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Intelligent Transportation Ecosystem

IoT, ITS, and the Talksum Ecosystem

Dale Russell, CTO, Talksum, San Jose

 

We’ve been hearing a lot about of Internet of Things (IoT) for the last decade. IoT is coming, IoT is here, IoT and Big Data…

 

Many of the people talking about IoT are from the computer industry. They’re selling us on a new market valued around $1.7 Trillion in 2020. While convincing us to invest in the IoT sector they will then point to a repackaging of a computer or data center solution. You can buy several brands of set top-media players listed as an IoT device. Upon further inspection they’re a small computer with a HDMI connector and a wireless network card connecting to a web service. Smart watches are but Bluetooth devices for your smart phone; a computer accessory. We have gone from Internet Hosting, Web Services, Cloud Services, and now IoT by  just a release of smaller computers and distributed web services?

 

That’s beginning to change and the consumers will be driving the market so to speak. We want self-driving smart cars! Automobile manufactures old and new are all working on developing self-driving modules, most governments want Intelligent Transportation Systems (ITS), and we as the consumer want gadgets!

 

What gadget is cooler than self-driving cars?

 

The consumer’s desire is to also bring infotainment and entertainment, social groups, smart devices, as well as personal data contracts and other services along for the ride. When you combine all the wants of the consumer we have the beginning of the Digital Transportation Eratm. We want self driving cars, traffic re-routing for first responders, reduced traffic congestion, quieter roads, and cleaner air. With all of these wonderful goals the automobile has become the consumers’ mobile data center bringing all of the same security concerns as an internet data center and many more. Automobile manufacturers, government and regulatory bodies, insurance and telematics services, and internet media providers all bring their own protocols into this new mobile data center. The new Smart Car will need to be considered part of the larger ITS and IoT clouds.

Intelligent Transportation Ecosystem

To meet the challenges of the Digital Transportation Eratm the vehicle needs to be an integral part of these new ecosystems. The Intelligent Transportation Systems will include new networks, data management, and new standards and protocols such as: Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Signal Phase and Timing (SPaT), and many yet to be legislated. These signals must be introduced in a manner that ensures validity and security to protect against DDoS attacks against these public networks. The introduction of Internet Services, Fleet Management, Insurance, and Telematics into this mobile data cloud also requires that firewalls and gateways are needed to ensure that the automobile is securely protected.

 

Automobiles already generate large streams of data from in-vehicle busses measured in gigabytes an hour. The additional radios, GPS, mobile carriers, infotainment systems, and self-driving systems will make data management and security to this new mobile cloud platform a must.

 

Some of the Challenges:

 

  • Cybersecurity Protection from DDoS, Man in the Middle, and other Internet Attacks
  • Real-time Validation and Insights from these Data Streams
  • Normalization of Standards and Protocols (CAN, LIN, I2C, WAVE, OpenXC, ASN.1…)
  • Extensible Design for Future Standards and Protocols (NHTSA)
  • Regulation Compliance

 

At Talksum we deliver a real-time scalable ecosystem that answers these concerns. Talksum is a Data Routing Engine that is deliverable as a Data Center solution, as a Virtual Router for Cloud deployment, as well as Embedded on select ARM, AARCH64, and customers’ boards. The Talksum product family provides a scalable and holistic ecosystem from the Dashboard to the Data Center.

 

We will be presenting this spring and summer at several conferences where will be discussing the Talksum Ecosystem. Until then follow this blog as next we will discuss the overlaps of the above networks and ecosystem requirements.

Talksum to Present at the Big Data Innovation Summit 2015

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

I’m excited to announce that Talksum will be presenting, along with other Big Data leaders such as Google, IBM, Hortonworks, GE, Walmart, and others at this year’s Big Data Innovation Summit, which will be held at the San Jose Convention Center, San Jose, CA, on April 28-29, 2015.

At the Summit, Talksum CTO Dale Russell will be presenting at 2:30 pm on Day 2, in the Data Architecture track, about the dilemma enterprises are facing today with the Internet of Things (IoT) and the ridiculously large and exponentially growing amount of data that comes with it. As part of this, he will probe how enterprises will handle the consequential increasing amount of data ingestion, data storage, and data analytics.

blog_bdis_predictive-dataIn the presentation, attendees will see how a ‘turn-key’ data science solution can be applied to embedded devices as well as to the IoT deployments of devices to handle the Big Data challenges of today and tomorrow.

Session attendees will be shown application data routing functions and both machine and mixed-signal analysis solutions.

The purpose of the session is to show attendees insight into a solution designed to allow society to solve the immediate problem of Big Data and also to enable the growth of data and knowledge transfer in the future.

In addition to the speaking slot, we will be showcasing our products that, together, bring real-time decisioning to IoT and Smart Cities.

If you are interested, be sure to come to the presentation and/or stop by our booth to learn more about the Talksum solution and how it can help your organization. If you can’t make the event and would like more information, fill out our contact form and we will get back to you as soon as possible.

See you soon in San Jose.

Click here for more information about Talksum products.

 

Data Science as a Solution

Dale Russell, Talksum CTODale Russell, CTO, Talksum

As our understanding of data science problems evolves, we find that effective solutions apply a systematic approach to testing, measuring, and building knowledge of the whole data system. In order to effectively and efficiently create this holistic view of data, first consider the entirety of the data landscape from Infrastructure to Layer 7. A comprehensive data science solution should not have biased access to data from any one layer more than another. When architecting a solution, keep in mind that business requirements will change, message types and objects will change, and the volume of data from various OSI layers will change, especially as the Internet of Things (IoT) becomes more of a reality.

To best deal with an ever-changing data landscape, follow this important principle: Never leave work for a downstream process. Datasets will continue to grow in volume and diversity, and solutions will be expected to take less time to process data or make it actionable. Store-and-sort is a costly strategy regardless of who owns the infrastructure. We found the best approach is to sort first, then store.

Over the last 15 years, exceptional and innovative storage solutions have been developed utilizing distributed software and socket libraries and advanced cloud services. These come with substantial performance increases, benefiting data center environments where concerns about latency, growing storage, or increased demand for analytics on datasets arise. As innovations in this sector brings more data into your landscape, you can enable great data science by taking a broader approach.

While some solutions focus on a subset of problems, a great data science solution deals with the entirety of information across the data landscape. In working with our customers and partners, we found that any acceptable solution must not only accommodate changing data requirements, it must do so in a manner that maintains the highest level of data fidelity. If new analytical processes are created, the solution should easily direct the correct data streams to new processes without a lot of work for your team.

A proper data science solution empowers the organization to focus on asking forward-looking questions of their data, not requiring them to constantly invest time searching for new data solutions every time the data landscape changes (as it will continue to do).

 

 

Thoughts About Building the TDSR, Book Recommendations, and More …

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

Recently, Anmol Rajpurohit (@hey_anmol) from KDnuggets and our CTO Dale Russell discussed the challenges in building the TDSR (Talksum Data Stream Router), current trends in real-time analytics, advice for data science aspirants, and more. They even touched upon book recommendations! It turned out to be a fun and engaging discussion between them.

Talksum Interview With KDnuggetsInstead of reiterating their conversation, here are the questions asked by Anmol:

  • What were the biggest challenges that you had to overcome while building the Talksum Data Stream solution? Were there any interesting observations during the solution development that significantly impacted your solution design/architecture?
  • What motivated you to switch your career from applied engineering and operations management to large-scale data management? How did you get involved with Talksum?
  • Which of the current trends in real-time analytics are of the most interest to you? How do you see things changing in next few years?
  • Based on your experience, what advice would you offer to people aspiring a long-term career in data science?
  • On a personal note, are there any good books that you have been reading lately and would like to recommend?

To view Dale’s answers to Anmol’s questions, click here.

Those thoughts made up the second segment of a 2-part interview, which stemmed from the Big Data Innovation Summit, Santa Clara, CA, where Talksum won the Big Data Start Up Award. In the first segment, Anmol and Dale discussed the award, as well as the TDSR and cross-domain networking using data stream. The following topics were covered:

  • What factors played a major role in helping Talksum beat the competition in the race for the Big Data Start Up Award?
  • What is the market need for “cross-domain networking with real-time data management using data streams? What inspired you to focus on this market need and fill it with an innovative solution?
  • What would you consider as the top three features of the Talksum Data Stream Router? What is the next set of capabilities that you are working on?

To view the answers to these questions, click here.

Click here for more information about the Big Data Start Up Award.

Click here to view an infographic of the Talksum solution.

 

Talksum Wins “Big Data Start Up Award” at the Big Data Innovation Summit

Alex VarshavskyAlex Varshavsky, CEO, Talksum

We just got back from the 2014 Big Data Innovation Summit, which took place in Santa Clara, CA, and we are so thrilled for three reasons. First of all, we showed the disruptive Talksum Data Stream Router in our booth, which got many of the 1,000 attendees extremely excited to actually see a hardware, contextual router solution for the Big Data Market. Secondly, CTO Dale Russell spoke to a full, focused audience about a topic dear to our hearts – Real-Time, Cross-Domain Data Management for Big Data Analytics Systems. And thirdly, we won the “Big Data Start Up Award!”

Talksum Wins the Big Data Start Up Award

Only three awards were given at the Summit. We were humbled to be in the same ranks as Cray’s YarcData, which won the Big Data Tech Provider Award, and Cisco, which won the Big Data Project Award.

Past winners included Hortonworks, Pinterest, MapR Technologies, Deutsche Bank, and other well-known, successful companies.

According to the Summit organizers, the three awards acknowledge organizations that have pioneered Big Data initiatives, which have, or will have, an overall positive impact within the Big Data community. The organizers stated that the stories of success and the achievement from organizations within the Big Data community deserve recognition, and the awards program is central to this process. They go on to say that it is about the organizations, their teams, and the individuals who make Big Data what it is today.

With those thoughts in mind, I can’t begin to explain my appreciation for the entire Talksum team for making our product what it is today, and what it will mean for the future of Big Data.

Thank you to everyone at Talksum, and to those who support and believe in Talksum.