Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

• A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of input data having increased 25000 times)? What will happen to recommendation rule generation setup (the need to reduce 1000 times the recommendation rule filtering threshold due to a thousandfold increase of the volume and “assortment” of the rules generated)?
• An equipment health monitoring system uses “manual” data sample feeds. Now it is connected to a SCADA system that transmits thousands of process parameter readings each second. What will happen to the monitoring system (will it be able to handle equipment health monitoring on a second-by-second basis)? What will happen once the input data receives a new bloc of several hundreds of columns with data sensor readings recently implemented in the SCADA system (will it be necessary, and for how long, to shut down the monitoring system to integrate the new sensor data in the analysis)?
• A complex of AI/ML mechanisms (recommendation, monitoring, forecasting) depend on each other’s results. How many man-hours will it take every month to adapt those AI/ML mechanisms’ functioning to changes in the input data? What is the overall “delay” in supporting business decision making by the AI/ML mechanisms (the refresh frequency of supporting information against the feed frequency of new input data)?

I really love documentaries! Last weekend I was watching a Netflix documentary called This is Pop, because it was Analytics Contest time and I thought: Why not creating a pop song analytics with InterSystems Iris?

An interesting thing about data is that we can always discover something new.

And with this concept in mind, we create a new page to show a little bit inside the world of ZPM!

The pandemic that struck the world in 2020 made everyone follow the news and the numbers that involve the COVID-19.

Why don’t you take that opportunity to create something simple and pleasant, to follow the number of vaccinations worldwide?

To face this challenge, I'm using the data provided by Our World in Data - Research and data to make progress against the world’s largest problems.

They have a dedicated repository on Github with the data of COVID-19, and I took the vaccination data to help me with my tracker.

Looking at my old articles recently. I saw an undeservedly forgotten program that can significantly increase the security of your system by not allowing the user to use old passwords when changing.

For a long time, we have been using a utility in production to export the result of a query to an Excel spreadsheet. Moreover, we have applied a modification of it, in which the explicit setting of column formats is a priority.

In the first part we got a quick introduction on the IMAP protocol commands, now it's time to use IRIS and implement them and create our own IMAP client!

I'm glad to announce we have recently released our second Starter Pack. This one is for the Mining Industry, and the first was for Industrial IoT (OEE).

But what does it exactly mean?

InterSystems IRIS Starter Packs (thanks to Joe Lichtenberg that helped with this text)

Making a blog using Python + IRIS Globals

Since I started to use internet (late 90's), I always had a CMS (content management system) present to make easier post
any information in a blog, social media or even an enterprise page. And later years putting all my code into github I
used to document it on a markdown file. Observing how easy could be persisting data into Intersystems IRIS with the
Native API I decided to make this application and force myself to forget a little of SQL and stay open to key-value database
model.

When you have more than ten thousand users in your database, it becomes time-consuming and inconvenient to assign group access rights through the standard IRIS interface. In this artilce I want to introduce you an application to automate this process.

I’ll show you how to assign and change the role lists for the users, selecting them by context, and I will also show you how to expand this application’s functionality. you know how to apply your work as an administrator and developer to the new features of the well-proven apptools software complex. With the addition of an adminLTE template, you can now quickly and easily create interface interactions for any entity and many functional modules.
The goal while developing this toolkit is to write as little JavaScript as possible as well as transfer and implement all the dynamics as much as possible in the ObjectScript.

If one of your packages on OEX receives a review you don't get notified by OEX only on YOUR package.
​​​So @Evgeny Shvarov suggested publishing my monthly summary of reviews here in DC.
It reflects my experience with the status I found at the time of my review.

Server Manager 3.0 Preview, my entry for the InterSystems Security Contest, is now making use of a cool new feature of Visual Studio Code version 1.63 - support for pre-release extensions.

Hi,

I just published isc-mem-config on OpenExchange and ZPM. It's a prototype to test whether this kind of user experience (UX) is a good fit for novice and / or more seasoned users. The settings it generates are already fairly-good-practice :-), but also being reviewed by experts within InterSystems in parallel.

Apache Zeppelin it's a Multi-purpose notebook that allow you:

• Data Ingestion
• Data Discovery
• Data Analytics
• Data Visualization and Collaboration.

Apache Zeppelin interpreter concept allows any language/data-processing-backend to be plugged into Zeppelin. Currently Apache Zeppelin supports many interpreters such as Apache Spark, Apache Flink, Python, R, JDBC, Markdown and Shell.