Muhammad Elkharashy

Incorta is a Real time analytics on big data without the need for manipulation and cleaning to unlock its value.

BADR Salesman offering a personalization engine for online businesses, to help them create a unique experience for each customer on their websites.

Once installed, it starts monitoring each customer's behavior on the website; page-views, clicks, ratings, purchases... Using Data Science, Salesman uses this data to answer two questions:
- Which product(s) is a customer interested in?
- How much is that customer price-sensitive?

Based on these answers, BADR Salesman starts… عرض المزيد

BADR Salesman offering a personalization engine for online businesses, to help them create a unique experience for each customer on their websites.

Once installed, it starts monitoring each customer's behavior on the website; page-views, clicks, ratings, purchases... Using Data Science, Salesman uses this data to answer two questions:
- Which product(s) is a customer interested in?
- How much is that customer price-sensitive?

Based on these answers, BADR Salesman starts acting as a Recommender and a Promoter:

As a Recommender, the system handles complicated mathematical equations behind the scenes to study customers’ behaviors and show each of them products in which they are interested, and might actually buy.

As a promoter, BADR Salesman allows you to create a discount campaign for each product, with a minimum and a maximum discount rate for each item to be sold, and a budget for the whole campaign. عرض أقل

Seeloz is a Data-Driven Decision-Making platform addressing major Big Data/Data Science challenges for enterprises, with point solutions for specific industries such as Retail, Telco's, Banking & Healthcare. Being scalable, real-time, business-oriented, turnkey & end-to-end is what makes it truly unique.

TweetMogaz is a system, which aggregates the public Arabic tweets and applies an NLP research (done in co-operation with QCRI) over these tweets to give the Arabic users a glance on the hot topics emerging in certain area or certain topic.

Now TweetMogaz is succeed efficiently to classify about 2 millions Arabic Tweets daily to a pre-defined set of categories, and it is able to detect the hot topics discussed in Arabic Tweets. It is not limited to the most retweeted hash tag or an exact… عرض المزيد

TweetMogaz is a system, which aggregates the public Arabic tweets and applies an NLP research (done in co-operation with QCRI) over these tweets to give the Arabic users a glance on the hot topics emerging in certain area or certain topic.

Now TweetMogaz is succeed efficiently to classify about 2 millions Arabic Tweets daily to a pre-defined set of categories, and it is able to detect the hot topics discussed in Arabic Tweets. It is not limited to the most retweeted hash tag or an exact phrase, it is intelligent enough to detect the related topics. عرض أقل

Reinventing consumption with a simple, on-demand subscription model for the products you love.

The goal is to create a rich and flexible UI, enabling users to rapidly develop end-to-end applications that leverage the power of Apache Solr. Data can be ingested into Solr through a variety of ways, including Logstash, Flume and other connectors.

The Banana project was forked from Kibana, and works with all kinds of time series (and non-time series) data stored in Apache Solr. It uses Kibana's powerful dashboard configuration capabilities, ports key panels to work with Solr, and… عرض المزيد

The goal is to create a rich and flexible UI, enabling users to rapidly develop end-to-end applications that leverage the power of Apache Solr. Data can be ingested into Solr through a variety of ways, including Logstash, Flume and other connectors.

The Banana project was forked from Kibana, and works with all kinds of time series (and non-time series) data stored in Apache Solr. It uses Kibana's powerful dashboard configuration capabilities, ports key panels to work with Solr, and provides significant additional capabilities, including new panels that leverage D3.js.

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