IBM and Salesforce Expand Partnership to Advance Open, Trusted AI and Data Ecosystems
IBM and Salesforce have expanded their partnership to enhance AI and data ecosystems. This collaboration integrates IBM's watsonx AI and Data Platform with Salesforce's Einstein 1 Platform. Customers will benefit from IBM Granite models for generative AI, zero copy data integration, and pre-built actions and prompts in CRM solutions. This alliance aims to provide enterprise-grade AI that is secure, trustable, and cost-effective. IBM and Salesforce are also committed to responsible AI development, as Salesforce joins the AI Alliance. The integration is expected to offer significant improvements in data-driven decision-making for various industries.
- Expanded partnership between IBM and Salesforce enhances AI and data ecosystems.
- Integration of IBM Granite models with Salesforce Einstein 1 Platform.
- Zero copy data integration between IBM watsonx and Salesforce Data Cloud for secure and cost-effective data connection.
- IBM Granite models are highly performant and developer-friendly.
- Pre-configured prompt templates and copilot actions to accelerate ROI.
- Salesforce joins AI Alliance, reinforcing commitment to responsible AI.
- Industry-specific prompt templates and copilot actions for various sectors.
- Expected availability of IBM Granite in Salesforce by early next year.
- The announcement lacks detailed financial data and metrics.
- No immediate impact on revenue or earnings reported.
- Potentially high costs associated with implementing and maintaining AI models.
- Dependence on successful integration and collaboration between IBM and Salesforce.
- Possible security risks despite zero copy data integration.
The partnership between IBM and Salesforce is notable for a few reasons. IBM's watsonx platform and Granite series models offer highly specialized AI models tailored for enterprise use cases. The integration of these models with Salesforce's Einstein 1 Platform provides a powerful combination of AI and CRM capabilities. This partnership is particularly interesting because it enables organizations to utilize their own custom Large Language Models (LLMs) alongside IBM's robust models, allowing for greater flexibility and customization.
Moreover, the Zero Copy Partner Network integration is significant for data management. It allows companies to access IBM data directly within Salesforce without the need for complex data migrations. This can streamline workflows and reduce data silos, leading to more efficient data utilization and faster decision-making.
From a technological perspective, this collaboration can help businesses scale their AI initiatives more effectively while ensuring data security and compliance, which are important in today's regulatory environment. The promise of industry-specific prompt templates and actions also suggests a strong focus on practical, actionable AI that can deliver immediate value.
This expanded partnership between IBM and Salesforce could have significant financial implications. By enabling bidirectional data integration and leveraging specialized AI models, both companies can offer more comprehensive solutions to their customers, potentially increasing their value proposition and market share.
For Salesforce, integrating IBM's AI capabilities can enhance its CRM offerings, making them more appealing to large enterprises with complex data needs. This could drive higher adoption rates and customer retention, leading to increased revenue.
IBM, on the other hand, benefits from tapping into Salesforce's extensive customer base. This could lead to higher sales of their watsonx platform and Granite models. Furthermore, the emphasis on responsible AI aligns with broader industry trends and regulatory requirements, which could mitigate potential risks and build trust with stakeholders.
Overall, this partnership could drive significant growth for both companies, although the actual financial impact will depend on the successful implementation and adoption of these integrated solutions.
The collaboration between IBM and Salesforce reflects a broader trend in the market towards integrated and customized AI solutions. Businesses today are increasingly looking for platforms that can seamlessly integrate with their existing systems while offering robust AI capabilities. The ability to use customized LLMs alongside IBM's Granite models provides a unique selling point that can differentiate these platforms from competitors.
Furthermore, the Zero Copy Partner Network can address a common pain point for many organizations: data fragmentation. By allowing data to remain in its original location while still being accessible for analysis and action, this integration can simplify data management and enhance data-driven decision-making processes.
This move also positions both IBM and Salesforce as leaders in the AI and data ecosystem, showing their commitment to innovation and customer-centric solutions. For investors, this partnership signals potential for long-term growth as both companies continue to evolve their offerings to meet the changing needs of the market.
IBM watsonx platform and IBM Granite series models will bring even more large language models to power generative AI use cases, pre-built actions, and prompts across the Salesforce Einstein 1 Platform
IBM joins the Salesforce Zero Copy Partner Network to enable zero copy data integration between IBM watsonx and Salesforce Data Cloud, giving customers a secure and cost-effective way to connect all of their data and take action on it
Salesforce joins the AI Alliance, bolstering its commitment to responsible AI and continuing to provide customers with trusted and reliable AI tools
The expanded relationship spans bidirectional data integration, flexibility in large language models (LLMs), prebuilt actions and prompts for CRM solutions, and a further commitment to responsible AI development.
Large language model flexibility with IBM watsonx, Granite models, and Salesforce
Organizations deploying generative AI for CRM use cases need access to LLMs that are suited to their specific business needs. Salesforce, which lets customers choose the LLMs that best suit their needs through its Bring Your Own Large Language Model strategy, plans to allow customers to integrate their LLMs with the watsonx.ai platform and Salesforce Einstein 1 Studio, a collection of low-code AI builders. This will enable access to key IBM Granite series AI models and a customer's own LLMs built on watsonx.
IBM watsonx helps enterprises build, scale, and govern custom AI solutions with choice of AI models from different providers and the ability to tailor them with their own data. Granite is IBM's flagship model series trained on enterprise datasets that meet rigorous criteria for data governance, document quality, due diligence, and risk and compliance. IBM Granite models are highly performant and developer-friendly with intellectual property indemnification from IBM to its customers.
Integrating IBM Granite models with the Einstein 1 Platform will empower joint customers of IBM watsonx and Salesforce to utilize Granite models, whether hosted in the cloud or on premises, for diverse use cases including industry content generation, field summarization, and classification. These targeted models are transparent, optimized for trust and designed to scale across the enterprise. In order to help realize faster ROI of IBM Granite models for these use cases, pre-configured prompt templates and copilot actions powered by IBM data and services will be made available for Einstein 1 Studio and invocable in flow and apex.
The Einstein 1 Platform integrates CRM applications, data from any external system with Data Cloud and AI models using a common metadata framework to power the next generation of AI solutions, including Einstein Copilot.
"Clients need enterprise-grade foundation models that are trusted, performant, and cost-effective," said Ritika Gunnar, General Manager, Product Management, Data and AI, IBM. "Choosing the right foundation models is essential to every organization's AI strategy and a key determinant of how quickly projects move from pilot to production. IBM and Salesforce are working together to make it easier to navigate the complex generative AI landscape by helping clients select the right LLM for their business needs."
Industry-specific IBM prompts and actions for Einstein Copilot and Copilot Studio
Together with IBM Consulting and their strong industry expertise, IBM is creating powerful, industry-specific prompt templates and copilot actions which are expected to be made available in Einstein 1 Studio later this year. Using the AI builders in Einstein 1 Studio, Salesforce customers will be able to access these pre-built actions and prompts across Salesforce applications, including Einstein Copilot, Salesforce's conversational AI assistant for CRM.
Beginning with public sector use cases such as government contact centers, eligibility determination, and licensing and permitting, these pre-configured prompt templates are being designed to be optimized for both foundation and Granite models to help automotive, energy and utilities, financial services and public sector users connect with their constituents on a new level.
IBM Consulting is already helping joint customers establish sustainable, responsible AI frameworks to scale AI-driven Salesforce CRM initiatives across the enterprise, accelerating time to value while helping mitigate risk.
IBM and Salesforce to enable bidirectional data integration between IBM watsonx and Salesforce Data Cloud
IBM has joined the Salesforce Zero Copy Partner Network, a global ecosystem of technology and solution providers building secure, bidirectional zero copy integrations with Salesforce Data Cloud so data can be actioned across the Salesforce Einstein 1 Platform. Customers will be able to access their IBM data via watsonx.data from within Salesforce Data Cloud in a zero copy pattern, simplifying security management and minimizing security risks when exposing data to the business.
Zero copy enables businesses to keep their data in its original location while accessing external data from Salesforce Data Cloud to create a comprehensive view of the customer. This reduces the need for companies to rely on custom integrations and complex data pipelines to integrate and move data to Salesforce from external data warehouses and vice versa. This approach helps customers maximize their technology investments in IBM and access historical data, ensuring it remains integrated and accessible to power analytics and Generative AI. For example, a Data Cloud-triggered Flow updates an account manager in Slack when shipments are marked as delayed in an external lake, enabling them to immediately engage their client.
"Salesforce and IBM are well positioned to make it easier for customers to get the most value from their data — no matter where it resides — and establish a foundation for customer engagement and trusted AI," said Rahul Auradkar, EVP & GM, United Data Services & Einstein, Salesforce. "With the addition of bidirectional data integration, companies can harmonize all of their data faster, fueling actionable insights that empower teams to make data-driven decisions and deliver amazing integrated experiences across all touchpoints and channels for every customer interaction."
Salesforce joins the AI Alliance, bolsters commitment to open and trusted AI development
Salesforce has joined the AI Alliance and in doing so, will support its mission to create a world where AI is developed collaboratively and transparently, with a focus on safety, ethics, and the greater good. The AI Alliance is an international community of more than 100 leading organizations across industry, startup, academia, research, and government collaborating together to advance open, safe, and responsible AI. By advocating for open innovation with leaders across industry and government, the AI Alliance seeks to foster an environment where AI can thrive and benefit people and society everywhere.
IBM Granite is expected to be available in Salesforce early next year. For more information on IBM Granite, please visit this page.
About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.
Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only.
About Salesforce
Salesforce is the #1 AI CRM, empowering companies to connect with their customers in a whole new way through the power of CRM + AI + Data + Trust on one unified platform: Einstein 1. For more information visit: www.salesforce.com.
Any unreleased services or features referenced in this or other press releases or public statements are not currently available and may not be delivered on time or at all. Customers who purchase Salesforce applications should make their purchase decisions based upon features that are currently available. Salesforce has headquarters in
Media Contact:
Paul DiPerna
Paul.DiPerna@ibm.com
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