SAP WKN: 716460 ISIN: DE0007164600 Forum: Aktien Thema: Hauptdiskussion

Bei welchem Kurs würdest du deine Verluste realisieren? Oder zockst du Open end ohne sl

Also gestern Abend um 21:58 wurde mein Short mit knapp 30k Gewinn geschlossen. Das war sehr gutes Timing. Aktuell liegt mein neuer Short knapp 500€ im minus. Also alles total hervorragend

Der Absturz seit 9 Uhr ist wirklich heftig

Börse macht kein Sinn manchmal;)

Ja theoretisch

wie geht es dem short? die Prognosesenkung wird grade ordentlich gefeiert vom kurssetzer.

Coole shorts

Da ist keine Logik

Die Logik verstehe ich irgendwie nicht

Klein will es wohl wissen …

Jetzt wo etwas Druck genommen wurde … macht es wirklich Sinn Short zu gehen 😜😬🫣

"When they go low we go high" Michelle Obama über Trump

😵

Das ist schon längst beschlossene Sache denke ich 😅👍

SAP CFO says AI must move beyond chatbot 'low-hanging fruit' before seeing returns 23:49 23/07/2026 July 23 (Reuters) - SAP's finance chief said on Thursday that artificial intelligence in enterprise software must move beyond chatbots and coding tools into more complex business processes, where clean data, reliability and cost control matter more than access to the most powerful model. Companies have poured money into generative AI but are still seeking evidence of broad productivity gains, and SAP is arguing that the returns will come less from general-purpose models than from governed systems embedded in specific business processes. CFO Dominik Asam told reporters after SAP's second-quarter results that the "lion's share" of AI token consumption today was spent in "low-hanging fruits" coding assistant and chatbots, where AI's hallucinations matter less because the output carries limited risk if it fails. But applying AI to finance, supply chain or other core business processes is harder because errors carry over multiple steps, increasing risk against compliance standards, he said. "If you have some hallucinations in the process, the errors will actually compound statistically over many steps," Asam said, referring to finance workflows. "It requires much more excruciating assurance levels." The "high-hanging fruit" of AI, Asam said, is less about applying a generic plug-and-play large language model across a company than about building systems around specific businesses. That requires companies to make their own data usable and governed, so AI can operate with the knowledge of the company. "The idea that AI will solve all these problems if they are messy, legacy data silos is not true," Asam said, adding that such an approach came with "extremely high token costs." The most advanced model is not always the right one, he said. In practice, he said, companies will use the cheapest reliable tool that can deliver the required outcome safely, whether that is simple software, an open-source model or an expensive frontier model. (Reporting by Leo Marchandon in Gdansk; Editing by Alistair Bell) ((leo.marchandon@thomsonreuters.com))