Re-Imagining Reality in the Age of AI
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Big Data – Ponderings of a Practitioner – IV

July 7, 2014February 14, 2026 madhuBig Data

Over the past few weeks, I have been reviewing the big data startup space – looking for companies with key ideas in exploiting big data. During this exercise, I noticed that a number of  start-ups focused on “data cleanup” tools…

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Text analytics – a practitioner’s view – I

July 2, 2014February 14, 2026 madhuNLP and Machine Learning, Text Analytics

After nearly a four month hiatus from blogging, I finally got around to writing up the first in  a series of blogs  on the state of art in text analytics. I have been interacting with various practitioners in both industry…

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“Design” – Some thoughts

February 16, 2014February 14, 2026 madhuDesign

I recently read “Design of Design – Essays from a Computer Scientist” by Fred Brooks of the “Mythical Man Month” fame. The collection of essays attempts to make a larger point about the role of “design” in engineering activity as…

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Big Data – Ponderings of Practitioner – III

December 10, 2013February 14, 2026 madhuBig Data

My earlier posts on this topic have taken a top down view – from model building to implementation. In this post, I attempt to understand the bottom up view of this world – the vendor landscape and tools in this…

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Big Data – Ponderings of a Practitioner – II

December 10, 2013February 14, 2026 madhuBig Data

Continuing the vein of thought outlined in my earlier post on Big Data, the key issue to have in mind before jumping into big data is: Are you collecting/analyzing data to build/improve a theory? or you have a theory that…

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Social Media related R&D problems

November 26, 2013February 14, 2026 madhuBig Data, Social Media

Over the past two years and a half, I have been working closely on social media data from Twitter, FB, Google+ and others. After building and using real world systems that need to scale and having read a number of…

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Big Data – Ponderings of a Practitioner – I

November 9, 2013February 14, 2026 madhuBig Data

Having worn multiple hats related to dealing with data on a near-daily basis through my professional career – data modeling, schema/representation development,  redesign for indexing and query performance, information extraction, feature extraction for machine learning etc. I have been following…

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Chromecast – A quick primer

November 4, 2013February 14, 2026 madhuWeb and Tech trends

Was looking for good mirroring solutions at home and work that works across iOS, Windows and Android.  The toss up was between AppleTV  ($99) versus Chromecast  ($35). Chromecast Setup was painless, download chromecast app for your OS, install appropriate Chrome…

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Exploiting Social Media – Some lessons

October 10, 2013February 14, 2026 madhuSocial Media

The past 12 months have been a major learning experience as I transition from my recent social media startup.  After a hiatus of nearly a year from blogging,  I wanted to summarize some key lessons as I rode the downslide…

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Nearing Half-time in 2012 – Checking on tech trends

June 7, 2012August 4, 2020 madhuWeb and Tech trends

At the beginning of 2012, I’d put a list of potential tech trends. Checking in on them five+ months later, this is what we see: The revenge of the “publishers”: Does not look like publishers have figured anything out yet.…

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Recent Ruminations

  • A generalist or a specialist in the age of AI – what is your bailiwick?
  • Agentic AI – New wine in an old bottle or Old Wine in a new bottle?
  • AI for Business and the Business of AI
  • Are “LLMs” – good models ?
  • On Realizing the Promise of Modern-day AI

Categories

  • AI (5)
  • AI/ML (4)
  • Big Data (6)
  • Computational Advertising (1)
  • Design (2)
  • LLMs (3)
  • NLP and Machine Learning (2)
  • Social Media (2)
  • Startups (2)
  • Text Analytics (1)
  • UI Development (1)
  • Web and Tech trends (3)
  • Workflow Technologies (2)

Essays

  • On Asking the Right Question
  • On Going to Graduate School – Some Reflections and pointers!
  • State – What does it mean in the computational world ?
  • What makes a good thesis problem?
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