployment cycle. Despite the fear of losing jobs, it is necessary to note that Artificial Intelligence will be aimed at reducing tasks, and not jobs.

At the same time, the fear of replacement is justified. Simply stated, technological unemployment and displacement is a result of technological progress. As companies begin to see the benefits of Artificial Intelligence and robotics within their growing operations, these technologies are rapidly becoming popular in the market. All unrest is put to ease when one concentrates on the fact that Artificial Intelligence as a technology is being used in niche industries, as development within this domain is yet to be funded and finalized. Despite the ongoing concerns, it’s important to note that everything is not black and white, and the grey areas are what needs to be seen as time progresses.

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Artificial Intelligence (AI) has found its way into numerous industrial processes. Companies implement AI not just to accelerate production, but also to increase precision and efficiency. Nevertheless, AI used to be a buzzword only a few decades ago, when the developments were not as far reaching as they have become now; it needed particular minds to both develop and operate it. However, now, our modern IT infrastructure has become endowed with talented thinkers that can turn impossibility into reality.

With an increasing emphasis on DevOps, organizations are focusing on efficiency and better reliability. The multi-leveled and interwoven IT strategies require equally sharp eyes and a keen mind to notice and trace critical events that trigger a specific function – this is where real-time and centralized log analytics plays a vital role. AI helps to troubleshoot the main issues quickly and efficiently, while also predicting future problems.

AI has gone from being a buzzing luxury to becoming a necessity of industries today; AI is redefining the entire system of proceedings itself. It is being combined with human knowledge to create breakthroughs and opportunities that would have been impossible without its intervention. Even in IT, where the environment has increasingly become agile and dynamic due to DevOps, the complex methodologies are being simplified through AI implementation. Apart from procedural ease, AI enables IT professionals in gaining insights into the problems that are otherwise so hard to trace.

The immensely complicated DevOps process often falls outside the reach of the human mind. The operations involved need precision, pace and, big data streaming, which are possible only with AI intervention. Thus, AI has become a powerful and essential tool for efficiently analyzing and taking over decision-making processes for better results. AI fills the gaps between human capability and big data through applications of operational intelligence. Additionally, AI speeds up troubleshooting and real-time decision-making.

AI’s Cognitive Insights
One of the most groundbreaking pieces of AI technology is applied in IT operations, namely Cognitive Insights (CI), which utilizes machine-learning algorithms to match human domain knowledge with log data, open source repositories, discussion forums, and social threads. Through this informational repertoire, CI forms relevant insights that contain solutions to a wide range of critical issues faced by DevOps teams on a daily basis. DevOps engineers face numerous challenges, which can be effectively attenuated by integrating AI into log analysis and other concerning operations. There are several applications of Cognitive Insights, which include:

Security
Frequent attacks such as Distributed Denial of Service (DDoS) have become all the more prevalent. Threats which used to be limited to high-profile public websites and multinational organizations are now targeting small-scale servers, SMBs, and mid-sized enterprises. Having a centralized logging architecture to identify and pinpoint potential threats from numerous entries is essential for warding off such attacks. For this purpose, the application of anti-DDoS mitigation through Cognitive Insights has been highly effective. Leading organizations such as Dyn and British Airways had sustained potential damage from DDoS attacks in the past and subsequently installed a full-fledged ELK-based anti-DDoS mitigation strategy to restrict hackers and secure their operations against future attacks.

IT operations
Cognitive Insight can compile logs at a centralized point, with each entry carefully monitored and registered. It also provides the luxury of viewing the process flow clearly and executing queries of records from various applications; this thereby increases overall efficiency. With AI Cognitive Insight it is becoming straightforward to pinpoint the small, yet potentially harmful, issues in vast streams of log data. The core of this program is based on ELK stack and makes it easier to have a clear view of DevOps processes through the help of data simplification and assortment.

Besides these cases, AI integration in DevOps can yield several other useful outcomes including:

• AI-driven log analytics systems efficiently solve issues of identifying and resolving critical issues, which subsequently amplifies management and overall operational pace
• Improved customer success due to better results
• Monitoring and customer support becomes even easier
• Risk reduction and resource optimization
• Maximize efficiency by making logging data easily accessible

In other words, Cognitive Insights and other such Artificial Intelligent integrations can be of great help in data log management and troubleshooting. They can quickly pinpoint the issues from thousands of log entries which are often time consuming and erroneous when a human mind handles them.

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