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Redefining Software Success through AI-Enabled Quality Engineering

By Innominds In Quality Engineering Posted

In today's fast paced digital market, a company's ability to design software that offers customer satisfaction and delight in a timely and dependable manner is essential to its success. Nevertheless, a lot of businesses view quality assurance more as a standard element without realizing it can offer competitive edge.

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Enhancing Business Workflows with LLM-Powered AI Agents

By Durga Prasad Moganty In AI Agent Posted

Disclaimer : This article was originally published in CXOtoday As enterprises vie for increased efficiency, productivity, large language models (LLMs) are revolutionizing workflow automation. AI agents, powered by advanced LLMs, surpass traditional rule-based automation by understanding natural language, making data-driven decisions, and reducing manual effort. Advancements in generative AI and

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Adopting AI in SDLC: Unlocking Speed, Quality, and Strategic Focus

By Durga Prasad Moganty In Cloud Posted

What the $8 Billion Deal Really Means for Enterprise Customers, Service Owners, and End Users

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Beyond the Headlines: How Salesforce's Informatica Acquisition Will Transform Your Daily Operations

By Saketh Gargeya Katakam In Cloud Posted

What the $8 Billion Deal Really Means for Enterprise Customers, Service Owners, and End Users

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Customer-Centric Data Operations in Action: How DataOps is Transforming Modern Enterprises

By Innominds In DevOps Posted

In today’s digital world, enterprises generate data at an fast rate. According to IDC, global data creation is projected to reach 180 zettabytes by 2025, up from 64.2 zettabytes in 2020. Yet, many business leaders say they struggle to turn their data into meaningful insights due to fragmented systems and poor data pipeline health.

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AI-Led Quality Engineering: Embedding Quality by Design from the Ground Up

By Dharma Sagar Pathaneni In Quality Engineering Posted

As software development accelerates, traditional Quality Engineering (QE) methods are evolving—driven by the transformative power of Artificial Intelligence (AI). AI-led QE redefines how organizations ensure software quality by shifting the focus from reactive testing to proactive, predictive, and continuous quality assurance. At the heart of this evolution is Quality by Design (QbD)—a principle

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The New Era of Digital Patient Engagement: Personalized, Scalable, and Compliance-Ready

By Innominds

As healthcare undergoes rapid digital transformation, patient expectations are evolving just as quickly. Traditional engagement models can no longer meet the growing demand for personalized, convenient, and seamless experiences. To remain competitive, healthcare providers, pharmaceutical firms, and MedTech companies must reimagine engagement strategies that drive outcomes, ensure regulatory

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FinOps: The Missing Link in Cloud Cost Management

By Ananda Rao Vemula In Cloud Posted

In today’s cloud-native enterprise landscape, agility and scalability are essential. Cloud computing empowers organizations to innovate rapidly and expand on demand—but this flexibility comes at a cost. Cloud expenses can surge unpredictably, turning innovation into budget uncertainty.

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From Awareness to Adherence: How Technology is Powering Patient-Centric Healthcare Transformation

By Innominds In Healthcare Posted

In today’s healthcare landscape, innovation is no longer confined to developing breakthrough drugs or devices. The real differentiator lies in how effectively healthcare providers and life sciences organizations engage patients throughout their care journey—right from initial awareness to long-term adherence. Adherence is not just a patient issue; it’s a strategic healthcare imperative that

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Beyond the Pill: How AI-Powered Patient Engagement is Transforming Pharma & MedTech

By Innominds In medtech Posted

In today’s rapidly evolving healthcare landscape, Pharma and MedTech companies are undergoing unprecedented transformation. Yet, patient care often remains confined to prescriptions and procedures. As the industry shifts toward value-based, patient-centered models, a critical challenge remains traditional engagement strategies falling short in addressing patient non-compliance.

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