Top 5 Emerging AI Trends in 2021
Dialogue, ethics, quantum AI, AI, and AIoT are at the forefront of cybersecurity as companies explore better ways to pivot, strategy, and adapt.
The year 2020 is fraught with many challenges. Despite the setbacks, the COVID-19 pandemic has also served as a great opportunity for companies to access technology. From ensuring employee safety while working remotely to improving business functions, the industry has emerged from multiple digital touchpoints.
As companies continue to implement and adopt new technologies, 2021 looks like a year full of opportunities for technology trends.
To help you succeed, we have compiled a list of the latest AI trends this year. This will help you to stay afloat in the AI era. Take a look:
1. Conversation AI
A conversation such as chatbots, virtual personal assistants, and virtual customer assistants is becoming mainstream for AI businesses.
As AI grows, companies want to expand their businesses effectively. The year 2021 is projected to be a powerful year as dialogue AI moves forward to increase client encounters widely.
Conversation 2021 and beyond What can we expect from AI? These statistics show:
AI will increase customer interactions by 95% by 2025. Source: Service.
Voice assistants are three times more common than the 2.5 billion in 2018 and 8 billion by 2023. Source: Juniper Research
By the end of 2021, almost 80 percent of businesses will use some form of chatbot system. Source: Outgrow
As companies explore ways to change their business, communication AI serves as a key element in creating a more personalized customer experience.
2. Ethical AI
Ethical AI tops the list of emerging technology trends in 2021. But when it comes to machines and robots, how do we define AI ethics and ethics? This is what computer scientists and AI engineers have been trying to figure out since the 1970s.
AI ethics helps to identify right and wrong. In this case, it is a set of ‘rules’ or ‘decision paths’ taken to determine the behavior of AI.
Failure to implement AI ethics poses a threat to the company. Losing ethical AI increases regulatory, legal, and reputable risks, thereby leading to product development inefficiency, inability to use data for training AI models, and wasting resources.
3. The Fusion of AI and IoT (AIoT)
The combination of AI and IoT allows an organization to reach higher heights by providing intelligent decision making, customer satisfaction, accurate assessment, cost savings recognition, and increased operational efficiency.
When merged, AI and IoT provide a unique solution with the ability to digitize businesses.
According to the Business Insider report, by 2025, companies are expected to invest up to $ 15 trillion in IoT.
According to the McKinsey Global Institute, the potential economic impact of IoT will be between $ 4 trillion and $ 11 trillion by 2025.
Alexa, Siri, Google Maps, and Netflix are powerful examples of the existence of AIoT.
4. AI in Cyber Security
Companies are banking on AI to help identify threats. Nearly 69 percent of companies believe that adopting AI will be ubiquitous in response to cyber talks and threats, according to a 2019 report by Capgemini.
Technologies such as AI and machine learning have become key tools for companies to address unwanted system vulnerabilities. With the inevitable threats coming from cybercriminals, organizations need to be vigilant and not let their defenses be frustrated.
Threats continue to flood companies, and the list below shows how companies began to use AI:
Threat hunting: AI can easily improve threat hunting by following behavioral analysis. For example, profiles of each existing application can be developed by analyzing company data from endpoints.
Managing vulnerabilities: AI methods simplify the vulnerability capabilities that organizations face daily. In addition, other tools such as AI-powered Event and User Behavior Analytics can also help detect server anomalies or analyze user behavior before an attack occurs.
Network Security: When creating network security, the organization should focus on two areas:
Understanding how the network environment works — Companies need to start getting naming conventions for workload and applications. This is a major reason why many companies spend a lot of unwanted time choosing the workload for any application.
Creating Security Policies — Security policies help determine whether a connection is legal or malicious.
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5. Quantum AI
Industry leaders in quantum space such as IBM, Azure, Microsoft, and Google are making progress in 2021.
Quantum hype is already going on. Private investors and governments around the world have begun to invest heavily in quantum research and development. Furthermore, according to an Allied Market Research report, the global enterprise quantum market is projected to grow to $ 5.85 billion by 2025.
Although the opportunity in quantum computing seems attractive, many companies are ready to adopt quantum technology to solve multiple computing problems in various fields such as cloud security, finance, logistics, supply chain, and drug discovery.
Conclusion:
As companies become more reliant on AI systems, more and more businesses in the future will use artificial intelligence. Considering these trends, it is clear that AI is becoming a key task for all businesses. To ensure a bagful of opportunities for your industry, outsource the best artificial intelligence company in USA for developing intelligent AI solutions.
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