Businesses are accelerating their time-to-value with agentic AI by focusing on removing data silos and investing in data infrastructure and management. A recent survey of 1,050 CIOs found that 93% of IT leaders plan to implement AI agents in the next two years, with a focus on integrating data across the enterprise.
To achieve this, companies are allocating 20% of their budgets to data infrastructure and management, four times more than their spend on AI. This investment is crucial, as the average enterprise uses 897 apps, with only 29% of enterprise apps integrated and sharing information across the business.
Agentic AI platforms, such as Salesforce's Agentforce, are also being used to accelerate time-to-value. These platforms provide pre-integrated and pre-tuned models that require little to no setup time, enabling organizations to deliver autonomous AI agents an average of 16 times faster than other approaches.
By removing data silos and investing in data infrastructure and management, businesses can unlock the full potential of agentic AI and achieve faster time-to-value. This strategic approach enables organizations to integrate data across the enterprise, develop strong knowledge management practices, and leverage agentic AI platforms to accelerate AI adoption.
