Cloud database platform company Couchbase Inc. recently unveiled its AI Accelerate Partner Program designed to make it easier for customers to build AI-powered applications with Couchbase Capella databases-as-aservice and support integrations with the broader AI and data ecosystem. According to the company, the program provides organizations with resources to integrate their platforms and tools with the Capella, reducing friction for customers that build and deploy models for AI-driven applications. The AI Accelerate Program is part of Couchbase PartnerEngage, with benefits that span go-to-market, technical and enablement categories, including eligibility for early access to beta programs and to the Couchbase AI roadmap; customized, hands-on AI-focused workshops; accelerated path to integration with Couchbase Capella, including eligibility for extended Capella trials; access to the Couchbase PartnerEngage portal; and marketing co-investments. “In order to make it easier for customers to build applications that are powered by AI on Capella, we are partnering, building integrations and aligning with others in the ecosystem,” said Matt McDonough, senior vice president of business development and strategy at Couchbase. “The new Accelerate AI Partner Program will ensure that our cloud database platform is well positioned to be a key part of the rapidly emerging AI landscape.” Couchbase announced that MindsDB and Dataworkz are the first companies to join the program. Unlike the businessto-consumer (B2C) space, enterprise deployment of AI brings significant risks that need to be weighed against potential rewards prior to investment, warn analysts at ABI Research. The risks have led to bans in some cases on third-party, “black box” generative AI services such as ChatGPT. “While generative AI enterprise use cases continue to emerge, delivering business value cannot rely on large, generalized models as they are slow, insecure, expensive, not adapted for the tasks they service, and subject to dangerous hallucinations,” said the research firm. Rather, smaller, contextualized models fine-tuned on specific datasets will offer a much greater ROI, ABI researchers continued. As examples, they point to an investment firm on Wall Street looking to develop an AI-based tool to analyze the stock market and inform users of key trends or a utility provider wanting a generative AI model that can predict future energy demands. Of course, a lack of smaller, contextualized models is not the only challenge for enterprise generative AI adoption. ABI pointed to other significant barriers that exist, including but not limited to a skills gap, data privacy, intellectual property protection, fear of vendor lock-in, trustworthiness and operational change. Couchbase Launches AI Accelerate Partner Program Holding Back Generative AI in the Enterprise EMERGENT Source: 451 Alliance: S&P Global Market Intelligence Generative AI Vertical Creation World Markets: 2023 to 2030 Source: ABI Research Which of the following IT processes at your organization would benefit the most from automation technology? Increased productivity Increased efficiency Faster response times Better servicing of IT customers Increased scalability Increased agiliy and responsisveness Improved compliance and governance Reduced manual effor and human error Consistency/standardized process 40% 39% 34% 31% 29% 27% 24% 23% 21% 160 140 120 100 80 60 2023 2030 40 20 0 Financial Services Law Manufacturing Automotive Education US$ Billions Marketing Advertising & Creative Entertainment & Multi-media Healthcare Energy, Utilities, and Mining Retail & E-commerce Telecoms Pharmaceuticals 10 CHANNELVISION | SEPTEMBER - OCTOBER 2023
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