IOTA – The Potential to Drive Data Science for IoT IOTA – The Potential to Drive Data Science for IoT
I have a close circle of clued-on/tech savvy friends whose views I take seriously. For the last few weeks, one of... IOTA – The Potential to Drive Data Science for IoT

I have a close circle of clued-on/tech savvy friends whose views I take seriously. For the last few weeks, one of these friends has been sending me emails extolling the merits of something called IOTA – which calls itself as the next generation Blockchain.  At first, I thought of IOTA as yet another cryptocurrency. A whole flock of people are rebranding themselves as Bitcoin/ Blockchain / ICO experts and spamming me! So, I was initially sceptical of something that can be the ‘next generation blockchain’. But some more investigation over the holiday season has convinced me that IOTA could be a game changer. In this post, I explore the significance of IOTA and its implications for IoT analytics.

I explore such concepts in my course  Implementing Enterprise AI course using TensorFlow and Keras

I plan to also explore IOTA in my course @Oxford University Data Science for Internet of Things @Oxford University


What is (and what is not) IOTA

Before we proceed, this discussion is not about Bitcoin. I am not an expert on Bitcoin. For a discussion on Bitcoin, see what is bitcoin and why it matters from MIT tech review. IOTA is a cryptocurrency. But I am not an expert on cryptocurrencies either (ex the factors driving the price of the currency).  I am more interested in the problem IOTA solves and it’s disruptive potential – especially for IoT. To understand the disruptive potential of IOTA, we first need to understand what IOTA is (and what it is not).

Like blockchain, IOTA is a distributed ledger technology – but it aims to go beyond  blockchain. Bitcoin uses blockchain technology and a distributed ledger system to conduct transactions. But IOTA does not use Blockchain. Instead it uses something called the Tangle distributed Ledger which comprises of directed acyclic graphs, or DAGs. The activity of users of the system propagates the Tangle distributed ledger. This does not need fees, miners or creation of new tokens. In contrast, to propagate the Bitcoin ledger, miners need to perform computational work (or pay for previously mined Bitcoins).

Also, Bitcoin has a scalability problem because as more people start to use the system, it gets slower and it costs higher to process a transaction.  In contrast, the cost of using the IOTA ledger(Tangle) is the cost of the user’s computational effort to verify two randomly selected existing prior tangle ledger sites (transactions).

Source: IOTA-Whitepaper The main point is: “Every new transaction must approve two other transactions.” In this sense, IOTA is an attempt to potentially create a superior cryptocurrency platform by overcoming the limitations of Blockchain.

What problem does IOTA solve and why does that matter

If all IOTA created was a ‘better blockchain’ It would be interesting but not disruptive. But IOTA can be really disruptive with IoT. For example, an IoT sensor in a car could retrieve data from the factory automatically. IoT devices can connect and transact with each other in a peer to peer mode.  Potentially, it could help 50 billion devices to connect.  IOTA is getting traction(despite some recent hiccups). The IOTA Foundation announced that Robert Bosch Venture Capital GmbH (RBVC) — the corporate venture capital company of the Bosch Group — has purchased a significant number of IOTA tokens. Dr. Hongquan Jiang, partner at RBVC, will also join the IOTA Foundation’s advisory board. The core feature of IOTA is the ability ford devices  to transfer data through the Tangle. With recent extensions to the Core, IOTA can even operate in ‘one to many’ mode i.e. the ability to broadcast messages to devices.

What is the implication of IOTA for Data Science for IoT

The ability to manage and share data securely has profound implications for next generation IoT applications such as self driving cars, Drones etc. Such devices would need to collaborate within peers. A leasing model for devices could arise instead of an ownership model. That leasing/ collaboration model could also extend to data arising from IoT devices. Furthermore, interaction between devices can happen autonomously. IOTA could thus be the backbone for IoT applications.

If “Data is the next Oil” makes you cringe .. this is for you

The term ‘Data is the next Oil’ often makes me cringe .. because it’s your data and their Oil! But for a long time, there was not much you could do about it. At least for sensor data, IOTA offers a potentally disruptive way out and yet help to foster an ecosystem.  If you want to work with me on ideas such as this, I explore such concepts in my course  Implementing Enterprise AI course using TensorFlow and Keras

Comment and Disclosure

a)  The post is narrowly confined to the potential of IOTA for IoT and DataScience for IoT

b)  I do not claim any expertise or knowledge of IOTA as a cryptocurrency

c)  The cryptographic security discussions re IOTA are also not in scope (and I am not an expert on this)

d)  I do not hold any IOTA currency at the time of writing



Original Source

Ajit Jaokar

Ajit Jaokar

My work spans research, entrepreneurship and academia relating to AI, IoT, predictive analytics and Mobility. My teaching / research includes: a) Oxford University: A course on Data Science for IoT. This includes Time series, sensor fusion and deep learning. b) I am also the Director of the newly founded AI/Deep Learning labs for Future cities at UPM (University of Madrid) I publish extensively on KDnuggets and Data Science Central My latest consulting roles include a) AI Designer/architect using h2o.ai and b) Using Tensorflow based on sentiment analysis and LSTM networks My new book is included as a course book at Stanford University for Data Science for Internet of Things. I was recentlty included in top 16 influencers (Data Science Central), Top 100 blogs( KDnuggets), Top 50 (IoT central), No 19 among top 50 twitter IOT influencers (IoT institute) I have been involved with various Mobile / Telecoms / IoT projects since 1999 ranging from strategic analysis, Development, research, consultancy and project management. In 2009, I was nominated to the World Economic Forum’s ‘Future of the Internet’ council.In 2016 I was involved in a WEF council for systemic risk(IoT, Drones etc) . I have worked with cities like Amsterdam and Liverpool on Smart city projects at Mayoral level advisory roles. I have been involved in IOT based roles for the webinos project (Fp7 project). Since May 2005, I founded the OpenGardens blog which is widely respected in the industry. I have spoken at MobileWorld Congress (4 times) ,CTIA, CEBIT, Web20 expo, European Parliament, Stanford University, MIT Sloan, Fraunhofer FOKUS;Uni - St. Gallen. I have been involved in transatlantic technology policy discussions. I am also passionate about teaching Data Science to young people through Space Exploration working with Ardusat I live in London and am a British citizen