AI in Action: March 4, 2024
This Week's Focus: AI in Software
In today’s edition:
SAP’s Strategic Implementation of AI Across Its Suite
Salesforce Revolutionizes CRM with AI
Oracle’s Strategic Advancement in Generative AI
Google’s Launch of Gemma and the Drive for Responsible Development
Microsoft’s Strategic Implementation of AI through Collaboration and Innovation
SAP’s Strategic Implementation of AI Across Its Suite
SAP SE is at the forefront of incorporating artificial intelligence (AI) across its suite of solutions, aiming to revolutionize user experiences, decision-making, and operational efficiency. Through strategic partnerships with IBM Watson and Microsoft, alongside significant investments in AI capabilities within its own solutions such as SAP SuccessFactors and SAP S/4HANA, SAP is embedding AI to offer predictive insights, automation, and enhanced customer interactions. This initiative spans various aspects of business operations, from HR and talent management to procurement, supply chain management, and customer experience, leveraging AI to unlock productivity, foster innovation, and drive growth. SAP’s approach underlines a commitment to ethical AI use, focusing on trust, transparency, and data privacy.
Salesforce Revolutionizes CRM with AI
Salesforce has introduced Einstein Copilot, an advanced AI tool designed to revolutionize how companies interact with their CRM systems. Positioned as the only copilot capable of genuinely understanding customer relationships, it integrates deeply with company data and Salesforce’s Data Cloud to offer personalized and informed responses. With its ability to automate tasks, generate material, and understand complex discussions, Einstein Copilot aims to enhance productivity and customer experience while adhering to stringent data governance protocols.
Oracle’s Strategic Advancement in Generative AI
Oracle has been recognized for its strategic approach to generative AI, particularly for its effective method of reducing costs and complexities associated with training large language models (LLMs) for enterprises. Despite facing stiff competition from industry giants such as AWS, Microsoft, and Google, Oracle has carved a niche by offering a streamlined process for pre-training, fine-tuning, and continuously training LLMs, leveraging its extensive portfolio of applications, AI services, and infrastructure. This approach not only lowers the barriers to AI adoption but also positions Oracle as a leader in integrating generative AI across enterprise applications, albeit with room to grow in terms of model variety and service offerings.
Google’s Launch of Gemma and the Drive for Responsible Development
Google’s recent unveiling of Gemma, an open-source AI model, alongside the Responsible Generative AI Toolkit, signifies a substantial leap in making advanced AI technologies widely accessible to developers. Developed on the foundation of Google’s Gemini AI models, Gemma is available in two configurations—Gemma 2B and Gemma 7B—designed for optimal functionality on conventional computing devices. This initiative reflects Google’s commitment to fostering responsible AI development, further augmented by partnerships for enhanced performance and broad accessibility, including a notable collaboration with NVIDIA. Together, these efforts establish new performance benchmarks and emphasize ethical development in the AI domain.
Microsoft’s Strategic Implementation of AI through Collaboration and Innovation
Microsoft’s strategic partnership with Mistral AI marks a significant milestone in leveraging artificial intelligence to enhance technology development across Europe. This collaboration enables accelerated development and deployment of Large Language Models (LLMs) through Azure’s advanced AI infrastructure. By offering a Models-as-a-Service (MaaS) platform, Microsoft democratizes AI model development, supporting both open source and proprietary models. This initiative is part of a broader effort by Microsoft to empower developers worldwide, ensuring the creation of a global AI economy grounded in responsible AI principles.