Simform

We work with enterprises across BFSI, healthcare, retail, supply chain & more — in North America, the UK, EMEA, and beyond. 👇Read the full @MarketsandMarkets report here marketsandmarkets.com/Market-Reports… #ApplicationModernization #360Quadrant

In practice: → 70% reduction in quote generation time for a manufacturing enterprise → 30% lower manual operational overhead for a last-mile logistics platform

Simform has been recognized as a 'Pervasive Player' in the Application Modernization Services Market by @marketsmarkets on its 360Quadrants platform — one of only 35 vendors selected from 200+ evaluated globally. 🧵

Watch the full webinar here 👇 simform.com/lp/webinar-dwh…

Most organisations believe they're ready to adopt GenAI. But their data says otherwise. McKinsey found that 63% of Chief Data Officers report they don't have the right data foundation to adopt generative AI. Here's what that actually means for your organization

Before pushing for more AI-led automation in the data lifecycle, ask one question: Does your organization have clear ownership, enforceable quality standards, and enough observability to trust what is being scaled? That is where productivity becomes durable.

At @Simform, that is exactly how our data engineering teams work. Governance and quality policies embedded directly into pipelines. Not managed separately outside them. That is where productive automation and risky automation actually diverge.

Most enterprises are not struggling with a lack of data automation. They are struggling with slower, more expensive data execution as scale increases. Here is why #AIready #DataOps is the answer most teams are not ready for. 🧵

AI won't break your budget. It will expose whether you ever knew where your money was going. The question isn't whether your AI costs are growing. It's whether you can see them at the level where they actually compound.

This is engineering-led FinOps. For Azure teams, the gap between observability & actual spend governance gets closed at the infrastructure layer. Not bolted on at quarter-end. Built in from day one. That's the model we bring into agentic AI engagements at @Simform.

IDC projects AI infrastructure costs will run 30% over budget by 2027. Agent usage: 10x. Inference demand: 1000x. Cloud waste at baseline: 20 to 30%. AI doesn't create new cost problems. It amplifies the ones you haven't solved. Here's what's actually happening. 🧵