While the COVID-19 pandemic affected numerous aspects of how we do business, it didn’t reduce the impact of Artificial Intelligence(AI) on our day to day lives. It is turning out to be obvious that self-teaching algorithms and intelligent machines will play an important role in the ongoing battle against pandemic and others that we face in the near future. It is obvious that AI remains in trend and will change how we live, work and play. Artificial intelligence is a reason behind many technological comforts that are our daily lives, like smart gadgets, netflix recommendations, amazon’s alexa and Google Home. With continuous research, technology has made huge developments in fields like retail, healthcare, automotive, manufacturing and finance. Artificial Intelligence will keep on serving as a central technological innovation in 2021 and in the future. Let u see what we can expect in years to come.
Top 10 Artificial Intelligence And Machine Learning Trends-
1. Artificial Intelligence And Machine Learning In Hyperautomation-
Hyperautomation is a tech trend popular with other names as “Digital process Automation” and “Intelligent Process Automation”. It combines the appropriate technologies for automating, simplifying, discovering, designing, measuring, and managing workflows and processing across the organization. COVID-19 pandemic has rapidly increased the adoption of this concept where AI and ML are key components and its significant drivers. It includes some other technologies like robotic automation tools, but successful initiatives can’t depend on static packaged software. It is necessary for automated business processes to adapt changing circumstances and respond proactively to unexpected situations. Here comes the role of AI, ML models and deep learning. Adopting these algorithms and models with automated system’s data to make enhancements timely and respond to changing process and requirements of the business.
2. Augmented Analytics Will Transform Business Intelligence –
Augmented analytics uses ML and AI technologies for data preparation, insight generation, explanation to expand the way of exploration, data analysis in analytics and BI platforms. Artificial intelligence is proving to be a critical enabling technology, and enterprises need an efficient way to scale their AI practices and implement AI in business. Most of the times, organizations face high pressure to optimize their workflows, many companies will approach to BI teams to develop and manage AI/ML models. This empowers a new class of BI-based “AI developers” that will be driven by two factors-
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