SAP x Databricks: The Future of Data & AI Starts Now

SAP x Databricks: The Future of Data & AI Starts Now

SAP just launched SAP Business Data Cloud, a fully managed SaaS solution that unifies SAP data and connects it with third-party data. This next-gen platform combines SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse, offering seamless insights across business operations.

A major highlight? A new partnership with Databricks. This brings Databricks' power into SAP Business Data Cloud, redefining enterprise data management and integration.

Unlocking Insights

Many businesses struggle with unreliable data, blocking AI-driven innovation. A survey of 1,200 leaders found 55% cite poor data quality as their top challenge. Nearly half say harmonizing data is a major roadblock.

SAP Business Data Cloud fixes this by creating a trusted, unified data foundation. Businesses gain full context, making smarter, faster decisions.

Key Features:

• Fully managed SAP data products across business processes

• Maintains business context and semantics for instant access

• Eliminates costly data extracts and ensures consistency

• Enables zero-copy data sharing and smooth integration

It also delivers pre-built analytical apps, packed with AI models and metrics, for faster decision-making. These apps cover key business areas like ERP, finance, HR, and supply chain.

Want real-time financial insights? Pre-configured apps let you track cash flow and profitability in seconds.

Connect Everything

SAP Business Data Cloud integrates all your data using business data fabric principles. Key capabilities include:

• Business Semantics: Use SAP Datasphere to share and model data without extractions. Build a knowledge graph for easy search and action.

• AI and Machine Learning: SAP Databricks accelerates AI apps. Delta Sharing syncs SAP data with lakehouses in real time.

• SAP BW Modernization: Migrate on-prem SAP Business Warehouse to the cloud, seamlessly accessing data products.

• Analytics and Planning: Automate reporting, simulate outcomes, and unify planning for a connected view.

Reliable AI with Business Context

SAP Business Data Cloud ensures AI applications work with accurate, contextual data. Joule, SAP’s AI copilot, integrates deeply, mapping data relationships and boosting AI-driven automation.

Users can rely on AI for cross-functional tasks like forecasting and risk assessment—without heavy IT involvement.

Expanding the Ecosystem

SAP Business Data Cloud prioritizes openness. It integrates with top data and AI partners like Collibra, Confluent, and DataRobot. More partnerships are on the way.

Big names like Accenture, McKinsey’s Spendscape, PwC, EY, Deloitte, and Capgemini are building insight apps on the platform.

With SAP Business Data Cloud, companies can break data silos, unlock AI-driven insights, and build a smarter, more connected business.

Fujitsu Expands AI Cloud Services for Secure Enterprise Data Control

Fujitsu just announced the Fujitsu Cloud Service Generative AI Platform. This new cloud-based service blends data security with convenience. It will roll out in Japan in 2025, with global expansion planned. Applications for a trial in Japan start February 13, 2025.

Generative AI boosts productivity in brainstorming, note-taking, and even coding. However industries handling sensitive data worry about leaks, compliance, and AI mislearning. Fujitsu’s platform tackles these concerns head-on.

How It Works

The service integrates Fsas Technologies Inc.'s Private AI Platform on PRIMERGY, Supermicro’s GPU servers, and Fujitsu’s Takane LLM. Takane, part of the Fujitsu Kozuchi AI service, is a top-tier Japanese-language AI model. The platform ensures security by processing client data in a private cloud area within Fujitsu’s data centers. Over time, more LLMs will be added to meet customer needs.

This service joins the Fujitsu Computing as a Service portfolio. Fujitsu offers full support from setup to optimization, helping businesses get the most out of generative AI.

Key Features

1. Private Data Management

   • Fine-tuned LLMs and RAG (Retrieval Augmented Generation) data are stored in private cloud areas for each client.

   • This setup keeps sensitive information secure, prevents misuse, and ensures regulatory compliance.

2. Affordable GPU Resources

   • The platform shares GPU servers for AI training and inference, reducing hourly costs.

   • A shared infrastructure slashes setup costs compared to custom AI environments.

   • On-premise options include Fsas Technologies’ AI Platform on PRIMERGY and Supermicro GPU servers, with full integration support.

3. Secure AI Access

   • Fujitsu’s security tech prevents unauthorized access within LLMs.

   • The platform undergoes vulnerability checks and third-party audits.

   • Hosted in JDCC Tier 4 equivalent data centers, ensuring high security and availability.

Why It Matters

Fujitsu’s Generative AI platform makes AI safer and more cost-effective for businesses handling sensitive data. With robust security, private cloud storage, and a shared infrastructure model, it’s designed for efficiency and peace of mind. More LLMs and upgrades are coming, ensuring flexibility for evolving AI needs.

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