IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. These models and proprietary data will be hosted within a secure IBM Cloud® environment, specifically designed to meet regulatory industry compliance requirements for hyperscalers.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

CDW Research Hub

AUGUST 19, 2019

This includes fulfillment providers, CDN, networking and infrastructure, hosting providers (as applicable), security team leadership, payment processors, media asset delivery providers, call centers, monitoring teams, application support teams, application vendor and product teams, marketing and merchandising teams, etc.

Testing 49

Testing Optimization Data Processing Strategy 49

Domino Data Lab

JULY 10, 2019

This blog also provides code examples with a Jupyter notebook that you can download or run via hosting provided by Domino. Beginning their analytical strategy with a data type abstraction allowed the Uber engineering team to better integrate deep learning best practices for model training, validation, testing and deployment.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. Also known as data validation, integrity refers to the structural testing of data to ensure that the data complies with procedures. Your Chance: Want to test a professional analytics software?

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

AWS Big Data

MARCH 13, 2024

With optimized configuration, it aims for high recall for the queries. Ray cluster for ingestion and creating vector embeddings In our testing, we found that the GPUs make the biggest impact to performance when creating the embeddings. OpenSearch Service supports ANN as well as exact k-NN search. zst`; do zstd -d $F; done rm *.zst

Data Processing 114

Data Processing Dashboards Machine Learning Management 114

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices?

KPI 221

KPI Management Key Performance Indicator Measurement 221

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. Here, day-of-week is a time-based confounder.

Experimentation 95

Experimentation Statistics Testing Strategy 95

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities. Choose Test connection to verify that AWS SCT can connect to your source Azure Synapse project. Choose Test connection to verify that AWS SCT can connect to your target Redshift workgroup. When the test is successful, choose OK.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

AWS Big Data

NOVEMBER 8, 2023

The 3-node RA3 16XL provisioned cluster that had previously been hosting their warehouse was taking around 12 hours to ingest this data to Amazon Redshift , and Gilead was looking to optimize the data ingestion process in a more dynamic manner. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

Domino Data Lab

MAY 8, 2019

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

CIO Business Intelligence

SEPTEMBER 22, 2023

These sources include ad marketplaces that dump statistics about audience engagement and click-through rates, sales software systems that report on customer purchases, and websites — and even storeroom floors — that track engagement. It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending. Of course, marketing also works. Survey CTO.

Management 144

Management Advertising Data Lake Sales 144

Occam's Razor

DECEMBER 3, 2008

Your deep understanding of statistics etc is not required. Some companies have inhouse (hosted) solutions (javascript tag based or log file based). Group Manager, Analytics & Optimization. Understanding ecosystem. Business strategy. Trinity type execution of measurement. Javascript hacking skills are optional.

Analytics 115

Analytics Consulting Metrics Reporting 115

IBM Big Data Hub

MARCH 25, 2022

One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. We were excited to see our TPC benchmarking results and additional benchmarking tests. Co-developing with customers in gaming, banking and ridesharing.

Data-driven 74

Data-driven Data Warehouse Data Processing Marketing 74

Domino Data Lab

JULY 9, 2019

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

JANUARY 25, 2021

Both SRE and DevOps emphasize similar practices: version control (62% growth for GitHub, and 48% for Git), testing (high usage, though no year-over-year growth), continuous deployment (down 20%), monitoring (up 9%), and observability (up 128%). It’s particularly difficult if testing includes issues like fairness and bias.

Machine Learning 363

Machine Learning Software Testing Technology 363

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. For a time, I believed simulation was more useful a capability than optimization, at the time that larger firms were seeking optimization solutions. Storytelling is a nice one to use early on to test the approach. Do you play SimCity? Yes, and no.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. They can then pinpoint areas for improvement.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52