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Technology is ever-changing and those wanting to remain at the helm of innovation must adapt. The consumer journey is charting a new course as customers and companies alike embrace emerging technologies. As tech trends such as artificial intelligence (AI) and robotic process automation (RPA) become more pervasive, the world will look to brands who can deliver with accuracy and real-time efficiency. AI : Artificial intelligence is poised as a tool of choice for businesses and solution providers. As is often seen with social media, AI, combined with machine learning, deep learning and neural networks, can be a powerful combination. Businesses can use AI to achieve cost-saving benefits, streamline business processes, improve the customer experience, enable more efficient communications through chatbots, increase customer satisfaction and provide insight into purchasing behavior to inform decision-making. Additionally, machine learning can analyze large datasets and provide scaled insight. We are currently just scratching the surface of how machine learning and AI can work together to enable businesses. In fact, the global AI market is projected to grow at a CAGR of 36.2% to reach $407 billion by 2027. Current applications provide huge growth potential for solution providers who can fully understand the capabilities and functionality of AI to tailor solutions to meet business demands in the digital world. Cybersecurity Mesh: Cybersecurity no longer operates as an addendum in the world of information technology. As companies made the move to remote working models during the pandemic, a few pressing issues came to light. Not only is cybersecurity an absolutely critical element of business operations, but traditional approaches are not flexible enough, or don't have the bandwidth, to accommodate for a large-scale remote workforce. Cybersecurity mesh is a completely different approach to digital security. Cybersecurity mesh allows companies to create security measures based on the identity of a device, rather than proximity to secure connections. It’s a distributed approach rather than defining a perimeter based on network reach. In addition, cybersecurity mesh also allows for easy scalability across a distributed workforce. Digital Twin Almost anything is possible with the right coding, and now we can digitally copy a person. The virtual manifestation of a person is a real-time representation of what takes place in the human body. Digital twins are very useful for helping us to predict outcomes and measure performance. There are multiple business and healthcare applications that allow us to perform testing and apply data analytics that was previously difficult and time consuming to realize with living subjects. Advancements such as genome mapping and gene therapy could become more viable in the near future. Additionally, digital twin technology could finally eliminate the need for clinical trials in humans as we work to mange future medical challenges. Edge Computing : Edge computing is a decentralized model which places computing nodes closer to the source of interaction. Gartner defines edge computing as a model where “information processing and content collection and delivery are placed closer to the sources, repositories and consumers of this information.” This model optimizes technological interactions and reduces latency at the point of origin to enable more effective and real-time data consumption. Edge computing is quickly becoming the most efficient path for localized interactions. Quantum Computing: Quantum computing offers unique opportunities for predictive analysis that extend beyond the capacity of conventional computing. Quantum computers leverage the principles of superposition and entanglement to process information on an exponential scale. While Google came on the scene in 2017 with a promise of the largest quantum computer, IBM has actually made it possible for businesses to leverage this technology. Quantum computing offers businesses a powerful tool for predictive analytics and big data analytics. As we encounter new problems, quantum computing will help predict viable solutions. Robotic Process Automation (RPA) Robotic process automation is a term that is gaining ground recently. The name is something of a misnomer however, as there are no physical robots involved in these tasks. RPA involves automation of tasks using bots that previously required human labor and follow a repetitive pattern to accomplish more of these computer-based tasks with enhanced efficiency. Many businesses are embracing RPA to help achieve more efficient workflows for rule-based tasks. Check out the CompTIA IT Industry Outlook 2023 to learn more about technology and business trends in the coming year.

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