PPC in eCommerce is no longer about who spends more—it’s about who adapts faster. With automation and AI taking center stage, the gap between smart and standard campaigns is widening.
Read More What’s Next for eCommerce PPC in 2026? 10 Key Predictions for Paid Advertising
MSMEs (Micro, Small, & Medium Enterprises) are the backbone of any modern economy. In fact, they are known to account for over 2/3rds of employment in growing economies. However, they continue to struggle with business productivity due to manual processes, siloed data, fragmented systems, and resource constraints.[1]
Read More Process Automation in SMEs: How Small Businesses Can Compete with Larger Enterprises?
You must have heard that AI is transforming industries, but how much will it cost to bring this transformation to your business?
Read More How Much Does AI Development Really Cost? A Comprehensive Breakdown
Not every customer impacts your bottom line the same way—and most advertisers know it. In most cases, a small portion of your audience—roughly 20–30%—can drive up to 70–80% of total sales. Identifying and reaching these high-value segments, however, is easier said than done. Standard Amazon Advertising tools offer useful but limited targeting options, such as:
Read More Leveraging Amazon Marketing Cloud to Build High‑Value Audience Segments
Marketing in 2025 isn’t a linear funnel—it’s a dynamic, intricate omnichannel journey, where every touchpoint matters. Traditional attribution models—focused on last-click, first-click, and linear frameworks were built for a simpler era, where customer journeys were straightforward, cookies tracked everything, and a purchase happened within days of that first ad impression.
Read More Amazon Marketing Cloud vs. Traditional Attribution Models: Who Leads the Way
AI is evolving from a supportive system into an autonomous decision-maker, transforming industries like healthcare and finance. Agentic AI systems, capable of acting with minimal human supervision, are redefining how businesses operate—delivering faster insights, predictive capabilities, and greater efficiency.
Read More How Businesses Can Achieve Data Privacy and Governance in Agentic AI?
“Generative AI is shifting from coding assistants to enterprise transformation, enabling organizations to analyze and modernize complex legacy systems.” — Gartner, Generative AI for Enterprise Transformation, 2024.
Read More Legacy Modernization Meets GenAI: Turning Decades-Old Systems into Digital Assets
Operational efficiency and automation are no longer nice-to-haves but survival necessities for businesses. Organizations have long relied on DevOps to streamline development and IT operations to achieve their desired efficiency benchmarks. However, today, as organizations are transforming with AI/ML at the core, this practice must extend beyond traditional software development lifecycles.
Read More Decoding DevOps vs. MLOps: How to Align The Frameworks with Business Goals
Imagine running a massive business like Capital One, where even a brief downtime can result in significant disruptions for millions of customers. Before moving to the cloud, Capital One faced exactly this challenge with its on-premises data centers, which were prone to outages that impacted services and frustrated customers. In 2016, the company took a bold step and decided it was time to leave the instability of its on-prem infrastructure behind. The move to AWS wasn’t just about upgrading technology; it was about ensuring higher availability, security, and a future where downtime would no longer be a constant concern.
Read More Cloud Migration Costs Unveiled: What You Should Expect at Each Step
The prototyping landscape has undergone a fundamental transformation.
While traditional prototyping methods and conservative design thinking have served organizations well for decades, they have begun to consume significant resources and development time. On average, a conventional design process consumes 8-20 weeks (and more if the use case is complex), resulting in a painfully slow process.
Read More AI in Prototyping: How It’s Changing (Not Replacing) the Designer’s Role