How AI Shapes Software Development

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Artificial intelligence has revolutionized the way businesses work. Specifically, AI has opened up new opportunities for businesses to become more productive, efficient and innovative. AI shapes almost every industry, and software development is no exception.

Matt Fairhurst, CEO of Skedulo, knows better than anyone: his company’s officeless productivity platform uses AI to help businesses optimize their workforce. The platform’s artificial intelligence and machine learning feature, called MasterMind, focuses on the priorities and variables most important to businesses, including the rate of workforce utilization, operating costs, travel time, etc.

Fairhurst spoke with The IT advantage of the business on AI in the workplace, the risks of integrating AI into software development, and how Skedulo has used AI to transform the mobile workforce.

Read also : How machine learning is shaping artificial intelligence technologies

How AI is increasing the mobile workforce

Artificial intelligence is often mentioned as the future replacement of Human intelligence. AI is far from taking over from humans, but it has started to help humans in the workplace. Across industries, AI helps workers spend less time doing repetitive, menial tasks and more time looking at the big picture.

Some industries are more prone to automation than others. As Fairhurst says, “Compared to industries such as financial services or high tech, field services are not as innovative. Despite the AI ​​hype, adoption has been relatively slow. We estimate that 20-30% of field service jobs currently rely on some type of AI, but adoption is definitely accelerating. “

Field service agents may not be the first to embrace AI technology as part of their roles, but that doesn’t mean they’re left out of the conversation completely. Many analog companies are looking to adopt AI software as the first step in their digital transformation journey.

“We are seeing more and more traditional companies hiring full-time software developers to stay competitive. Now is a great time to be a developer – the demand for digital transformation solutions has never been higher, ”says Fairhurst.

Risks associated with integrating AI into software development

Integrating AI into any field is not without its risks. Security and privacy are major concerns, as is the longevity of such advanced technology. To that end, Fairhurst explains that companies wishing to dip their toes in the waters of AI are likely to face an uphill battle.

“One of the biggest risks in developing AI software is its long-term viability,” he says. “AI is very a sophisticated and often very delicate type of software, and it’s hard enough to get it to work, let alone get it to work in the long run.

A long-term strategy is the key to developing and implementing AI software. It can be tempting to do things that will save you time and money, but could have dire consequences in the long run.

“To ensure long-term success,” says Fairhurst, “companies need to be especially planned and avoid taking shortcuts during development. Rushing to the market with half-baked technology in this space will be disastrous. ”

Not planning adequately could ultimately lead to more delays and cost more money, so it is important to focus on fine-tuning the details rather than implementing the software before it runs out. ready.

Read also : What is Artificial Intelligence as a Service (AIaaS)?

The role of AI in Skedulo software

According to a study by Skedulo, 58% of workers without a desk believe their jobs have become more difficult since COVID-19, and 86% of IT managers say that worker productivity is negatively affected by their existing technology. Only a thin segment of the software industry focuses on the needs of deskless workers, which is grossly disproportionate to the majority (80%) of workers who do not work in a traditional office.

To meet this challenge, Skedulo is constantly looking for new ways to help the office-less workforce harness the impact of artificial intelligence. The most recent innovation has come in the form of MasterMind Solvers, which are scenario-specific optimization algorithms that correct inefficiencies that deskless workers often face. Like other AI-powered applications, Skedulo’s machine learning capabilities reveal patterns and trends that help businesses automate repetitive tasks.

Additionally, Fairhurst describes MasterMind enhancements as a way for organizations to make smarter, faster planning decisions based on user-defined variables. “MasterMind Solvers allows users to easily categorize scheduling variables by importance and automate schedules accordingly,” he says. “This can dramatically reduce travel time, distance and hourly cost for workers and office-less organizations while maximizing work capacity, increasing labor utilization, and best matching the attributes of the worker and the job. “

The artificial intelligence and machine learning features in solutions like Skedulo help businesses make their day-to-day operations more efficient. As nearly all industries discover the power of automation and smart technologies, it becomes clear that organizations closed to these innovations will likely be left behind.


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