The common mental image of AI is a group of sentient robots conspiring to overthrow their human overlords.
But even though that’s still a long way off, by 2022, AI will have permeated every aspect of customers’ life. It comes in the shape of helpful recommendations as people buy online, answers to their inquiries from the knowledge base, and grammatical corrections while they compose emails.
This pattern continues from what was seen last year. As of 2021, 57% of enterprises in developing economies have implemented AI, up from 45% in 2020, according to McKinsey’s “The State of AI in 2021” study. Although AI adoption remains slow, according to a 2022 IBM poll, 80% of businesses still want to use the technology in some capacity over the next several years.
As a result, I anticipate that artificial intelligence will be widely used in 2023 as a tool to propel the software sector forward. Users will see the technology’s contextual comprehension of written and spoken language, its aid in making choices more quickly and accurately, and its ability to reveal the wider picture narrative behind seemingly unrelated data sets.
Personal data protection is a major concern
Unfortunately, rising worries accompany these promising new advancements. For the foreseeable future, consumer privacy will be a hot subject of conversation and a major source of anxiety (in fact, if the metaverse fails to catch on, it will be because of privacy fears).
To complete the AI puzzle, training is required, and the methods now in use have a significant risk of adding biases such as misinterpreting spoken language or skewing data sets. At the same time, media and global government have not caught up to where AI is now or where it will be in 2023.
Despite these challenges, I expect to see AI continue to make a difference for businesses in 2023, and that these businesses will capitalise on AI’s success by enhancing customer experiences and internal operations. To achieve this goal, one must maintain a laser-like focus on potential issues, positive developments, and the implementation of innovative solutions. Find out more about the three topics, as well as how businesses may get started, below.
Deep learning becomes the norm
As has been previously indicated, widespread use of AI is on the horizon. Artificial intelligence (AI) will probably be built in from the start for devices, applications, and experience platforms. With no option to opt out, existing public anxiety over artificial intelligence (AI) is certain to escalate and intensify.
In this respect, privacy is king. Customer trust in internet firms has taken a hit in the wake of high-profile data breaches at companies like LinkedIn, MailChimp, and Twitch. This is regrettable since previous research has shown that customers are prepared to provide some personal information in exchange for a more satisfying interaction. According to the Global Data and Marketing Alliance’s assessment on consumer attitudes on data privacy in 2022, over half of people are OK with sharing their information, and more than half think it’s crucial for keeping up with the times to do so.
Since there is no universal agreement on what constitutes best practises, it is difficult to gather useful information. Although artificial intelligence (AI) has been around for some time, the field is still in its infancy, and there is little to no governance in place to ensure uniformity from one company to the next. For instance, California is one of just a handful of states that have implemented robust consumer privacy protection legislation in the form of the California Consumer Privacy Act (CCPA). (There is pending legislation in certain states, including Utah and Colorado.)
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