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Welcome to this edition of LatentView’s ‘Why’ Axis monthly newsletter. This newsletter is your one-stop shop for understanding what's happening across industries – and, more importantly, WHY it matters. We present the most interesting industry developments from the LatentView lens.

Industry Perspectives

Financial Services

Is your data “PURE”?

In any AI transformation, data is the heart of the whole operation. The second leg is developing the AI models, and the third is the organizational transformation. For its AI to really work, DBS anchored its transformation on the 'PURE' framework, which dictates that data must be purposeful, unsurprising, respectful, and explainable. Business leaders going all in with AI must first champion the creation of robust, well-architected data repositories, ensuring lines of business defining governance organizations with 2-in-a-box model. This requires much more than purely technical implementation; it demands a cultural shift towards data literacy and a crystal understanding of respective KPIs. The real success in the medium term is where you define AI co-pilots functioning at optimal accuracy and being leveraged by the human-in-the-loop. Over time, this framework opens up a highly productive, very powerful AI version of banking for the individual customer in the not-so-distant future powered by data at its core.

- Parijat Banerjee | Business Head - Financial Services, LatentView Analytics

Data Engineering

A partnership that simplifies data management?

Traditional SAP environments often hinder decision-making due to rigid architectures and siloed data, leading to high Total Cost of Ownership (TCO) and inefficiencies. Organizations face significant challenges in accessing and integrating data, which slows down reporting and decision-making processes. The partnership with Databricks offers a solution by enabling real-time access to SAP data through a unified, scalable lakehouse architecture, reducing costs and eliminating data silos. This modern approach empowers enterprises to leverage AI-driven insights, optimize operations, and enhance profitability, ultimately fostering innovation and competitiveness in today's fast-paced market.

- Sunil Kalra , Practice Head - Data Engineering, LatentView Analytics

The Data-AI Symbiosis

The difference between AI hype and AI success is the depth of data engineering behind it. A critical part of this data-first approach is understanding that around 90% of data is unstructured, taking the form of documents, images, and videos. This unstructured data is the raw material organizations want AI to leverage. You must focus on the foundational work of sourcing, synthesizing, and curating this unstructured data. It also means we need to be aware of potential issues like latent bias and the regulations that govern the use of AI. A well-structured data ecosystem doesn’t just enable AI; it invariably amplifies its impact.

- Aruhn Ramasubramanian | Associate Director - Data Engineering, LatentView Analytics

Artificial intelligence

What took center stage at the Paris AI Action Summit

Trust isn't just a feature—it's the foundation. The summit brought to the forefront that data sovereignty for the Global South is essential for building trust and fostering genuine partnerships. You cannot view AI solely through the lens of the bottom line; there are broader socio-economic implications. This means you must shift your mindset to ensure that the data you use is sourced responsibly. The opportunity isn’t just in adopting AI—it’s in building AI that understands local markets, consumer behaviors, and industry nuances better than anyone else.

- Theagarajan Thanikachalam , Associate Director, LatentView Analytics

LatentView Insights and Highlights

Forbes

Europe’s Economy Needs A Reboot Using Sustainable AI In 2025

The EU is facing a challenging economic landscape in 2025, with global growth at 2.8% and the EU at just 1.5%.? The slow recovery means leaders need to get creative, especially when it comes to balancing innovation with budget constraints, particularly around large-scale AI deployments. With the pressure to derive ROI from AI, leaders must be innovative and prioritize purpose-driven technology adoption. In this article, Sanjay Annadate , Business Head - Europe at LatentView Analytics, shares the three key pillars that business leaders in the EU need to focus on in 2025.

Unite.AI

From Pilot to Production: Insight on Scaling GenAI Programs for the Long-Term

How can you move your GenAI pilot project into production?? Just a few months ago, business leaders were exploring the use cases of GenAI, experimenting with models, and testing the waters.? Today, they tested GenAI on pilot projects and saw encouraging results. However, it's one thing to work on pilot programs, but it's quite another to get it ready for prime time. Boobesh R. , Practice Head - Marketing Analytics at LatentView, shares some key insights on scaling GenAI programs for the long term.

Forbes

A Marathon Of Innovation: 4 AI Technologies To Watch In 2025

Some might agree that the AI advancements in 2024 looked like a page from a science fiction novel. Those great strides have set a precedence for something far more pivotal. In 2025, AI will fundamentally alter how you operate, make decisions, and connect with customers. While it is critical to think bigger and act bolder, Venkat Viswanathan emphasizes the importance of sticking to the most elemental principle—achieving meaningful, scalable impact. Read the article to explore the future technology landscape and its implications for your business.

Roambee

Navigating the Fourth Inflection Point in Supply Chain Management ft. Latent View Analytics

Is your supply chain ready for the next wave of disruption? In the latest episode of The Supply Chain Technology Podcast, Sunder Balakrishnan , Director of Supply Chain Analytics at LatentView Analytics, joins host Scott Mears , Senior Marketing Manager at Rombee, to discuss the fourth inflection point in supply chain management. This episode focuses on making AI work and the key pillars of digital transformation: people, processes, technology, data, and customer focus—and why leadership is key to success.

High On Data Podcast

Enhancing your marketing approach with a flexible and AI-led full-funnel strategy

The customer journey today is less of a straight line and more of a series of loops, detours, and even dead ends. And the modern marketers are aware of this. Yet implementing full-funnel marketing effectively and at full scale is challenging. This episode of 'High on Data' with Ahnsik Shin (AJ) from Adobe and Mahalakshmi Nageswaran from LatentView dives into the world of full-funnel marketing, offering a critical look at how non-linear customer journeys are changing the game, especially in the B2B space.

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