AWS Big Data

SEPTEMBER 22, 2023

Stitch Fix is a personalized clothing styling service for men, women, and kids. Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform. This post is co-written with Karthik Kondamudi and Jenny Thompson from Stitch Fix.

Management 101

Management Metrics Cost-Benefit Data Lake 101

Sisense

APRIL 13, 2020

In Navigating Change in Crisis, we explore how individuals and companies are adapting to a “new normal” to keep essential services functioning. If Farrow ever wants to give up his journalism career, he can fall back on writing thrillers any time.”. These insights aim to help you and your team navigate these unprecedented times.

Uncertainty 83

Uncertainty Marketing Digital Transformation Forecasting 83

Insight

MARCH 4, 2020

a video game digital distribution service. In this blog, I’ll describe how to solve this with Contextual Topic Identification, leveraging machine learning methods to identify semantically similar groups and surface relevant category tags of the reviews. Are you interested in transitioning to a career in tech?

Visualization 81

Visualization Modeling Metrics Measurement 81

Sisense

SEPTEMBER 3, 2020

If you are looking to start or transition to a career dealing with data, there are several possible data job titles you may want to include in your searches, such as Data Scientist, Data Analyst, Business Analyst, and Data Specialist. We live in a constantly-evolving world of data.

Statistics 97

Statistics Metrics Visualization Finance 97

Sisense

MARCH 23, 2020

Providing users with these capabilities, coupled with smarter and more efficient data modeling, means that BI and Analytics teams play a more prominent role than ever in enabling their organizations to generate new value and new revenue for their customers with analytics products and services. Money never sleeps and neither does your data.

Analytics 64

Analytics Data-driven Consulting Marketing 64

Insight

MARCH 25, 2020

In this blog, I will share how I built Pair , a scalable web application that takes in a product image, analyzes its design features using convolutional neural network, and recommends products in other categories with similar style elements. Multiple such index libraries are generated for different furniture categories.

Deep Learning 53

Deep Learning Metrics Data Processing Interactive 53

Insight

AUGUST 12, 2019

How to prepare for your DevOps interview Over the past decade, DevOps has emerged as a new tech culture and career that marries the rapid iteration desired by software development with the rock-solid stability of the infrastructure operations team. For a good overview of what DevOps entails and how to transition, check out this blog post.

Software 65

Software Data-driven Testing Interactive 65

Domino Data Lab

MAY 1, 2019

I attended the machine learning meetup and reached out to Mawer for the permissions to excerpt Mawer’s work for this blog post. The questions and insights we gather and ingest from actively listening to industry helps inform our platform, products, and services. Why is reproducibility so hard? test_size: 0.25 validate_size: 0.25

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

Sisense

OCTOBER 6, 2020

This means it describes the characteristics or qualities of data units, such as “what type,” “which category,” “who” (or “which persona”). Adam Murray began his career in corporate communications and public relations in London and New York before moving to Tel Aviv. Often, the information in qualitative data is a categorical variable.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Depict Data Studio

APRIL 16, 2019

18-year-olds have a slim understanding of all the career paths available–or the brand new career paths that they can blaze for themselves, as I’ve been doing. You have an opportunity to be of service to others and think about the data that others would find most valuable in their data-informed decision making processes.

Visualization 56

Visualization Reporting Statistics Dashboards 56

Occam's Razor

MARCH 30, 2017

Primarily because we got our first real everyday access to products and services that used some form of AI to delight us. See, why it freaked me out that I might not have a career? Perhaps you now see why I’ve pivoted my career to Storytelling with data over the last couple of years. :). No more theory, we felt it!

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Occam's Razor

OCTOBER 10, 2011

Oh, I totally forgot to say this… the advice in this blog post is only for businesses and brands that participate in social media. If you don't fall into those two categories then this social media measurement framework might not apply to you. On a blog, YouTube: Amplification = # of Share Clicks Per Post (or Video).

Metrics 165

Metrics Measurement Advertising Key Performance Indicator 165

Occam's Razor

APRIL 15, 2019

When you do that much stuff, and you can measure almost everything… The result is that our ecosystem of data people are returning a lot more negative data when measuring performance of Marketing, Sales, User Experience and Customer Service. There is no hope for your career (or emotional positivity).

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Sisense

SEPTEMBER 25, 2020

No matter your skill, career level, or title, the ability to analyze, organize, and visualize data are vital skills in our world of quickly growing and ever-changing data. As datasets become bigger and more complex, only AI, materialized views, and more sophisticated coding languages will be able to glean insights from them.

Statistics 98

Statistics Modeling Predictive Modeling Machine Learning 98

Occam's Razor

OCTOBER 19, 2010

I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), My goal is to give you a list of tools that I use in my everyday life as a practitioner (you'll see many of them implemented on this blog). Disclosure].

Analytics 135

Analytics Testing Measurement Optimization 135

Domino Data Lab

JANUARY 6, 2019

And my favorite topic: what are some of the best books, blogs, podcasts, etc., They were making big sacrifices to invest in upskilling for significant changes in their careers. In high tech and financial services, respondents are also much likelier to report retraining or upskilling. for beginning study in data science?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Occam's Razor

FEBRUARY 26, 2008

Yes that does sound like career suicide. Our company "owned" a category term. There were only two companies essentially competing and this was the Category key term. Both examples above from www.compete.com a service with a ton of free competitive intelligence, and really really affordable deep search CI data.

Management 68

Management Experimentation Testing Strategy 68

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. It may be that for people in the former category, if they don’t level up to it, well, there are some good construction jobs. The thing is that they have learned about Six Sigma , they’ve built their careers on it. Session Summary.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

JULY 7, 2023

They’re often tasked with developing new products or services, problem-solving, or creating strategies and action plans that will drive better business outcomes. From HR to procurement to customer service, IBM Watson solutions are augmenting work to improve customer care and boost knowledge worker engagement and productivity.

Cost-Benefit 69

Cost-Benefit Consulting Management Data-driven 69