16/07/2024 | Press release | Distributed by Public on 16/07/2024 11:08
After decades of dealing with vendors who lock customers into their own proprietary or "closed" platforms, most technology leaders today favor open ecosystems, a new Salesforce survey found. Indeed, tech leaders are 3x more likely to believe an open ecosystem is critical to implementing new and business-critical innovation like artificial intelligence (AI) and more than half of those already deploying such technology believe open ecosystems will become standard within two years.
The survey highlights a pivotal AI debate - the choice between an open ecosystem, which supports integration with other systems, services, and platforms, or a closed ecosystem, which interacts only with a select few compatible or internal systems.
Why it matters:Ninety percent of IT teams say generative AI has forced them to re-evaluate their technology strategy, and a large part of that re-evaluation lies in the decision to adopt an open or closed AI ecosystem. The new research discovers that while tech leaders point to some open ecosystem challenges like security, interoperability, and lack of industry standards, they are bullish toward an open approach - citing increased innovation and faster adoption of AI.
The new research discovers that while tech leaders point to some open ecosystem challenges like security, interoperability, and lack of industry standards, they are bullish toward an open approach - citing increased innovation and faster adoption of AI.
More findings:
More information:
In partnership with YouGov, Salesforce conducted a double-blind survey of 502 tech decision makers. The data was fielded between June 5-12, 2024. Tech leaders were defined as those who have decision-making ability regarding the procurement of technology at their company. An Open Ecosystem was defined as 'an artificial intelligence (AI) ecosystem that freely supports and encourages integration with other systems, services and platforms.' A Closed Ecosystem was defined as 'an artificial intelligence (AI) ecosystem that only interacts with a limited number of systems, services or platforms that are inside or exclusively compatible with that platform.'