Salesforce & IBM Partnership to Drive AI, Data Deployment

IBM is making significant strides in its strategy to bring generative artificial intelligence (AI) capabilities to enterprises through its watsonx platform. The tech giant recently announced an expanded partnership with Salesforce, further solidifying its position in the enterprise AI landscape.

The collaboration will integrate IBM's watsonx AI and Data Platform with Salesforce's Einstein 1 Platform, providing customers with greater choice and flexibility in AI and data deployment. This powerful combination aims to empower teams to make data-driven decisions and take actions directly within their workflow, streamlining processes and enhancing productivity.

The expanded relationship encompasses bidirectional data integration, flexibility in leveraging large language models (LLMs), pre-built actions and prompts for customer relationship management (CRM) solutions, and a shared commitment to responsible AI development. This holistic approach ensures that enterprises can harness the power of AI while adhering to ethical and governance standards.

Since the beginning of 2024, IBM has placed AI, governance, and trust at the core of its annual strategy roadmap, recognising the critical importance of these factors in the enterprise AI landscape. The watsonx platform is a cornerstone of this strategy, designed to address enterprise-specific generative AI use cases.

watsonx is IBM's generative AI platform that enables enterprises to design and tune LLMs tailored to their operational and business requirements. It offers tools for fine-tuning LLMs, a data store built on a lakehouse architecture, and an AI governance toolkit, providing a comprehensive solution for enterprises seeking to leverage the potential of AI while ensuring compliance and responsible deployment.

Partnerships 

To accelerate the adoption of generative AI in enterprises, IBM has been on a push to form strategic partnerships with companies and organisations across sectors.

 Alongside the Salesforce expansion, these include:

Tech Mahindra for adoption and governance

IBM and Tech Mahindra are collaborating to help businesses accelerate the adoption of generative AI. Through the collaboration, customers can combine the power of IBM watsonx with Tech Mahindra’s AI consulting and engineering skills to access new Gen AI services. 

This can enable businesses to access trusted data and automate processes. Likewise, customers can also build trustworthy AI models to help mitigate risk and bias.

Wipro to drive enterprise AI adoption

Wipro and IBM expanded their partnership to launch the Wipro Enterprise AI-Ready Platform, aiming to provide easy and secure AI adoption solutions for businesses. This new service will enable clients to fully create enterprise-level AI that can be integrated and customised to best suit their specific needs.

The Wipro Enterprise AI-Ready Platform will leverage IBM's watsonx generative AI capabilities, allowing organisations to build and deploy custom LLMs tailored to their business requirements. Key aspects of this collaboration include:

GSMA for accelerating AI adoption & training

IBM partnered with GSMA, the global organisation representing mobile operators, to launch an AI training initiative aimed at accelerating AI adoption and bridging the skills gap within the telecommunications industry. 

This initiative is part of GSMA's new Advance Series program to build skills, foster innovation, and champion workforce diversity. The AI training program seeks to prepare telecom leaders for the ever-evolving AI era by equipping them with the skills and knowledge to better leverage generative AI technologies. It will leverage IBM's watsonx platform, its AI and data platform, and AI assistants to provide hands-on training and upskilling opportunities.

IBM's watsonx platform, through its strategic partnerships and focus on responsible AI development, is positioning the company as a key player in the enterprise generative AI landscape, with offerings tailored to various industry use cases and governance requirements.

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