AI adoption is increasing, but governance is lagging, according to research

AI adoption is increasing, but governance is lagging, according to research ...

The use of artificial intelligence in various forms of operations is generating significant results for all kinds of companies, but there is a disadvantage: AIs'' full potential isn''t being realized due to a lack of human experience to optimize it for business purposes.

Despite a strong increase in AI adoption during the last 12 months, Juniper Networks and Wakefield Research have begun a research project that was published, but a shortage of human talent has kept the practice going forward. Both factors are essential to correct AI growth when it comes to privacy concerns, regulation compliance, hacking, and AI terrorism.

If the AI is embedded in the tool, you are placing it out at the edge of your organization. It is not centrally controlled, and you have to, like with many other things, maintain visibility, understand how its used, and how it secured. This is how you truly benefiting from this.

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According to Mandell, the parallel between the substantial increase in AI implementation in the company and the immaturity of AI governance and policies is staggering.

Governance should keep pace to ensure that the positives of AI deployment overshadow existing concerns of whether AI can be effective controlled. This is not the only challenge that is unique to AI, but all emerging technologies, according to Mandell.

The survey examines a few key takeaways:

According to Mandell, hiring the right people to operate and develop capabilities is a key investment strategy for optimizing AI. Three areas are the top AI investment options (21 percent each): hiring the right people to operate and develop AI capabilities; further training the AI models; and expanding the capabilities of the current AI tool into new business units.

AI is eventually transforming automation into other roles as well as humans, and many Junipers'' own customers are utilizing cloud AI in their networks to purchase support tickets, reducing the risk of tactical challenges to actually focusing on improving end users experiences, according to a media advisory. However, businesses more than ever need to responsibly manage AIs growth with proper governance to keep ahead of regulatory regulations and mitigate potential negative consequences.

Regulators are beginning to classify certain AI use cases as risky and requiring CE certification, according to the report. AI regulation is rapidly changing, and business leaders must make AI governance a major objective.

The survey surveyed 700 senior leaders across the world with a direct involvement in their organizations'' AI and/or machine learning (ML) plans or deployments.

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