The scope and scale of analytics is ever widening with the latent manifestation of emergent properties in data at rest and data in motion.
Following diagram from MIT Technology Review article on the emerging technology trends summarises the perimeters of applying analytics for the lifecycle of digital interactions, processes and things.
Analytics for monitoring could be applied at a systemic scale and dimension when it is for a business problem at scale. Analytics for monitoring could be relevant and suitable for microscopic interactions and control when it is applied for fast data and small data related problems. Both system analytics and control analytics are intuitive and non-interpretative in nature.
Predictive and process analytics are dynamic and interpretive in nature as it analytics is the input to a logic constructed priori. The scale and scope of context varies in process and predictive analysis methods. Process analytics is mostly prescriptive and descriptive in nature whereas predictive analytics is exploratory and ephemeral in nature.
Blockchain Scalability techniques and the scale cube metrics has made my Saturday morning live and loud ! I had the pleasure and privilege to take a live streaming webinar session on Blockchain Scalability – Architectures and Algorithms for the TechAthena community founded by technology leaders Shalaka Verma and Deepthi Annie.
During the initial interaction itself TechAthena community set their expectations clear. They are looking for a session on Blockchain technology beyond a product pitch or a corporate narrative. Hence I did a deep dive on Blockchain Scalability techniques from the vantage point of defining scalability of distributed systems with a specific focus on decentralised scaling.
I could lay out the most prominent Blockchain scalability techniques such as StateChannels, Sidechains, Offchain computation, Sharding, Replicated State Machines, Directed Acyclic Graphs, Gossip Protocols, variants of voting consensus algorithms, vertical and horizontal scaling etc. My presentation from this session is uploaded to SlideShare for further reviews and references. Request your thought and views.
During my preparations for the webinar, I could realise that fundamental postulates such as CAP theorem, Partial Synchronous processors etc. lay at the bottom of the Blockchain Scalability Constraints. It was a clear realisation that Consensus algorithms are not the bottlenecks in Blockchain scalability. Blockchain Trilemma coined by Vitalik Buterin underlined the need for factoring in Scalability trade offs in conjunction with decentralisation and security. I could easily comprehend the fact that in the contours of Blockchain, Decentralisation, Transparency and Scalability are the most important notions.
For a Blockchain evangelist, security and privacy gets redefined within the terrains of transparency. It is quite an interesting dimension. I could also connect with the scale cube defined in the book ‘Art of Scalability’ along with the Blockchain Scalability Trilemma and CAP theorem.
All together it was a great beginning to the weekend together with a network of hundred plus Blockchain evangelists. Thank you TechAthena community once again ! You can find the YouTube recording of the Webinar in the following channel. Request your views and thoughts.
We could see the confluence of machine learning, data science, IOT, Mixed Reality, Gesture Computing, Clean Tech, cognitive computing, natural language processing, enterprise mobility, social networks, digital marketing and so much more. Students from Engineering colleges across the length and breadth of Kerala flocked in this event, from Kerala University, KTU, CUSAT and MG University ! A well spend weekend with future sparks !! Hats off to Team #MBCET + Team #Bhub.
I had a curious conversation with Channel I’M / Channeliam on #Bitcoin investment and trading strategies for 2018. Never knew it will be a precursor to such an interesting time for bitcoin signals and global market economy as a whole. Interesting times indeed! There are ongoing debates about considering Bitcoin as a currency, commodity, and trading instrument for futures.
Is bitcoin a conventional currency ? no, it is not. It is a digital currency produced by the intellectual labor of a decentralised and self organised collective. Is it a conventional commodity ? no, it is not. It is a digital asset build from a social network of conventional commodities.
At the moment, global market economy is ever more interested in the #bitcoin signals as the correlation between conventional stocks and bitcoin is getting very close. Following articles in global financial journals and magazines are loud testimonials to this pulse.
It is loud and clear. Bitcoin has become the most dynamic and most social and most evolutionary financial machinery human kind has ever created. It has created a trust machine so massive that we have started using supercomputers to mine and monetise it.
Write ups about Quantum Computing is creating ripples in and around our technology communities for sometime now. Every week we are hearing that research divisions in Universities and leading Technology giants are building quantum computers in search of ‘Quantum Supremacy’. While this race is on the course, I must say that this trend is defining a major turn around for the upcoming generations. Data Structures will diffuse into thousands of energy structures such as the combinations of entropy, noise, mechanics, diffusion, reflection, interpolation, convergence, radiance, fractals. etc. Information will become isomorphic to experiences and hence it will be emergence of digital consciousness in its polymorphic manifestations.
The world is gradually transitioning from information society towards natural society through the sands of time. It may take a while since we are in the midst of another journey. We are consciously cultivating a machine learning driven syntellectic age of converging intelligence categories. Cognitive Informatics experts were critical about the undue importance given to artificial intelligence since the advent of the hype around AI and Deep learning. Pursuit for machine intelligence and the synthesis of human intelligence with artificial intelligence and machine consciousness has taken us into the warps of convoluted theories.
Quantum Computing is taking us back to ground zero. Nature has quite a lot of bewildering possibilities and permutations left in its array of knowledge. From weather patterns to image structures, quantum computers can make our measurements and experiences more precise and contemplative. We have to get back to our physical laboratories and start experimenting with fertile materials and their infinite properties and behaviors. This article is just a brief post to mention that physical world is still far more diverse and versatile ground for computational experiments.