Many market researchers have concluded that by now, artificial intelligence and machine learning (a subfield of AI) are impossible to ignore. In fact, we can expect almost 90% of enterprise software to feature AI elements. That's quite a transformation. Whether the company is an online website with games like Burning Desire or a new eCommerce platform, everyone will soon conduct their business via AI solutions. The new technology improves the systems' speed, efficiency, and overall quality. Plus, AI creates completely new kinds of customer experiences and even new products. So, naturally, enterprises that keep an eye on the latest AI trends gain a competitive edge over others. And this article is here to help you do that. We'll bring you the ten most groundbreaking ways AI is transforming enterprise software right now. Sounds good? Let's dive in.

1. Computer Vision to Solve New Problems

We've all probably read news about AI-based computer vision tools used in self-driving cars and analyzing medical images. But now, many startups have started to use AI for more mundane tasks also. For example, insurance agents can use it to assess the condition of vehicles after a crash. AI can check that the estimates follow the policies and automate a big part of the damage estimation and claims process.

2. Speeding Up the Innovation

The thing is that coronavirus has disrupted the regular supply chains. It has forced businesses to innovate at a faster speed. AI technology can help app development company to adapt to new regulations and keep the businesses running during a lockdown. Automated packaging systems and robot delivery are just some artificial intelligence examples that have left a permanent mark on our changing world.

3. Supply Chain Optimization

Unfortunately, the supply chain management during the crisis was not handled well. There were many shortages. That is why numerous enterprises have started using artificial intelligence, the science concerned with intelligent machines, to deliver the goods on time. Plus, these machines reduce cost management and accurately predict potential problems.

4. Testing Your Interfaces

AI-based interface testing is already possible with tools like Applitools. It enables businesses to streamline their user interface testing. And the cool thing is that eliminating the need to write scripts can cut down the testing time by 70%.

Plus, most AI testing tools, like Test.ai, Sea lights, Tricentis, and others, are cloud-based. So in terms of artificial intelligence tools' integration with the Agile and DevOps workflows, it's conveniently possible.

5. Detecting Natural Language

Natural language processing (NLP) has been in chatbots for years. But since NLP technologies have improved a lot over the past years, vendors have started to use NLP in other customer service areas. For example, analyzing customer calls in real-time. And that doesn't mean only transcribing the call. An application called Media Streams can identify the reason for the calling and bring up articles to solve any issue. What's more, the AI in this app can understand the emotional state of customers. It can even identify them by voice.

6. Improving Online Casinos

It's difficult to say what is artificial intelligence's primary role in the online casino industry. AI technologies are integrated into almost every casino operation to improve efficiency and customer service. For example, nearly every online 5 euro casino uses high computing power to enhance their live gaming experience. Players can take part in tournaments in real-time: just like in a real casino. Plus, AI chatbots can handle customer support quickly and efficiently with automated answers. What's more, casinos can use AI to collect data from user activities. This information can help them to foresee future trends and come up with new popular games.

7. Processing Documents Faster

Long gone are the days when enterprises could extract data from only documents in set formats. Today's AI programs can scan any document and find the needed information almost immediately. For example, AI can help you with invoice management. Even small businesses can get overwhelmed by the numerous different layouts on invoices. AI can quickly identify the origin of an invoice, confirm the details, and schedule the payments.

8. Extra Security

Unfortunately, handling cyberattacks will always be part of running an online business. But AI gives your security team some pretty powerful tools against hackers. For example, AI security applications can even detect previously unknown threats. They do it with the help of machine learning. The security system is continuously scanning for anomalies and learning from user activities. It enables the system to identify the time of the attack and halt it.

9. Business Analysis

Artificial intelligence, by definition, is required to tackle tasks that are normally handled by the human brain (translating, recognizing visual and audio patterns, etc.). But to do that successfully, the machines need to be trained using enormous amounts of data. And this process takes a lot of time. But here's the good news: you can accelerate the process with pre-trained AI models. Plenty of vendors have come up with AI accelerators for specific uses.

10. Preparing Even Bigger Amounts of Data

Processing data and cleaning it from unnecessary information is a huge task. And AI systems are here to make it easier. App development companies like Alation, Paxata, Unifi Software, and others have AI cataloging tools out. The thing is that once an enterprise has seen the effectiveness of AI in data processing, they are very likely to apply machine learning in other areas of the company.

Conclusion

The bottom line is this: AI-powered tools lead product innovations and improve customer satisfaction. It means that applying AI in your enterprise software is one of the quickest ways of gaining a competitive edge for your company. And as AI continues to develop rapidly, it is transforming the enterprise software every year, making it more diverse and more attractive to customers. And what could be better?