AI Cloud: Driving productivity in IT, but hindered by data integration and overloaded teams.

A new study from Salesforce reveals that 85% of IT leaders expect AI to increase developer productivity in their organizations over the next three years. However, 62% state that their organizations are not yet equipped to harmonize data systems and fully leverage AI, hindering the transition and increasing strain on their teams.

Digital Transformation Challenges and Data Silos
MuleSoft’s annual Connectivity report surveyed 1,050 CIOs and IT decision-makers worldwide to understand these challenges. The study revealed that 98% of IT organizations face challenges in their digital transformation efforts, with 80% citing data silos as a major concern.

Successful AI Strategies and the Role of Data Integration
Successful AI strategies heavily depend on robust data integration to enhance operational efficiency, productivity, and employee and customer experiences. However, only 28% of applications are connected, and 95% of IT leaders report integration issues as a hindrance to AI adoption.

AI Security and Trust
64% of IT leaders are concerned about ethical use and adoption of AI. The study underscores that data integration and elimination of data silos can unlock the full potential of AI and provide a seamless user experience.

Pressure on IT Teams and Automation as a Solution
IT teams are under immense pressure, struggling to integrate efficiently, with 98% facing challenges in digital transformation. However, 85% expect AI to drive developer productivity. IT teams are increasingly turning to Robotic Process Automation (RPA) to manage high demands, with a significant increase from 13% in 2021 to 31% in 2023.

The Key Role of APIs for Growth
APIs are critical for data access and utilization, serving as a strategic lever for growth. In fact, 33% of all revenue comes from API-related offerings.

Salesforce Perspective
Param Kahlon, EVP and GM of Automation and Integration at Salesforce, comments: “AI is only as powerful as the data it can be connected to and the outcomes that can be derived from it. These are integration and automation challenges that organizations face. IT leaders are becoming increasingly aware that their ability to operationalize AI—and generate business and customer value—will depend on their ability to integrate it with their existing systems and create new growth opportunities.”

This study highlights the critical need to integrate and automate systems to maximize the impact of AI in the business world.

Reference: MuleSoft (2024 Connectivity Benchmark Report) and Salesforce.

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