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From Strategy to Implementation – Planning an AI-First Company

Summary:  Our recent series of articles on AI strategies shows the options available for the strategic direction of your AI-first company.  Here are some thoughts on moving from strategy to implementation, including some useful tools to help in planning.

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Added by William Vorhies on August 7, 2018 at 7:25am — 1 Comment

Can you be a Data Scientist without coding?

Whether you can call yourself a data scientist if you can't code is as hotly debated as Brexit. Type the question "Can you be a Data Scientist without coding?" into Google and you'll get a hundred different answers. The opinion will vary wildly depending on whether the author is a coder, or a non-coder. Search the job listings, and you won't find a definitive answer there either. A Glassdoor survey on the …

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Added by Stephanie Glen on February 23, 2019 at 10:30am — 2 Comments

Data Science Central Thursday Digest, March 21

You will find here our selection of featured articles and resources posted since Monday. 

Resources and Tutorials

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Added by Vincent Granville on March 21, 2019 at 10:00am — No Comments

Training for Context: The Importance of Word2Vec

We’ve all experienced the great data rush as companies push to use analytics to drive business decisions. After all, the proliferation of data and its intelligent analysis can change entire company trajectories. But to make the quintillions of data created each day truly useful, as well as all that has come before, it must be understandable to an artificial intelligence (AI) system.

 

Dealing with numbers is one thing, but human language is…

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Added by Rosaria Silipo on March 18, 2019 at 7:41am — No Comments

How Salesforce Lightning can Empower Your Business

For the last 16 years, Salesforce has a consistent look and feel.  In 2015, Salesforce launched its new platform, known as Salesforce Lightning. However, Salesforce users have been consistently using Salesforce classic and are much more comfortable with its user interface. Through its Lightning version, Salesforce has launched a new interface that is capable to increase organizational productivity and help in their faster deployment and seamless transition across all devices.

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Added by William Hills on March 19, 2019 at 4:00am — No Comments

Bias Variance Trade Off

Deep Learning is a highly empirical domain which majorly focusses on fine-tuning the various parameters. The choice of these parameters defines the accuracy of the model. So, it becomes important to choose such parameters wisely. Choosing the parameters based on intuition might not work every time which can degrade the performance of the model drastically. Also, a considerable amount of time and effort will go in vain while selecting the values of parameters based…

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Added by Divya Singh on March 18, 2019 at 8:30pm — No Comments

Top 8 Data Science Use Cases in Manufacturing

The manufacturing business faces huge transformations nowadays. Due to rapid development of digital world and broad application of data science, various fields of human activity seek improvement. Modern manufacturing is often referred to as industry 4.0 that is the manufacturing under conditions of the fourth industrial…

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Added by Igor Bobriakov on March 18, 2019 at 9:08am — No Comments

Can Lack of Data Always Provide Valuable Insights?

Can Lack of Data Always Provide Valuable Insights?

Prashanth H Southekal and Matthew Joyce

 

Today, data – both structured and unstructured, is seen as the most valuable business asset to solve problems and improve productivity.  An article in Forbes says every company today is a data company! However, we…

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Added by Prashanth Southekal, PhD on March 18, 2019 at 3:30am — No Comments

Comparing the Four Major AI Strategies

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…

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Added by William Vorhies on July 31, 2018 at 8:20am — No Comments

Data Science Central Weekly Digest, March 18

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Featured Resources and Technical…

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Added by Vincent Granville on March 17, 2019 at 7:30am — No Comments

Demystifying the Math of Support Vector Machines (SVM)

This article was written by Krishna Kumar Mahto.

 So, three days into SVM, I was 40% frustrated, 30% restless, 20% irritated and 100% inefficient in terms of getting my work done. I was stuck with the Maths part of Support Vector Machine. I went through a number of YouTube videos, a number of documents, PPTs and PDFs of lecture notes, but…

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Added by Andrea Manero-Bastin on March 14, 2019 at 6:30am — No Comments

In Digital Transformation, Economies of Learning More Powerful than Economies of Scale

Key topics of this blog:

  • Economies of scalehave historically given large enterprises unsurmountable market advantages through the exploitation of mass production, distribution and marketing.
  • In Digital Transformation, “Economies of Learning”are more powerful than “Economies of Scale” because of the ability to learn and deploy those learnings within digital assets faster.
  • Classic ERP “Big…
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Added by Bill Schmarzo on March 15, 2019 at 5:04am — No Comments

Top 5 Reasons to Move Enterprise Data Science Off the Laptop and to the Cloud

We live in a world that is inundated with data. Data science and machine learning (ML) techniques have come to the rescue in helping enterprises analyze and make sense of these large volumes of data. Enterprises have hired data scientists — people who apply scientific methods to data to build mathematical software models — to generate insights or predictions that…

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Added by Abdul Matheen Raza on March 12, 2019 at 12:00pm — No Comments

Opening the black box of offline marketing with data analytics

Offline marketing is far from dead

The marketing communication industry has three main players: the brand, the agency and the media owner. The agency, who is typically the middle-man, has the most visibility in attribution and…

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Added by Pedro URIA RECIO on March 17, 2019 at 1:34am — No Comments

IMPACT - Part 2: Be a problem solver first, an engineer second.

This is part 2 of a 3 part series: “How to make your mark on the world as a talented, socially conscious data scientist.” 

You can find part 1 here: “Choose a domain which enables you to create…

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Added by Marshall Lincoln on March 14, 2019 at 10:30pm — 1 Comment

What is Augmented Data Science and Why is it Important to My Business?

If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Science, the average business user can engage with advanced analytics tools that allow for automated machine learning (AutoML) and leverage sophisticated analytical techniques and algorithms in a guided environment that uses auto-recommendations and suggestions to lead users through the complex world of data…

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Added by Kartik Patel on March 11, 2019 at 12:52am — No Comments

A Beginner’s Guide to Big Data and Blockchain

Introduction

Over the last few years, blockchain has been one of the hottest areas of technology development across industries. It’s easy to see why. There seems to be no end to the myriad ways that forward-thinking businesses are finding. Furthermore, they are doing this to adapt the technology to suit a variety of use cases and applications. Much of the development, however, has come in one of two places. One is deep-pocket corporations…

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Added by Divya Singh on March 14, 2019 at 8:30pm — No Comments

MATLAB for Data Science

Introduction

With the growth of Data science in recent years, we have seen a growth in the development of the tools for it. R and Python have been steady languages used by people worldwide. But before R and Python, there was only one key player and it was MATLAB. MATLAB is still in usage in most of the academics areas and mostly all the researchers throughout the world use MATLAB.

In this blog, we will look at…

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Added by Divya Singh on March 14, 2019 at 12:00pm — No Comments

New word for Data Science - Signuology

I propose a new word for data science for sparking new thinking. Signuology is defined as the study of sets of characteristic predictive signals contained within data in the form of combined features of the data that are characteristic of an observation of interest within the data.

The terms data mining and data structure imply rigid and discrete characteristics. A signal has more flexibility, borrowing from ideas contained in the superposition principle in physics. One can take the…

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Added by Steve Bowling on March 15, 2019 at 6:11am — No Comments

15 Great Articles about Bayesian Methods and Networks

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Added by Vincent Granville on March 15, 2019 at 6:30am — No Comments

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