Salesforce business users may have been long waiting for a business solution for notifications. Whether it is Chatter notifications, Bell notifications, or the regular email alerts, every time a new scenario or change is needed, they must wait for developer or admin support to code in the change and configure the system. And tracking of notifications for a particular record is nothing less than a hunting job. The Notification App is an answer to these long-standing problems.
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Extracting Data from Common Crawl Dataset
In the field of natural language processing (NLP), data is king. The more data you have, the better your results. Most new research is freely accessible these days and, thanks to the cloud, there is unlimited computing power at our disposal. What keeps an NLP researcher from achieving state-of-the-art results despite this is the lack of good data.
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Making Logs Meaningful: The Role of Mapped Diagnostic Context
Logs in any computing program can be used to track its execution and how it is faring at the moment. Based on my experience here at QBurst, let me show you how to make meaningful logs in any backend application with proper contextual information. This post will specifically take a look at logging in Java and see how logs can be made meaningful, and then go on to introduce Mapped Diagnostic Context (MDC) logging.
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OCR: Extracting Handwriting from KYC Forms
In our previous blog post, we discussed how we extracted printed text from ID cards to speed up application processing in banks. Here we look at how we extracted handwriting from KYC forms.
Enforcing Social Distancing in Shops Using YOLO and OpenCV
Small businesses thrive on in-store customers. When they reopen post-lockdown, a major challenge would be ensuring the safety of their staff and customers. Sanitizing and limiting shop occupancy are important safety measures but so is social distancing. How can small shops, with their limited resources, monitor their customers and enforce social distancing?
Object detection in real-time is a potential solution.
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How to Parse a JSON File in Adobe Campaign
A unified view of the customer journey is a must for launching powerful targeted marketing campaigns. The customer profiles feature in Adobe Campaign gives marketers this critical data to create persuasive personal campaigns. Data residing in multiple applications and databases are merged in Adobe Campaign to create comprehensive profiles for each customer.
Two methods are used to import data in Adobe Campaign: API and batch file processing. In the former, a SOAP client is used to call in-built APIs within Adobe Campaign. The latter method is, however, more common and convenient, as this allows marketers to collect a considerable amount of data from different sources and process them before feeding them to the marketing automation system. This also saves them the trouble of setting up API calls to the system, especially if they do not have a technical background.
There is a tiny hitch though. Adobe Campaign only allows import of data in text, CSV, Tab, or XML formats. But that is not always the case with the data received from upstream data sources.
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Malayalam Subword Tokenizer
Let’s start with the obvious question, what is a tokenizer? A tokenizer in Natural Language Processing (NLP) is a text preprocessing step where the text is split into tokens. Tokens can be sentences, words, or any other unit that makes up a text.
Every NLP package has a word tokenizer implemented in it. But there is a certain challenge associated with Malayalam tokenization.
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Performance Monitoring and Alerting with Elastic Stack
In my previous post, I had discussed the basic architecture and features of Elastic Stack-based log monitoring system. Here, I delve into three use cases of Elastic Stack, namely, response time calculations, system metrics monitoring, and alerting.
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Shell Scripting in Adobe Campaign
Adobe Campaign is one of the most robust marketing automation tools available today. From designing, building, testing, and automating your marketing campaigns, you can get a lot accomplished on a single platform. Think centralized access to up-to-date customer profiles, cross-channel marketing, mass mailing, ability to track each email, push notifications, and content customization, Adobe Campaign ticks every box.
While the simple drag-and-drop interface makes workflow creation quite easy, what interests me more as a developer is that I can make use of a JavaScript or a shell script when I’m dealing with a complex requirement.
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A Deep Dive into Log Monitoring Using Elastic Stack
It is very hard to monitor logs of large environments using manual log monitoring. In such situations, we need to use centralized and near real-time log monitoring systems. This will help in detecting and resolving anomalies as soon as they occur. Among log monitoring tools, Elastic Stack is the most popular one. As an open-source solution, Elastic Stack provides some basic features. Premium features such as enhanced security, authentication mechanism, alerting, reporting, and machine learning come with Elastic Stack Features (formerly X-Pack) license.
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