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Artificial Intelligence (AI) has been around since 1950. But the growth it has experienced in the one decade makes it a technology trend that every enterprise is looking forward to. Within a brief period, we have seen AI solving real-world challenges and emerging as an option for IT operations to automate internal business processes. In the year 2022, the hype of artificial intelligence made many enterprises rethink their architectures and state-of-art strategies to build technological operations that focus on problems. In 2023, the largest research organizations across the world predict the hype of AI continues to increase and change as a reality.
The year 2022 and Artificial Intelligence.
If we look back to 2022, it is a disruption. Post-COVID-19 pandemic the rapid shift in social and market economies dynamics threw the global economy off the line. Regardless of the niche they serve, most businesses speeded up their digital adoption goals to build re-articulated strategies to keep pace with time. The post-pandemic effect has increased the hype for indulging artificial intelligence. Even though this is another year that the majority of organizations have vent virtually in operation, the growth for AI project deliverables has seen a drastic increase than expected. And undoubtedly, Artificial Intelligence will be the nucleus of many use cases that we will experience in the future.
TOP AI Trends In 2022
Whether it would be artificial intelligence, machine learning, deep learning, or NLP, sophisticated computer technology is becoming widely used to understand and improve an organization’s ability and enhance customer experiences. The below listed are a few areas where AI is explored in 2021 to build a sustainable operations architecture.
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AI-Powered Chatbots
With time, chatbots are becoming more reliable applications to serve a large group audience with customer service. Integrating AI is making chatbots more intelligent than ever. An AI-powered chatbot can recall some parts of client conversations and make them more personalized to enhance the customer experience.
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Data Access Enabling Ubiquity
Data is the fuel that makes AI more powerful and versatile. Data Access Enabling Ubiquity is one of the most recent advancements in AI. Reliable, and accurate information helps businesses to shift to AI-powered automated decision-making. Which reduces human errors and operational costs.
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AI in customer support and assistance
Artificial Intelligence in customer support and assistance is automating many internal business processes to provide high CSI. AI is mitigating the challenges with customer service representatives. Also, helping businesses in building a brand reputation to cut down the customer churn ratio.
The wave of data disruption has canalized the raw data to drive incisive insights. AI, NLP, and machine learning to process these insights help businesses in building predictive decision-making models. The data-driven decision models can optimize operations from customer service to product marketing for driving high ROI.
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Personalized/Remediation Assistance
AI-powered personalized recommendations are driving the attraction of consumers towards a product or a service based on their recent activities on a web page. Recommendation assistance is enhancing real-time marketing and increases sales. For instance, during the pandemic, the usage of OTT and video streaming platforms has increased massively. Using recommendations-based advertising on OTT platforms is driving new users and retaining existing customers.
What can we expect from AI in 2023?
2023 will be the year of AI explainability and transformation. As organizations integrate AI, explainability will become a major part of ML pipelines to establish trust for the users. Understanding how machine learning reasons against real-world data helps build trust between people and models. Without understanding outputs and decision processes, there will never be true confidence in AI-enabled decision-making. Explainability will be critical in moving forward into the next phase of AI adoption.
Even two years of the global pandemic struck, the wave of AI continued to disrupt every industry in 2022. Here are a few predicted trends for 2022:
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AI in cybersecurity
year-by-year the number of significant risks associated with cybersecurity is growing tremendously. Where AI can be immersed to analyze network traffic and recognize the defined patterns to prevent frauds, cyber thefts, and more cybercrimes by suggesting nefarious intentions of users.
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Low-code or No-code AI
Low-code or No-code AI integration solutions have been eliminating the challenges associated with AI-driven business. The simple interface as a solution is helping today’s businesses seeking AI adoption to construct increasingly complex AI systems.
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Autonomous vehicles
the trend for building and prototyping AI-powered autonomous cars, boats, and aircraft will also continue in 2023. this trend to revolutionalize the travel and hospitality industry will continue to advance with research and development. As an industry giant in automotive-like tesla, google, and ford, GM is promising to deliver AI-powered self-driving vehicles by the end of the decade.
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Creative AI
The experimentation of AI to create art, music, poetry, lyrics, and even video games is proving to be more successful than ever. IN 2023, we can expect inclined growth in this field as we are already seen applying AI in 2022 to automate our routine tasks associated with AI.
As discussed earlier, the impact of AI is unstoppable. AI helps businesses in exploring new opportunities to scale their outcomes and build sustainable solutions. The branches of AI mainly, machine learning, deep learning, computer vision, and NLP, remain a key trend. And when these technologies are incorporated with big data and data analytics, undoubtedly structuring the dynamics of the year 2023, to rethink business strategies and priorities to seamlessly scale operations and improve CSI. As the research and development in AI continue to grow, we can expect more innovations that reduce manual efforts, and human errors and ease human tasks in the upcoming future.
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