Thinkers360 2022 Predictions are member-sourced from our opt-in B2B thought leader and influencer community with 100M+ followers on social media combined. The 2022 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 the artificial intelligence in 2022. Here’s what they told us…
What are your predictions for Artificial Intelligence in 2022?
2022 with being a year for mainstream AI API adoption, as companies will focus more on constructing open and internal AI API strategies. This will create more opportunities for organizations to monetize APIs and help businesses better build, test, and integrate APIs at scale with less experience and effort. Also, we will see further growth of applications for natural language processing APIs and more widespread adoption of API trends for video and image analytics processing.
– Ronald van Loon, CEO, Principal Analyst at Intelligent World
Not every company can afford data scientists and AI specialists. However the use of AI is everywhere. You see it in your social networks, email providers, ecommerce platforms, media sites…. The development of low code/ no code platforms will ensure a much greater access to AI and ML as access to application software (including AI) is done through a UI (Graphic User Interface) rather than lines of coding. I predict that with the rise of low code/ no code platforms we will see more and more AI based applications for the benefits of all.
– Nicolas Babin, President at Babin Business Consulting
Artificial intelligence and machine learning will play an increased role in automating our jobs. For the non-coders or non-data scientists, this will result in more advanced robotic process automation that will enable employees and managers doing office work to further automate their own work without knowing how to code. As a consequence, employees will be able to get more work done because most of the monotonous jobs can now be automated. However, if employees and management without coding expertise can use AI and ML to automate their jobs, of course, those with these skills can also apply the same tactics. Of course, this can be linked to using GPT-3 to write code faster but in 2022 we will also see more advanced, automated and intelligent hacking. Increasingly, hackers will turn to AI to get more work done, penetrate organisations faster and steal more data. At the same time, the people defending their companies will also turn to AI so more and more both hackers and IT security staff will use AI, resulting in a battle taking place at the speed of light.
– Dr Mark van Rijmenam , Digital Speaker, 3x author and founder of Datafloq
This 2022, many innovations in robotics, NLP, machine learning, mobility, IoT, and other digital technologies will make real artificial intelligence (AI) more powerful than we know it so far. That will take automation in every sector to another level. However, the winning businesses are the ones with the best digital strategy and, not the most technologies. Businesses that have implemented their digital transformation backbones and have a powerful digital strategy in place will increasingly cash on the opportunities of AI innovations in 2022. Businesses with a well-rounded data digital strategy and significant data will aim at dominating their market.
– M. Nadia Vincent, MBA, MIT Certified Digital Transformation & Innovation Executive Advisor, CEO at Digital Transformation Leaders
In 2020 and 2021, companies had to massively adopt AI and digital to make sure they could survive in a challenging environment. Some of them even thrived. In 2022, AI needs to become closer to people. After all, AI is built by people for people. When AI becomes a commodity, the winners are the AI applications that are the closest to their users. In 2022, AI will become even more accessible to non data scientists and no programmers leveraging drag & drop functionalities, friendly screens and no code functionalities. AI will leverage AI to suggest and help people use or build their AI applications faster and better. AI will more systematically utilize language to engage and interact with users creating a seamless interface with technology. In addition, AI will leverage automation to enable 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
The deployment of AI systems in most types of organisations will continue to accelerate. More breakthrough drugs will be discovered using AI, faster and more cheaply than was possible before. Companies will start to talk openly about how much revenue they are generating with AI, and how much cost they are saving. Waymo will be operating self-driving taxis in San Francisco with no safety engineer in the front seat. GPT-3 will be surpassed by The Next Big Thing in natural language processing, and senior military personnel in China and the USA will scare their governments and their people with warnings about what each other can now achieve with AI.
– Calum Chace, Best-selling writer and global keynote speaker on AI
Artificial Intelligence and Machine Learning will make impressive technical leaps in 2022 but I want to focus on trends that improve our ability to better harness AI. 1) Maturity of Enterprise AI We now have a much better understanding of several aspects of AI such as where to use AI, where not to use AI, the skills needed, and the AI technology stack. We are moving from AI sandboxes to AI at scale. We are graduating from ad hoc production deployments to more structured MLOps / AIOps methodologies and tools. This trajectory will continue, the enterprise AI stack will become more refined and lead to greater impact and business outcomes. 2) Emphasis on AI Governance The Enterprise AI playbook from identifying use cases to data acquisition and data labeling, from building and testing models to production deployments is getting standardized. But AI Governance is still immature. As AI adoption increases, corporate governance will include AI governance. AI governance will become an integral part of companies’ Environmental, Social and Governance (ESG) agenda. 3) Making AI Ethical and Accountable Progressive Organizations will commit to responsible usage of AI and will make impact analysis and algorithmic audits a part of their AI lifecycle. Governments and industry regulators will set standards and establish guidelines to minimize AI bias and harms. These regulations and industry self-regulation efforts will continue for several years. We will look back on 2022 as the year we all got serious about AI regulation.
– Kashyap Kompella, CEO and Chief Analyst at RPA2AI Research
In 2022, the adoption of AI will continue to accelerate across markets and economies. The combination of AI, Internet of Things, Automation and 5G will offer significant business opportunities in several sectors such as healthcare, supply chain and retail. Conversational AI will become very competitive. Vendors will focus on sophisticated functionalities and advanced features to differentiate their offering. Cybersecurity will turn to AI to assist with automation, analysing big data sets and reducing risk. The business focus will shift from pilot projects to deployment and scaling up AI applications. Low code AI becomes an attractive feature and will help break down barriers to adoption. Responsible AI remains the main theme, ethical use together with trust, transparency and explainability become critical to the advancement of AI. Sustainability and Green AI will gain more momentum.
– Dr Djamila Amimer, CEO and Founder at Mind Senses Global
AI and Machine Learning continue to play a pivotal role in business processes. Some estimates predict that the global AI market will reach $118 billion in 2022. Executives consider AI and ML as game changers and they have improved productivity through AI tools. AI makes performance easier and more efficient. The use of AI for cybersecurity applications will increase in 2022. More than 80% of developing technologies will have an AI foundation. AI and ML will continue to make devices and services smarter and improve performance and scalability. Organizations that deploy AI by functional areas include external communication, customer interactions, and logistics & supply chain. Brands should keep on investing to better customer experience, improve employee productivity, activate innovation, speed up new product development, and increase competitiveness. Fortune favors the brave and the top enterprises have been driving top-line revenue growth.
– Vladimer Botsvadze, CEO at Botsvadze Marketing Solutions
2021 has shown a remarkable upswing in AI inferencing at the edge, primarily for video processing use cases for security and manufacturing. My prediction for 2022 is that AI inferencing at the edge will explode beyond these limited use cases to a wide range of enterprise scenarios, further driving high-performance edge computing deployments across the board.
– Jason Bloomberg, President at Intellyx
We continue on our journey to automation outside the traditional mechanical world. Many of the assumptions about the power of AI only come true with a phased approach to building models and evolved processes. As more and more companies in a vast array of business areas connect their data into these revised processes we will see increasing examples of AI being applied to discrete and increasingly inter connected work processes. We are at what you could call the near tipping point where these processes and data have had an increased focus from businesses as they struggle to get skilled labor and at the same time have recognized how the power of their learnings in initial AI projects can go mainstream. 2022 will be fill of real examples of AI brining used in a vast array of application areas as a more common theme.
– Michael Gale, Chief Marketing Officer at Wind River
AI adoption will be the prime focus for top vendors. To that end, I see a move to DIY AI tools and many more SaaS offerings in the marketplace. Even Big-Tech will try and make their complex AI suites more self-service friendly to enable faster and easier implementations with clients. Overall, much more depth and breadth in the AI ecosystem in the coming year.
– Samiran Ghosh, Board Member at Intelligent Automation Advisory
In 2022, the use of artificial intelligence techniques to deliver more effective automated and intelligent analysis of footballer performance will increasingly be critical to leading soccer clubs in their selection, recruitment and development of elite footballers. Initially driven by gaming corporations, the collection and deployment of huge quantities of footballer attributes are now key to broadcasters, pundits, betting organisations and the clubs themselves. However, the quality of the data, often subjective, and the methods of analysis being deployed are only scratching the surface of what can now be delivered by exploiting cutting edge artificial intelligence techniques supported by the availability of massively increased processing power. Clubs’ seemingly endless pursuit of elite player talent will remain fundamental to their business success. The pressures on clubs to identify successful transfer targets, at the right fee and consequent salary and bonus package, is a very significant issue for all clubs and particularly for the elite clubs facing seemingly unending price escalation. As with all pursuits of excellence, achieving those additional fine margins of improvement will define the success or otherwise of the huge financial investments demanded. It is the clubs that are first to take advantage of this opportunity to take this major leap forward that will probably be uncatchable.
– Dr Ed Wakelam, Research Fellow at University of Hertfordshire
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