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10 AI Predictions for 2022: From Automation to Robots that Clean

  • 3 mths ago

As artificial intelligence technology becomes more widely adopted by businesses—integrated in everything from chatbots to threat detection (and so much more), it’s hard not to wonder “what’s next?” We posed that question to members of CompTIA’s AI Advisory Council and received some enlightening and eye-opening responses. Here’s look at what the AI leaders said to expect in 2022. Note: These predictions are the personal opinions of the individual council members and do not represent the views of the AI Advisory Council as a whole or the members’ respective employers.

Increased Fairness and Transparency Awareness to Pervade AI Initiatives

“We expect organizations to adopt an AI-first approach to platforms, processes and digital transformation, with embedded AI at the core of operations optimization. In addition, Responsible and trustworthy AI is something that will grow substantially in the next year. This will be led by organizations in regulated industries driving fairness and transparency as persistent initiatives within their operational AI systems.” – Mechie Nkengla, CEO and chief data strategist, Data Products LLC

Recommendation Engines Take Centerstage with Consumers

ML-powered recommendation engines will play an increasingly large role in consumer technology as behavioral data is leveraged to minimize decision fatigue and optimize user experiences.” – Lloyd Danzig, chairman and founder, International Consortium for the Ethical Development of Artificial Intelligence

Better, More Accessible Language Models

“This year, large language models (foundation models), commonly used in enterprise applications like chatbots and language translation, will be made more accessible through SaaS and APIs. Even as the models get bigger and bigger, moving from billions of parameters to trillions of parameters, open-source research efforts will help enterprises build better services by providing them tools to easily train, deploy, and scale these language models.” – Uday Tatiraju, vice chair, CompTIA AI Advisory Council

Multimodal Architectures Integrating Video, Audio, Text

“I'm looking forward to the advancements in multimodal AI architectures that can efficiently integrate video, audio, and text. We will begin to see these multimodal models embedded in many real-world applications apart from digital art and marketing.” – Uday Tatiraju, vice chair, CompTIA AI Advisory Council

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