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Cutting-edge AI-powered features within the SAP Build platform, a growing data network, and advanced Joule Agents enable developers to transition from concept to tangible results at an unmatched pace and assurance.

With AI reshaping the landscape of professional roles, SAP has committed to providing 12 million individuals across the globe with skills suitable for an AI-driven future by 2030.

SAP’s announcements today provide developers with the necessary tools to keep up with the pace of AI,” said Muhammad Alam, a member of the Executive Board at SAP SE. “Advancements across SAP’s distinct cycle of applications, data, and AI place developers in control — where they should be.

SAP Build, the company’s leading platform for enterprise application development and automation, now offers developers greater flexibility to create, enhance, and automate processes with their preferred tools.

For example, developers who favor agentic development tools such as Cursor, Claude Code, Cline, and Windsurf can now leverage SAP development frameworks through newly introduced SAP Build local Model Context Protocol Servers.

Developers using Visual Studio Code can now utilize SAP Build features within their coding environment through a newly released SAP Build extension.

This add-on will also be available in the future on the Open VSX Registry for other development platforms.

SAP and n8n also revealed intentions to integrate, enabling Joule Studio agents and n8n agents to collaborate.

With the enhanced agent creation features in Joule Studio, developers possess the necessary tools to expand SAP’s pre-built agents and develop new ones that are based on SAP business data and context. These agents can operate independently in response to evolving business situations.

Every smart system is built upon reliable information.

SAP is offering developers additional methods to utilize that data via SAP Business Data Cloud.

The solution now integrates with more of the data and AI platforms that developers use daily. A new SAP Snowflake solution extension for SAP Business Data Cloud delivers Snowflake’s fully managed data and AI capabilities directly to SAP customers, allowing them the flexibility to select the appropriate compute and storage for each data and AI task, while ensuring governance, compatibility, and business context.

SAP also revealed a new SAP Business Data Cloud Connect collaboration with Snowflake. This enhances current integrations with Databricks and Google Cloud, offering developers greater flexibility in how they handle SAP data.

Thanks to a new data product studio feature in SAP Business Data Cloud, programmers can transform unprocessed data into usable resources called data products, which facilitate analytics, AI, and software development.

An enhanced feature in the SAP HANA Cloud knowledge graph engine can automatically create knowledge graphs. This feature identifies connections between SAP database tables, columns, and data structures, demonstrating how data interrelates and why it is significant. Developers will be able to observe how their data links across different systems and discover hidden business insights.

SAP is enhancing its artificial intelligence offerings to provide developers with the necessary intelligence and coordination capabilities to move AI from understanding to implementation.

SAP launched its initial enterprise relational foundation model, a novel type of AI designed to forecast business results instead of focusing on the next word in a sentence. SAP-RPT-1, known as the first-generation Relational Pre-trained Transformer, delivers swift and precise predictions for typical business situations such as shipment delays, payment threats, or sales order fulfillment.

SAP introduced a complimentary testing space for developers today.

Next-generation AI assistants in Joule manage various agents throughout workflows, departments, and applications, implementing automation and self-sufficiency. These assistants handle intricate tasks that cover finance, supply chain, HR, and more. Currently, SAP unveils new agents tailored for technical users. For instance, an agent designed for business process analysis will assist teams in comprehending how processes operate, detecting inefficiencies, and discovering chances to enhance workflows and achieve tangible improvements.

Finally, as AI transforms the way people work, SAP is committed to providing 12 million individuals across the globe with skills suitable for an AI-driven future by 2030.

SAP plans to enhance its practical training and certification initiatives by incorporating real-world AI-ready tools, leveraging its collaboration with the online education platform Coursera.

Provided by SyndiGate Media Inc.Syndigate.info).