Home / Blockchain / How to drive emerging technology, such as social media, wearable devices, IoT, AI, Analytics, Crypto and Blockchain

How to drive emerging technology, such as social media, wearable devices, IoT, AI, Analytics, Crypto and Blockchain

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Exhibition of advanced technologies (CEATEC) in Chiba, Japan. Noriko Hayashi / Bloomberg&copy; 2018 Bloomberg Finance LP

Here is the list of technologies that everyone should monitor and test:& Nbsp;

  • Cloud computing
  • Location-based services
  • Increased, virtual and amp; Mixed reality
  • Social media analytics
  • Wearable technology
  • The Internet of Things
  • AI / automatic learning
  • Enhanced analytics
  • cryptocurrency
  • Blockchain

In October, I focused on:

  • Cloud computing
  • Location-based services
  • Increased, virtual and amp; Mixed reality

The focus here is on all the other technologies and on the process of piloting these and other emerging technologies.

pilotage

Five simple steps:

  1. Describe the emerging technology with reference to the business impact
  2. Address the potential impact on specific business models and amp; Process
  3. Identify the sponsors (w / resources) at the sample pilot demonstrations
  4. Develop pilot project plans (with empirical impact metrics)
  5. Pilot

Social media analytics & Nbsp;

Analysis of social media& Nbsp;"It is the process of collecting data from interested parties & Nbsp;conversations on& Nbsp;digital media& Nbsp;and processing in structured analyzes that lead to more driven information& Nbsp;business decisions& Nbsp;and greater customer centrality for& Nbsp;Marche& Nbsp;and businesses … there are three main steps in social media analysis: data identification,& Nbsp;data analysis and interpretation of information. "& nbsp;Social media analysis affects a wide range of products and services, including customer satisfaction, brand management, innovation, competitive analysis, and customer acquisition, among all the processes in which the market, competition and customer knowledge could be exploited. & Nbsp; Impact can be measured in a number of pilots, but – as always – pilots need funding and sponsorships – and influence the metrics displayed in the dashboards that make it easy to see the position and the entity of the team. ;impact. & Nbsp;& Nbsp;

Wearable technology

"Wearable technology& Nbsp;it is a general term for electronics that can be worn on the body, either as an accessory or as part of the material used in clothing. There are many types of wearable technology, but some of the most popular devices are activity trackers and smartwatches. One of the main characteristics of wearable technology is its ability to connect to the Internet, allowing the exchange of data between a network and the device. & Nbsp; This ability to send and receive data & nbsp; has pushed wearable technology to the forefront of the& Nbsp;Internet of Things (IoT)". & Nbsp;

The impact of wearable technology can be defined in at least two main ways.& Nbsp;Some companies (1) create wearable technologies and some (2) apply wearable technology to their products and services in, for example, clothing, smart watches, trackers, shoes and other external or implanted wearable devices that can improve, extend, modify for replace the functionality of existing products and services.& Nbsp;The assumptions (which define the pilot project plan) should be developed to measure the impact of wearable technologies that can be economically advantageous, competitive and deployable in these two impact areas.

The Internet of Things (IoT)

"The Internet of Things (IoT)& Nbsp;refers to a network & nbsp; composed of physical objects able to collect and share electronic information. & Nbsp;The Internet of Things includes a wide variety of "intelligent" devices, from industrial machines that transmit data on the production process to sensors that track information about the human body. Often these devices use the Internet protocol (IP), the same protocol that identifies computers on the world wide web and allows them to communicate with each other.& Nbsp;The objective of the Internet of Things is to have devices that self-report in real time, improving efficiency and bringing important information to the surface more quickly than a system that depends on human intervention. . "& Nbsp;

IoT is designed to extract data from a process, device or human being to make an "intelligent" process or to solve specific problems.& Nbsp;The potential impact should be measured against a specific set Smart & nbsp;targets.& Nbsp;The IoT will enable smart buildings, smart cities, smart grids, smart clothing and practically every thing and process imaginable.& Nbsp;The IoT allows quantitative-empirical empirical measures that can be evaluated and validated.& Nbsp;

Artificial Intelligence / Automatic Learning

"Artificial intelligence (AI) is a term for simulated intelligence in machines … the ideal feature of artificial intelligence is its ability to rationalize and undertake actions that have the best chances of achieving a specific goal … based on & # 39; idea that human intelligence can be defined in such precise terms that a machine can imitate it … (applied to) learning, reasoning & nbsp; and perception … (through) an interdisciplinary approach based on mathematics, computer science, linguistics, psychology & nbsp; and more. "& nbsp;"The automatic learning is& Nbsp;the & nbsp; concept that a computer program can learn and adapt to new data without human interference. & nbsp; Machine Learning is a field of& Nbsp;artificial intelligence (AI)& Nbsp;one maintains the built-in algorithms of a current computer … various sectors of the economy have to deal with huge amounts of data available in formats other than disparate sources … the huge amount of data, known as big data, it is becoming easily available and accessible thanks to the progressive use of technology … when new or additional data become available, the algorithm automatically adjusts the parameters to check for any pattern changes. "

Artificial intelligence is unique because it learns and self-replicates.& Nbsp;There is a good-faith arms race among investors& Nbsp;in AI.& Nbsp;The range of applications is staggering, including all the vertical industries and almost all the business functions and processes that support them.& Nbsp;The influence will profoundly affect health care, transportation, accounting, finance, production, customer service, aviation, education, sales, marketing, law , entertainment, media, security, negotiations, war and peace.& Nbsp;The impact of AI / ML can be measured in a series of pilots designed to expand and deepen its role in all business models and processes. & Nbsp; As always, pilots need funding and sponsorships.& Nbsp;

Enhanced analytics

"Analytics increased & nbsp;automates data analysis using automatic learning and natural language processing for automation& Nbsp;data preparation& Nbsp;and enable data sharing.& Nbsp;This advanced use, manipulation and presentation of data simplify data to present clear results and provide access to sophisticated tools so that business users can make everyday decisions with confidence. Users can go beyond opinion and prejudice to get real information and act on data quickly and accurately. "& Nbsp;

Increased analysis is based on existing investments in analyzes that fall into one of four categories: & nbsp; description, explanation, prediction and prescription. & Nbsp; The impact should be focused on these areas.& Nbsp;It must be assumed that companies are already experimenting with methods, tools and analysis techniques in one of the main application areas (description, explanation, prediction or prescription).& Nbsp;As always, pilots need funding and sponsorships.& Nbsp; AI / ML and increased analysis are closely related.& Nbsp;Increased analysis is a "horizontal" area of ​​application for AI / ML, so pilots in one area can have an impact on the other.& Nbsp;

Blockchain

According to Francois Zaninotto, & Nbsp;"a blockchain is a & nbsp;ledger& Nbsp; of & nbsp;facts, replicated on multiple computers assembled in a peer-to-peer network. The facts can be anything from monetary transactions to signing the content. Network members are anonymous people called & nbsp;knots. All communications within the network exploit cryptography to securely identify the sender and recipient. When a node wants to add a fact to the ledger, a consensus is formed in the network to determine where this fact should appear in the ledger; this consent is called a & nbsp;to block… to blockchain allows you to securely share and / or process data between multiple parties on a network of untrusted peers. Data can be anything, but the most interesting uses are the information that currently requires the exchange of a trusted third party. "& Nbsp;

Some of the most important areas of application include financial services (such as asset management, cross-border payments, insurance claims processing and smart contracts). Blockchains can be threatening because by their nature they disturb transaction architectures.& Nbsp;They do this by disintermediating trusted third parties – like banks.& Nbsp;As a result, sponsors of pilot projects may be somewhat more difficult to find than sponsors of other emerging technologies.& Nbsp;

cryptocurrency

& Nbsp;James Royal explains the cryptocurrency in this way:& Nbsp;"Cryptocurrency is a form of payment that can be exchanged online for goods and services … cryptocurrencies work using a technology called blockchain … a decentralized technology spread across many computers that manage and record transactions.& Nbsp;Part of the appeal of this technology is its security … proponents see cryptocurrencies as bitcoins as currency of the future and they are rushing to buy them now before they become more widespread and presumably more valuable … some advocates like the fact that cryptocurrency removes the central banks from the management of the money supply, since over time these banks tend to reduce the value of money through inflation … other advocates like the technology behind the cryptocurrencies, the blockchain, because it is a decentralized processing and recording system and can be more secure than traditional payment systems … others still love the anonymity of the blockchain network, which allows transactions outside governmental surveillance, including criminal activities. "& Nbsp;

The pilots here are challenging as they could threaten the existing transaction processes.& Nbsp;Alternative currencies threaten many acquired financial interests. & Nbsp; Pilots therefore need special sponsorships.& Nbsp;The impact may not be what is expected or desired.& Nbsp;

Here it is:& Nbsp; a simple list and methodology. & nbsp;The key is to understand where technologies can affect business processes, products and services. This should be a continuous process, not something that addresses the end of the year or any other quarter. The lists will& nbsp; change and your requirements will modify. Rest assured that your competition will drive these and other emerging technologies. If you lose this battle, you could lose the war. & Nbsp;

">

Exhibition of advanced technologies (CEATEC) in Chiba, Japan. Noriko Hayashi / Bloomberg© 2018 Bloomberg Finance LP

Here is the list of technologies that everyone should monitor and test:

  • Cloud computing
  • Location-based services
  • Augmented, virtual and mixed reality
  • Social media analytics
  • Wearable technology
  • The Internet of Things
  • AI / automatic learning
  • Enhanced analytics
  • cryptocurrency
  • Blockchain

In October, I focused on:

  • Cloud computing
  • Location-based services
  • Augmented, virtual and mixed reality

The focus here is on all the other technologies and on the process of piloting these and other emerging technologies.

pilotage

Five simple steps:

  1. Describe the emerging technology with reference to the business impact
  2. Address the potential impact on specific business models and processes
  3. Identify the sponsors (w / resources) at the sample pilot demonstrations
  4. Develop pilot project plans (with empirical impact metrics)
  5. Pilot

Social media analytics

Analysis of social media "It is the process of collecting data from interested parties conversations on digital media and processing in structured analyzes that lead to more driven information business decisions and greater customer centrality for Marche and businesses … there are three main steps in social media analysis: data identification, data analysis and interpretation of information. " The analysis of social media affects a wide range of products and services, including customer satisfaction, brand management, innovation, competitive analysis, and more. acquisition of customers, among all the processes in which the market, competition and customer information could be exploited. Impact can be measured in a number of pilots, but – as always – pilots need funding and sponsorships – and influence the metrics displayed in the dashboards that make it easy to see the position and the entity of the team. ;impact.

Wearable technology

"Wearable technology it is a general term for electronics that can be worn on the body, either as an accessory or as part of the material used in clothing. There are many types of wearable technology, but some of the most popular devices are activity trackers and smartwatches. One of the main characteristics of wearable technology is its ability to connect to the Internet, allowing the exchange of data between a network and the device. This ability to send and receive data has has pushed wearable technology to the forefront of the Internet of Things (IoT)".

The impact of wearable technology can be defined in at least two main ways. Some companies (1) create wearable technologies and some (2) apply wearable technology to their products and services in, for example, clothing, smart watches, trackers, shoes and other external or implanted wearable devices that can improve, extend, modify for replace the functionality of existing products and services. The assumptions (which define the pilot project plan) should be developed to measure the impact of wearable technologies that can be economically advantageous, competitive and deployable in these two impact areas.

The Internet of Things (IoT)

"The Internet of Things (IoT) refers to a network composed of physical objects capable of collecting and sharing electronic information. The Internet of Things includes a wide variety of "intelligent" devices, from industrial machines that transmit data on the production process to sensors that track information about the human body. Often these devices use the Internet protocol (IP), the same protocol that identifies computers on the world wide web and allows them to communicate with each other. The objective of the Internet of Things is to have devices that self-report in real time, improving efficiency and bringing important information to the surface more quickly than a system that depends on human intervention. . "

IoT is designed to extract data from a process, device or human being to make an "intelligent" process or to solve specific problems. The potential impact should be measured against a specific set inteligente targets. The IoT will enable smart buildings, smart cities, smart grids, smart clothing and practically every thing and process imaginable. The IoT allows quantitative-empirical empirical measures that can be evaluated and validated.

Artificial Intelligence / Automatic Learning

"Artificial intelligence (AI) is a term for simulated intelligence in machines … the ideal feature of artificial intelligence is its ability to rationalize and undertake actions that have the best chances of achieving a specific goal … based on & # 39; idea that human intelligence can be defined in such precise terms that a machine can imitate it … (applied to) learning, reasoning and perception … (through) an interdisciplinary approach based on mathematics, computer science, linguistics, psychology and more. " "The automatic learning is the concept that a computer program can learn and adapt to new data without human interference. Machine Learning is a field of artificial intelligence (AI) one maintains the built-in algorithms of a current computer … various sectors of the economy have to deal with huge amounts of data available in formats other than disparate sources … the huge amount of data, known as big data, it is becoming easily available and accessible thanks to the progressive use of technology … when new or additional data become available, the algorithm automatically adjusts the parameters to check for any pattern changes. "

Artificial intelligence is unique because it learns and self-replicates. There is a good-faith arms race among investors in AI. The range of applications is staggering, including all the vertical industries and almost all the business functions and processes that support them. The influence will profoundly affect health care, transportation, accounting, finance, production, customer service, aviation, education, sales, marketing, law , entertainment, media, security, negotiations, war and peace. The impact of AI / ML can be measured in a series of pilot projects designed to broaden and deepen the knowledge of its role in all business models and processes. As always, pilots need funding and sponsorships.

Enhanced analytics

"Enhanced Analytics automates data analysis using automated learning and natural language processing for automation data preparation and enable data sharing. This advanced use, manipulation and presentation of data simplify data to present clear results and provide access to sophisticated tools so that business users can make everyday decisions with confidence. Users can go beyond opinion and prejudice to get real information and act on data quickly and accurately. "

Increased analysis is based on existing investments in analyzes that fall into one of four categories: description, explanation, prediction and prescription. The impact should be focused on these areas. It must be assumed that companies are already experimenting with methods, tools and analysis techniques in one of the main application areas (description, explanation, prediction or prescription). As always, pilots need funding and sponsorships. AI / ML and increased analysis are closely related. Increased analysis is a "horizontal" area of ​​application for AI / ML, so pilots in one area can have an impact on the other.

Blockchain

According to Francois Zaninotto, "a blockchain is a ledger of facts, replicated on multiple computers assembled in a peer-to-peer network. The facts can be anything from monetary transactions to signing the content. Members of the network are called anonymous individuals knots. All communications within the network exploit cryptography to securely identify the sender and recipient. When a node wants to add a fact to the ledger, a consensus is formed in the network to determine where this fact should appear in the ledger; this consent is called a to block… to blockchain allows you to securely share and / or process data between multiple parties on a network of untrusted peers. The data can be anything but the most interesting uses are the information that currently requires the exchange of a reliable third party. "

Some of the most important areas of application include financial services (such as asset management, cross-border payments, insurance claims processing and smart contracts). Blockchains can be threatening because by their nature they disturb transaction architectures. They do this by disintermediating trusted third parties – like banks. As a result, sponsors of pilot projects may be somewhat more difficult to find than sponsors of other emerging technologies.

cryptocurrency

James Royal explains the cryptocurrency in this way: "Cryptocurrency is a form of payment that can be exchanged online for goods and services … cryptocurrencies work using a technology called blockchain … a decentralized technology spread across many computers that manage and record transactions. Part of the appeal of this technology is its security … proponents see cryptocurrencies as bitcoins as currency of the future and they are rushing to buy them now before they become more widespread and presumably more valuable … some advocates like the fact that cryptocurrency removes central banks from the management of the money supply, since over time these banks tend to reduce the value of money through inflation … other advocates like the technology behind the cryptocurrencies, the blockchain, because it is a decentralized processing and recording system and can be safer than traditional payment systems … others still love the anonymity of the blockchain network, which allows transactions outside governmental surveillance, including criminal activities. "

The pilots here are challenging as they could threaten the existing transaction processes. Alternative currencies threaten many acquired financial interests. Pilots therefore need special sponsorships. The impact may not be what is expected or desired.

Here it is: a simple list and methodology. The key is to understand where technologies can affect business processes, products and services. This should be a continuous process, not something that addresses the end of the year or any other quarter. The lists will change and your needs will modify. Rest assured that competition will be the driving of these and other emerging technologies. If you lose this battle, you could lose the war.

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