Center for Real-Time Applications Development

Modern smart building applications are helping building designers, owners, and managers digitally transform their operations to realize enhanced benefits.

Telcos need an agile, low code platform that supports events and streaming data to develop next-generation real-time 5G and edge applications.

We’re on the cusp of a transformative era where the deployment of real-time, event-driven technologies turns vast volumes of data into actionable information, leading to fundamental improvements in everything from commerce to personal security

Real-time retail requires a development environment that uses low code techniques and a platform that can easily connect to many data sources.

The big data versus fast data debate is not cut and dry. Successful organizations need a combination of both approaches.

As organizations move towards digital transformation, the low code plus composable combination offers maximum flexibility, delivering value at greater speed.

Brick-and-mortar stores are turning to smart retails applications, where technology is used in the traditional retail space to entice customers back.

Companies are rapidly changing their throughs about bringing people back to the office. Smart offices will be a key to a fast and safe return to work.

Many businesses do not have expertise in developing real-time applications. Here are some do’s and don’ts to get started down the right path.

Companies must realize that smart buildings can deliver more value in space optimization and employee productivity than in merely reducing energy costs.

Making each step up the human/machine interaction spectrum ladder, from assisted to augmented to an autonomous machine, requires increased trust in the real-time systems.

Real-time data streams and predictive analytics capabilities improve decision-making for utilities and energy companies, helping them fight disruptions.

Autonomous buildings aim for a higher level of automation than smart buildings, optimizing environmental impact, enhancing comfort, and increasing security.

The composable enterprise will respond with greater sensitivity to society’s needs and pressures and allow businesses to weather disruption more easily.

The goal of the optimization algorithm is to make it easier for businesses to understand the potential of their robotics investments.

Many businesses find they need a common development platform for their varied real-time smart applications that aid them in getting back to work.

For applications where low latency and high bandwidth are required for safe and accurate results, the telco edge remains critical.

The pandemic may pass, but the potential for disruption never does. As a result, low code’s newest popularity could prove to have staying power.

Real-time systems must be updated and modified in real-time as soon as an issue is identified. Hence the need for real-time squared.

Low code development can help businesses create new digital offerings and deliver value to customers using the team they already have in place.

Real-time location systems provide the supervisory tools administrators and healthcare workers need to ensure fast, efficient care.

Real-time systems can have development challenges due to their complexity, distributed nature, and the need for analysis to be done in real-time.

An experimental traffic signal controller system uses self-learning algorithms and can adjust traffic flows based on changing conditions.

Learn why event-driven systems are easier to design, build, and execute than their database-centric counterparts.

Technology demonstrations in 2020 show the progress that has been made in bringing autonomous watercraft closer to commercial use.

Today’s leading technology initiatives from AI to edge computing to digital twins are all made possible with IoT.

Robust testing means that your Real-Time Application is more stable and reliable than ever before.

Automating underwriting can increase turnaround time exponentially, moving the needle from weeks or months to mere days.

Organizations need transparency into real-time applications to understand inter-dependencies, prevent unexpected problems, and avoid incorrect results.

Containers offer many benefits but introduce cyber risks and lifecycle issues. Sound security and DevOps practices can avoid these problems.

Businesses are striving to develop digital transformation solutions that increase customer satisfaction, retention, and long-term profitability.

Potential obstacles to implementing streaming analytics include outdated architectures, limited staff availability, and a lack of skills.

A case for real-time collaboration between humans and so-called ‘machines’.

Combining intelligent streaming analytics with real-time digital twins for aggregate analysis offers several benefits in a real-world applications.

See how to maximize the potential of connected industries by integrating different technologies (such as AI/ML, remote sensing, and real-time analytics), and connecting people to things in real-time.

Real-time data without context can be either too troubling or not troubling enough, leading to panic and wrong decisions.

A pilot program combines an intelligent infrastructure, a digital parking garage operations platform, and autonomous vehicles into an automated valet parking service.

See firsthand how you can quickly build real-time smart building applications to allow for a safe return to work.

The complexity and ever-changing nature of fraud and financial crime patterns requires an ability to quickly and effectively spot and stop incidents.

As businesses become more distributed and the world more fast-paced, a much more agile and responsive application architecture is required in order to simply keep up, let alone get ahead. Queue, EDA.

Learn the difference between traditional digital twins and next-generation digital twins and the power that combining digital twin technology with a real-time event-driven application brings to the table.

See why in today’s fast changing business landscape, a computing topology that allows for real-time responsiveness, minimal to no latency, increased data security, massive scalability, and more is a necessity.