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 businesses need to increase their focus on customer retention efforts and why the are imperative to your […]
Tag Archives | machine learning
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: US ($120K), Australia ($111K), Israel ($88K), Canada ($81K) and Germany ($80K). Countries with the lowest annual salaries were: […]
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 highest annual compensation at $128K, $120K and $120K, respectively. Data professionals who self-identified as data scientists reported […]
My Highlights from IBM Think 2018: Data Science, SPSS, Augmented Reality and the Customer Experience
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, blockchain, quantum computing and cryptography. I was invited by IBM as a guest to share some insights from […]
Using Predictive Analytics and Artificial Intelligence to Improve Customer Loyalty
As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand. Predictive analytics and artificial intelligence capabilities provide a way to extract insights from that data to help you improve the customer experience and optimize customer loyalty. Artificial Intelligence and Predictive Analytics […]
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 experiencing around three challenges in the previous year. A principal component analysis of the 20 challenges studied showed that challenges […]
Favorite Data Science and Machine Learning Blogs, Podcasts and Newsletters
Over 16,000 data professionals were asked to indicate their favorite data science blogs, podcasts and newsletters. The top two favorite blogs were KDNuggets and R Bloggers. The top two podcasts were Becoming a Data Scientist and The Data Skeptic. The top two newsletters were O’Reilly Data and Data Elixir. Data professionals use a variety of […]
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 Stack Overflow Q&A. On average, data pros used around three (3) different platforms/resources to learn data science skills. There are many ways […]