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Future-Proof Your Company’s AI Strategy: How a Strong Data Foundation Can Set You Up for Sustainable Innovation

As the hype around AI and GenAI transitions from experimentation to real-world execution, companies are focusing on making the most of their investments. However, one key challenge they face is the tendency to keep data and AI efforts separate, which limits the potential of your AI models.

So, how can you address this AI-Data gap?

Krishnan Venkata, Chief Client Officer at LatentView Analytics, shares best practices to address this gap and strengthen your data foundation.

The New Shift of Global Capability Centers to Innovation Hubs

Global Capability Centers (GCCs) have been an essential part of corporate strategy for decades, offering access to global talent pools that can enhance a company’s organizational capabilities and provide critical support to sustain periods of rapid growth. Traditionally, these centers were designed as a cost-saving option for companies with large-scale operational needs, serving as offshore or nearshore hubs for many services such as finance, IT, and customer service.

Back to the Drawing Board: Building India’s Tech Talent Ecosystem

There is high demand and higher supply, yet the two don’t meet for the Indian tech industry. Last year, TCS reported 80,000 vacancies, but the majority of the 1.5 lakh engineering graduates who pass out annually did not suit the job. Similar is the contrast when it comes to the economics of the sector.e

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 more

3 Core Principles to Drive ROI from GenAI Deployments

Gartner predicts that by 2025, at least 30% of GenAI projects will be abandoned mainly due to poor data quality, and failure to deliver business value.

However, another Gartner survey highlights that successful GenAI deployments have led to impressive outcomes: 15.8% revenue growth, 15.2% cost savings, and 22.6% productivity gains. So, what sets apart the companies that succeed with GenAI from those that fall short?

Vivek Singh, Growth Head – Hi-Tech, outlines three key principles to help businesses evaluate, select, and enable GenAI use cases—ensuring risk management, cost control, and transformative results.

Changing How We Think About GenAI in the Boardroom: Navigating Short and Long-Term ROI

The hype around GenAI is undeniable, with companies rapidly adopting it. But the question on every boardroom's mind is: when will we see a return on our investment? The answer is more nuanced than simply calculating costs.

Firstly, we must reframe how we perceive ROI in the context of AI/GenAI. While the allure of immediate, transformative results is strong, these technologies are still in their early stages.

Read this article where Prasun Velayudhan, Associate Director at LatentView Analytics, shares insights on what you must focus on for a successful AI/GenAI transformation.

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

Just a few months ago, business leaders were exploring the use cases of GenAI, experimenting with models, and testing the waters. Today they have tested GenAI on pilot projects and seen 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 Ramadurai, Practice Head - Marketing Analytics, shares some key insights on scaling GenAI programs for the long term.

LatentView Q&A: Supply Chain Disruption is the New Reality

Can supply chains really become fully autonomous with agentic AI? What are three areas in supply chain management where AI will be a game changer? How can companies tell if the tech they're adopting is actually building resilience?

Sunder Balakrishnan, Practice Head - Supply Chain at LatentView Analytics, breaks it all down in this interview with Supply Chain Digital.

Personalization, Automation And Trust In Data: Key Trends Shaping Banking And Financial Services

Remember when banking meant spending hours in line and filling out paperwork? Fast-forward to today, and everything is on your phone—from account details to investments, and even recommendations for where to invest their funds.

AI and analytics are transforming financial services in ways we haven’t seen since the ’90s digital boom. Over the next decade, how financial institutions connect with customers and how they run behind the scenes will look radically different. So, what’s driving this shift? Our Business Head – Financial Services, Parijat Banerjee, outlines the key trends shaping the Banking and Financial Services industry in his recent article.