Artificial Intelligence has set sail to become one of the most innovative and transformative technology solutions by the year 2022. Ambitious people like Sundar Pichai believe AI to be a bigger wonder than the discovery of fire and electricity. Brave statements like this have attracted heat from even expert-vetted AI engineers, but given AI use cases like battling climate change, improving medical care, and extending space exploration, we can't wait to see what it brings next!
Trusting machines and computers to make full-scale decisions based on data and programmed algorithms is a long shot, at least for now. But one thing’s for sure: the year 2022 will become a turning point, powered by bleeding-edge technologies and whopping breakthroughs.
Still, wondering about AI's potential? Check out our top pick of breakthroughs that will likely occur in 2022:
1. Workforce Augmentation
AI's computational abilities can make some human roles redundant because it’s fast and helps save money. However, as we approach 2022, many forward-thinking companies have already developed specialized technical training programs. They aim to incorporate AI literacy, so workers can leverage machines and optimize their day-to-day activities. Future workers will coexist with high-powered machines, harnessing their smart cognitive functionalities to accelerate decision-making across every department. Existing examples demonstrate that marketing departments are making use of such technology for lead generation. Engineers use AI to leverage preventive maintenance models- allowing machines to self-diagnose their issues. Given the inevitable growth of such technologies, humans will witness enhanced cognitive abilities and better problem-solving abilities in 2022.
2. ModelOps Adoption
As more businesses successfully implement and expand AI models, ModelOps has become a vital business activity. The phrase "ModelOps" refers to the corporate capacity centered on the administration and lifecycle maintenance of all forms of decision-making models, including classical statistical approaches and AI concepts. ModelOps is involved with all aspects of a model's life cycle, from the time it is launched into production through (and even beyond) its final deployment. This interacts with IoT devices and edge computing apps via cloud-based remote installations. It’s safe to say 2022 will push companies to make changes based on intelligent models that are in line with established parameters.
3. Adoption of Composite AI
Moving on, composite AI is indeed a team game since it necessitates diverse expertise and involvement from professionals across the whole AI spectrum. Businesses in 2022 will gradually develop their composite strategic plan based on the business issue(s) they most likely want to address, rather than becoming overwhelmed or focusing too heavily on a single AI technology. Organizations will require enterprise infrastructure that supports composite AI, also referred to as composite design. There is indeed a high need for this emerging AI breakthrough in a variety of sectors for developing augmented cognition across enterprises.
4. AI and the Metaverse
The Metaverse will construct sustainable and precise immersive experiences by combining augmented and virtual reality (AR/VR) with AI and Blockchain technology. Several firms are developing new AI models for bringing AI-powered virtual avatars into this ecosystem. Metaverse is a new internet-accessible place that provides a completely realistic virtual reality experience with automation and artificial intelligence. AI research at the organization covers a wide range of topics, including systematic review, self-supervised voice synthesis, robotic interfaces, object tracking, whole-body position assessment, and so much more.
5. Semantic Automation
One of several top AI advancements in 2022 is semantic automation, which assists user agencies in creating meaning and connections whenever the displayed significance is absent or inaccurate. Semantic AI is the foundation of the tech-driven world, dedicated to revolutionizing enterprises using massive amounts of data. With the development of large amounts of data and the establishment of operational databases within enterprises, ontologies are becoming increasingly vital for documenting the links between pieces of data to reduce silos and strengthen current ML capabilities.
Given the looming amount of increasing data, end-to-end manual processes need to be automated and integrated with bleeding-edge technologies. Considering AI's multi-faceted and omnipresent approach, the technology will witness rapid growth in 2022. Existing movements show how accessibility, governance, democratization, and automation are the main objectives for firms across the world. Moving forward, companies must keep their models and ecosystems easy to understand, and, of course, future-proof.
Artificial intelligence and its role in business are becoming increasingly important. Conovo Technologies aims to keep you up to speed with our expert AI engineers at your service. We can design and develop intelligent solutions for web, phone, and robotic applications. We leverage breakthrough technologies to solve critical challenges for our clients across the world.