Experts Reveal Top AI and Data Science Trends Shaping 2022
Leading technology experts review the major AI, data science, and machine learning developments of 2021 while forecasting the critical trends driving the industry forward in 2022.
A panel of leading technology experts reviews the significant advancements in artificial intelligence, data science, and machine learning that emerge throughout 2021. As the world gradually returns to normal, the tech industry sees rapid evolution and expansion of AI into new domains, including multimodal applications and smaller edge devices. This annual expert roundup highlights the most critical shifts that currently define the data landscape.
Among the most prominent developments is the growing emphasis on responsible and explainable AI, which helps users understand exactly how complex algorithms work. Experts also point to hyperautomation as a major trend, combining interconnected technologies like AI, machine learning, the Internet of Things, and robotic process automation to streamline business operations.
Looking ahead to 2022, several key trends take center stage, including AutoML, data-centric approaches, data mesh, and data fabric architectures. The industry also sees significant momentum in low-code and no-code AI platforms, MLOps practices, GPT-3-like large language models, deep learning advancements with PyTorch, and the continued push to address the persistent talent gap in technology staffing.