Yes, many business models like lawyers, accountants etc. They will want to automate low profit stuff like bookkeeping etc. and spend time in a billable area.
IoT and "Blockchain" distributed ledger has already merged at IOTA www.iotatoken.com
IoT in case of DDoS and Mirai can be prevented if device credentials aren’t burned into the firmware (immutable). Additionally, supporting firmware updates, disabling administrative accounts, use of firewalls, and/or changing the default password will all improve IoT security and mitigate if not eliminate Mirai and its associated DDoS. Mentioning block chain will not resolve it. There are many simpler alternative solutions.
The idea of have a blockchain of IoT devices across copious different vendors with millions of devices requiring validation, especially at the network layer, is incredibly non-performant and not applicable for a working solution. For example a web cam is not going to download 100s of GB of data to establish and validate blocks per transaction aka network requests. It’s not feasible based on hardware constraints.
Security nonrepudiation and authenticity are already solved via PKI (Public Key Infrastructure). The value add of blockchain is the decentralization of blocks and validation; however, it doesn’t scale and fit into the IoT device domain very easily.
Mr. Banafa, what you are writing is not entirely correct when you say: "One outgrowth of AI was machine learning, in which the computer extracts knowledge through supervised experience." and when you say: "Unlike machine learning, deep learning is mostly unsupervised". So let me clarify it, Deep learning is a sub-area of Machine learning not a separate one, and you can have un-supervised and supervised learning within machine learning without touching Deep learning subset. So they are not different areas within AI as you describe it. But Deep learning lives within Machine learning.
La memoria local debe sólo referirse al funcionamiento interno como corresponde a un elemento de proceso. Para la memoria general debe haber células especializadas en mantener las conexiones vivas, y en enviar lo almacenado en forma de circuito en respuesta a señales exteriores que así lo indiquen. No puede asumirse que toda la masa cerebral tenga una memoria no espacializada y de tipo global.
I believe you are describing Competitive Intelligence rather than Small Data. Am I wrong?
Me ha gustado el artículo, aunque me gustaría llamar la atención sobre el hecho de que el afecto que un humano siente hacia sí mismo, hacia otro humano, un animal de compañía o (pongamos entre otros) el arte, es tan computable o simulado como en una máquina.
Especialmente en el punto «emociones en las máquinas» hablas de que las máquinas sean capaces de simular emociones, mientras que al comienzo del artículo hablas sobre que el estado emocional del usuario 'lo tiene' por así decirlo de manera innata, sin simulación de por medio.
Preguntarse si un dispositivo podrá computar emoción es como dudar que la nuestra sea real, ya que la suya será igual de válida (computada en un material diferente).
Great article! I am very interested in the idea of social monitoring you mentioned in the end, especially the example of affective mirroring. Wondering if there are other resources/articles/videos that you would recommend. Thanks :)
Future of Industrial IoT Market by Technology (Sensors, RFID, Industrial Robotics, 3D Printing, DCS, Condition Monitoring, Smart Meter, Autonomous Haulage System, Yield Monitors, Guidance & Steering, GPS/GNSS), Software, & Geography - Global Forecast to 2020
Great article; a lot of great insights. I would add the following challenges for consideration:
Data quality of sensor and master data, and the need for robust exception handling processes. This includes missing data, data quality indicator flags from sensors. This could be addressed through robust data validation, estimation and editing processes.
The volume of sensor data is placing strain on traditional relational technologies for real-time and historical sensor data to keep up
I find that there are a wide range of NoSQL technologies available to address different use cases, and that using technology optimized for unstructured data for structured data presents significant challenges.
Overall great article.
I would suggest a few additional challenges:
- data quality and handling exception conditions in sensor data (eg, missing data, data quality flags) through validation and estimation processes, and ensuring master data is synchronized across systems
- the volume of sensor data is placing strain on traditional relational technologies for real-time and historical sensor data to keep up
- I find that there are a wide range of NoSQL technologies available to address different use cases, and that using technology optimized for unstructured data for structured data has significant challenges
I think Quantum Computing can at best be an approximation to the quantum reality. Since by default the act of computing is a kind of "observation" (actually a continuous kind of observation) the superposition feature won't be applicable. If entanglement is achieved in sustainable form during the computation then QC won't be more than super-speedy (instant) processing of information which would gain QC based technologies incredible advantages but without real harnessing of the superposition side.
"If you think you understand quantum mechanics, you don't understand quantum mechanics." - Richard Feynman
To put it VERY bluntly, these particles can exist in either state until they are observed. When they are observed, they take either the value of 1 or 0. Measuring the superstate of these particles makes it so that the particle observed loses its superposition (since superposition cannot be measured, although it still happens). Therefore, instead of measuring the state of a qubit, quantum computing builds systems of interactions between these particles that solve specific logic operations to give a result to a computational problem, so that the answer to these computational problems can be observed.(meaning that the system poops out a result and what's inside the system cannot be interacted with)
A good overview of the complexities and risk associated with implementing and securing a 'IoT' infrastructure. The concept of 'IoT' as system-to-system architecture is right on.
Completamente seguro es dudoso también. Por lo menos para siempre. Ya habrá investigadores que estudien el descifrado / decriptado cuántico, "hackeo".
Good article. One look at an AWS management console and a person quickly realizes that using a good cloud strategy can solve many of the IT challenges companies face today. http://vmboomerang.com/posts/boomerang/amazon-aws-hp-helion-and-jeb-bush/
Good points. Agree on most, just let me add that IoT is an example of what Hal Varian call combinatorial innovation. IoT is the evolution (maturity) of M2M. A big step ahead in the software architecture with the appearance of, what I call, the IoT Operating System. A loosely coupled layered and containerized architecture, based around industry standards, that allows an easy way to program and control a large and sophisticated network of heterogeneous smart things on a Public or Private Cloud or on Premise.
Was this written 5-10 years ago? Seems very out-of-date and vastly oversimplified.
Great perceptive. thank you. I will print and share this as I am changing careers to join a well known iOT company who is putting tremendous energy into expanding the industrial internet.
Very interesting article!!! About IoT (Internet of Things) and how it will change our world!!!
La tecnología empieza a converger con la biología, bigdata y adn, organización y enjambre, analytics y selección natural, Internet como organismo vivo.
Very interesting article about the evolution of the Internet, to the Industrial Internet, wearables, sensors and Big Data Analytics!!!
Muy interesante. Creo que como siempre es el Derecho el que llega tarde a regular estas nuevas manifestaciones que afectan las relaciones entre las personas, como objeto central de la ciencia jurídica.
Muy interesante! Gracias por el post.
Os recomiendo este podcast acerca de "la nube"