Top Artificial Intelligence (AI) Trends in 2021
Though digital business transformation has been on the top of mind for business leaders across the globe for some time now, we saw years of application innovation in a couple of months, due to the pandemic hitting the world in 2020. This, of course, will not stop in a few areas, like that of artificial intelligence (AI). The growth of AI is happening at an accelerated pace on both chip and software levels. Big chipmakers are quickly developing AI into their systems, resulting in its greater democratization. This implies software developers applying AI to data and applications with cloud services providers embedding and expanding their intelligence offerings for hybrid as well as public cloud deployments.
Right from chatbots to advanced driver assistance systems (ADAS), artificial intelligence (AI) will continue to see faster acceleration than before in 2021 and future. Let’s take a look at the top trends in artificial intelligence for 2021.
Read more: Artificial Intelligence Certification in Paris
1 Hyper automation
The coronavirus pandemic has and will continue to stress the power of automation. Businesses have been turning to Robotic Process Automation (RPA) and Intelligent Process Automation (IPA) to free up employees engage in more complex tasks and this won’t slow down in 2021. Enriched by artificial intelligence and machine learning (ML), RPA is the core enabling technology behind hyper-automation. As tools like RPA, AI, and ML work harmoniously to automate complex business processes, hyper-automation emerges to be a way for real digital business transformation. The best thing about hyper-automation will be to create an intelligent digital workforce that is ready to take on repetitive jobs to increase employee performance.
Microsoft has been playing an instrumental role in Hyper automation with its fast-growing Power Automate offering. The crux is that companies today realize the power of matching traditional process automation with AI. Doing so is crucial to deliver greater accuracy and efficiency of enterprise automation efforts.
2 Cybersecurity and AIOps
As we head into 2021, we will be witnessing AI used specifically for automated resolution of IT issues and preventative cybersecurity through AIOps. These benefits carry much significance in a time when most of the employees are working from home, frequently on unsecured devices. The promise of AIOps is convincing. It brings about a radical improvement in the precision and speed at which IT problems are identified, diagnosed, and resolved, leading to quite shorter and fewer outages, when it comes to digital services and critical apps.
Besides, AIOps will boost uptime and reliability of IT systems, bridging the gap between security and IT operations. As developers apply machine learning and artificial intelligence algorithms to monitoring and observability data, AIOps monitors and manages testing, security, and performance. In a way, it becomes a crucial aspect of the DevOps toolchain. Integrated tools and DevOps engineers can also access real-time feedback through automation.
3 AI +IoT = AIoT
2021 will see a seamless conflux between artificial intelligence and the Internet of Things (IoT). As AI has the power to quickly provide actionable insights and due to the prevalence of sensors, it will lay a strong foundation for IoT in the future. IT systems will become faster in acting on the data monitored through AIoT. Data will be gathered and applied uniquely to deliver better sustainability, greater security, real-time offer optimization, and enhanced digital customer experience. Remember AI-enabled IoT creates intelligent machines, simulating smart behavior, and supporting decision-making with no or very little human interference. AI applications for IoT enable enterprises to prevent unplanned downtime, come up with new products and services, increase risk management, and improve operational efficiency.
- Predictive maintenance helps to mitigate the hazardous economics of unplanned downtime.
- ML enables businesses to detect patterns in the constant data streams from the machinery of today to anticipate equipment failure.
- AI-powered IoT can forecast operating conditions and detect parameters that should be adjusted on the fly to maintain ideal outcomes, thus improving operational efficiency.
- Natural language processing (NLP) is making human communication with machines much better and effective. In this context, AI-controlled robots, and drones, bring unique opportunities for inspection and monitoring.
- Applications pairing IoT with AI detect fraudulent behavior at bank ATMs. Monitor law enforcement surveillance data to notify of likely crime scenes much before time. Predict auto driver insurance premiums basis their driving patterns, and much more.
4 Personalized AI
AI needs data, so does marketing. When AI and marketing are put together, there is an entire world of possibilities that opens for businesses. AI offers accurate data to businesses to target the right audience and make their marketing efforts more fruitful. Like AI + IoT uses data to take digital CX to another level, applications of personalized AI for marketing takes this one step ahead. As more customer data is gathered and optimized. The ability to anticipate the next best action or the ideal offer continues to improve. Keep on adding more data, and artificial intelligence learns and infers user preference in a better way. Over time, you can offer unparalleled personalization to your customers. If you invest in personalized AI, you not only better digital customer experiences. But also enhance customer loyalty, the key goal of digital transformation.
AI With a Bright Future in the New Normal
AI will be a predominant part of the novel economy and that’s clear. We look forward to witnessing how these trends and developments in AI and ML pan out. It will be interesting to note what innovations AI brings to the table in 2021 and the future. With a broad spectrum, it varies from one organization to the other. As a business, you need to stay up to date with emerging trends and discover ways to leverage AI-powered solutions. Only then can you scale new heights.
INFORMATIVE: How can SMEs benefit from structured cabling?
2 Comments