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How AI systems help enterprise platforms maximize effectiveness

By Paul Recchia, Product Manager, Relish

To better understand how artificial intelligence (AI) systems help enterprise platforms maximize effectiveness, we must first understand what exactly AI is and how it’s shaping our world. Artificial intelligence is a broad term that refers to systems or machines that mimic human intelligence to perform tasks.

As a society, we leverage artificial intelligence across most of our activities, whether we recognize it or not. From streaming playlist recommendations to cloud computing, AI influences nearly every aspect of our day. An AI-driven future is a contemporary reality and is most commonly used in the business world, contrary to what we were conditioned to expect an AI future to look like from dystopian classics such as (the movie) “Blade Runner” (1982).

Different types of AI power different sectors of industry and culture, and the business sector requires a distinct form of AI to maintain efficiency. The most important branch of artificial intelligence driving enterprise today is machine learning (ML), which helps businesses process large amounts of raw data quickly to solve complex, data-rich business difficulties. As such, AI can analyze, make choices, or deliver outputs — or all three, but it best serves business when it can analyze thousands of inputs to recognize patterns and improve workflow.

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It’s important to note that AI is not intended to replace human intelligence, but rather exists as a supporting tool. Improved workflow gives human staff a new vantage point to be strategic and forward-thinking, contributing new value to their role and business. So, how are AI systems helping businesses optimize effectiveness? A variety of factors play a role and executives must consider AI solutions for their enterprise to simplify experiences and efficiently interact with their internal systems to solve problems.

AI’s impact on the business world

Machine learning plays an essential part in the many ways companies conduct business. One of the main reasons for adding AI processes to your enterprise solution is to gain an increase in productivity and operational efficiencies. A SEM Rush report shows that 54% of executives say that “implementing AI in their workplace has increased productivity.” This allows for less human error, especially in rote tasks. Machine learning and processing can help improve accuracy, save time and money by automating and optimizing routine processes and tasks. AI and ML are transforming the way businesses are able to deliver more in a shorter amount of time.

AI is a partner in streamlining the process

Artificial intelligence thrives on sorting and analyzing data and becomes a partner in streamlining the process. The SEM Rush report shows that 20% of businesses say automating tasks such as invoicing and contract validation is the “second most crucial use of AI.” Many businesses still struggle with the first step in invoice input as many vendors and suppliers each deliver different data or file types. The key is a system that is smart enough to know when it requires human interaction. It’s not about AI taking over the job, it’s about a Human-AI interface.

Relish, an enterprise application development firm, has introduced a scalable, quick-to-deploy, low-investment solution to fill functionality gaps and maximize the value of enterprise IT investments. Relish Invoice AI provides an autonomous invoice intake channel through email, then reads, enhances, optimizes, and authenticates the supplier invoices. By using machine learning and artificial intelligence through Relish Invoice AI, all invoices are automatically digitized without human interference. On the surface, an invoice is a straightforward document, but in reality, it’s a document with several external and internal dependencies to create and improve payment. Thus, enterprise systems are the core of streamlining the process and increasing productivity.

Boost efficiency in the workplace

By integrating artificial intelligence in the workplace, enterprise executives can expect to boost efficiency and profitability, and enhance current operations, instead of making a vast change in their business models. It’s all about trusting the system and allowing these AI tools to input and analyze where data is repeatable. By doing so, executives can expect employee satisfaction as automation replaces rote, or unproductive tasks, which leads to efficient workflows. In short, train your team to be strategic with the data — AI can deliver insights we may not have had before. Give your team the space to use those insights for business growth and new ideas.

The future of work is being shaped by the increasing demand for innovative digital technologies in the workplace as these advances hold significant ability to elevate productivity and push for efficient growth. DataProt reports that only 37% of organizations employ AI and less than 15% position AI capabilities in their work. It’s imperative that companies embrace technological systems to help enhance human experience and workflows. Artificial intelligence and machine learning are important for industries moving forward, as they offer a solution for enterprises that need to employ the correct solutions to boost effectiveness and improve performance with their internal teams.

Based in Ohio, United States, Relish provides enterprises solutions for organizations to help them simplify complex data systems.