Thinkers360 2023 Predictions are member-sourced from our opt-in B2B thought leader and influencer community with 100M+ followers on social media combined. The 2023 Predictions are part of a series to provide actionable insights for business and technology executives.
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We asked a selection of our Thinkers360 global thought leaders and influencers about their predictions for Artificial Intelligence in 2023. Here’s what they told us…
What are your predictions for Artificial Intelligence in 2023?
In 2021 and 2022, companies had to massively adopt AI and automation to survive in an environment challenged by COVID and economic instability. Thanks to this higher adoption of AI, some companies thrived, for example by discovering new ways to make business online or by proposing new services to their clients. In 2023, AI needs to become closer to people. After all, AI is built by people for people. In 2023, AI will become more accessible to non data scientists and non programmers by leveraging drag & drop functionalities, friendly screens and no code. AI will more systematically utilize natural language to engage and interact with users, creating a seamless interface with technology. In 2023, more than ever, AI will help make our world more human by enabling people to focus on the most value-added and fulfilling work activities involving creativity, relationship and strategy.
– Pascal BORNET, Chief Data Officer at Aera Technology.
AI is here and all around us. From Siri to Uber to Amazon’s warehousing and the financial markets. By 2025, 85% of us working in manufacturing will have a co-bot colleague. Artificial intelligence will by the end of 2023 be a front-line worker in our design, automation models and how we think about work. If you are not thinking about how to apply AI in your work processes from legal documentation to software code verification then you will start to feel like a follower, a slow follower by the end of 2023. Those that apply AI in their processes will start to see significant differences in OPEX, market capture and agility which has to be the key theme for a tumultuous world that will surely be 2023. Applying AI code to everything should be a standard post it stuck on all our screens in 2023.
– Michael Gale, CMO, Snr VP at Wind River.
With the raging inflation, supply chain disruptions and geo-political conflicts, we are going through a renaissance of manufacturing in the US. AI in smart manufacturing and IoT is going to be the front and center of the competitive and sustainable advantage in this new era. I expect to see waves of AI breakthrough innovations throughout the supply chain and manufacturing processes. The loss of blue collar jobs will be offset by greater demand for talents specializing in applying AI to drive efficiency, reliability, safety and scalability.
– Helen Yu, Founder & CEO at Tigon Advisory Corp.
In 2023, we’ll see increased emphasis on Generative AI development for applications such as producing synthetic content for sales and marketing, video editing, coding support, legal contracts, and product design. Generative AI will also be pivotal in scaling more immersive, personalized, and realistic metaverse experiences. There will also be more focus on growing network capabilities and advancing exposed functions to unlock the full potential of AI and enable new enterprise use cases to improve applications and immersive user experiences. This will help realize the potential of completely virtual metaverses and support the ability to implant virtual content into physical environments.
– Ronald van Loon, CEO, Principal Analyst at Intelligent World.
The growing use of any digital technology has definitely helped the expansion of the worldwide artificial intelligence industry in recent years. Last year, I predicted that no code/ low code platforms were going to be the main trend in 2022 and this is what we have seen. In 2023 as the need for artificial intelligence grows across several end-use sectors, I predict that we are going to see new types of applications in sectors such as automotive (with the rise of autonomous vehicles), healthcare (thanks to wearables), banking & finance, manufacturing (with more robots been used), logistics, and retail. Generally, we see that AI is now employed primarily for analytics, security, sales and marketing and to improve customer experience. I also predict a rise in 2023 in such applications.
– Nicolas Babin, President at Babin Business Consulting.
In 2023, AI adoption will focus on predictive analytics. Businesses across several economies and sectors will use the predictive capabilities of AI to predict several business factors and environments including: equipment break down, safety risk, fraudulent transactions, supply chain bottlenecks and projects completion. Conversational AI will still attract more funding and new entrants. Information security and cybersecurity will increasingly use AI to reduce threats. We will see the rise of digital avatars and more applications at the intersection of AI and other technologies such as: metaverse, IoT, drone technology and digital twins. The rise of data and insights democratisation will enable organisations to make effective decisions based on real time data. AI ethics and Responsible AI remain the main themes, some AI applications could be ruled out or restricted such as AI facial recognition and emotion AI. Sustainability and Green AI will gain more traction with the increase carbon footprint generated by big AI models.
– Dr. Djamila Amimer, CEO and Founder at Mind Senses Global.
Hybrid AI will be the focus for organizations operationalizing machine learning in 2023
Symbolic AI was the focus for machine learning in early days of AI but fell into disfavor as statistical approaches improved and technology evolved to deal with newly available data sources. Statistical approaches can only go so far and knowledge representation (symbolic AI) is needed – especially for the “last mile” of cognitive AI – digital assistants, virtual agents and high functionality chatbots. Chatbots are a channel and this class of tool is only as good as the data, knowledge and content. For data intensive statistical approaches, a reference architecture in the form of an ontology will also improve machine learning capabilities. Hybrid AI marries statistical and symbolic AI – knowledge representation with machine learning.
– Seth Earley, CEO at Earley Information Science.
In 2023, large language models, the enormous, multi-billion parameter natural language processing models that are also known as foundation models, will get even larger. They will also continue to surprise researchers with their capabilities, and will become less “brittle”, i.e. less inclined to make what look to humans like silly mistakes. Partly as a result of this, many more people will start to take the possibility that artificial general intelligence (AGI) and then superintelligence may arrive within a decade or two. It will still be a minority view, but among that minority will be some very rich people, with the result that funding for research into AI safety (how to make sure that advanced AI is beneficial to humanity) will increase sharply. The number of people working full-time on AI safety will at least double from its current worldwide number of around 300.
– Calum Chace, Author of “Surviving AI” and “The Economic Singularity”.
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