If you work closely with a Web CMS or an ECM system, you have probably run into the notion of content analytics. But chances are good that no one ever bothered to explain what it is exactly and how one uses it. Moreover, if you start taking content analytics more and more seriously,...
Case Study: How Adaptive Analytics Is Thriving With ClicData Business Intelligence Software May 18, 2018 Adaptive Analytics, a data analytics firm that helps its clients gather, integrate, analyze and visualize their data, uses ClicData to integrate their data into one system and enhance their dash...
The goal of using predictive analytics is to solve problems; therefore, a good predictive model is not one that uses the latest and most fashionable techniques, nor is it the most complicated or the simplest one. A good predictive model one can be used to solve a real-world problem in a...
Netflix uses sophisticated algorithms to suggest content based on viewing history, while Spotify employs similar techniques to curate personalized playlists. These platforms have set a high bar for personalized experiences, which fintech companies are now striving to match. Digital banks are drawing ...
This study uses descriptive research design. Data sets were extracted from OpenWHO’s built-in reporting system for the period between April 2021 to September 2021. This system provides full course analytics such as the number of enrolments, geographical data of learners, as well as learners’ af...
The company uses cloud services to achieve hyper-automated network O&M management, and builds intelligent connections that offer deterministic experiences to better meet the needs of industrial scenarios. Huawei provides global customers with a range of intelligent connectivity solutions, including ...
In addition, Credit Plus’s analytics and data modeling tools enable insurance companies to streamline their underwriting processes. By analyzing credit data and other relevant factors, insurance companies can develop predictive models to assess risk more accurately. This improves the efficiency of the ...
3 Methodology This research proposes numerical and textual predictive solutions for crowdfunding applications. The research methodology diagram is shown in Fig. 2. As it shows, the crowdfunding dataset is split into numerical and textual parts, each of which uses a data preprocessing approach ...
Uses predictive artificial intelligence (AI) to personalize messages at scale Segmentation Rich notifications Interactive notifications Analytics and data reporting Application programming interface (API) integration Price Their site doesn’t discuss pricing but invites visitors to download and try their demo ...
He uses his knowledge of graph and other big data technologies to build out highly performant and scalable systems. Dave has previously spoken at a variety of international technical conferences including NDC Oslo, NDC London, and Graph DayTexas. Dave will present the following Graph Day session:...