As artificial intelligence continues to revolutionize various industries, organizations are exploring new ways to leverage the transformative potential of AI technology. on the other hand, majority of business leaders You believe AI is essential to business sustainability, but are your organizations successfully implementing AI?
According to research from Hewlett-Packard Enterprise Company (HPE), too many companies have a false sense of confidence in their AI approaches. The report highlights important issues such as deficiencies in network and computer provisioning, low data maturity levels, data readiness, and compliance considerations as organizations work to continue investing in AI. It became clear that I had overlooked an area.
These gaps can undermine an organization's ability to successfully deliver on AI outcomes and negatively impact future return on investment (ROI). Short-term decisions about AI investments can pay off, but more sustainable success requires a deeper understanding of the entire AI lifecycle.
An HPE report found that less than half of IT leaders admit they fully understand the demands of AI workloads. This raises serious questions about the ability to accurately provision AI workloads.
There are also concerns about low data maturity levels. Only 7% of organizations develop the ability to push or pull real-time data to enable innovation and monetization of external data. Similarly, only 26% have a data governance model in place for advanced analytics.
Even more alarming, fewer than six in 10 respondents said their organization was fully capable of handling any of the key stages of data preparation for AI models, including access, storage, and processing. . Without the ability to properly prepare data for AI models, organizations run the risk of delays in AI creation, lack of reliable insights from AI models, and negative ROI.
“There is no doubt that the pace of AI adoption is accelerating, with nearly every IT leader planning to increase spending on AI over the next 12 months,” said Sylvia Hooks, vice president of HPE Aruba Networking. states. “While these findings clearly demonstrate an appetite for AI, they also highlight very real blind spots that can stall progress if we don’t follow a more holistic approach.”
According to Hooks, a misalignment between strategy and departmental engagement can be a major impediment to AI success, as it hinders a company's ability to make the most of its expertise and resources in implementing AI. Hooks recommends a holistic AI strategy that benefits every part of the organization.
Despite the ever-increasing importance of ethics and Enhanced AI compliance monitoring Based on the report's findings, the regulator notes that these two areas are being ignored by organizations. It is concerning that legal/compliance (13%) and ethics (11%) are considered the least important to AI success by IT leaders. A quarter of organizations do not involve their legal team in their AI strategy at all.
The report shared some key tips to address these worrying gaps and blind spots. Just because AI is a trendy technology, we recommend not rushing to introduce it. Don't let the fear of missing out overshadow your business needs. Organizations should assess their desired business and leadership outcomes to determine where AI will be most helpful and focus there.
Organizations must also have a comprehensive AI strategy that extends across the business and includes all stakeholders. Additionally, organizations need to leverage the technical expertise of their IT teams and the business acumen of their executives to ensure collaboration between IT leaders and executives.
Finally, this report recommends a nuanced approach to AI implementation by understanding the entire AI lifecycle. Ensuring successful AI outcomes requires careful consideration and optimization at each stage of AI implementation. These tips will help your organization transform data into actionable insights and derive more value from your AI initiatives.
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