A confluence of many factors – powerful computing in small form factors, edge computing, the integration of IT and operational technology (OT), 5G, and even the COVID-19 pandemic – has buoyed the adoption of artificial intelligence in a variety of industries. Valued at $93.5 billion in 2021, research firm Market View Research predicts the global adoption of AI will grow at an astounding 38% compounded annual growth rate until 2030.
So where does AI go from here? The experts shared six AI predictions for 2023.
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1. Generative AI will continue to garner attention, said Mike Krause, AI solutions director at Beyond Limits, an enterprise AI software firm. Generative models, like the digital image generator DALL-E, analyze data and interpolate to create something brand new.But generative AI models are not just good at creating digital images like DALL-E does. They are being used to discover new materials for battery design, carbon capture, and loads of other innovations, Krause said, who predicts that generative models will reach new heights in 2023. For example, expect developments in the healthcare space for vaccine modeling, drug discovery, and even personalized medicine supported by training data generated from electronic medical records, Krause said.
2. AI will become less of a black box, said Lee Howells, head of artificial intelligence at professional services firm PA Consulting. Howell predicts 2023 will see more organizations voluntarily publicizing their AI principles and outlining their processes.“There will be greater use of ‘explainable AI’ over black box models in areas that directly affect individuals,” Howell said. “Organizations with published AI principles and demonstrably ethical use of AI and data will see greater acceptance by the public of the use of their data.”
3. 2023 will see a marketplace for readymade AI models, according to Bryan Harris, executive vice president and chief technology officer at analytics software company SAS.“Coming soon are industry-specific AI model marketplaces that enable businesses to easily consume and integrate AI models in their business without having to create and manage the model lifecycle,” Harris said. “Businesses will simply subscribe to an AI model store. Think of the Apple Music store or Spotify for AI models broken down by industry and data they process.”
4. There will be a growing call for sustainable AI, said Adnan Masood, chief AI architect at digital transformation solutions company UST. More than ever, businesses are conscious of their environmental footprints, and sustainable AI describes the use of artificial intelligence in a way that does not have negative consequences for the environment or society, Masood says.