California has launched a new portal, which tracks AI-related job losses in the state. According to the office of California Governor Gavin Newsom, it’s meant to serve as an “early warning system” for widespread job cuts due to artificial intelligence, allowing the government to proactively determine where interventions may be needed the most.
The website says Newsom’s office worked with the California Employment Development Department, as well as with the California Policy Lab at the University of California to conduct research to measure AI-related job losses. They use Unemployment Insurance claims data combined with AI exposure measures to come up with the figures in the tracker. Anybody can see the data for themselves, and the tracker will be updated monthly.
As Bloomberg notes, the tracker was built during a time when there’s increasing pressure on authorities to be more proactive when it comes to AI-driven job loss. Politicians are keen on being seen as a champion of the masses against AI, even more so for politicians in California, where many big tech companies are based. Newsom, who’s believed to be running for president in 2028, recently signed an executive order requiring state agencies to develop plans for offsetting AI’s effects on California workers.
The tracker will let you see potential AI exposure by different groups, such as age, education, gender, industry, race and ethnicity, as well as by region. For instance, people in the 25 to 35 age group seems to the most vulnerable to AI-related layoffs, females more so than males. According to researchers who studied the data used by the tracker, however, it shouldn’t be used as a definitive guide. The tracker can’t actually determine whether particular jobs were eliminated due to AI, and the trends seen in it could be caused by other economic factors.
The following are the curated features of elasticsearch. They are:
Elasticsearch can handle unstructured data up to petabytes in size.
Elasticsearch can be used to replace document stores such as MongoDB and RavenDB.
Denormalization is used by Elasticsearch to improve search performance.
Elasticsearch is a popular enterprise search engine that is currently used by many large organizations such as Wikipedia, The Guardian, StackOverflow, GitHub, and others.
Elasticsearch is open source and distributed under the Apache License 2.0.
Now we will learn about the installation of elasticsearch step by step.
Installation of Elasticsearch:
Step1: Explore the version of Java that is installed on your computer. Java 7 or higher is required. You can double-check by doing the following:
In the Windows Operating System (OS) (via the command prompt)
>java-version
In UNIX OS (Using Terminal) −
$ echo $JAVA_HOME
Step2: Download Elasticsearch from www.elastic.co, as indicated below, depending on your operating system.
Download the ZIP file for Windows.
Download the TAR file for UNIX OS.
Download the DEB file for Debian OS.
Download the RPN file for Red Hat and other Linux distributions.
In many Linux distributions, the APT and Yum utilities can also be used to install Elasticsearch.
Step3:
Elasticsearch installation is straightforward, as described below for various operating systems.Windows Operating System Elasticsearch is installed after unzipping the zip package.UNIX Operating System Elasticsearch is installed after extracting the tar file to any location.
Now you can now install Elasticsearch by using the following command
sudo yum install elasticsearch
Step4: Navigate to the bin folder in the Elasticsearch home directory. In the case of Windows, run the elasticsearch.bat file, or in the case of UNIX, use command prompt and terminal to run the Elasticsearch file.
In Windows
> cd elasticsearch-2.1.0/bin
> elasticsearch
Subscribe to our YouTube channel to get new updates..!
In Linux
$ cd elasticsearch-2.1.0/bin
$ ./elasticsearch
Step5: The default port for the Elasticsearch web interface is 9200, but this can be changed by changing http.port in the elasticsearch.yml file located in the bin directory. To see if the server is up and running, go to http://localhost:9200. It will return a JSON object containing information about the installed Elasticsearch in the format shown below.
Kibana for Windows can be downloaded from https://www.elastic.co/products/kibana. When you click the link, you will be taken to the home page, as shown below.
Unzip and go to the Kibana home directory in order to run it.
CD c:\kibana-7.0.0-windows-x86_64
.\bin\kibana.bat
ElasticSearch Training
Weekday / Weekend Batches
Conclusion:
In the above blog post we had explained about the installation steps of elasticsearch both for linux and windows operating system. Had any queries drop them in the comments section to get them resolved.
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.