How AI is Turning Cashflow Forecasting into a Strategic Advantage

AI cashflow forecasting is reshaping how enterprises understand, predict, and control liquidity. This blog explores the rise of the cash-aware enterprise—where AI connects operational signals with financial outcomes to deliver real-time visibility, smarter forecasting, and more confident decision-making across finance and business teams. Traditional cashflow forecasting can no longer keep pace with today’s dynamic business environment. Discover how AI-driven cashflow forecasting enables the cash-aware enterprise—providing continuous insights, predictive intelligence, and enterprise-wide alignment to manage risk, improve liquidity, and drive resilient growth.

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Advanced AI Capabilities in Azure AI Services – 14 questions every CIO should ask

Recently, Microsoft announced new features in Azure AI Services at the Ignite 2023 event. As a Microsoft partner, we are following these updates closely and exploring how the new features will unlock more value for enterprises. The slew of updates is more focused on empowering businesses with enterprise-grade generative AI applications – from leveraging cutting-edge foundation models to building AI applications to enhancing user experiences on those AI applications. Developing generative AI applications that work exclusively on your enterprise data, for your enterprise is a complex process. You need powerful GPUs to finetune large language models (LLMs). Making this process easier for enterprises, Microsoft launched Model as a Service (MaaS) in the Azure AI model catalog. Using MaaS, you can finetune LLMs and build generative AI applications using inference APIs. You will be charged for the number of tokens used as part of the pay-as-yo...

Can Agentic AI Make Customer Service Truly Real-Time?

For years, enterprises have tried to make customer service faster — automating workflows, tightening SLAs, launching 24/7 chatbots. Yet customers still wait — not only for responses, but for reassurance that someone understands. Speed alone doesn’t feel like care anymore. Because real-time isn’t defined by seconds — it’s defined by intelligence that understands intent and acts with empathy. That’s the new frontier of customer experience emerging through Agentic AI for customer service — a system of intelligent agents that doesn’t just respond instantly but reasons, learns, and collaborates with humans to make service truly real-time. Are We Solving Problems or Just Replying Faster? Most customer service journeys still begin the same way they did a decade ago — a ticket raised, a call logged, an email sent. Every step that follows is a reaction. Agentic AI for customer service redefines that flow. Instead of waiting for a customer to report an issue, intelligent agent...

Leveraging enterprise-grade Generative AI in cognitive search

Microsoft has integrated ChatGPT with Bing for an enhanced search experience. Can you also build a ChatGPT-like search engine for your business so your employees can interact with your data? Yes, you can, by integrating enterprise-grade generative AI with cognitive search. Before exploring how, for the uninitiated, let’s discuss cognitive search and the challenges it solves for businesses What is cognitive search? Enterprise data is vast. Studies estimated enterprise data to be over two petabytes in 2022 , with an average annual growth of 42 percent. This data is historical and real-time, coming from consumers, employees, and machines. It is structured and unstructured, across systems located in the cloud or on-premises. Enterprises are producing more and more data. Data sitting idly in the servers doesn’t serve its purpose. Data must be accessible for you at the right time. However, traditional search mechanisms fall flat here. They face several challenges in...

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