October 7, 2022

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by Jorge Trujillo, Chief Data Strategist, DataStax; and Ara Bedurgian, President, Titanium Intelligent Solutions

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Internet of Things (IoT) data can be poured from pretty much everywhere, whether it’s from sensors that monitor air quality in a building, intelligent devices in a smart city, or augmented reality to augment live sporting events. Mobile app with overlays. IoT is embedded in our daily lives with fitness trackers, Uber Eats, Lyft, delivery tracking, security cameras, and smart thermostats. The exponential growth of IoT is providing other industries with a view of the potential growth of the real-time data ecosystem.

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Collecting and extracting value in real time from diverse data generated by a very wide range of devices and other hardware poses a unique array of challenges in both interoperability and scalability. IoT sensors, actuators, networks and data and analytics platforms bring the physical and digital worlds together—and it doesn’t come easy.

New York-based Titanium Intelligent Solutions is set to build a global SaaS IoT platform that can meet these challenges. Doing so required a foundational, modern data technology stack that was flexible enough to support a wide range of IoT use cases in a scalable manner across geographies and clouds. Here we’ll go through the vision that drove Titanium’s success and give an example of how Titanium made it work.

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Today’s real-time data stack

The demand for analytics and AI insights from high-growth applications, IoT devices, B2B transactions, multi-access edge computing, mobile devices, smart buildings and cities, and augmented or virtual reality is accelerating the shift in data and infrastructure strategies . Organizations across industries are rushing to take advantage of new ways to monetize information that runs through the streams of real-time data produced by all these devices and use cases.

In a recent report, analyst firm McKinsey found that by 2030, the IoT industry could enable $5.5 trillion to $12.6 trillion of value globally, including the value derived by consumers and customers of IoT products and services. .

The need to handle this wide variety of fast-moving, high-volume data has led to operational flexibility, rapid growth across geographies, and the customer experience table raises the stakes.

Industry challenges for real-time data stacks

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The gap between data-driven organizations and those striving to be data-driven is widening. A key element of success for the East: the tight alignment between business and IT. But it is not easy, and very few organizations achieve the right rapport between technology leaders and business units. VPs of software engineering, data warehousing, data science, data engineering and databases often have their own preferences, technical debt, and technologies they prefer to work with. Add cloud strategy to application, data and analytics strategies, and organizations end up with ecosystems that have evolved into a variety of silent technologies that all speak different languages. The complexity in these disparate ecosystems negatively affects the security, governance, analytics and value of data. Many organizations struggle to be data driven due to lack of alignment on vision and enterprise-wide execution strategy that will drive both business growth and revenue.

A vision for a real-time data ecosystem

Titanium created a vision for a real-time data ecosystem that incorporates the leading-edge principles of data stacks to solve IoT data challenges. Titanium’s SaaS IoT platform provides low latency, bi-directional communication, security at every link in the data chain, real-time data, historical data, and scalability. With a real-time data ecosystem, Titanium provides the data needed for ESG (Environmental, Social and Governance) reporting, analytics, operational management, artificial intelligence and automation.

The company turned to Apache Cassandra®, the open-source NoSQL database known for its rock-solid performance, scalability, and reliability. For increased security and scalability, Titanium worked with Datastax to use Astra DB, its managed database service built on Cassandra. Astra DB’s multi-data model, multi-cloud, and multi-use case capabilities help Titanium focus on delivering customer value versus supporting a complex data ecosystem.

Data interoperability requires seamless collaboration for data integration and correlation across business units, so Titanium offered an integrated IoT and IT network that enhanced efficiency and control – for itself and for its customers. Since the data is in the cloud, it is accessible for a variety of uses while meeting security and privacy requirements.

Titanium also provides information not typically found in building automation systems, including heating degree days and cooling degree days, climate zones, and more. These metrics can be relevant to ESG reporting—and this increases cross-departmental usage. ESG real-time dashboards are used by managers to monitor and analyze building performance, while corporate ESG teams can use the data to meet sustainability goals. This enhances the value of data across customer business units and regions.

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Case Study: Extending a Climate Control System across the Country

In general, IoT companies focus on providing functionality to build services with hardware solutions. Hardware solutions are often closed-loop systems that require the end user to use proprietary hardware, which locks the customer in for the life of the product; This can have a significant impact on the speed and business benefits of integration with other tools. As a result, industry IoT platforms often have fixed, limited functionality. IoT companies often lack interoperability and scalability, making it difficult to scale seamlessly across multiple locations and regions.

Titanium sought to build a scalable, interoperable cloud-based data stack through a partnership with DataStax. The company’s SaaS platform requires the flexibility to support customer operating models across different geographies. Standardization on a streamlined, multi-modal, multi-purpose data ecosystem was critical to reducing data integration complexity and transform management time to rapidly deliver business value from real-time data. The ability to supply analytics and AI capabilities to customers was an important part of the data ecosystem design.

Titanium’s global cloud IoT platform requires a high-speed database to support future growth in volume and velocity across geographies for the growing IoT industry. Automation also required low latency for real-time data; Time delays can result in automatic decision making that were out of date. Latency makes automation very challenging, if not impossible. People are accustomed to manually flipping the switch to turn off the lights – without any delay. Delayed response will be a deterrent for people using the cloud-based platform.

Low latency is also necessary for real-time data when operating in multiple locations. If changes are made in different places by different people, or if simultaneous automated actions and communication are delayed, it can be frustrating, and even lead to erroneous actions. A global real-time data platform requires multiple locations to operate as a seamless data ecosystem with low latency priority.

Using AI, Titanium can route data based on the strongest signal strength to ensure seamless communication. IoT data feeds the AI ​​model; AI can identify hardware devices and turn them into platforms. This can be done remotely, eliminating the need for a person to manually commission the equipment physically on location. Predictive maintenance is also used to identify devices that are constantly running or not active, indicating a performance problem.

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Titanium also provides a sophisticated ESG dashboard that provides user-friendly advanced analytics. For example, it enables the comparison of multiple metrics to identify drivers, such as CO2 levels, which may indicate inadequate ventilation.

The customer contacted Titanium, a nationwide distribution company, with a need to design a scalable climate control platform with a wide range of operational capabilities. Their distribution centers range from 500,000 to one million square feet and are in over 40 different states in the US.

The client was looking for a centralized climate control system that could be measured, controlled and monitored with real-time data and analytics with ESG reporting as well as AI-based maintenance. Furthermore, given the lack of visibility for their assets, it was preventing them from engaging corporate governance to save energy and reduce their carbon footprint by measuring real-time energy consumption and reporting the data into a single dashboard. Had been.

Titanium offered the company an interoperable platform with remote, single-user access to all its climate control functions. A design focus on data integration made it easy to manage all climate control systems across 50 distribution centers from a single real-time dashboard. Titanium solutions conveniently at their customers’ locations, saving the customer at least 15% in energy costs. The Titanium cloud-based platform helped eliminate silent data, provide greater departmental use, and strengthen corporate governance.

an aligned vision

The IoT industry is constantly evolving to support a wide range of use cases and operating models. Having a vision that aligns business and IT leaders on an execution strategy is key to creating a data operating model that drives business revenue and growth. Building a well-organized, reliable and reliable data ecosystem is the foundation for delivering the analytics and AI results at the pace Titanium customers need to drive business growth and revenue.

Learn more about Datastax here.

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