How artificial intelligence will develop in 2023

Many factors, including powerful computing at small scale, edge computing, integration of IT and operational technology (OT), 5G, and even the COVID-19 pandemic, are driving the adoption of AI across industries. Market research company Market Viewresearch predicts that the global application value of artificial intelligence will reach US$93.5 billion by 2021, and until 2030, the compound annual growth rate of artificial intelligence will reach an astonishing 38%.

So where will artificial intelligence go? Experts shared 6 predictions for artificial intelligence in 2023.

1. Mike Krause, director of artificial intelligence solutions at enterprise-level artificial intelligence software company BeyondLimits, said that generative artificial intelligence will continue to gain attention. Generative models, like the digital image generator DALL-E, analyze data and plug in to create something entirely new.

But generative AI models are not only good at creating digital images like DALL-E. They are used to discover new materials for battery design, carbon capture and other innovations, Krause said, predicting that generative models will reach new heights by 2023. For example, vaccine modeling, drug discovery, and even personalized medicine supported by training data generated from electronic medical records are all expected to grow in healthcare, Krause said.

2. Lee Howells, director of artificial intelligence at professional services company PAConsulting, said that artificial intelligence will no longer be a black box. Howells predicts that in 2023 more organizations will voluntarily publish their AI principles and outline their processes.

Howells said: "In areas that directly impact individuals, 'explainable AI' will be used more, rather than black box models." "Those who publish the principles of artificial intelligence and have a clear understanding of artificial intelligence Organizations that demonstrate clear ethical use of data will see their use of data more widely accepted by the public."

"As more and more artificial intelligence (systems) are deployed across various industries , regulators are eager to ensure that all artificial intelligence models operate as they should, without any bias and discrimination," noted Lian Jye Su, director of artificial intelligence and machine learning research at ABI Research. He believes that while explainable AI will make the process more transparent, it will require several market developments to occur, including a supporting model development and deployment infrastructure that can show inputs and outputs and the relationships between processing layers. , introducing explainable AI models by default, as well as clear regulatory guidelines and principles.

3. Bryan Harris, executive vice president and chief technology officer of analytics software company SAS, said that there will be a market for ready-made artificial intelligence models in 2023.

“There will soon be a marketplace for industry-specific AI models that will allow enterprises to easily consume and integrate AI models across their business without having to create and manage the model lifecycle,” Harris said. “Enterprises Just subscribe to an AI model store. Think of the Apple Music Store or Spotify, where their AI models are broken down by industry and the data they process."

4. Chief of UST, a digital transformation solutions company Artificial intelligence architect Adnan Masood said there will be an increasing need for sustainable artificial intelligence. Massoud said businesses are more aware than ever of their environmental footprint, and sustainable AI refers to the use of artificial intelligence without negative environmental or social impacts.

Masood said, “The goal of sustainable AI is to create a technology that does no harm to the planet or its inhabitants. This includes using renewable energy, developing recycling and waste management projects, and developing policies to protect workers. Policies not to be replaced by robots. To achieve these goals, by 2023, companies will plan to involve all stakeholders in the development process, including government officials, industry leaders and the public."

5. Will see Artificial intelligence models increasingly use synthetic data, Masood predicts. "For several business use cases, the future of AI is creating synthetic data for their domain," he said. “This data helps businesses better understand their customers and make more informed decisions.” Masoud said that by 2023, synthetic data will become increasingly reliable and used to create Realistic models of customer behavior, which can improve marketing campaigns or target new markets. “In addition, synthetic data will be used to test new products or services before they are launched to ensure they are ready for the real world.”

6. AI systems will become increasingly multi-modal, Ability to process information from multiple sources such as images, audio, sensor data and video. "This insight can be used to create better customer service and medical diagnostic experiences," LianJyeSu said.

Su emphasized that successful AI implementation requires a delicate balance and understanding of people and processes, just like any other technology. "AI developers and IT staff will increasingly be challenged to communicate and use their interpersonal skills and human behavior to overcome obstacles while trying to successfully leverage AI," he said. "The new frontier points to 'social' 'AI developers, data scientists and data engineers."

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