Complex Event Processing in 2020: in-Depth Guide

Some events caused by manual mistakes or glitches, disrupt an organization’s process flow, leading to significant losses. Identifying root causes after these catastrophic results occur does not prevent future events since processes can be impacted in numerous ways. Organizations leverage complex event streaming techniques and tools to identify current process status by examining streaming data.

What is complex event processing (CEP)?

Complex event processing is a real-time alerting hub of the organization. Complex event processing is connected to the various sources of data in the business with a series of pre-built triggers for certain events. When certain events happen, specified actions (e.g. alerts) can be triggered. Read more

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Top 28 IoT Applications/Use Cases of 2020: In-Depth Guide

Internet of Things (IoT) applications are becoming more widespread. According to Mckinsey, the percentage of businesses that IoT technology has increased from 13% to 25% between 2014 and 2019. 

IoT enables a myriad of different business applications. Knowing those applications can help businesses integrate IoT technologies into their future investment decisions. That is why we set out to create the most comprehensive library of IoT use cases.

The image below shows the potential impact of IoT technologies in various industries in 2025. Read more

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Self Service Reporting in 2020: In-Depth guide

Self-service reporting tools enable business users direct access to data which leads to faster access to data, reduced workload for technical personnel and alignment across different business units as those units rely on a single source of truth.

What is self-service reporting?

Self-service reporting is a component of self-service analytics that enables business users to generate reports and gain insights from data without relying on technical skills. These tools support creation of custom reports from any connected data source. Business users can use these tools to conduct their analysis and generate real-time dashboards via easy-to-use graphical user interfaces (GUIs) so that executives can make data-driven decisions without involving the tech team. Read more

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Recruiting AI in 2020: Guide to augmenting the hiring team

One of the biggest challenges that HR professionals are facing is finding the right talent. Recruitment teams spend time on partially automatable tasks such as resume screening, interview scheduling and interviewing. By using the latest advances in artificial intelligence, businesses can reduce the load of HR professionals and increase hiring effectiveness.

What is AI recruiting?

AI recruiting is applying machine learning on the recruiting related big data to improve the recruiting process of the organization. AI in recruitment is designed to reduce the time spent on repetitive, high volume tasks through automation. Read more

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IoT platforms of 2020: In-depth guide on platform capabilities

IoT platforms facilitate scalable deployment of IoT sensors as they provide a platform for securely managing and analyzing their IoT devices and data. Important features of an IoT platform include data management, analytics, application development, interoperability, device management and security.

What is an IoT platform?

IoT platforms are middleware that integrates applications and hardware while providing an environment for data analytics. These platforms transfer information between two IoT layers: hardware and applications. They transmit data from a variety of hardware to the cloud to make it useful for applications while transferring commands from applications to hardware. Read more

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