A McKinsey & Company report found that with machine learning and AI-powered systems, "leading organizations are improving process efficiency by 30 percent or more while simultaneously increasing revenue by 5 to 10 percent.".<\/p>\n
According to Brianna Van Zanten, a client success manager at technology company InCheq, modern, sophisticated machine learning and artificial intelligence systems can work wonders for business processes if applied correctly. "When companies combine task management with intelligent automation, they can reap the benefits of next-generation technologies today," she says. <\/p>\n
Photo courtesy of Brianna V. \/ LinkedIn<\/p>\n
However, many organizations are slow to adapt to the AI era because the technology is still largely unexplored and unlocking its true value depends on specific use cases. <\/p>\n
Another McKinsey study shows that while many companies have implemented some form of AI or machine learning in at least one aspect of their operations, only about 15 percent have leveraged these benefits across multiple areas. The vast majority of survey respondents also described their algorithms as still in the pilot phase, with only 36 percent stating that their machines have advanced beyond this level.<\/p>\n
In particular, many companies still struggle to integrate the benefits of automation into their task management systems. Van Zanten believes that a huge opportunity is now opening up. "Bridging this gap can put companies at the forefront of the entire industry," she says.<\/p>\n
Too many companies overlook the benefits of implementing automated systems across their entire organization.<\/p>\n
\u00ab"Any repetitive task your employee needs to perform regularly can likely be taken over by machine learning or artificial intelligence," she explains. "Think about data entry. Think about handling common customer inquiries. Think about inventory management. Think about generating daily reports\u2014or monthly, or quarterly, for that matter. Modern automation platforms can be trained to perform the necessary steps and begin performing such work automatically.".<\/p>\n
As a result, employees no longer need to get bogged down in this routine. "It's important to maintain oversight, especially at the initial stage, to ensure the system is performing the task correctly," warns Van Zanten. "However, once the system fully understands the nature of the work and the timeframe, it can take over further processing of the necessary data. This will free up employees to focus on the more complex and nuanced aspects of their work.".<\/p>\n
According to Van Zanten, modern machine learning and artificial intelligence systems are capable of handling complex tasks if and when provided with clean data. <\/p>\n<\/p>\n
Tired of spending hours planning your schedule? Van Zanten has good news for you.<\/p>\n
\u00ab"No one has to struggle anymore trying to assign people to shifts," she says. "The advantage of modern systems is that they can process huge amounts of data and analyze it to find the right decisions in less than a second.".<\/p>\n
The same applies to optimizing other enterprise resources. "Companies don't make money when their equipment isn't being used," notes Van Zanten. "Downtime is unprofitable. Automated task management systems can be programmed to ensure every asset operates at its highest possible level.".<\/p>\n
Systems can even help ensure the security of your facilities. "If you combine your machine learning or artificial intelligence platform with sensors via the Internet of Things (IoT), you can provide continuous monitoring," says Van Zanten. "If a problem occurs\u2014say, the temperature in a walk-in cooler drops and starts to deteriorate\u2014the system can alert you immediately. Let's say someone breaks into your home at night; the same system can alert you. The system never sleeps, so it immediately raises an alarm and mobilizes your security guards. These are just a few examples, but the important thing is that these systems protect your facilities and make them safer.".<\/p>\n
Moreover, automated processes can be linked, with the completion of one task triggering the next in a cascade. "Suppose an employee has completed a file that requires client review, the system can immediately send the client an email with a link to the document and request their review," says Van Zanten. "Again, this is just one potential application. The use cases are limited only by what you can imagine.".<\/p>\n
Because automated systems can perform functions in milliseconds, all relevant employees can monitor the situation in real time. "This means your team can collaborate in real time, no matter what continent they're on," explains Van Zanten. "This also facilitates instant communication with your customers, suppliers, and other stakeholders.".<\/p>\n<\/p>\n
However, believe it or not, these opportunities are just the beginning.<\/p>\n
\u00ab"Machine learning and artificial intelligence can analyze data warehouses and generate performance metrics that allow you to accurately understand what's happening in real time," explains Van Zanten. "This means you can make optimal decisions that will lead to better results in the future.".<\/p>\n
Next-generation task management systems not only leverage the vast capabilities of machine learning and artificial intelligence to improve efficiency, but also, in essence, to predict the future. These systems can create and run simulations that allow business leaders to understand the consequences of various possible courses of action. Again, all of this depends on the availability of reliable baseline data.<\/p>\n
\u00ab"It's called predictive analytics," explains Van Zanten. "If someone has a hunch, they can virtually play out the situation and see what the likely outcomes will be. It's a great way to avoid making bad decisions. At the same time, it can also provide evidence to support more profitable moves.". <\/p>\n<\/p>\n
We're poised to revolutionize business on a scale comparable to 19th-century industrialization. Indeed, these algorithms have already improved significantly in just a few years. The future is closer than many business leaders imagine.<\/p>\n
\u00ab"Machine learning and artificial intelligence provide powerful tools that businesses can use to improve efficiency and decision-making," says Van Zanten. "This isn't about replacing human expertise, but about strategically integrating technologies to maximize productivity and innovation.". <\/p>","protected":false},"excerpt":{"rendered":"
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