New Salesforce research shows 85% of IT leaders expect AI to increase developer productivity at their organisations over the next three years — a welcome relief as they simultaneously report a 39% increase in IT requests in the last year alone. However, 62% also say their organisation isn’t yet equipped to harmonise data systems to fully leverage AI, which is impeding the transition and further heightening the strain on their teams.
Adding to these concerns, 98% of IT organisations today report experiencing at least some degree of challenge with their digital transformation efforts, with 80% citing data silos as a concern and 72% grappling with systems that are overly dependent on one another.
MuleSoft’s annual Connectivity Benchmark Report surveyed 1,050 CIOs and IT decision makers around the world to understand these challenges and how organisations can use integration, automation, and APIs to build successful AI strategies.
Successful AI strategies rely heavily on strong data integration strategies in order to reap the benefits of improving operational efficiency, productivity, and employee and customer experiences.
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AI is the bellwether: IT leaders expect a 69% increase in the average number of Large Language Models (LLMs) they’ll use over the next three years, with 80% of organizations reporting they already use multiple predictive and generative AI models today.
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Integration is a primary hurdle to AI innovation: While AI drives efficiency and productivity, it is dependent on integrated data. However, only an estimated average of 28% of apps are connected and 95% of IT leaders report integration issues are impeding AI adoption.
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Security, trust remain as barriers to adoption: 64% of IT leaders are concerned with ethical AI usage and adoption.
Breaking down data silos can unlock AI’s full potential and provide a seamless user experience
Data silos are significant barriers to progress and business value, with 81% of respondents reporting that silos are hindering digital transformation efforts. As a result, there’s a greater need for better integration to unify all structured and unstructured business data to power and deploy trusted, relevant AI across all business functions.
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Organisations are challenged to connect data with AI applications: 72% of IT leaders find their current infrastructure overly interdependent, with 62% reporting their organisation is not equipped to harmonise their data systems to leverage AI technologies.
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Data insights go untapped: 75% of organisations say they’re struggling with integrating data insights into user experiences.
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Digital customer experiences aren’t fully baked: Only 26% of organisations believe they provide a completely connected user experience across all channels.
Automation is essential as business users seek self-sufficiency, yet overburdened IT teams largely hold the keys.
IT teams are often responsible for automation adoption, but remain cautious to allow business stakeholders to self-serve — only 22% of IT leaders report that their strategy to help non-technical business users integrate apps and data sources via APIs is up to date. Simultaneously, a skills gap within IT teams poses a hurdle. Closing this gap through strategic collaboration and upskilling is essential for organisations to best use automation for both innovation and efficiency.
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IT teams are under immense pressure: IT teams are struggling to integrate efficiently, as 98% report facing challenges regarding digital transformation. Skills gaps and compliance concerns top the list of IT challenges.
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AI can help IT teams’ performance: 85% of IT leaders expect AI to boost developer productivity.
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IT teams use Robotic Process Automation (RPA) to ease the burden: IT teams are increasingly adopting automation to manage high demands, with one in three teams now preferring RPA, a notable rise from 13% in 2021 to 31% in 2023.
