Artificial intelligence is making its presence felt in more and more areas of our life. But what impact will this have on digital transformation projects, legislation and more?

Industry experts have given us their perspective.

AI and 5G will converge, thinks Vinay Ravuri, CEO of EdgeQ: “The convergence of 5G and artificial intelligence will become more essential and value-oriented. Businesses will expect 5G and AI to be seamlessly integrated as a key value center of 5G deployment. This will include the use of AI for advanced network automation and intelligent analytics to streamline operations, optimize network performance, and increase overall efficiency. These capabilities will be important in the deployment, management and operation of 5G. “

Nick Thomson, Managing Director of AI at iManage, says more transparency is needed: “More and more, there is a need for greater explicable with AI. Users need to be able to say how and why the AI ​​arrived at a particular decision rather than simply seeing AI as a “black box” whose thought process is completely opaque. Since AI is used to help both automate processes (extract mountain clauses from contracts, for example) and decision making (apply rules and logic to extracted information), it There must be more explicability of this decision – level of manufacture. Ensuring that the rules and logic behind a decision are not only fully explainable to a human, but also defensible, is key to ensuring that AI doesn’t inadvertently make bad decisions based on poorly trained models. , unintentional prejudices or other flawed logic. “

Benoit Grangé, chief technology evangelist at OneSpan, believes AI will drive the regulatory agenda:

The use of artificial intelligence in finance has grown massively in 2021, and it will only increase in the years to come. According to a recent OneSpan survey, 32% of FIs are already implementing AI to comply with regulations. Jurisdictions around the world are eagerly seeking to develop solutions based on AI, while taking into account the ethical implications of its use, such as combating racial prejudices that creep into facial recognition algorithms. Policies and legislation related to the use of artificial intelligence will lead to regulations in 2022 and beyond.

In March, U.S. financial regulators issued an Information Request for comment from financial institutions on their use of AI. Regulators wanted to understand how AI is used in the provision of services to customers and for other business and operational purposes. This information will probably lead to a notice of draft regulation, the precursor of a regulation. We expect them to be released in 2022. The federal regulatory measures should come as no surprise to financial institutions based on our recent research by Arizent: 43% of US financial institutions noted that the anticipated federal regulations on l ‘AIs are a major concern.

The regulation proposed by the European Commission on artificial intelligence aims to encourage the development of AI, while classifying and regulating AI solutions according to risk. The regulation is currently progressing through the legislative process. If the legislation is adopted, it will not take place until the end of 2022 or 2023. We expect that the first regulation will be published in 2023, so it can come into force in 2024.

This is echoed by Blake Hall, CEO and Founder of ID.me, “The United States will outline a comprehensive privacy framework, similar to the EU’s GDPR, to govern the use of AI and biometrics. This can take the form of industry alignment with existing state laws such as the California Consumer Privacy Act (CCPA) and the California Privacy Rights Act (CPRA), a voting measure approved by California voters in November 2020, to avoid a fragmented ecosystem. ”

Sam Babic, SVP and Chief Innovation Officer at Hyland, believes AI is playing a key role in digital transformation. “Artificial intelligence has been recognized as the main enabler of digital transformation in many sectors. The advances made by many companies in AI will continue to expand into 2022, as people across the company realize AI’s capabilities for productivity, efficiency and optimization. With the continued focus on the power of AI, automation will become more prevalent to help streamline business processes as we further settle into hybrid work. The extent to which automation and AI can now achieve is greater, enabling a more powerful and robust digital transformation. AI will continue to increase adaptability, innovation and flexibility across the enterprise. “

Contact centers will become dependent on AI, said Patrick Ehlen, vice president of artificial intelligence at Uniphore. “AI quickly gained wide acceptance in the business world and has proven to be an important part of business processes. As the labor shortage continues to persist, companies cannot risk depleting their agents, so they will look to AI technology to help them offload the mundane tasks that agents do. dislike while increasing their ability to solve customer problems. Without a doubt, in 2022, consumers will also embrace artificial intelligence to make their lives easier while preserving their ability to talk to humans.

Michael Krause, senior director of AI solutions at Beyond Limits, sees advancements in natural language processing. In general, major advances in AI technologies are difficult to predict. However, 2022 will be an exciting year, a potential new language model, GPT-4, brings with it the hope of dramatically improving the Natural Language AI. Automatically generated articles that are indistinguishable from human writing, enhanced real-time linguistic translation and meta-learning capabilities are just a few ideas of what might follow. The advancement of technology not only in one sector, but within each industry. “

Predictive analytics will drive new emerging use cases around the next generation of digital applications, thinks Nelson Petracek, CTO of TIBCO. “Technology will become more immersive and integrated, where predictive analytics capabilities will be seamlessly integrated into the systems and applications with which we interact. Predictive analytics will drive use cases in next generation applications such as metaverse applications powered by technologies such as IoT, digital twins, AI / ML and XR) and the next generation of composable applications. “

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