Experient’s Post

In 2025, #AI in the enterprise will experience steady growth, with a focus on augmenting employee #skills rather than replacing them. With broader access to AI tools, businesses will gain a competitive #advantage by enhancing existing knowledge and processes. Data assets will become increasingly important, and making them AI-ready will be essential, especially with tools like Retrieval Augmented Generation (RAG). 📈 Managing costs and measuring ROI will remain key challenges, but in 2025, we’ll see new frameworks that help enterprises unlock AI’s full potential. The companies that strategically deploy AI to complement their strengths will stay #competitive and avoid the risk of becoming obsolete. 🔑 👉 Explore more at: https://lnkd.in/dgYFrZdB #EnterpriseAI #Innovation #DigitalTransformation AI-driven change is coming but 2025 will be a year of slow and steady progress.

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 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

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

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.

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.