Francesca Farfariello’s Post

The initial hype has settled, and businesses are shifting their focus from theoretical possibilities to practical applications. Great article from Dr Martin De Saulles on "What to expect from AI in the enterprise in 2025". Our key takeaways from the post: Augmenting employees, not replacing them: AI will enhance human capabilities, not replace them. Focus on data assets: Companies must prepare their data for AI integration. Controlling costs: Calculating AI costs and scaling will be crucial. Measuring AI ROI: New frameworks will emerge to measure AI's qualitative benefits. Avoiding irrelevance: Businesses must adapt to AI-driven change to stay competitive. We'd love to hear your thoughts! What are your AI adoption predictions for 2025? How is your organization preparing for the challenges and opportunities ahead? https://lnkd.in/gWWYC_uh

🌟 The Future of AI in Enterprises: What's Coming in 2025 🤖✨ As AI evolves, enterprises are learning to balance expectations with reality. In 2025, success will come from: 🔹 Augmenting employees, not replacing them 👩💻🤝👨💻 🔹 Leveraging data as a key asset 📊 🔹 Focusing on cost control and ROI 💰 🔹 Avoiding disruption through innovation 🚀 Dive into these trends and more in this insightful article from CIO 👇 #Ai #EnterpriseInnovation #DigitalTransformation

To be successful with AI in 2025, companies need to adopt AI in alignment with their strategic objectives, invest in workforce upskilling, address ethical and privacy issues, strengthen infrastructure and governance and foster innovation and agility. Read more about how to win with AI in 2025. #AI2025 #FutureOfAI ##AIforEnterprise #AIStrategy

In this lookahead at AI in 2025, two things stand out: - AI as an augment to employees: A lot of corporate knowledge and expertise is not written down or coded. Employees harness this info every day, and AI is unlikely to have access to it. It's better to think of AI as an accelerator to help people work their best. - Importance of RAG: Data assets are already highly prized. RAG offers the potential to turn these assets into a goldmine. Combining foundation models with proprietary data is the key to getting truly impactful results.

The global impact of adapting AI in enterprises will be 17.9 billion euros by 2030🔍 Ever wondered about the Global Impact of AI Integration? 👀 In a world of relentless technological advancements, AI is set to make a captivating impact around the globe. Surprisingly, the expected global impact is calculated to be a whopping 17.9 billion euros by 2030! 🌍💡 AI plays a critical role in shaping businesses by enhancing efficiency, optimising analytics and improving customer experience. 💼🚀 With AI at its core, enterprises are standing on the brink of transformative growth and technological advancement 📊✅ Companies like Amazon, with a key focus on machine learning and predictive analytics, are stepping forward to make data-based decisions more adaptable. This, in turn, helps businesses prepare for the future and adapt to evolving environments. 🏢🔝 From small changes in our daily life to revolutionizing enterprise sectors, AI is making its impact felt in every possible way. Join us in welcoming the dawn of intelligent machines and their unimaginable implications. 🤖🎉 Step into the future of AI-driven success! Read our full story here: https://lnkd.in/dmhss5it #ArtificialIntelligence #AI #AIIntegration #GlobalImpact #BusinessGrowth #TechnologicalAdvancement #FutureTrends

Thinking of adopting #AI, or need some guidance on how to use it to maximize organizational efficiency? Check out the results from this IDC survey sponsored by @Microsoft for facts and figures that demonstrate why deploying an enterprise-wide AI strategy can potentially give you a 3.5 to 1 ROI in as little as 12 months. View the infographic for insights on how deploying MS Azure AI can maximize efficiency, optimize data and skills readiness, AI governance, and technology usage. DM us to discuss getting started with MS Azure AI Services.

Thinking of adopting #AI, or need some guidance on how to use it to maximize organizational efficiency? Check out the results from this IDC survey sponsored by @Microsoft for facts and figures that demonstrate why deploying an enterprise-wide AI strategy can potentially give you a 3.5 to 1 ROI in as little as 12 months. View the infographic for insights on how deploying MS Azure AI can maximize efficiency, optimize data and skills readiness, AI governance, and technology usage. DM us to discuss getting started with MS Azure AI Services.

Thinking of adopting #AI, or need some guidance on how to use it to maximize organizational efficiency? Check out the results from this IDC survey sponsored by @Microsoft for facts and figures that demonstrate why deploying an enterprise-wide AI strategy can potentially give you a 3.5 to 1 ROI in as little as 12 months. View the infographic for insights on how deploying MS Azure AI can maximize efficiency, optimize data and skills readiness, AI governance, and technology usage. DM us to discuss getting started with MS Azure AI Services.

Thinking of adopting #AI, or need some guidance on how to use it to maximize organizational efficiency? Check out the results from this IDC survey sponsored by @Microsoft for facts and figures that demonstrate why deploying an enterprise-wide AI strategy can potentially give you a 3.5 to 1 ROI in as little as 12 months. View the infographic for insights on how deploying MS Azure AI can maximize efficiency, optimize data and skills readiness, AI governance, and technology usage. DM us to discuss getting started with MS Azure AI Services.

Thinking of adopting #AI, or need some guidance on how to use it to maximize organizational efficiency? Check out the results from this IDC survey sponsored by @Microsoft for facts and figures that demonstrate why deploying an enterprise-wide AI strategy can potentially give you a 3.5 to 1 ROI in as little as 12 months. View the infographic for insights on how deploying MS Azure AI can maximize efficiency, optimize data and skills readiness, AI governance, and technology usage. DM us to discuss getting started with MS Azure AI Services.