The Implications of Cognitive Computing for the Business World

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The potential of artificial intelligence and cognitive computing in the workplace is unlimited, leaving many in the business world looking for ways to leverage disruptive technologies to get ahead of the competition. While recent advances have created new opportunities for companies looking to be at the technological forefront, most agree that growth in this area is still needed before organizations can fully base their business models around AI.

Currently, most enterprises are limited in regards to cognitive computing implementations, as most systems are designed to handle highly specific activities and aren’t general purpose solutions. This means it is possible to shift certain tasks over to AI, alleviating the strain associated with certain duties from employees, but leaving other activities predominately unchanged.

For example, IBM’s Watson has been deemed a strong fit for customer service applications as it provides a method for automating certain interactions. Salesforce’s Einstein vision includes a set of capable APIs designed to make adding image recognition to CRM and AI-powered apps easier for businesses.

Understanding Cognitive Computing Today

One of the most critical points that companies and stakeholders must understand is that cognitive computing technology is still in a highly evolutionary state. While it can be implemented to improve individual business processes now, these offerings are still somewhat limited in areas that involve rapid change or a high level of uncertainty, as well as when the tasks require a creative approach. It is important to keep all expectations in check and thoroughly research any proposed uses of the technologies to determine what value they can actually provide.

But cognitive computing can be a boon in big data. The ability to recognize patterns in complex data sets provides significant value to a range of companies in almost any industry. In most cases, outputs still need to be reviewed by employees, as correlation does not always mean causation. Also, an AI may not be able to understand why certain items are connected and draw appropriate conclusions.

Language processing capabilities can make it a strong option for automating customer service and ordering functions, which allows clients to interact with systems using natural language to obtain the answers and assistance they need. However, most of the systems must still fail over to actual people once the complexity of the conversation reaches outside of the AI’s capabilities.

The Cognitive Computing Solutions of Tomorrow

As more time and money is invested in cognitive computing, new solutions are being developed to handle increasingly complex and diverse tasks. The full potential of these developments is still not known. While having a cognitive business may not be feasible today, these solutions will likely become more robust and comprehensive in the future and could make anything possible.

If you are interested in exploring cognitive computing for your business, the team at Solving IT can help you explore your technical options and find your skilled professionals to further AI-based initiatives in your company. Contact us to discuss your goals today and see how our wide range of services can move your business forward.