Bob Hayes

Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and...

Below is a list of topics, answers and articles in support of a recent Tweet Chat in which I was the guest. The chat (#CXChat) was on customer experience and emerging technologies. I was invited as a guest in a weekly tweet chat that is…

Top Cloud Computing Products and Services Used by Data Scientists

A recent survey revealed that 69% of data pros have used at least one cloud computing product in the last 5 years while 62% of data pros have used at least one cloud computing service in the last 5 years. The most popular cloud computing…

Most Popular Machine Learning Frameworks and Products Used by Data Professionals

A recent survey revealed that 84% of data pros have used at least one ML framework in the last 5 years while 51% of data pros have used at least one ML product in the last 5 years. The most popular ML frameworks include Scikit-Learn,…

Usage-Driven Groupings of Data Science and Machine Learning Programming Languages

Analysis of usage patterns of 16 data science programming languages by over 18,000 data professionals showed that programming languages can be grouped into a smaller set (specifically, 5 groupings). That is, some programming languages tend to be used t...

Programming Languages Most Used and Recommended by Data Scientists

The practice of data science requires the use of analytics tools, technologies and programming languages to help data professionals extract insights and value from data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python...

How Data Integration and Machine Learning Improve Retention Marketing

Retention marketing is about preventing your valuable customers from churning. Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you ...

Data Science and the Quest for Truth

I was interviewed by IBM to share my thoughts on a topic related to data science about which I’m passionate: How do we know what we know and, once we know it, how do we know it’s the truth? IBM turned that interview into a comic…

Customer Success Executives Need to Answer These Three 3 Critical Questions

In today’s subscription-based economy, customers are no longer trapped in long-term contracts; instead, they are able to jump to competitors easily when they become dissatisfied with their current vendor. Consequently, many subscription-based and SaaS ...

4 Reasons Why Customer Retention Matters to Your Customer Acquisition Efforts

Business growth depends on acquiring new customers and keeping them around for a long time. Yet businesses are over 2x more likely to focus on acquisition efforts than they are retention efforts. In today’s post, I want to discuss why busines...

Salaries of Data Scientists and Machine Learning Engineers From Around the World

Annual salaries for data scientists and machine learning engineers vary significantly across the world. Based on a 2017 Kaggle survey of data professionals, countries with the highest paid data scientists and machine learning engineers (in USD) were: U...

Top 5 Paying Data Science and Machine Learning Jobs in the US

A recent survey by Kaggle revealed that the annual median compensation (salary + bonus) of data professionals in the US was $118K. US data professionals who self-identified as machine learning engineers, software developers and data scientists had the ...

My Highlights from IBM Think 2018: Data Science, SPSS, Augmented Reality and the Customer...

I attended IBM’s inaugural Think event in Las Vegas last week. This event, IBM’s largest (estimated 30,000+ attendees!), focused on making your business smarter and included keynotes and sessions on such topics as artificial intelligence, data science...

Top 10 Challenges to Practicing Data Science at Work

A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%), lack of data science talent (30%) and lack of management support (27%). Also, data professionals reported expe...

Data Days Video Series: What is Data Science?

I like sharing my knowledge about the power of data and analytics. This knowledge can can help business leaders and citizens understand how the world works, improving how they manage their business and make better decisions to improve their personal li...

Top 10 Platforms and Resources to Learn Data Science Skills

A recent survey of over 16,000 data professionals showed that the most used platforms/resources included Kaggle, Online courses and Stack Overflow Q&A. Additionally, the most useful platforms/resources included Personal Projects, Online courses and...

A Majority of Data Scientists Lack Competency in Advanced Machine Learning Areas and Techniques

Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by Kaggle, however, revealed that a limited number of data professionals possess competency in advanced machine learning sk...

Machine Learning Engineers and Data Scientists Report Highest Job Satisfaction Among Data Professionals

Results from the Kaggle State of Data Science and Machine Learning survey of data professionals revealed that job satisfaction varies widely across job titles. Data professionals who reported the highest level of job satisfaction were: 1) Machine Learn...

Top Machine Learning and Data Science Methods Used at Work

The practice of data science requires the use algorithms and data science methods to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals used data visualization, logistic regression, ...

Which Data Science Tools are Used Together?

Analysis of usage of 48 data science tools by over 10,000 data professionals showed that data science tools could be grouped into a smaller set (specifically, 14 tool groupings). That is, some data science tools tend to be used together apart from othe...

Most Used Data Science Tools and Technologies in 2017 and What to Expect for...

The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more th...

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