AWS Big Data

JULY 16, 2024

Develop log and trace analytics solutions with interactive queries and visualize results with high adaptability and speed. Zurich has done testing with Amazon SageMaker and has plans to add this capability in the near future. Eventually, Zurich plans to use ML plugins such as anomaly detection to enhance analysis.

Insurance 130

Insurance Management Cost-Benefit Optimization 130

IBM Big Data Hub

MARCH 25, 2022

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

Data-driven 69

Data-driven Data Warehouse Data Processing Marketing 69

DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. This may be accomplished through a wide variety of tests, to develop a deeper introspection into how the model behaves.

Risk 52

Risk Modeling Metrics Business Objectives 52

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

APRIL 3, 2019

That resulted in server farms, collecting volumes of log data from customer interactions, data which was then aggregated and fed into machine learning algorithms which created data products as pre-computed results, which in turn made web apps smarter and enhanced e-commerce revenue. Instead, they refactored their monolithic web apps (e.g.,

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

CIO Business Intelligence

APRIL 9, 2025

2011 Turing Award winner Judea Pearls landmark work The Book of Why (2020) explains it well when he states that correlation is not causation and you are smarter than your data. These conversational systems of interaction with data provide the context to answer questions based not only on what is being asked but by whom.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Occam's Razor

SEPTEMBER 13, 2016

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. If these 50 pass the sniff test, send the survey. Don't repeat things for years without constantly stress-testing for reality. Take 10 mins each. Else, know that your survey stinks. You lose twice.

Modeling 128

Modeling Reporting Strategy Consulting 128

Domino Data Lab

JULY 9, 2019

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Occam's Razor

SEPTEMBER 24, 2012

It is possible to get good test and control groups (type of population, existing brand awareness, market penetration, competitive structures) for our experiments. Virality is also really interesting (again, actual human interaction), people who "create a story from your post" (share etc). . :).

Advertising 165

Advertising Metrics ROI Marketing 165