Featured Thinking
- Analytics
- 5 min read
Top Data Analytics Trends for 2023 - Infographic
By the end of 2025, it is estimated that over 175 zettabytes (175 trillion gigabytes) of data will be generated worldwide through digital interaction. – IDC As the volume of data grows, the importance of data analytics has never been greater.
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- Strategy
- 14 min read
Digital Employee Experience: What Businesses Need to Know
Are your digital workplace empowering employees to perform at their best, or is it hindering their productivity? In 2025, a seamless, tech-enabled workplace is no longer optional, it’s a business imperative. With 73% of employees expecting AI-driven, flexible tools, organizations
- AI
- 26 min read
How Retailers Redefining Digital Shopping Experience in 2025
Retail in 2025 is no longer just about transactions—it’s about intelligent, seamless, and highly personalized shopping experiences that cater to individual customer preferences. The retailers that dominate today’s market are those that leverage AI, automation, and digital transformation to remove friction, enhance engagement, and anticipate customer needs before they even arise. From AI-driven personalization to frictionless omnichannel integration, today’s digital-first customers expect experiences that are effortless, hyper-relevant, and secure.
retail
Explore our thoughts on enhancing digital experiences in the retail industry.
Manufacturing
Learn about bringing digital innovation to the manufacturing industry.
Logistics
Our thoughts on disrupting and
re-inventing the logistics
industry.
Healthcare
Insights on reshaping patient experience in the healthcare industry.
- AI
- 30 min read
What is Conversational AI?
It’s late at night, and a frustrated customer is trying to get help from an online retailer. They type a question into the chat window, expecting the usual long wait times. Instead, they get an instant, accurate response—followed by a seamless resolution of their issue. No human intervention, no delays, just smooth, intelligent support. This is conversational AI in action.
- AI
- 12 min read
How Businesses Can Speed Up Code Migration with Gen AI
Code migration, the process of transitioning from outdated programming languages, platforms, or architectures to modern ones, is a critical step in future-proofing an enterprise. Yet, traditional code migration is notoriously slow, expensive, and resource-intensive. It demands meticulous manual effort to rewrite, refactor, and test code while ensuring minimal disruptions to ongoing business operations. Many companies delay migration due to fears of downtime, technical debt, and compatibility issues, leaving them stuck with outdated systems that hinder growth. This is where Generative AI (Gen AI) comes in. By automating key aspects of code migration, Gen AI enables businesses to cut migration time in half, reduce costs, and enhance software quality—all while minimizing risk.
- AI
- 20 min read
5 Most Effective AI Strategies to Boost Customer Engagement
Customer engagement used to be straightforward: send out email campaigns, provide call center support, and hope for the best. That approach doesn’t work anymore. Today’s customers expect instant responses, hyper-personalized experiences, and seamless interactions across multiple platforms. They don’t want mass-marketed content; they want businesses to anticipate their needs and provide value before they even ask for it. This shift in customer expectations is why AI is now the driving force behind modern engagement strategies.
- AI
- 21 min read
Managed AI Services: Most Effective Way to Getting Started
Here’s the reality: AI adoption isn’t as simple as flipping a switch. Companies often face roadblocks such as high infrastructure costs, lack of in-house expertise, complex AI model deployment, and compliance concerns.
- AI
- 25 min read
What is Regenerative AI and how it is different from GenAI
The AI Evolution: From Automation to Autonomous Decision-Making Artificial intelligence has already transformed how businesses operate—automating workflows, predicting trends, and personalizing customer interactions. But here’s the problem: most AI systems still require human oversight. They follow fixed rules, process historical data, and make
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