Artificial intelligence is poised to be one of the most impactful integrations into enterprise environments of the past few decades. Research suggests that AI tools will contribute around $15.7 trillion USD in total value by 2030, helping to initiate a boost in GDP of upwards of 26% .
Yet, beyond the bodies of research and the striking statistics, how does AI actually fit into enterprise settings? As a powerful integration into any tech stack, AI offers a range of benefits when paired with existing technologies that a business uses.
From enhancing predictive analytics to improving any data-first process, using AI is an effective way of boosting productivity and improving a company’s bottom line. In this article, we’ll touch on the various ways that AI enhances enterprise settings, examples of AI integrations into existing technology, and outline how AI is the future of effective business practices.
Let’s dive right in.
Artificial intelligence is an active technology that businesses can add to existing systems to help streamline them, identify efficiency gains, and enhance existing processes. Across the board, organizations can leverage AI and apply it to any data-first process.
There are numerous benefits to using AI in an organization:
- Reduce Costs: Artificial intelligence systems can optimize certain aspects of business operations. For example, AI in the late stages of the supply chain can identify better route mapping practices, reducing gasoline usage and improving delivery times. By rapidly processing vast quantities of data, AI can encounter novel patterns that help locate efficiencies that can reduce resource drain and improve the bottom line.
- Improve Productivity: Employees can leverage AI tools to improve the speed of processes they already engage in. For example, generative AI tools could help speed up the brainstorming process for project management and planning. Alternatively, developers could rapidly debug code by using AI code assistants, helping to improve productivity and increase role efficiency.
- Automate Tasks: Businesses can automate certain tasks that are highly repetitive and based on data science, such as cleaning data sets or formatting large quantities of data. By utilizing AI to complete these tasks, employees can save time and focus their energy on more demanding or lucrative parts of their roles.
Yet, while AI has a number of different use cases, it’s not a single technology. Artificial intelligence comes in many different forms. Each model can be built to solve certain problems or function in a certain way. Especially over the past year, we’ve seen smaller, targeted models that offer support for one task or role hit the market.
With that in mind, let’s explore some of the leading examples of AI integrations that businesses are using to enhance operational efficiency.
Supply Chain Enhancement
The supply chain is a diverse system that’s made up of numerous connections, spanning several layers from raw material production and processing to logistics and transportation. Enterprises must have full visibility into their supply chains at all times, with technology playing a vital role in that process.
Artificial intelligence tools can streamline almost every area of supply chain management, offering efficiency gains in:
- Inventory Management: AI systems can enhance existing inventory management software by enabling higher precision through predictive analytics. AI systems can use their ability to process huge volumes of data to identify when businesses need to adjust the production of certain products or order more raw materials. Automating these systems will translate to cost savings for businesses while reducing manual tasks.
- Logistics Tracking: AI tools can pull information from IoT sensors, creating a stream of real-time data about the location of shipments and their current conditions. This is especially useful for temperature-sensitive shipments, with AI monitoring conditions through IoT sensors and flagging any imperfect environments.
- Route Planning: AI tools rapidly process data in real-time to provide insight into the best routes that drivers should take when delivering products. These dynamic insights will automatically update routes and help drivers save time, reducing the resource cost of this part of the supply chain.
Supply chain systems that utilize AI tools can create huge cost savings, manual task reductions, and efficiency improvements.
Software Development Enhancements
Another exciting area in which businesses are using AI is as a partner tool for software developers. In any one production cycle, software developers have to move through stages of code development, testing, deployment, iteration, and cybersecurity enhancements.
Artificial intelligence tools can help to enhance the speed of several of these stages by reducing the manual tasks that developers have to go through. For example, developers can use AI tools to help write code faster, with market tools like Amazon Code Whisperer or GitHub CoPilot offering suggestions as developers code.
Equally, AI tools can check for known vulnerabilities, rapidly scanning through code and accelerating the process of secure code development. By looking for small efficiency gains that AI tools can offer to employees, businesses will help to reduce the total workloads of their employees. Not only will this help to push back against burnout culture, but it will also allow developers to concentrate more extensively on the parts of code development they’re most talented in.
For vital departments like software development, AI could be a major point of innovation, accelerating development cycles and improving time-to-market for enterprise applications.
Email Management and Customer Experience Improvements
Email management and customer experience management are other areas where AI tools have had a particularly striking impact. In every enterprise business, customer management and improving the customer experience are core tasks that must be focused on at all times.
Artificial intelligence tools can embed themselves in customer relationship platforms, helping to provide employees with a streamlined experience when accessing customer information and delivering a winning experience to them.
For example, businesses can streamline email communications by using AI-powered email signature management tools. These tools can automatically generate email signatures for new employees, generate templates for rapid communication, and ensure all company emails are cohesive in tone.
By using AI to streamline small tasks like email management or customer data, employees can reduce the time they spend on more menial tasks. Over months and years, this can create huge time savings, which translate into higher productivity rates for your business.
Final Thoughts
Artificial intelligence tools are the future of numerous aspects of enterprise operations. Able to enhance existing processes while foraging new pathways for innovation, AI systems are powerful integrations that enterprises around the world are beginning to incorporate.
With impressive future projections for both cost-savings and productivity enhancements, AI tools are rapidly becoming a core feature of enterprise systems. Over the next few years, as AI tools become more accessible and more economical to run, we’ll likely see them integrate into almost every area of enterprise operations.
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