Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. It is an essential asset. And it is now a fundamental feature of any successful organization. Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 166

Analytics Machine Learning Deep Learning Data Science 166

Rocket-Powered Data Science

JULY 6, 2023

Anyone who has been watching the AI space this year, even peripherally, will have noticed the flaming hot story of the year—ChatGPT and related chatbot applications. These AI applications are essentially deep machine learning models that are trained on hundreds of gigabytes of text and that can provide detailed, grammatically correct, and “mostly accurate” text responses to user inputs (questions, requests, or queries, which are called prompts).

Statistics 151

Statistics Deep Learning Machine Learning Modeling 151

Rocket-Powered Data Science

JULY 6, 2023

This year, artificial intelligence (AI) has become a major conversation centerpiece at home, in the park, at the gym, at work, everywhere. This is not entirely due to or related to ChatGPT and LLMs (large language models), though those have been the main drivers. The AI conversations, especially in technical circles, have focused intensively on generative AI, the creation of written content, images, videos, marketing copy, software code, speeches, and countless other things.

Strategy 152

Strategy Enterprise Software Marketing 152

Rocket-Powered Data Science

JULY 6, 2023

Artificial intelligence (AI) is top of mind for executives, business leaders, investors, and most workplace employees everywhere. The impacts are expected to be large, deep, and wide across the enterprise, to have both short-term and long-term effects, to have significant potential to be a force both for good and for bad, and to be a continuing concern for all conscientious workers.

Enterprise 183

Enterprise Technology IT Deep Learning 183

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. The insights are used to produce informative content for stakeholders (decision-makers, business users, and clients).

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Rocket-Powered Data Science

FEBRUARY 15, 2023

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Rocket-Powered Data Science

SEPTEMBER 25, 2022

[link]. I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk. For this, I received a complimentary copy of the book and no other compensation. Let us begin….

Diagnostic Analytics 214

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 214

Rocket-Powered Data Science

JUNE 17, 2022

I recently attended the Splunk.conf22 conference. While the event was live in-person in Las Vegas, I attended virtually from my home office. Consequently I missed the incredible in-person experience of the brilliant speakers on the main stage, the technodazzle of 100’s of exhibitors’ offerings in the exhibit arena, and the smooth hip hop sounds from the special guest entertainer — guess who ?

Machine Learning 237

Machine Learning Recreation/Entertainment Risk Business Objectives 237

Rocket-Powered Data Science

SEPTEMBER 20, 2021

What is a semantic layer? That’s a good question, but let’s first explain semantics. The way that I explained it to my data science students years ago was like this. In the early days of web search engines, those engines were primarily keyword search engines. If you knew the right keywords to search and if the content providers also used the same keywords on their website, then you could type the words into your favorite search engine and find the content you needed.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

Rocket-Powered Data Science

SEPTEMBER 2, 2021

(This article is a continuation of my earlier article “ When the Voice of the Customer Actually Talks.”). I recently attended (virtually) CX Summit 2021 , presented by Five9 , which focused on “CX Reimagined.” At first this title for the event seemed a bit grandiose to me – Reimagined! After attending the event, I now think the title was perfect, and it could have gone even further.

Data-driven 130

Data-driven Testing Optimization Analytics 130

Rocket-Powered Data Science

AUGUST 22, 2021

For many years, organizations (mostly consumer-facing) have placed the “voice of the customer” (VoC) high on their priority list of top sources for customer intelligence. The goals of such activities are to improve customer service, customer interactions, customer engagement, and customer experience (CX) through just-in-time customer assistance, personalization, and loyalty-building activities.

Data-driven 277

Data-driven Interactive Behavioral Analytics Machine Learning 277

Rocket-Powered Data Science

JULY 6, 2021

The year 2020 was remarkably different in many ways from previous years. In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. These data-fueled innovations come in the form of new algorithms, new technologies, new applications, new concepts, and even some “old things made new again”.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Rocket-Powered Data Science

JULY 6, 2021

In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. Before we start, I have a few questions for you. What attributes of your organization’s strategies can you attribute to successful outcomes? How long do you deliberate before taking specific deliberate actions?

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Rocket-Powered Data Science

FEBRUARY 12, 2021

When I was growing up, friends at school would occasionally ask me if my older brother and I were twins. We were not, though we looked twin-like! As I grew tired of answering that question, one day I decided to give a more thoughtful answer to the question (beyond a simple “No”). I replied: “Yes, we are twins. We were born 20 months apart!” My response caused the questioner to pause and think about what I said, and perhaps reframe their own thinking.

ROI 233

ROI Digital Transformation Reporting Machine Learning 233

Rocket-Powered Data Science

OCTOBER 16, 2020

Artificial intelligence (AI) has become one of the most significant emerging technologies of the past few years. Some market estimates anticipate that AI will contribute 16 trillion dollars to the global GDP (gross domestic product) by 2030. While there has been accelerating interest in implementing AI as a technology, there has been concurrent growth in interest in implementing successful AI strategies.

Strategy 198

Strategy Insurance Snapshot Digital Transformation 198

Rocket-Powered Data Science

OCTOBER 16, 2020

I recently enjoyed recording a podcast with Joe DosSantos (Chief Data Officer at Qlik ). This was one in a series of #DataBrilliant podcasts by Qlik , which you can also access here and here. I summarize below some of the topics that Joe and I discussed in the podcast. Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Strategy 142

Rocket-Powered Data Science

MAY 20, 2020

I have written articles in many places. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them. Also included are some interviews in which I provided detailed answers to a variety of questions. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter.

Data Science 239

Data Science Big Data Internet of Things Data mining 239

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. Hodler. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Fo

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Rocket-Powered Data Science

MARCH 10, 2020

50 years after the publication of Alvin Toffler ’s landmark book “ Future Shock “, a new book “ After Shock ” is here. This 540-page compendium collects over 100 modern-day perspectives on After Shock from leading futurists, including deep assessments of Toffler’s formidably prescient predictions from half a century ago, along with a status check on the current exponential growth (“shock”) in all sectors of the world economy, from the unique vantage poin

Digital Transformation 248

Digital Transformation Data Collection Big Data Forecasting 248

Rocket-Powered Data Science

MARCH 7, 2020

[Note: this post is a slightly modified version of an earlier post. Although written with light (perhaps weak) humor, this post was created to bring attention to the Benefits of Open Data for innovation, value creation, and digital transformation on Open Data Day.]. Data Innovation is a powerful strategic goal for data-intensive organizations, especially to be celebrated through Data Innovation Day events , whenever they may occur.

Big Data 194

Big Data Digital Transformation Software Management 194

Rocket-Powered Data Science

JULY 7, 2019

Career Relevance. Definitions of terminology frequently seen and used in discussions of emerging digital technologies. (NOTE: This page is a WIP = Work In Progress.). AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Rocket-Powered Data Science

JUNE 28, 2019

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary. Machine Learning Glossary at Google. Glossary of Artificial Intelligence Terms (From A to Z).

Data Science 218

Data Science Machine Learning Big Data Statistics 218

Rocket-Powered Data Science

APRIL 25, 2019

A few years ago, I generated a list of places to receive data science training. That list has become a bit stale. So, I have updated the list, adding some new opportunities, keeping many of the previous ones, and removing the obsolete ones. Here are 30 training opportunities that I encourage you to explore: The Booz Allen Field Guide to Data Science NVIDIA Deep Learning Institute Metis Data Science Training Leada’s online analytics labs Data Science Training by General Assembly Learn Data Scienc

Data Science 38

Data Science Machine Learning Deep Learning Statistics 38

Rocket-Powered Data Science

JULY 30, 2018

Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. The following insightful quote by Dan Olley (EVP of Product Development and CTO at Elsevier) sums up the urgency and criticality of the situation: “If CIOs invested in machine learning three years ago, they would have wasted their money.

Machine Learning 199

Machine Learning Marketing Behavioral Analytics IoT 199

Rocket-Powered Data Science

JULY 30, 2018

Below are the individual links to these Data Science, Artificial Intelligence and Machine Learning books, all of which are top sellers on Amazon… “The Book of Why: The New Science of Cause and Effect” “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems” “Deep Learning (Adaptive Computation and Machine Learning)” “Applied Artificial Intelligence: A Handbook For Business Leaders

Machine Learning 197

Machine Learning Deep Learning Statistics Data Processing 197

Rocket-Powered Data Science

AUGUST 1, 2018

In the early days of the big data era (at the peak of the big data hype), we would often hear about the 3 V’s of big data (Volume, Variety, and Velocity). Then, people started adding more V’s, including Veracity and Value , plus many more! I was guilty of adding several more in my article “ Top 10 Big Data Challenges – A Serious Look at 10 Big Data V’s “ Through the years, I have decided on the following “4 V’s of Big Data” summary in my own presentation

Big Data 104

Big Data Machine Learning Data-driven Data Science 104

Rocket-Powered Data Science

SEPTEMBER 18, 2018

When I was out for a walk recently, I heard a loud low-flying aircraft passing overhead. This was not unusual since we live in the flight path of planes landing at a major international airport about 10 miles from our home. In this case, I thought to myself that the sound seemed more directly overhead and lower than normal as well as being suggestive of a larger than average jet aircraft.

Big Data 103

Big Data Data Science Measurement Data Collection 103

Rocket-Powered Data Science

OCTOBER 17, 2018

My current position is Principal Data Scientist and Executive Advisor at global technology consulting firm Booz Allen Hamilton. In this role, I am frequently asked many questions about the work we are doing, specifically with the U.S. federal government. I always defer those types of questions to open source materials, including articles, press releases, and content published on my company’s website.

Consulting 153

Consulting Publishing Technology 153

Rocket-Powered Data Science

DECEMBER 15, 2018

The ancient philosopher Confucius has been credited with saying “study your past to know your future.” This wisdom applies not only to life but to machine learning also. Specifically, the availability and application of labeled data (things past) for the labeling of previously unseen data (things future) is fundamental to supervised machine learning.

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

Rocket-Powered Data Science

DECEMBER 16, 2018

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. An example of a cold start problem is k -Means Clustering, where the number of clusters k in the data set is not known in advance, and the locations of those clusters in feature space ( i.e., the cluster means) are not known either.

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

Rocket-Powered Data Science

MARCH 19, 2019

We often think of analytics on large scales, particularly in the context of large data sets (“Big Data”). However, there is a growing analytics sector that is focused on the smallest scale. That is the scale of digital sensors — driving us into the new era of sensor analytics. Small scale ( i.e., micro scale) is nothing new in the digital realm.

Big Data 186

Big Data Analytics Machine Learning Internet of Things 186

Rocket-Powered Data Science

MARCH 19, 2019

Diversity in data is one of the three defining characteristics of big data — high data variety — along with high data volume and high velocity. We discussed the power and value of high-variety data in a previous article: “ The Five Important D’s of Big Data Variety ” We won’t repeat those lessons here, but we focus specifically on the bias-busting power of high-variety data, which was actually the last of the five D’s mentioned in the earlier article: Decrease

Big Data 192

Big Data Statistics Manufacturing Data Science 192

Rocket-Powered Data Science

MARCH 19, 2019

We hear a lot of hype that says organizations should be “ Data – first ”, or “AI- first , or “ Data – driven ”, or “ Technology – driven ”. A better prescription for business success is for our organization to be analytics – driven and thus analytics-first , while being data -informed and technology -empowered. Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments!

Analytics 193

Analytics Metrics Data-driven Machine Learning 193