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Solving Two of the Biggest Challenges of IoT: Data Lag and the Interoperability of Things

Barry Strauss, Talksum Head of MarketingBarry Strauss, Head of Marketing, Talksum

Processing large volumes of disparate data coming in at high speeds (aka Big Data) not only requires vast computing resources, it also takes a long time. The delay in time from when the data is received to when it turns into actionable insights causes financial losses, which can include costly infrastructure, down time, operational inefficiencies, disaster recovery costs, policy violations, security violations, costs of standardization, and lost opportunities, among others.

What is the source of the problem? Existing solutions first store the data, then make sense out of it when needed. By doing this, 80 percent of an analytics project typically involves data preparation for analysis when it is needed, leaving only 20 percent for actually performing the analysis. Data preparation includes items such as indexing, mapping, data reducing, organizing, and cleaning.

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Traditional approaches try to solve this by making storage bigger and faster (improving traditional databases and building new storage solutions such as Hadoop, in-memory, and others), and building better analytics on top of it. But this comes with complexity and implementation expenses, as well as scalability and stability concerns.

Enter the Talksum solution, which takes the approach of first understanding the data and acting upon it in real time before storing. The hardware-based solution allows enterprises to apply business logic early in the process before data is stored; optimizing what needs to be acted upon in real time and what needs to be routed to respective downstream sources.

This approach also allows enterprises to efficiently manage, distribute, and track real-time Internet of Things (IoT) data. The Talksum solution provides the “Interoperability of Things” for the Internet of Things. Talksum products – the Talksum Data Stream Router™ (TDSR™) and the Embedded TDSR (eTDSR™) – connect data sources coming from multiple systems in different schemas, protocols, and formats. The solution can also extract, transfer, and asynchronously load data to different storage systems, providing interoperability to the systems that would otherwise live in silos.

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The TDSR/eTDSR solution works at both remote sites (IoT, Smart Cities) and at the data center. Each can be independent of the other or can work together.

At remote locations, the eTDSR collects any type of sensor data, filters it, determines critical events, and contextually routes the relevant data to the appropriate services, including the data center.

At the data center, the TDSR retrieves data from the eTDSR and other sources for consumption by respective applications and data storage systems. It forwards relevant information back to the remote sites, to data centers, and to multiple domains, as applicable.

If you are interested in more information about the Talksum IoT solution and how it can help your organization, fill out our contact form and we will get back to you as soon as possible.

 

Click here for more information about Talksum products.

 

 

Talksum Announces Embedded Data Stream Router for IoT, Smart Cities, Other Big Data Apps

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Provides Real-Time “Interoperability of Things” for the Internet of Things

San Francisco, CA — April 28, 2015 — Talksum Inc., a leader in high-speed data processing and management solutions, today announced its Embedded Talksum Data Stream Router (eTDSR) solution. The eTDSR acts upon incoming events from IoT devices, provides real-time mixed-signal analysis of the data at the remote sites (in the field), and then routes it to data centers for further analysis, decisioning, and action.

The eTDSR, which is an extension of the award-winning, hardware-based Talksum Data Stream Router (TDSR), eliminates time delays (i.e., lag) while processing massive amounts of data. Lag can otherwise financially impact enterprises, public utilities, and private entities with delayed reports, missed anomalies, operational inefficiencies, policy and security violations, disaster and recovery costs, and lost opportunities.

The current approach of working with data is to first store it, and then understand it. This approach brings complexity, implementation expense, lack of scalability, and stability concerns. The eTDSR solution overcomes these challenges by flipping the current approach to first understand the data and immediately act upon it in real time, before storing. Logic, therefore, can be applied early in the process so the data can be acted upon in real time.

Market examples include:

  • Energy, including traditional power generation, local power (e.g., solar panels, windmills), smart building systems, and smart meters, where the eTDSR can help with efficiency, anomalies, reports, and billing.
  • Medical, including hospitals, CDC, medical devices, and patients, where the eTDSR can help with life-saving alerts, security, regulatory compliance, and insurance matters.
  • Transportation, including roads, trains, cars, first responders, and drivers, where the eTDSR can be used to handle traffic congestion, collisions, vehicle data, emergency response, roadside assistance, regulatory and government compliance, industry standards, and policy control.

As a complete large-scale solution, the remote-site eTDSR can be combined with the data center level Talksum Data Stream Router (TDSR) to bring real-time decisioning to IoT and Smart Cities.

“The Internet of Things market is estimated to grow to over $7 trillion in 2020, and according to a Gartner report, this enormous increase in IoT will create data center challenges in the areas of security, privacy, consumer and enterprise data, storage management, and data center network bandwidth,” said Alex Varshavsky, founder and CEO of Talksum. “In addition to these future challenges, today’s industry focuses on collecting large amounts of data from IoT devices, storing the data in a cloud, and then attempting to build the correlation of events. In most cases, the map reduction and analytical process times mean the data can only be used for probabilistic and statistical models rather than reflect real-time actionable insights. The eTDSR, in conjunction with the TDSR, overcomes all of these challenges.”

 

About Talksum
Talksum Inc. is a leader in high-speed data processing and management solutions whose mission is to develop new ways of processing, routing, and managing data.

The Talksum Data Stream Router™, or TDSR™, provides a real-time data center product that is perfect for Big Data initiatives that require massive amounts of data processing.

For complete large-scale projects, the TDSR can be combined with the remote-site embedded eTDSR™ to bring efficient, real-time decisioning to the trillion-dollar IoT and Smart Cities markets.

Connect with Talksum via Facebook, Twitter and LinkedIn.

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Press contact:
Talksum Inc.
Barry Strauss
Head of Marketing
barrys@talksum.com
415 590 2147

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