In an AI era, forge a path to enduring business innovation with Google Cloud and SAP

Google Cloud and SAP believe the cloud should offer more than highly secure, high-performing, and reliable infrastructure. It should also provide a comprehensive, open, and multi-cloud platform that enables your business to get the most out of its data with analytics and generative AI. This is especially applicable for critical data stored on SAP systems, which span supply chains, finance, HR, and more. 

By integrating Google Cloud’s generative AI and analytics solutions with SAP data, our partnership helps your organization unlock the full potential of its information to drive continuous innovation, tackle your toughest business challenges, and make smarter decisions.

At today’s SAP Sapphire conference, Google are excited to announce new advancements across AI and infrastructure to help SAP customers innovate and more effectively manage data, including:

Accelerating AI-powered resilient supply chains

As Google continue to co-innovate with SAP, we are diving deeper into business-critical use cases that will help customers gain a competitive edge. Using our combined data and AI solutions to strengthen supply chain management and mitigate supply chain risks is a natural fit. 

By integrating Cortex Framework and Gemini models with SAP’s generative AI assistant Joule and Integrated Business Planning (IBP) for Supply Planning, businesses can accelerate insights from sensed events, risks, and identify opportunities to enable faster, more intelligent supply chain responses.

With an AI-powered resilient supply chain, you can also help better predict demand and mitigate supply chain risk, with use cases that include: 

SAP Datasphere now available on Google Cloud Marketplace

The SAP Datasphere integration with BigQuery continues to deliver real-time access to your SAP and non-SAP data, including publicly available datasets within BigQuery and other integrated data like Google Ads, accelerated via Cortex Framework. SAP Datasphere’s Replication Flow now offers bidirectional replication and federation with BigQuery, enabling a petabyte-scale platform for analytics and data science, as well as a foundation for machine learning and gen AI using Vertex AI with Gemini. All of this is available “out of the box” with SAP Datasphere for Google Cloud, which is available on Google Cloud Marketplace.

Customers have already generated great results through Datasphere for Google Cloud, such as a major consumer electronics company that modernized its sales reporting process. Using Datasphere, BigQuery, and Google Dataform for sales pipeline automation, they built a real-time sales reporting dashboard to replace their existing PDF reports and modernize their entire reporting process. As a result, they have saved significant resources, increased operational speed, and created deeper business insights about business sales. 

Introducing X4: Largest cloud instances with unparalleled performance, reliability, and security 

As more global enterprises migrate to SAP S/4HANA on the cloud, the demand for more memory- and compute-intensive machines to handle giant workloads keeps growing. We are thrilled to introduce the X4 machine family, featuring 16TB, 24TB, and 32TB instances designed specifically for SAP HANA OLTP and OLAP workloads to operate with highest performance and reliability, X4 family leads the industry in multiple dimensions including: 

These systems further benefit from Google Cloud’s infrastructure differentiators, including the largest network footprint delivering low-latency for SAP workloads and robust security measures such as built-in encryption and proactive threat detection.

“In the past few years, our SAP HANA systems have seen significant data growth with an increasing need for higher performance,” says Shawn Lund, US Chief Technology Officer, Deloitte. “With the 24TB X4 machines and Hyperdisk storage, we have been able to raise the ceiling for our future data growth and are also looking to see improvements in our performance. Added to this, Google’s X4 machines are cloud native, giving us opportunities to automate system management and operations.”

Innovating for RISE with SAP customers

The new high-performance X4 Instance family is one example of how Google Cloud continues to invest in being the most reliable and scalable cloud provider for RISE with SAP workloads. 

Lalit Patil, CTO of RISE with SAP, says, “SAP and Google Cloud have a deep co-innovation partnership, and we’re continuously launching new, differentiated solutions to benefit RISE with SAP customers. 

At SAP Sapphire, we’re excited to announce two new offerings:

A recent RISE with SAP customer on Google Cloud is Asian Paints. “We selected Google Cloud for RISE with SAP given their strong partnerships with SAP and their ability to manage large installations in the region,” says Aashish Kshetry, CIO, Asian Paints. “We look forward to deploying SAP S/4HANA on their latest infrastructure and platforms on Google Cloud to support our business innovations and sustained growth.”

Other recent updates that solidify Google Cloud’s position as the ideal cloud partner for RISE with SAP customers include:

Enabling customer success with large workload 

Cintas, a facilities services and supplier company that serves more than one million businesses worldwide, transformed its on-premises SAP estate with more than 200 servers and large uncompressed 130TB+ database with Google Cloud. After a lift-and-shift migration, including a RISE with SAP use case for one business unit, Cintas was able to reduce its uncompressed database to just 41TB, a 68% decrease in overhead. With a stable, fast cloud-native data management platform, the company is set to accelerate its AI and analytics journey with Google Cloud technologies like Google Cloud Cortex Framework.

Mumbai-based Mahindra & Mahindra Ltd. brought its multinational federation of 80 businesses together with one instance of the private edition of SAP S/4HANA Cloud with the first-ever RISE scale-out architecture. The company worked closely with Google Cloud and SAP experts to create the flexible distributed HANA database it needed for peak workload and realized 12% faster response times. Mahindra & Mahindra has also increased developer productivity by 35% and improved high-compute transactions by 15%. In one example, its new systems withstood the demand of selling more than 100,000 cars in just 30 minutes. 

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