Operationalizing Gen AI the Right Way
Generative AI is now a top priority for technology companies. It is no longer experimental. It is expected. According to McKinsey, nearly 60 percent of organizations have piloted at least one Gen AI use case. Yet most are still stuck at the prototype stage. Few have managed to turn their experiments into scalable, reliable, and user-facing...
Why SaaS Products Lose Momentum After Launch
The SaaS market continues to expand at an impressive pace. With global revenues expected to exceed $1,228.87 billion by 2032, the opportunities are clear. But alongside the growth comes a less talked about reality. Many SaaS products start strong but lose momentum...
Challenges That Make or Break Product Engineering Success
Product engineering in 2025 isn’t getting any easier. Technology moves fast, customer expectations keep rising, and competition is tougher than ever. Businesses are working hard to build scalable, secure, and high-performing products, but they’re also dealing with...
AI and Platform Engineering: Redefining Automation and Scalability
Artificial Intelligence (AI) is no longer just an additional tool in platform engineering—it has become a transformative force, shifting traditional, maintenance-heavy processes into proactive and intelligent ecosystems. In a world where even milliseconds of downtime...
Product Engineering Partnerships: The What, Why, and How
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Managed IT Services explained: What’s up & coming in 2022?
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Application Retirement 101 – Drafting the legacy roadmap
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Data Masking in the Wake of Big Data Management
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Scriptless Test Automation (STA): The Future of Software Testing
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Customer Service Software in the Age of Modern Business
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Subscription Economy on the Rise: A Business Point of View
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Test Automation – The Turbo Charge for Your Digital Journey
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Test Automation in Agile Product Development
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