- High-Quality Testing Automation
Intelligent automation is another area where AI has proven to be useful. In the earlier days, testing used to be manual. It took a considerable amount of time and resources to get it done. With the advent of powerful AI-assisted protocols, testing has become quicker. And the best part, it comes with improved efficiency. Unlike us, computers are tireless and accurate. These are two qualities that are beneficial during the testing phase. This is another reason why most companies are switching to AI tools, especially when testing their more sensitive deliverables
2. Improving Data Accuracy
As we head to a more technological future, the amount of data we have to process has increased. What this means is opting for human operators is no longer viable and may lead to inaccuracies. To avoid this problem, AI subroutines are taking over data processing tasks. These can deliver a much more accurate solution at a fraction of the time. Switching to AI improves the throughput of the company and increases your ROI with fewer overheads. You also get quicker turnarounds.
3. Detailed Research Analytics
Data research in any engagement is a time-consuming task. There are thousands of data points to be considered, and they all need to be aggregated as well. Opting for specialized AIs for these tasks can help remove inaccuracies from the analysis phase. Switching to this method also enables a company to process a larger data set, which improves results. As a business owner, you can also tweak several aspects of the AI analytics process. This can give you customized results, which means more flexibility at your end.
4. Content Augmentation
Content creation is a key part of the development process today. Most search engine updates are focused on giving customers a better content experience. Unfortunately, this is also one of the more expensive parts of the business. Content writers are not cheap, and they also take time to deliver. AI solves this problem through smart content augmentation and integration. It can deliver tailor-made content for any niche given enough input. This is a huge advantage for people who don’t have access to writers or are pressed for time.
5. Voice Recognition Tools
An area where AI is being used for a long time now is voice recognition and pattern analysis. Many voice assistants are out there today, and they are all powered by AI at their client-side. This gives customers ease of use for finding what they want. Voice recognition is a huge part of web and mobile today, with over 50% of all searches today coming from it.
6. Customer Behavior Analysis
One of the most critical aspects of web and mobile development these days is customer behavior analysis. This is how you can determine the most likely choice of the customer in a particular instance. The ability to extract behavior data is invaluable to a business. But the problem is the huge amount of data and data points that need to be processed. With AI, it becomes a much easier routine — it can calculate and collate a huge amount of data into a cohesive analytics document.
7. Better Store Experience
Both web and mobile development have in common that both depend upon a good store experience from their customers. This is difficult to provide because customers have evolved. There are more discerning, and their choices have become more complex. AI does a superb job of breaking down this process and making it easier for businesses to optimize their stores. It can also process an enormous amount of data, which makes the process a lot more accurate as well.
Who needs AI for transformation?
From driverless vehicles to virtual specialists, AI is changing the way we live, work, travel, and work together in the 21st century. Luckily, numerous organizations understand the significance of getting up to speed with AI innovation and carrying out it. Here the top 9 industries are transforming completely by Artificial Intelligence.
Author: Arunraj Jagadeesan