ISG Provider Lens® Study 2025, AI aspirations and execution, and how datakulture shapes them end-to-end.

Execution-first specialists shapes what comes next

Let’s consider this situation. A company has spent months and millions of dollars in a promising AI solution that’s supposed to change the way their teams worked. The demo was great. The pilot peaked. The project was about to reach the launch, but that day never happened. Why? It couldn’t go through certain iron railings: a few fragmented data sources that’s still not a part of the company’s ecosystem, unclear roles and ownership, slow governance, and costs that reach sky to seep through roadblocks.

For years, the conversation around analytics and AI was dominated by platforms, models, and pilots. Enterprises and growing companies jumped in to invest heavily in experimentation and proof-of-concept initiatives.

Most of those pilots worked.

But the harder part arrived later. When those early successes had to evolve into systems that ran every day. Systems that business teams trusted. Systems that regulators could inspect. Systems that didn’t quietly fall apart when data changed, teams changed, or costs surfaced.

Above the surface, everything looked aligned. Below it, foundations were fragmented.

Down stepping from AI ambitions to foundations first principles

Large platforms like Databricks, Microsoft Fabric, and cloud-native AI services made advanced capabilities accessible. But they were never designed to solve organizational fragmentation on their own. They don’t reconcile definitions across teams. They don’t enforce discipline where processes are weak. They don’t resolve integration debt accumulated over years.

That work falls to specialists. Specialists are the ones enterprises turn to when the goal shifts from trying AI to running AI.

Thankfully 2025 has been a visionary year which brought a clear shift. Subject matter experts, engineering leaders, and business heads have largely stopped debating which AI model to use. Instead, their focus has moved to more basic, uncomfortable questions:

• Where does this data come from?

• Why do similar reports show different numbers?

• Who owns this pipeline when it breaks?

• Can we explain this decision six months from now?

• What will this actually cost once it’s in production?

Why specialists matter now more than ever

Specialists operate differently from large platforms or generalized providers.

They work in the messy middle.

They deal with what already exists.

They connect systems that were never meant to speak to each other.

They focus as much on demos as of durability.

“Sedin, through its datakulture practice, approaches advanced analytics and AI from a modernization-first standpoint, anchoring innovation in governed data foundations. Its metadata-driven ETL assets, Fabric-centric architectures, and applied AI solutions such as Vidura and domain-specific agents reflect an ability to operationalize analytics and GenAI with discipline, traceability, and cost awareness across complex enterprise environments.” - Gowtham Kumar, Assistant Director and Principal Analyst

How datakulture/Sedin Technologies shines as a specialist analytics and AI services provider

Our work through datakulture practice has consistently started with foundations. Our focus has been beyond delivery, making sure whatever we build sticks and stays. Here’s how we do things diffferently.

Applied AI that stays tied to real workflows

We apply predictive modeling, optimization, and GenAI where it directly supports enterprise workflows. Outcomes show up in operations, not prototypes. Traditional statistical methods work alongside agent-assisted interactions and natural language querying, without breaking governance or traceability.

Predictable delivery in complex, multi-platform environments

Our consultants focus on predictability. Using lineage-enabled architectures, supervised workflows, and governed pipelines, we bring clarity around how data flows, who can access it, and how costs evolve over time. This matters deeply in regulated and operationally sensitive environments.

Integration-first accelerators that improve speed without disruption

We help modernization and intelligence advance together. Our reusable assets, pipeline accelerators, and persona-driven visualization templates improve implementation speed without forcing early platform lock-in or disruptive organizational change.

Built for the entire journey, not just the highlight reel

Our capabilities span the full analytics and AI lifecycle, from foundation to decision-making:

• Fitchek, an AI-powered image generator that transforms flat lay images into hyper-realistic product photography.

• Vidura, an interactive platform that enables teams to navigate large document libraries and retrieve contextual answers without losing control or traceability.

• Sedstart, a no-code automation platform that improves test coverage and accelerates feature delivery.

• Metamenu, an SEO and AEO platform that helps brands get discovered, drive traffic, and build authority.

These tools are not isolated innovations. They reflect the same philosophy that guides our services: context matters, foundations matter, and outcomes matter.

Looking ahead

“Our journey has been about disciplined problem solving and applying strong engineering and math-led AI to deliver impact without disruption. ISG’s recognition is a welcome validation of this purposeful approach.” - Jagadeesan, Co-founder and Practice Head @datakulture, A division of Sedin Technologies

Recognition matters when it reflects reality. The ISG study validates the work we have been doing consistently with enterprises navigating the hardest part of analytics and AI transformation. Download the entire report here.

As AI adoption accelerates, the role of specialists will only grow. Not to replace platforms, but to make them work in the real world.

That is the space datakulture is proud to operate in. And it’s where the next phase of analytics and AI will be shaped.

You can download the entire report from here.