With AI and its applications gaining momentum with every passing moment, big names in the industry find themselves deeply invested in unlocking its true potential.

Leading companies, including the likes of Alibaba Cloud, Amazon Web Services, Google Cloud Platform, IBM Cloud, and Microsoft Azure, are spearheading greater developments.

Healthcare, marketing, retail, e-commerce, and financial services sectors are all banking on AI technology to yield astounding results. It’s no wonder that the future of AI technology is brimming with hope.

According to a recent study by Finances Online, the global AI ranked by revenue of use cases includes vehicular detection and avoidance generating $8.9 billion. This is followed by static image recognition at $7.6 billion and processing of patient data at $7.2 billion.

Furthermore, 71% of organizations and corporate leaders view AI and machine learning as potential game-changers, while 61% believe that AI is useful in singling out opportunities for greater use of data. Moreover, 79% consider that AI makes work easier and more efficient.   

In light of this information, let’s take a quick look at some of the upcoming predictions regarding growth and opportunities for all with respect to AI.

·        AIOps’ Growth

Also known as artificial intelligence for IT operations, AIOps is based on the field of information technology and systems management that automate and enhance IT operations.

This is primarily achieved through the process of utilizing data analytics in conjunction with machine learning. The end result is a system that continues to improve the overall procedures, pinpointing redundancies and making self-improvements that lead towards optimization of resources and minimizing loss.

This translates to incredible insights that can guide them towards better and more informed decision-making for businesses. One fine example is Park Place Technologies that utilize AIOps to continuously monitor hardware and predict faults based on previous and real-time data.     

·        Augmented Coding Tools

We all love software, apps, tools, and games, but guess what? They all require strenuous hours of coding that can mean backbreaking hours punched in every day by coders who diligently and tirelessly work to deliver products that we all admire.

However, with AI, all of this can change as augmented coding would make a big breakthrough where we will find programming tasks being transformed to increase the developer team’s performance.

With Ai Art Generator helping coders speed up the development process, it will also help developers find the exact code they need to make a software viable for the masses and public use.  Globant is one such software development company that is putting augmented coding to the test.

·        Cybersecurity and AI

While the pandemic still rages on in the real world, the virtual world has been plagued with its own recurring and persistent threat known as cybercriminals. There hardly ever goes a year these days where a big corporation is not hacked or presumably thought to have warded of cyber-attacks.

In recent years as stated by Survey Moodle we have learned that cybersecurity is a huge concern especially for bigger establishments as they become primary suspect towards cybercriminal activities.

However, with AI, things can change for the better despite several claiming it to be a double-edged sword. In the end this battle wages on with seemingly no end in sight.      

·        Ethical Standards of AI

With AI taking center stage, there is no doubt a lot of skepticism about its ethical use by corporations has also being amassed. New technology during present times has to pass the test of time and overcome major concerns about its ethical use. One of the primary issues pertaining to AI use by establishments is the parameters that infringe upon personal data and privacy of users or consumers.

Furthermore, it also involves the use of AI technology for the greater good of mankind rather than the creation of disruptive practices that can be used to disintegrate societies and the moral values held by communities across the globe.

·        Frictionless Cloud & AI Mergence

Cloud computing has been offering users around the world gratifying services for their need of computing power and data storage that can be accessed over the internet.

However, throwing AI into the mix and cloud computing becomes even more formidable. One of the proposals depicts AI’s distribution to various users and nodes in a connected network so that computing devices become self-reliant.

This would potentially spread the use of AI to unknown avenues till it becomes the new norm for software technology.

Take the example of Amazon’s Alexa, which can blend AI and cloud computing together to assist us better in our everyday lives.

·        Hyper-automation

Hyper-automation is business automation’s next level of progression. This is where advanced technologies, including the likes of AI, ML, and RPA, are utilized to augment processes and automate work that is significantly more impactful than simple iterations of previously known business automation.

This is often considered as a marriage between AI and RPA (robotic process automation) where any repetitive task is automated as well as leading the development of new opportunities to automate other remaining processes as well.

·        IoT and AI

This is a no-brainer, in fact, AI, and IoT’s emergence should have spelt itself out with RPA taking prominence across assembly lines. Right now, at the present moment, we also have examples of automated warehousing that Amazon, Alibaba, and DHL are practicing to a great extent.

However, the future verily holds much more in terms of smart building management systems that can lead to smart cities where IoT and AI can be deployed on a much grander scale with the help of 5G wireless communication protocols coming into full effect.   

·        Structuring of Data

Structured data is great for search engines to crawl and produce rich snippets of your content to be delivered on SERPs (search engine result pages) in response to user queries. However managing content and data can be a painstaking process, especially considering the amount of content being produced these days.

Here enters AI that can offer you a resolute solution and help you to deliver structured data by process unstructured data on your websites, blogs, and landing pages.

What’s more, is that this inclusion of AI to deliver structure data can eventually pave the way for AI and search to be combined to deliver more powerful results with respect to a user’s background and need.  

·        Voice Intelligence

Voice technology is forecasted to rise in the coming years with many smartphones and smart device owners using voice recognition interfaces to carry out their day to day searches online.

This is why companies like Nuance Communications (U.S.) and iFLYTEK (China) are using their creative thought process to develop voice-powered technologies further.

These efforts are now being rewarded with the move towards the voice intelligence where AI will be merged with voice technologies to deliver more efficient communications. Hence Vi would include automating note-taking and detecting customer sentiments. 

Conclusion