Top AI and Data Science Trends Shaping 2022
Leading technology experts review the major artificial intelligence and data science developments of 2021 while highlighting the key trends expected to dominate the industry in 2022.
A panel of leading technology experts reviews the major artificial intelligence and data science developments of 2021 while highlighting the key trends expected to shape the industry in 2022. These specialists identify a significant shift toward more transparent and trustworthy systems, making responsible and explainable AI a top priority for organizations worldwide.
The broader technology landscape shows rapid expansion into new domains, including multimodal applications and smaller edge devices. Experts note strong growth in hyperautomation, which combines multiple interconnected technologies like AI, machine learning, the Internet of Things, and robotic process automation to streamline complex business operations.
Additional key trends for the upcoming year include the rise of AutoML, low-code and no-code AI platforms, and advanced MLOps practices. The industry also focuses heavily on data-centric approaches, data mesh architectures, and GPT-3-like language models as organizations strive to bridge the persistent talent gap in data science.