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GlobalData evaluates AI platforms in light of new generative AI developments

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AI Platforms

Generative AI (GenAI) caused a momentous shift in the enterprise AI platform market in early 2023. During the spring of 2023, all major cloud-based enterprise AI platform providers scrambled to launch their own large language models and services and offer tools to support the deployment of GenAI on their platforms. Almost overnight, AI platform providers pivoted their priorities from offering tools that facilitate data management, query data across repositories, streamline collaboration and version control, and assist with model management and monitoring to supplying tools that help customers incorporate generative AI into their applications, says GlobalData, a leading data and analytics company.

Rena Bhattacharyya, Chief Analyst and Practice Lead, Enterprise Technology & Services at GlobalData, says: “Enterprises should plan for future use of GenAI while selecting an AI platform provider.  Buyers should consider an AI platform’s capacity to incorporate large language models and customize foundational models from multiple vendors since it is still early days, and it is yet to be seen whether some models will perform better for certain workloads than others.

GlobalData’s latest report, Cloud-based Enterprise AI Platforms: Competitive Landscape Assessment, points out that building, training, tuning, and managing an AI model is a complex undertaking and enterprises interested in expanding their use of AI can select from many potential partners. Nevertheless, despite the existence of numerous competitors offering AI platforms, the range of capabilities they offer varies significantly, and the true differentiating factor often lies in the additional services provided by each vendor.

Bhattacharyya observes: “Each organization will have its own unique requirements for deploying and scaling AI projects. Platform buying criteria include the availability of APIs, machine learning platform tools, generative AI capabilities, horizontal and industry-specific solutions, explainable and responsible AI considerations, and professional services for complex implementations.

According to the report, IBM emerges as a frontrunner in the AI platform industry, with MicrosoftAmazon and Google closely trailing behind. While Salesforce occupies a niche position, it specializes in providing a wide range of operationalized solutions aimed at assisting enterprises in extracting actionable insights from data to enhance customer experiences and streamline the sales process.

Bhattacharyya concludes: “Microsoft differentiated itself as a thought leader among the hyperscale cloud providers by being first to market with access to GenAI. However, IBM stands out as a leader in cloud-based enterprise AI platforms, offering a full suite of model development and management tools, access to internally developed and third-party large language models, industry-specific solutions, and strong professional services to help customers identify and implement use cases. Salesforce has been fast to market with CRM solutions that leverage generative AI, and as a result, has had to educate the enterprise community on best practices for Responsible AI.

Read Next: Microsoft and Salesforce propel innovation in low-code platforms through generative AI investments – GlobalData

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