Cognitive Computing

The aim of cognitive computing is to mimic human thought processes in a computerized model. Using self-learning cognitive algorithms that use data mining, machine learning, pattern recognition, and natural language processing, the computer can imitate the way the human brain works.
Cognitive systems analyze the huge amount of data which is created by connected devices (not just the Internet Of Things) with diagnostic, predictive and prescriptive analytics tools which observe, learn and offer insights, suggestions and even automated actions.
Cognitive Computing and Machine learning addresses the challenge of passing the boundary of traditional data analytics algorithms, which spotlights the development of swift efficient cognitive algorithms.
These cognitive or machine learning algorithms enable real-time processing of huge volume of data, deliver precise predictions of various types such as recommending right products, customer segmentation, detecting fraud and risks, customer retention etc. Cognitive Computing and Machine learning supports these functions by creating a set of cognitive or machine learning algorithms that differ from the traditional statistical techniques. The emphasis is on real-time and highly scalable predictive/cognitive models, using fully automated methods that make data scientist tasks easier.
http://www.cognub.com/

Blockchain

Probably the most disruptive technology for the near future in which keeping the tempo (not resisting it) is a crucial task of every company and institution (think of the actual Banks for instance). What is blockchain? A block is simply a list of payments. A block chain is a list of blocks, each one referring back to the one that went before. However, when people talk about the block chain, they tend to mean the collection of technologies and techniques that underpin the Bitcoin system, which other projects have used as inspiration because they solve unrelated problems in finance and elsewhere.

Blockchain Applications

Cybersecurity: Guardtime, REMME

Healthcare: Gem, SimplyVital Health, MedRec

Financial: ABRA, Bank Hapoalim, Barclays, Maersk, Aeternity, Augur

Manufacturing: Provenance, Jicoin, Hijiro, SKUChain, Blockverify, Transactivgrid, STORJ.io

Government: Dubai blockchain powered state, Estonia, South Korea, Govcoin, Democracy.earth, Followmyvote.com

Charity: Bitgive

Retail: OpenBazaar, Loyyal, Blockpoint.io

Real Estate: Ubiquity

Transport and Tourism: IBM, Arcade City, La’Zooz, Webjet

Media: Kodak, Ujomusic, Bernard Marr

Blockchain powered with AI:┬áMirocana is a complex predicting system based on deep-learning neural nets that collect, store and analyze huge volumes of financial data. We created three investment products based on system’s predictions for stock, currency and crypto-currency markets. Access to these products is restricted by number of tokens on a customer’s account.

Production Support with AI

In the industrial sector, AI application is supported by the increasing adoption of devices and sensors connected through the Internet of Things (IoT). Production machines, vehicles, or devices carried by human workers generate enormous amounts of data. AI enables the use of such data for highly value-adding tasks such as predictive maintenance or performance optimization at unprecedented levels of accuracy. Hence, the combination of IoT and AI is expected to kick off the next wave of performance improvements, especially in the industrial sector. AI-equipped controllers are meant to immediately detect signs of equipment irregularity by monitoring the status of equipment and processes and assure product quality.