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Find Files Faster: How to Organize Files and Folders
Find Files Faster: How to Organize Files and Folders
You're sitting at your desk, putting the finishing touches on today’s big project, when ding! a message comes in from your boss: “Can you find that project we scrapped three years ago? You and John from UX worked on it, I think? We are thinking about picking it back up...
·zapier.com·
Find Files Faster: How to Organize Files and Folders
Getting Started with Julia for Actuaries
Getting Started with Julia for Actuaries
An overview of the basic tooling and packages available for the Julia programming language, with a focus on why this is of interest to the actuarial profession. It covers some of the built-in language features as well parts of the Julia package ecosystem that make Julia ideal for modeling and data analysis. This is the second installment in a series of article aimed at actuaries. The first installment, Julia for Actuaries, was published in the October 2020 edition of Actuarial Technology Today, and covered the base language itself, its high-level, math-friendly syntax, and why the actuary of the future should consider its adoption.
·soa.org·
Getting Started with Julia for Actuaries
Actuarial Process Optimization—A Case for Using Modern Technology in Actuarial Domain
Actuarial Process Optimization—A Case for Using Modern Technology in Actuarial Domain
Actuarial Process Optimization is a framework for using technology to support the actuary of the future. In this article, we discuss the capabilities of new technologies and explore examples where they can be used to aid with providing strategic business direction, optimizing skillsets and use of technology, and maintaining governance, control, and risk frameworks.
Innovation in technology has disrupted nearly every industry creating mounting internal and external pressures on organizations to accelerate the adoption of their digital agendas. The COVID-19 pandemic further brought to light the need for technology to be adaptable, powerful, and scalable. Insurance companies have been trying to keep up with the pace of innovation, primarily focusing on adopting modern technology on the consumer experience front.
Many have modernized the front office processes that support application, underwriting, and claim handling. The significant benefits achieved through process optimization and the use of modern technology have been the topic of discussions at many insurance conferences and publications.
As the insurance industry leaps into the future, actuaries must not only proactively refine their roles and responsibilities within insurance companies, but also seek opportunities for improvements and optimization in their day-to-day work. This article will focus on how technology and actuarial process optimization will support the role of the future actuary as a leader, risk manager, and technologist.
Opportunities for APO
Actuaries are valuable and strategically important resources to insurance companies. We are trained both on the job and through an intensive education and exam curriculum to study and own insurance risk. As highly capable professionals, actuaries are often self-reliant, and are interested in owning all technology tools, data and processes that support their daily jobs. However, this hands-on approach can lead to performing many tasks that do not require actuarial expertise. By occupying ourselves with various high effort but low value tasks, we often neglect to focus on higher value tasks that are truly valuable to the future of our organization. Advancements in technology and the desire for lean operations have contributed to many insurers evaluating their strategic direction and the role of the actuary of the future, shifting their focus onto highest value tasks.
Unnecessarily complex and error prone ETL, production and reporting workflows. Time and resources wasted on resolving errors and tracing back complex process steps. Production and process errors that can result in misstatements and delays in reporting. Multiple unvalidated spreadsheets with overlapping functionalities. Multiple sources of information, but no single “source of truth.” Storage and processing time wastage.
·soa.org·
Actuarial Process Optimization—A Case for Using Modern Technology in Actuarial Domain
WSGI Servers
WSGI Servers
A Web Server Gateway Interface (WSGI) server runs Python code to create a web application. Learn more about WSGI servers on Full Stack Python.
·fullstackpython.com·
WSGI Servers
Excel VBA - VBA Best Practices
Excel VBA - VBA Best Practices
ALWAYS Use Option Explicit, Work with Arrays, Not With Ranges, Switch off properties during macro execution, Use VB constants when available, Avoid using SELECT or ACTIVATE, Always define and set references to all Workbooks and Sheets, Use descriptive variable naming, Document Your Work, Error Handling, Never Assume The Worksheet, Avoid using ActiveCell or ActiveSheet in Excel, WorksheetFunction object executes faster than a UDF equivalent, Avoid re-purposing the names of Properties or Methods as your variables
·devtut.github.io·
Excel VBA - VBA Best Practices
Data Modeling - Relational Databases (SQL) vs Data Lake (File Based) - Confessions of a Data Guy
Data Modeling - Relational Databases (SQL) vs Data Lake (File Based) - Confessions of a Data Guy
Data Modeling is a topic that never goes away. Sometimes I do reminisce about the good ol’ days of Kimball-style data models, it was so simple, straightforward, just the same thing for years. Then Big Data happened, Spark happened. Things just changed. There is a lot of new content coming out around Data Lakes and […]
·confessionsofadataguy.com·
Data Modeling - Relational Databases (SQL) vs Data Lake (File Based) - Confessions of a Data Guy
Read the R source! - R-hub blog
Read the R source! - R-hub blog
Ever heard the phrase “Read the source, Luke”? It’s a play on “Use the force, Luke” from Star Wars, with no definite source 😉 that we could find^[We erroneously first linked to a rather recent blog post but Robert Link corrected us in a comment that we reproduce here in case the post gets separated from its comments: ““Use the Source, Luke” goes way back before 2012, and probably even before blogs were a thing.
·blog.r-hub.io·
Read the R source! - R-hub blog
Why Every Entrepreneur Should Be Doing A Weekly Review
Why Every Entrepreneur Should Be Doing A Weekly Review
Ever get the feeling nagging at the back of your head that there’s something you’re supposed to do, but you can't remember what it is? Or you know you're supposed to ask something specific to the person you're talking to? Or you've got so many open loops in that you aren't sure what the logical next step is? I used to. I don't very much anymore. I've always been a bit of the absent minded professor type, prone to getting lost in my head or on a walk. That means that I've always had a problem losing or forgetting things that need to get taken care of.
·taylorpearson.me·
Why Every Entrepreneur Should Be Doing A Weekly Review
awslabs/aws-dataall: A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
awslabs/aws-dataall: A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS. - GitHub - awslabs/...
·github.com·
awslabs/aws-dataall: A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
Monitor data quality in your data lake using PyDeequ and AWS Glue | AWS Big Data Blog
Monitor data quality in your data lake using PyDeequ and AWS Glue | AWS Big Data Blog
In our previous post, we introduced PyDeequ, an open-source Python wrapper over Deequ, which enables you to write unit tests on your data to ensure data quality. The use case we ran through was on static, historical data, but most datasets are dynamic, so how can you quantify how your data is changing and detect […]
·aws.amazon.com·
Monitor data quality in your data lake using PyDeequ and AWS Glue | AWS Big Data Blog
haciduru/kal: This is a script that you can use to encrypt data using Rscript command line tool. It would be impossibly difficult to decrypt the data if you had not seen the code in this file.
haciduru/kal: This is a script that you can use to encrypt data using Rscript command line tool. It would be impossibly difficult to decrypt the data if you had not seen the code in this file.
This is a script that you can use to encrypt data using Rscript command line tool. It would be impossibly difficult to decrypt the data if you had not seen the code in this file. - GitHub - hacidur...
·github.com·
haciduru/kal: This is a script that you can use to encrypt data using Rscript command line tool. It would be impossibly difficult to decrypt the data if you had not seen the code in this file.