Cisco Introduces New AI Research Initiative

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A recent report by Cisco reveals that only 14% of organizations worldwide are fully equipped to implement AI-powered technologies. The study, which surveyed over 8,000 companies, shows significant gaps across key business pillars such as strategy, infrastructure, data, governance, talent, and culture. These shortcomings pose a risk for businesses as they race against time to integrate AI within a year to avoid negative impacts.

Boards and leadership teams are more receptive to AI changes, with 82% showing high or moderate acceptance, while middle managers are less receptive at 22%. The urgency to implement AI has surged in the last six months, with 97% of organizations feeling the pressure. However, infrastructure readiness is lacking, with only 17% having networks prepared to handle increased AI workloads.

Data readiness is another challenge, as 81% of companies struggle with siloed data, hindering AI integration. Talent and governance also present gaps, with discrepancies in AI acceptance between leadership and employees. While 90% of companies invest in upskilling employees, 29% face difficulties finding qualified talent.

The report points to the need for comprehensive AI policies, as 76% of organizations lack them. Culture readiness is low, with 21% having change management plans for widespread AI adoption. Despite these challenges, there is high motivation to prioritize AI adoption within organizations.

The new Cisco AI Readiness Index, developed from a survey of 8,161 business and IT leaders worldwide, evaluated companies across strategy, infrastructure, data, talent, governance, and culture. Based on the findings, organizations were classified into four groups: Pacers, Chasers, Followers, and Laggards based on their level of readiness across the pillars.

Cisco underscores the importance of addressing these gaps to capitalize on the transformative potential of AI. To achieve this, organizations must secure and monitor AI models, protect data, and deliver reliable and responsible AI outcomes. The overall goal is to drive inclusive future by reinventing applications, driving hybrid work, ensuring business protection, and promoting sustainability.

In conclusion, the report highlights the urgent need for organizations to enhance their readiness for AI integration across critical business pillars. By addressing these gaps and investing in comprehensive AI strategies, companies can leverage the transformative power of AI to thrive in the increasingly AI-driven business landscape.

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https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2023/m11/cisco-launches-new-research-highlighting-seismic-gap-in-companies-preparedness-for-ai.html