Stefan Hoechbauer

As I shared at AWS Partner Summit and AWS Summit in Zurich, Switzerland's AI landscape is transforming at an extraordinary pace, reinforcing our position as a global innovation leader.   The acceleration is remarkable: 46% of Swiss businesses now use AI, growing 48% year-on-year and surpassing the European average. This translates to over 280,000 businesses embracing AI, with impressive outcomes:   • 93% seeing significant revenue growth  • 82% reporting transformative productivity gains • Swiss startups pioneering innovation, with 65% launching AI-driven products   Our new report "Unlocking Switzerland's AI Potential 2025" examines how we can build on this momentum to strengthen Switzerland's position as a global AI leader.   Read the full report: https://lnkd.in/eMxYBvxn Christian Keller Jan Widmer Stefano Mallè Maria Teresa Mancuso Peter Ronchetti Neil Brownlie Richard Sappe Giuliano Serventi  

113

A few thoughts on IBM after spending the past few days at #IBMThink: 1/ This is a new IBM — more open, more partner-first, and focused on real outcomes. A far cry from the more insular IBM of the past. #IBMThink 2/ AI and hybrid cloud aren’t solo acts. IBM is partnering with Dell, Oracle, NVIDIA, Palo Alto Networks, SAP, AWS, Salesforce, and others — not to own the stack, but to make it work together. 3/ Red Hat is the glue. IBM’s strategy is orchestration — bringing best-of-breed technologies into a unified, flexible architecture that meets clients where they are. 4/ The shift is clear: IBM isn’t trying to be the only answer. It’s aiming to be the best collaborator in the AI economy. #AI #HybridCloud #IBM #Partnerships #Ecosystem #RedHat #IBMThink

383

7 Kommentare

IBM unveiled #LinuxONE 5 at IBM #Think, harnessing the IBM Telum™ II processor with #AI acceleration. 💡 As Tina Tarquinio and Marcel Mitran explain, this addresses three key priorities for technology leaders: advanced #security, improving #costefficiency, and integrating AI into enterprise systems. Check out their blog: https://lnkd.in/ePdMuxVR IBM Technology Lifecycle Services provides comprehensive support for IBM infrastructure, now including LinuxONE 5. Our services go beyond standard repairs, ensuring operational resilience and peak performance. With AI-powered problem resolution and options to extend support coverage, our clients benefit from predictive and proactive services designed to prioritize mission-critical needs. This strategic approach helps LinuxONE systems remain robust, secure, and ready to meet evolving business demands. 🚀 Experience the future of enterprise systems with LinuxONE 5 and Technology Lifecycle Services. #IBM #LinuxONE #AI #Security #Innovation #CustomerSupport #CX #Infrastructure Dylan Boday Atul Dhall Jessica Murillo Shani Sandy Bala Rajaraman Calline Sanchez Bina Hallman Kelly Ryan Andrew Stubbs Kelvin Hawkins Greg Close Yasser Eissa Carlos Belak Alex Gogh Hillery Hunter

199

8 Kommentare

Our commitment at Google Cloud is to bring our leading AI capabilities to customers where they are. I'm thrilled to announce our expanded partnership with Oracle, which will make our #Gemini models available to customers via #VertexAI and the Oracle Cloud Infrastructure Generative AI service. Oracle is also collaborating with Google Cloud to make Gemini models available within Oracle Fusion Cloud Applications. This collaboration is a significant win for enterprises, enabling them to bring Google Cloud's powerful AI directly into their core data platforms and business workflows. https://lnkd.in/gPdtPXCH

83

Great to see this review by Steven Dickens of our Kyndryl announcement with Google Cloud to speed #MainframeModernization efforts by leveraging Google Cloud’s AI and Gemini models. By combining our mainframe skills and expertise and Google Cloud’s generative AI capabilities, we can help customers transform their applications and unlock the full potential of their mainframe data. As Steven describes in his article, we meet customers where they want to be meet leveraging a Right Workload in the Right Platform approach helping customers move off, integrate with and/or modernize on the mainframe. Very proud of this next step and expanded partnership between Kyndryl and Google Cloud that will help our customers accelerate their modernization further and still keep a close eye to manage risk! https://lnkd.in/dPVFUAh8  #TheHeartOfProgress #DigitalTransformation #HybridITModernization

86

3 Kommentare

AWS announces €7.8B investment in European Sovereign #Cloud, launching first region in Brandenburg, #Germany by 2025: https://lnkd.in/eniXuc8J Full EU data residency, independent operations, and local control to meet European privacy requirements for our customers in highly regulated industries. #AWS #Europe #DigitalSovereignty

64

2 Kommentare

Thrilled to share that SAP and Amazon Web Services (AWS) are making SAP Sovereign Cloud capabilities available on the AWS European Sovereign Cloud, a new, independent cloud for Europe backed by a planned €7.8 billion investment from Amazon.👏 This collaboration combines SAP’s enterprise application expertise with AWS’s cloud infrastructure and operational strength, enabling customers in highly regulated industries to pursue AI innovation while addressing unique sovereignty needs like data residency, operational autonomy, and resiliency. key Highlights: 🔹The first AWS European Sovereign Cloud Region is set to launch in Brandenburg, Germany by the end of 2025. 🔹SAP Sovereign Cloud is already live on AWS in Australia & New Zealand, the UK, Canada, and India. 🔹The initial SAP offerings on AWS European Sovereign Cloud will include SAP Business Technology Platform and SAP Cloud ERP, providing customers with a secure foundation for managing critical processes and sensitive data. This milestone represents the next chapter in the long-standing AWS and SAP partnership, empowering organizations across Europe to innovate securely, comply locally, and scale globally. 👉 Learn more about today’s announcement: https://lnkd.in/eSCsRfBk #SAP #AWS #Cloud #SovereignCloud #DigitalSovereignty #Innovation #AI

419

☁️ 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧: 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐚𝐧𝐝 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐢𝐧 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 ☁️🚀   In today's digital landscape, cloud migration is essential for modernizing IT infrastructure and maintaining a competitive edge. As part of my role as sponsor for our #cloudstrategy, I am happy to share some thoughts of our team on this exiting topic. Siemens will encounter both significant benefits and challenges during this journey. Cloud migration offers cost efficiency by reducing capital expenditure on hardware through a pay-as-you-go model. It supports business growth and geographic expansion, ensuring high availability, redundancy, and disaster recovery. Additionally, it facilitates quick deployment of new services and supports AI advancements, while cloud providers offer robust security measures.   However, the journey involves technical complexity, including issues with legacy system compatibility, application dependencies, and data migration. Compliance concerns must be addressed, adhering to data privacy regulations and industry-specific requirements. Organizational resistance requires cultural adaptation, training, and process restructuring. Managing hidden migration costs and predicting final expenses can be challenging, as can ensuring smooth change management and resource allocation.   𝐊𝐞𝐲 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 🌟 👉 Cost Efficiency: Pay-as-you-go model reduces capital expenditure. 👉 Scalability and Flexibility: Supports business growth and geographic expansion. 👉 Performance and Reliability: Ensures high availability and disaster recovery. 👉 Access to Advanced Technologies: Quick deployment of new services and AI support. 👉 Enhanced Security: Robust security measures from cloud providers.   𝐌𝐚𝐣𝐨𝐫 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 ⚠️ 👉 Technical Complexity: Legacy system compatibility and data migration issues. 👉 Compliance Concerns: Adhering to data privacy regulations. 👉 Organizational Resistance: Requires cultural adaptation and training. 👉 Cost Management: Managing hidden costs and predicting expenses. 👉 Service Disruption Risks: Ensuring smooth change management.   🧭 To navigate these challenges, strategic planning is crucial. This includes assessing current infrastructure, setting clear objectives, and planning resources. A phased approach, starting with pilot testing non-critical applications and gradually migrating systems, is essential. 💡 Skills development through staff training and partnerships with experienced providers, along with continuous learning, is vital. Regular security assessments and maintaining compliance documentation are necessary, as is establishing performance metrics, testing performance, and optimizing user experience. 🤔 As we are in this journey for the long run, I am curious to hear your ideas and feedback on the cloud journey. Let me know in the comments.👇 #cloudmigration #cloudification #cloudskills #skilldevelopment #cloudstrategy

44

7 Kommentare

We’re watching the rapid transformation - and possible end - of SaaS as we know it. Microsoft CEO Satya Nadella recently pointed out that traditional SaaS is disappearing, and I strongly agree. But I see the timeline accelerating even faster: Phase 1 (Right now): AI as Support AI enhancements like Copilot, Gamma, and Harvey are currently complementing existing SaaS platforms, making them seem more efficient and attractive. Providers feel secure, viewing AI as a feature rather than a threat. Phase 2 (Within 6-12 months): AI Takes Over Operations AI agents will quickly transition from assistants to autonomous operators. Instead of manually using tools like Tableau or Meta’s ad platform, we’ll simply instruct agents to perform analyses or optimize ads directly. The expertise traditionally embedded in SaaS interfaces becomes easily accessible through agents. Phase 3 (Within 1-2 years): Software Becomes Invisible AI agents begin interacting directly via APIs, eliminating the need for human-oriented interfaces like dashboards and menus entirely. This strips away the core value SaaS once provided—human usability. This isn’t standard disruption; it’s a fundamental shift away from human-operated software to agent-operated software. At the same time, the rise of AI-driven coding tools makes custom internal software development dramatically easier and cheaper. Companies no longer need to rely on costly SaaS subscriptions—they can quickly create tailored internal applications that perfectly fit their needs. The winners in this new era won’t simply be those who integrate AI the quickest. Instead, they’ll be companies providing open, agent-friendly APIs, becoming the trusted providers of actionable data and execution within their fields. The real question is whether giants of all industries will swiftly adapt or risk becoming obsolete, much like tech giants of the past. We’re entering an extraordinary period of opportunity for agile startups ready to embrace this change.

1.002

88 Kommentare

Today, we announced a major step forward in the Google Cloud-Oracle partnership: All Oracle customers can now begin building with Google’s leading Gemini models within their Oracle applications and the OCI Generative AI Service through new integrations with Vertex AI. Customers can build new AI agents, explore their Oracle data with AI, or develop new applications using our advanced models. This is applicable across widely-adopted Oracle SaaS applications such as the Oracle Fusion Cloud Applications Suite. They will benefit from Gemini's expansive context windows, the ability to ground results in current Google Search data, robust encryption and data privacy policies, and superior reasoning capabilities. Our partnership will help bring Google Cloud AI to the hundreds of thousands of businesses who use Oracle applications today. We're excited to see the new solutions created with this powerful combination. https://lnkd.in/gYS-YDpw Vipul Aggarwal Steve Kohn Andi Gutmans Saurabh Tiwary Shivakumar Venkataraman

191

19 Kommentare

Transformation doesn’t happen by chance. It takes a framework to help guide it. This inside look at Microsoft Digital — our internal IT organization — shows how we’re reshaping operations and boosting productivity by pairing AI with continuous improvement. The impact comes not from technology alone, but from the foundation built around it: ▪️ Continuous improvement provides the structure for change. ▪️ Leaders set direction and sponsorship. ▪️ Employees are engaged in redesigning their work. ▪️ Processes are improved before technology is applied. What strikes me is how essential that framework is. Without it, AI risks becoming another tool in search of a problem. With it, AI becomes an accelerator — turning innovation into lasting transformation. It’s a playbook any organization can adapt. Read the full story here: https://lnkd.in/eXExc6Kd   

63

3 Kommentare

It is a pleasure to share another great IBM #LetsCreate #Technology Talk with Daniel Danner about IBM Fusion #IBMFusion Daniel and I discussed the importance of Red Hat #OpenShift. Daniel explained the major use cases: these are: 💡Artificial Intelligence - and the need bring the #AI to the data and not the other way round. 🫙 Containers - for new application and modernizing existing ones. 🫧 Virtualization - for a modern alternative opening the way to containers. IBM Fusion and the IBM Fusion HCI (Hyperconverged Infrastructure) address the cloud native innovation and allow for sovereign, secure and resilient implementations. You can find this and all previous episodes in full length and quality here: https://lnkd.in/evrjvSHH

48

2 Kommentare