Data & AI

A few years back, a healthcare organization approached us to build Arrow.HQ, an AI-powered revenue cycle management software designed to help healthcare organizations address financial inefficiencies across the revenue cycle.  That caught our attention.  Most of the healthcare AI solutions we build focus on improving clinical care, much like Sully AI, an AI-powered copilot designed to support physicians. Healthcare revenue cycle management software, by comparison, rarely gets the […]

Nihir Patel September 14, 2026

Businesses everywhere are talking about AI. But they aren’t adopting it in the same way. AI adoption in 2026 is no longer a question of “if” but “how fast, how deep, and to what end.” Yet the pace, priorities, and pathways vary dramatically by region. The United States leads in private capital and frontier-model innovation; Europe excels […]

Mehul Rajput September 21, 2026

Data migration is the foundation of digital transformation. You cannot fully modernize a business if critical data remains locked inside outdated, disconnected, or inefficient systems. But moving enterprise data is rarely as simple as transferring records from one system to another. Legacy schemas, inconsistent data, undocumented dependencies, multiple source systems, and strict compliance requirements can turn a […]

Sanskar Mehta September 1, 2026

The latest MIT Sloan AI risk study, based on input from 272 experts, shows that the most urgent AI risks are not limited to isolated technical failures. They include dangerous capabilities, weapons and cyberattacks, concentrated power, and false or misleading information, with 18 of 24 risk domains viewed as carrying at least a 10% chance of […]

Himanshu Gupta August 24, 2026

RAG vs. fine-tuning: the most common question comes to the minds of tech decision-makers. It’s quite common in cases such as planning an enterprise AI initiative, developing an AI app that’s customer facing, modernizing an existing product with generative AI, or evaluating AI architecture before committing budget and engineering resources. One of the biggest challenges in AI adoption is […]

Shakti Patel August 12, 2026

There are tens of thousands of commercial AI apps and platforms available in the global market. Major aggregator directories like There’s An AI For That track roughly 50,000+ AI tools across web and mobile, while developer repositories feature millions of underlying models and code packages. Every business leader sees the same headlines: companies are using AI to automate operations, […]

Himanshu Gupta September 24, 2026

Businesses everywhere are investing in AI. Some want to automate repetitive work. Others want to build smarter products, improve customer support with AI, or make better business decisions. The biggest question usually comes after deciding to adopt AI. Should you build an in-house AI team or outsource AI development to a specialized company? There is no one-size-fits-all answer. […]

Himanshu Gupta July 23, 2026

AI is a priority for enterprises but developing AI initiatives often fail during implementation. According to Gartner, organizations will abandon 60% of AI projects due to the lack of AI-ready data through 2026. Enterprises move forward with AI implementation without clearly understanding if they have enough data, if AI can even solve the problem or if it will provide clear measurable […]

Himanshu Gupta July 22, 2026

Nowadays, every business wants to adopt AI to benefit from its transformative capabilities. From streamlining operations and unlocking new insights to enhancing customer experiences and driving innovation, the promise of artificial intelligence is undeniable. Yet out of 100 corporate projects, only 5% of AI initiatives achieve long-term success, while a staggering 95% of AI initiatives fail. Why is the failure rate […]

Mehul Rajput September 24, 2026

Planning to adopt AI? Check out this detailed AI readiness assessment framework to evaluate how prepared your existing landscape is to adopt AI successfully.

Himanshu Gupta August 25, 2026

AI is transforming how people work, make decisions, and interact with digital products, from recommendations on your streaming app to fraud detection protecting your bank account, chatbots answering your customer service queries, and the algorithms deciding which job listings you see. However, behind every AI system that works well, there is a rigorous, structured process […]

Himanshu Gupta September 21, 2026

As enterprises move beyond generative AI, two approaches are emerging: Copilot AI and Agentic AI.  While Copilot AI helps people complete tasks faster, Agentic AI can independently plan and execute workflows with minimal human intervention. Understanding the difference between these approaches is essential for businesses evaluating AI investments in 2026. What is Copilot AI? Copilot AI is designed […]

Shakti Patel September 24, 2026