Sopra Steria Next

𝐃𝐫𝐢𝐯𝐢𝐧𝐠 𝐀𝐈 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐏𝐮𝐛𝐥𝐢𝐜 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐧𝐮𝐜𝐥𝐞𝐮𝐬 𝐭𝐨 𝐬𝐜𝐚𝐥𝐞 𝐮𝐩!   How do we organize AI in order to scale in an organization? Starting point is the division of relevant tasks into more central or more decentral responsibility. On that basis three types of organizational models can be considered to drive an AI transformation, depending on the level of maturity and technological expertise of each organization.    Based on our experience from client projects Dr. Bernd Peper is convinced that the ‘Central unit as the nucleus for AI activities’ model is the most efficient for organizations.   DB long distance for example, has made impressive strides in digitalization by clearly defining use cases and taking a product-oriented approach to AI and by creating an AI Competence Center. The Center lead by Axel Schulz was established several years ago as the central hub for AI strategy, standardization, and implementation. Since then, numerous AI products have been developed and brought into daily business.   Solutions like this show how the full potential of AI in the public sector can be realized if the specifics of the organization are fully appreciated. “AI holds incredible potential for both European citizens and decision-makers in European public services. It is important to systematically share good examples and promote a culture of mutual learning in the European public sector.” tells us Ulf Glöckner, Group Practice Lead Public Sector.   Curious about understanding how a centralized AI strategy can lead to tangible success, even in complex public sector environments? Dr. Bernd Peper, Philipp Königer and Axel Schulz developed a document that outlines how organizations can navigate the challenges of the AI revolution.     📥Download our white paper « AI meets Organizations »  https://lnkd.in/etXnxFHG #AI #DigitalTransformation #PublicServices #DeutscheBahn #NextPublic DB Fernverkehr 

Coding will never be the same. Generating code more easily, more quickly, and with fewer bugs? AI is only starting to change soft engineering. What will it change? We studied Sopra Steria’s own experience of it, and tried to give it a (educated) guess. To learn more about our report “Navigating the AI Era”, ask for it right there 👇 https://lnkd.in/eFwm3sWU #AIforsoftware #NavigatingAI

[#GenAI] How to deploy? Which solution should be prioritized? How can we ensure long-term performance? Scaling up with AI can't be improvised. Cultural change and time management are key elements of our approach. Find out more right here 👇

2024 is 𝒕𝒉𝒆 year of AI industrialization. So, what are the 4 critical questions every business leader must answer to fully deploy AI in its operations ? Fabrice Asvazadourian, invited to #AiUncovered, our rendez-vous on BFM Business, shared its point of vue on these game-changing questions. 🎥 90 seconds to know more, right below ⬇️ #AI #GenAI #BusinessStrategy

#NavigatingAI - Telecommunication, finance services, health... these whole industries are currently transforming themselves with AI. We thoroughly studied their course and wanted to share our findings. And... virtual assistants and conversational tools are only the submerged part of the iceberg. Check out our findings! To learn more about our report “Navigating the AI Era”, ask for it right there 👇 https://lnkd.in/eFwm3sWU #Innovation #AIforhumans #GenAI

[#AIUncovered – Episode 4] Luxury: These Three Major AI Applications You Should Prioritize   The LVMH group has already deployed AI, often with a head start on its competitors, using it in three key areas that are foundational to the value of a great house: - Creativity - Excellence in customer relations - Sustainability and efficiency of production chains   Discover some of the use cases now perfectly integrated into the strategy of the luxury giant, with Franck LE MOAL, CIO of the LVMH Group.

Whether you like processes or not, a lot of changes are coming! Financial services, public utilities, and support teams are constantly striving to anticipate errors, prevent fraud, and detect anomalies more effectively. AI, applied to processes, may radically change the whole process automation market. Check out the first use cases and key facts and figures To learn more about our report “Navigating the AI Era”, ask for it right there 👇 https://lnkd.in/eFwm3sWU #Innovation #AIforprocesses #NavigatingAI

🔊 "𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐀𝐈 𝐄𝐫𝐚": Sopra Steria Next unveils an exclusive forward-looking study on the AI market ⛵ In an era where artificial intelligence is redefining business practices, the challenges are great, and expertise may still be lacking. To offer decision-makers an innovative analytical model, we redefined the boundaries of AI by categorizing it into four major types of applications. If you only had to take away a few key points... you'll find them below! To discover the 4 segments that will shape your AI strategies, ask for our full report here 📥  https://lnkd.in/eFwm3sWU 📲 Or contact us for a detailed presentation. #AI #SopraSteriaNext #NavigatingAI #GenAI

🚆 On this International Translation Day we would like to introduce you to the #TradSNCF translation solution.     How SNCF is revolutionizing the passenger experience with cutting-edge AI?     TradSCNF helps rail staff to communicate more easily with the 2 million foreign visitors coming to France for the Olympic and Paralympic Games - keeping passenger flow and networks running smoothly.     Sopra Steria Next was delighted to be involved in the implementation of this conversational tool, built with a railway-specific vocabulary to help SNCF staff during the Olympic Games and beyond.     Thank you SNCF for your trust and support!    Click here to learn more ⬇️  https://lnkd.in/gQHpG3zb

🚀 How to successfully deploy AI at scale in Organizations ?    The AI revolution is here, and no organization can afford to ignore it. While some companies have managed to integrate AI into their processes and achieve real performance gains, many still face significant challenges and struggle to move beyond the Proof of Concept (POC) stage.     So, where should you begin?     Drawing from our experience and the case of DB Long Distance, we’ve identified the key conditions for a successful AI transformation at scale:     #1. It's not enough to position a CAIO at the C-level. Responsibility must also be present in the operational units.   #2. There are too few AI experts in organizations - a competence center serves as a starting point for initial AI projects.   #3. The integration of AI solutions into the central organization, processes, and IT systems must be consistently thought out from the beginning.   #4. Portfolio management and risk management should be strategically supplemented with AI-related topics.   💡 Want to learn more about deploying AI effectively in your organization? Download our white paper « AI meets Organizations »  https://lnkd.in/etXnxFHG #AI #DigitalTransformation #AIStrategy #PublicServices Dr. Bernd Peper Ulf Glöckner Axel Schulz