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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Applied AI is a rose – understand the thorny challenges

Applied AI – the application of AI technology in business, is skyrocketing. An Accenture report on AI revealed that 84% of business executives believe that AI adoption would drive their business growth. Applied AI empowers businesses with end-to-end process automation and continuous process improvement for greater productivity and profitability. However, applied AI is like a rose garden. AI-powered business applications are enticing, but you should be aware of the thorns surrounding the flowers. You need to use frameworks such as Responsible AI while embracing AI for your business. You should understand potential risks such as adversarial attacks and data poisoning. Understanding these concepts will help you address common hiccups in AI adoption for business before they choke your initiatives. Responsible AI Artificial intelligence is powerful. When used responsibly, AI can be a solution to many problems and change the world. It can be the...

Data Mesh vs Data Lake – Driving Business Insights at Scale

Data is now the soul of every digital business, and the pandemic has accelerated the adoption of Analytics and AI as a business function. Over the past few years, organizations had to rapidly move to new data technologies, modern data architectures, and infrastructure to drive innovations such as personalized product recommendations and predictive analytics. Despite such changes, collection, integration, and governance of data is still the main inhibitor to Analytics and AI success, says Deloitte Research . The evolution of business insights platforms can be fragmented into three generations, as per Zhamak : Organizations deployed traditional data warehouses in the first generation to generate reports as per the need. This was very expensive and lacked a centralized approach. As Big data and analytics gained popularity in the second generation, data warehouses were replaced by a central data lake. Though this became very popular, a few bottlenecks like data vol...

Business Growth Triad – Apps, Automation & Analytics Growth — for some, it’s a breezy long drive; for some, it’s a roller coaster ride; and for many, it’s a belly flop. When you are thinking about business growth, you must also plan to sustain growth. You need agility, resilience, and efficiency at the core of your operations. In the digital era, it’s never challenging to attain these capabilities. Let’s discuss three digital initiatives that help you drive success. Enterprise Applications Business growth brings more work and more challenges. In 2021, department stores generated 35% of their annual sales during the holiday season alone. That’s an excellent opportunity to build a loyal customer base and generate revenue to nurture more growth opportunities. On the other hand, it’s also a challenge for retailers to cope with the demand. They need more sales associates to help customers. More back-office staff to replenish goods. A sophisticated system to get a big p...

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