<p>Is your organization AI ready? Take our assessment. See how the results can guide your journey.</p>
AI is far from new, but now it is driving change that will impact how the global economy and the people who fuel it live and work. Like the Industrial Revolution, the advent of the internet, and the mobile phone, AI will bring increased innovation, connectivity, productivity, and opportunity. But are organizations ready for the risks and impacts, both technological and cultural, it poses?
Find out if your organization is ready.
Take the assessment
See how other organizations stack up
Cisco evaluated more than eight thousand private sector businesses spanning 30 global markets to measure AI readiness across six key pillars: Strategy, Infrastructure, Data, Talent, Governance, and Culture. The Cisco AI Readiness Index categorized organizations into the following levels.
14% Pacesetters (fully prepared)
34% Chasers (moderately prepared)
48% Followers (limited preparedness)
4% Laggards (unprepared)
Congratulations! You’re in the top 14% of global organizations who are feeling prepared and ready to tackle AI. You scored an 86 or higher on the Cisco AI Readiness Assessment. You’re hitting the ground running and are taking the necessary steps to adopt, deploy and leverage AI across your business. Here is some helpful tips to keep you on the fast-track so you can keep your competitive edge.
Monitor network usage and performance to ensure AI workloads are supported and you can keep scaling to meet additional demands.
Test AI algorithms consistently to eliminate bias and potential ethical concerns.
Nurture your talent and continue to upskill employees to further develop a culture that embraces AI and minimizes fear.
Keep security top of mind to protect data and ensure responsible AI usage.
Congratulations, you’re on the right path! You’ve started your AI journey and feel moderately prepared to adopt this technology to benefit your business. Cisco can help you build a scalable architecture that supports the additional demands of AI workloads, and delivers a reliable, secure, experience for your users.
Understand the current AI IQ of your employees from the top down and the bottom up.
Know your data. Work to get siloed and fragmented data clean and centralized, keeping security top of mind to reduce risk.
Document how you continue to build and support ethical and responsible usage of AI — ensuring accuracy, privacy, and security of data.
Monitor network usage and performance to ensure AI workloads are supported and you can scale to meet new demands.
Test if AI algorithms are consistent with bias elimination to ensure responsible AI usage.
Deep breath. It is important to recognize that not every company, despite their optimism, is fully equipped to adopt AI — yet. Being AI-ready requires much more than technology. You need to ensure you have an agreed upon strategy, goals, data hygiene practices, and the talent and culture to support even the best laid plans. By taking your time to address these key elements you can integrate AI successfully into your organization.
Identify storage, data processing, and network capacity needs.
Ensure the network capacity can handle additional AI workloads.
Create and document responsible principles for the development, deployment and usage of AI.
Train employees about how AI can help, not hinder their role and contribution, and be transparent about the usage of AI to create a culture of collaboration.
Go slow to move fast and measure your progress. Share the wins and build upon your momentum.
Don’t worry. Just because you may feel behind when it comes to AI adoption, you are not alone. As companies navigate the evolving AI landscape, you can learn from the mistakes. These simple steps can take you to the starting line, so when you are ready, you can adopt and integrate AI successfully into your organization.
Develop a clear strategy and review it early and often with stakeholders and employees.
Focus on getting your data clean, centralized and AI-ready.
Invest in talent to help bring internal expertise up to speed and upskill existing employees.
Build responsible, sustainable data practices to drive security and efficiency.
Train employees on AI best practices for development, deployment and usage of AI across the organization.
Start with 1-3 uses cases and share progress.
Looking ahead, Cisco will continue to power and secure AI so customers can simplify and streamline IT and security operations and reap the benefits of automation.
Infrastructure to power AI - Scale to meet the increasing demands of AI workloads.
Security for AI, AI for security - Secure the use of AI in your organization and across the AI stack.
Data to drive insights and context - Gain differentiated insights with visibility into data across the network, security, applications, and your data.
Software to unlock productivity - Experience a substantial change in productivity with AI-powered self-healing, automation, and guidance.
Services to accelerate the value - Realize the value of AI with faster deployment, implementation, and adoption.