Systems | Development | Analytics | API | Testing

Why data‑savvy business users are moving beyond simple prompts to automated GPT‑powered sheets and pipelines that handle millions of rows and deliver governed insights at speed.

In design, time has always been more than just a resource — it’s a key metric of competitiveness, and today, it matters more than ever. With generative AI accelerating every phase of product development, the stakes are rising fast, triggering a sharp rise in demand for AI-driven design tools. According to Precedence Research, the global generative AI in design market is projected to grow from $741.11 million in 2024 to over $13.9 billion by 2034, expanding at a CAGR of 34.11%.

The rapid acceleration of AI adoption is transforming how enterprises design their data infrastructure, driving the need for robust, scalable, and energy-efficient solutions. At Hitachi Vantara, we’re building the future of AI storage by collaborating with NVIDIA to close the gap between data and AI compute. Our mission: help organizations unlock faster, smarter insights with an AI-ready data pipeline.

Mobile apps aren’t just another digital touchpoint anymore – they’re the front line. Whether you’re banking, booking a ride, ordering dinner, or catching up on emails, it’s happening on your phone. But when things go wrong, customers don’t wait around. According to PwC, 32% of customers would stop doing business with a brand they love after just one bad experience.

Anyone who has tried to build a recommendation engine or a churn predictor knows the moment the excitement fades. The prototype looks good in the notebook, but the training data contains typos, half-missing properties, and events that somehow morphed between different devices. The model stumbles, engineers lose faith, and everyone wonders where all that AI magic went.