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Srividya Kannan Ramachandran's Blog (12)

Can computers think? An epistemology for Artificial Intelligence

As AI enters our homes through smart home devices or tries to conquer our streets through self-driving cars, one need not be a Luddite to contemplate the potentially heavy implications of AI upon our daily lives and livelihood. The key to answering the question and indeed to understand the ultimate limits of AI is to ask if machines can really think. In this article, I list three tests drawn from three different disciplines to address that…

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Added by Srividya Kannan Ramachandran on January 20, 2017 at 12:02pm — No Comments

Charting a Mandate for a Chief Data Scientist

The profusion of big data alongside helpful nudges from Wall Street has inspired many companies to create Chief Data Officer(CDO) and Chief Data Scientist(CDS) roles. The mandate for these roles remains inchoate much in tune with the incipient nature of application of machine learning and predictive analytics within a large corporate structure.

In a previous post, I had introduced a new paradigm – the…

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Added by Srividya Kannan Ramachandran on January 4, 2017 at 6:00pm — No Comments

ALDI – A New Paradigm for Integrating Marketing Analytics with Data Science

Owing to the data deluge and the Cambrian explosion of machine learning techniques over the past decade, one might have expected the transformation of marketing strategy into a predominantly quantitative discipline by now. The fact that it hasn’t happened yet, and the observation that marketing is still influenced by a lot of qualitative inputs can be ascribed to two reasons, in my opinion. The first and principal reason continues to be institutional inertia. Second, there is a…

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Added by Srividya Kannan Ramachandran on December 21, 2016 at 3:00pm — No Comments

Machine Learning is dead – Long live machine learning!

You may be thinking that this title makes no sense at all. ML, AI, ANN and Deep learning have made it into the everyday lexicon and here I am, proclaiming that ML is dead. Well, here is what I mean…

The open sourcing of entire ML frameworks marks the end of a phase of rapid development of tools, and thus marks the death of ML as we have known it so far. The next phase will be marked with ubiquitous application of these tools into software applications. And that is how ML…

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Added by Srividya Kannan Ramachandran on May 31, 2016 at 8:00am — No Comments

Data Science & Technology Monthly: Feb 2016

In the last post, we talked about how the open sourcing of machine learning algorithms and hardware architecture gives rise to the latest phenomenon of “Data is king”. As companies compete to get developers to use their libraries, we continue to see this ongoing arms race like trend in open sourcing. In addition, we are also seeing how complicated the big data landscape is becoming. This is the link to the most recent …

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Added by Srividya Kannan Ramachandran on February 15, 2016 at 4:00am — No Comments

Data Science and Technology Monthly - December 2015

A whole bunch of incredible things have happened in Machine Learning and Artificial Intelligence since November.

1. Google Open-Sources TensorFlow

In November, Google open-sourced their machine learning technologycalled TensorFlow that powers a bunch of their products like Google Photos…

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Added by Srividya Kannan Ramachandran on December 30, 2015 at 5:53pm — No Comments

2016 Trends in Big Data & Network Security

I attended the Carrier Network Security Strategies conference ( #CNSS2015)held by Light Reading in NYC on Dec 2. I also attended the New Jersey Tech Council’s Data Summit (#NJTechCouncil) on Dec 9. The main topics of discussion in the conference were around securing the perimeter of networks and protecting customer, carrier and network data. Here is brief summary of what I learned in these two conferences about managing and operating networks securely and protecting…

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Added by Srividya Kannan Ramachandran on December 14, 2015 at 8:00am — No Comments

Data Science and Technology Monthly - October 2015

Hello and Welcome to October! This series is my attempt to start cataloging all the interesting articles, industry reports, whitepapers, and news that I read every month, related to technology and data science.

1. Warm Ups

The relentless march of technology into our lives is always very fascinating. This video (Evolution of the Desk) by BestReviews made me very nostalgic…

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Added by Srividya Kannan Ramachandran on October 26, 2015 at 9:00am — No Comments

Data Science and Technology Monthly - September 2015

Hello and Welcome back!

This series is my attempt to start cataloging all the interesting articles, industry reports, whitepapers, and news that I read every month, related to technology and data science. We are at Month 3 already.

1. Robots taking over?

Check out this article in the Financial Times written by the co-founder of Swiftkey. He says

“…

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Added by Srividya Kannan Ramachandran on September 26, 2015 at 6:47am — No Comments

Data Science and Technology Monthly - August 2015

Hello and Welcome back!

This series is my attempt to start cataloging all the interesting articles, industry reports, whitepapers, and news that I read every month, related to technology and data science. We are at Month 2 and let us dig right in -

1. Network Effects, Digital Avatars and Advertising

This essay titled "…

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Added by Srividya Kannan Ramachandran on August 17, 2015 at 5:30am — No Comments

Data Science and Technology Monthly - July 2015

Hello and Welcome!

This is my attempt to start cataloging all the interesting articles, industry reports, whitepapers, and news that I read every month, related to technology and data science. There are tons of material published everyday. Of course, I can't read them all because I am human! But I want to share everything that I found to be…

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Added by Srividya Kannan Ramachandran on July 27, 2015 at 7:33am — 1 Comment

Origin of Techniques used in Data Science

To get a cohesive view of “data science”, it is useful to trace the origins of tools and techniques used by its current practitioners. These techniques have primarily emerged out of the following four fields:

  1. Statistics
  2. Electrical…
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Added by Srividya Kannan Ramachandran on July 15, 2015 at 6:45am — 9 Comments

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