Ashin Antony

Ashin brings to Ignitho two decades of technology leadership experience and was with Mindtree for close to a decade playing key tech leadership roles. His areas of specialization include Big Data, Cloud and Emerging Technologies; with expertise in designing and implementing digital enterprise solutions. Ashin is driving Ignitho’s Data, Cloud and Digital Engineering areas. He is also a business partner and is part of the core leadership team at Nuivio Ventures, Ignitho’s parent company.

Intelligent Data Accelerator (IDA)

Using AI to Enhance Data Engineering and ETL

As data analytics becomes highly important to improve enterprise business performance, data aggregation (from across the enterprise and from outside sources) and adequate preparation of this data stand as critical phases within the analytics lifecycle.   An astonishing 40-60% of the overall effort in an enterprise is dedicated to these foundational processes.   It is here that …

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what is microsoft fabric

What is Microsoft Fabric and Why Should You Care

In the fast-paced world of business, enterprises have long grappled with the challenge of weaving together diverse tools and technologies for tasks like business intelligence (BI), data science, and data warehousing.   This much needed plumbing often results in increased overheads, inefficiencies, and siloed operations.   Recognizing this struggle, Microsoft is gearing up to launch the Microsoft …

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The Intersection of CDP and AI

The Intersection of CDP and AI: Revolutionizing Customer Data Platforms

We recently published a thought leadership piece on DZone, and are excited to provide you with a concise overview of the article’s key insights. Titled “The Intersection of CDP and AI: How Artificial Intelligence Is Revolutionizing Customer Data Platforms”, our blog explores the use of AI in CDP and offers valuable perspectives on How AI-driven …

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Intelligent Quality Accelerator: Enhancing Software QA with AI

Intelligent Quality Accelerator: Enhancing Software QA with AI

AI is not just transforming software development, but it is also profoundly changing the realm of Quality Assurance (QA).   Embracing AI in QA promises improved productivity and shorter time-to-market for software products.   In this blog I’ll outline some important use cases and outline some key challenges in adoption. We have also developed an AI enabled …

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Generative AI in MS Power BI

Harnessing the Power of Generative AI inside MS Power BI

Data is everywhere, and understanding it is crucial for making informed decisions. Microsoft Power BI is a powerful tool that helps businesses transform raw data into meaningful insights.   Now, generative AI capabilities are coming to MS Power BI soon! Watch this preview video    Imagine a world where you can effortlessly create reports and charts …

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Google Analytics Integration with Customer Data Platform (CDP

Integrating Google Analytics with Your Customer Data Platform (CDP)

In this post, we’ll explain how you can and should integrate information from Google Analytics and access rich customer analytics from your Customer Data Platform (CDP).  What are the benefits of GA4?  The new Google Analytics 4 (GA4) is an improved tool that helps businesses understand their website and customer data better.   GA4 brings advanced …

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Role of AI in Unlocking the Full Potential of Customer Data Platforms

Role of AI in Unlocking the Full Potential of Customer Data Platform

Customer Data Platforms (CDPs) have become integral to modern businesses, empowering them to collect, analyze, and utilize customer data effectively. However the, integration of artificial intelligence (AI) has emerged as a game-changer to fully unlock the potential of CDPs. By leveraging AI, we can extract invaluable insights from vast amounts of customer data to enable personalized marketing …

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conceptual architecture of customer data platform

How to Conceptually Think of a Customer Data Platform (CDP)

A customer data platform (CDP) is vital for businesses today. It brings together many dimensions of customer information so that a 360-degree understanding of a customer can be created and enriched with information from multiple sources. The final aim is to generate insights and AI models that can be used to drive better customer experiences, …

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Integrating Data for Your Customer Data Platform with Domo

In my last post I outlined a 5-layer conceptual architecture for your Customer Data Platform (CDP). I reiterated that a CDP program should be viewed as a way to achieve closed-loop analytics for your enterprise, not just a centralized data store. In this blog, I’ll outline the core foundation of all Customer Data Platforms – a …

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