The Most Valuable Use Cases of Artificial Intelligence in Web Applications

AI is helping businesses use online-hosted applications to their advantage.

This article will explore how artificial intelligence in web applications has helped organizations drive value.

Web applications, stored on remote servers and delivered over the Internet, allow organizations to perform tasks without the need to install products locally, while reducing costs. An array of different types of web applications are currently available in the market, but one technology that has proven to be truly disruptive in this space is artificial intelligence. Capable of automating manual tasks, AI can drive smarter decision-making using web applications, speed up operations, and bring other business benefits.

Matthijs AlerCEO of Ohpenbelieves that the value that can be generated by artificial intelligence in web applications “is highly dependent on the type of web application”.

He said, “You can turn any successful machine learning model into a web application (like Google Lens or Google Translate). Right now, the big breakthroughs are related to images and language, so web applications that deal with them are most likely to be a valuable use case.

In this article, we delve into some of the most valuable use cases of artificial intelligence in web applications.

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Meeting the challenge of unstructured data

While the structure of AI capabilities such as computer vision relies on unstructured data, many organizations still struggle to use asset types such as video and text to their advantage, the sheer amount that exists is often overwhelming.

Prashant NatarajanVice President, Strategy and Products at H2O.aisaid this challenge can be mitigated through web application projects made using open source.

“The most useful applications of AI in web applications extend across the enterprise on the one hand, and across multiple verticals on the other,” Natarajan said.

“Today, any web-based application that deals with customer experience, employee experience, enterprise resource planning or supply chain, human resources and talent management, privacy and governance – these are all business processes where AI is applied today.

“If you’re not sure where to start your AI journey, it’s worth noting that the lowest fruit to get a proof of concept is in the toughest class of data we’ve had to tackle within the enterprise: unstructured data. All this mass of documents, text and images was once a black box for organizations, and it is estimated that it could represent up to 80% of all the “memory” of your company. But with today’s AI and ML technologies, and the knowledge you can access in the very rich open source AI community, you might be amazed at what you can accomplish.

“Personally, I find it fascinating, and cause for optimism, that what has always been our most difficult information problem could be the easiest to start a large web application project today.”

AI engineering for cloud applications

With many web applications using cloud infrastructure, AI engineering can be tailored to business needs and prove essential in delivering actionable insights quickly. From there, this use case can facilitate access to AI-powered tools for personnel who may not have a background in technology.

Amir HashmiCEO of zsahexplained: “AI engineering is a key enabler for adapting cloud computing technology to our needs. Cloud services allow low-skilled users and limited budgets to access advanced machine learning functions. .

“With more AI engineering, cloud computing will make advanced tools more widely available, leading to improved organizational efficiency and productivity.”

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Facilitate collaboration

Notably, the pandemic has seen an increase in the use of web applications, in the form of collaboration software accessible online. With the help of AI, the use of these platforms can become more efficient.

“Hybrid working has dramatically changed the need for AI to improve how we can learn about our customers and employees,” said Nick AtkinsHead of Solution Architecture at dubbing technology.

“By signaling trends in both – sentiment, tone, keywords and more – across millions of conversations, AI increases the ability to end ignorance. AI will drive intelligence transformation people, customers, revenue and compliance.

“The continued integration of AI into all of our means of communication – Cisco Webex, Microsoft Teams, Zoom, mobile and chat apps – will change the way we use these methods. Not only are these platforms improving, but we are also changing the way we use them.

“Every meeting can be automatically captured and transcribed – then topic, actions, highlights, auto-generated keywords. Imagine the power of not only impactful meetings, but the potential to save hours a day by eliminating manual note-taking and skipping meetings you only have to revisit at a later date – or instantly providing transcribed and audio context to a team member you need take on a task.

Combinations with IoT

Colin RavenBritish Managing Director at Nexeradded that AI, combined with the Internet of Things (IoT), can be particularly useful in various industries, when it comes to utilizing all that important data insights.

“Today, the most valuable AI frameworks for web applications will be combined with IoT and visual search, and will add value in many areas,” Crow said.

“Field Service uses AI to predict maintenance schedules, with schedules now based not on time between services, but on the likelihood of degradation, dramatically reducing service costs, reducing costs spare parts and guarantees higher availability.

“Retailers are using AI and visual search to accurately determine shoe sizing, so when a shoe is ordered, the system determines your size, not you. So you get what you like the first time.” and the cost of return (which amounts to approximately three for each purchase) is considerably reduced.