Traditional programmers hit a stone-wall when they start working on Machine Learning (ML) development projects. They were used to coding based on design derived from requirements, logic/rules and when they move into a new paradigm in which rules are automatically generated from data, they are surprised. In ML paradigm, we do not find any output code and we see an output in the form of a binary object called model that goes into production. You may be wondering without measuring lines of code,… Continue

Summary:  99% of our application of NLP has to do with chatbots or translation.  This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels.  The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers.

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Summary:  Communicating with your Board of Directors about AI/ML is different from conversations with top operating executive.  It’s increasingly likely your Board will want to know more and planning that communication in advance will make your presentation more successful.

 

As AI/ML becomes increasingly…

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The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.

What is Augmented…

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Players in ecommerce, entertainment, finance, Internet and social media space drive and influence risk indicators for not just for themselves but for users of Internet and increasingly to larger society as side effects spread to social, political and economic scenarios. Any risks from above domains are dominant and may easily be extrapolated in domains too.

There are five risks that may influence society negatively and turn in to resistance force for adoption of digital…

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Blockchain, which is a form of a decentralized digital ledger technology, has gained enormous attention in the recent years, precisely, since 2004. In fact, it has disrupted how major industries operate both locally and internationally.

Blockchain and security,…

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I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…

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Summary: Now that we’ve detailed the four main AI-first strategies:  Data Dominance, Vertical, Horizontal, and Systems of Intelligence, it’s time to pick.  Here we provide side-by-side comparison and our opinion on the winner(s) for your own AI-first startup.

 

In our last several articles we’ve taken a tour of the four major…

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Summary:  The fourth and final AI strategy we’ll review is Systems of Intelligence (SOI).  This is getting nearly as much attention as the Vertical strategy we previously reviewed.  It’s appealing because it seems to offer the financial advantages of a Horizontal strategy but its ability to create a defensible moat requires some fine tuning.

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The global industrial Internet of things market delivers a complete analysis of industrial connected devices and machines used for various applications by end-users depending upon their uses. The report offers an in-depth study of the market drivers, restraints, and growth opportunities. With the help of these factors, the analysts have identified various trends prominent in the industry which are anticipated to influence the market growth during the forecast period. It includes a complete…

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Recently 2017 came to a glittering end and as we look back through the lens of technology, the winner was probably Artificial Intelligence aka AI. It received tremendous success as much as some of the industry leaders commented that 2017 was the ‘Year of AI’. This write-up is an attempt to collate the achievements under the academic and industry.

Academics

Starting off with academics, the sheer volume of papers published is increasing every year. To give you some statistics,…

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The concepts of p-value and level of significance are vital components of hypothesis testing and advanced methods like regression. However, they can be a little tricky to understand, especially for beginners and good understanding of these concepts can go a long way in understanding advanced concepts in statistics and econometrics. Here, we try to simplify the concept in an easy, logical manner. Hope this helps.

P-value

In hypothesis testing, we set…

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