DAIN

DAIN

map the market for artificial intelligence

preliminary

The emergence of technology and Artificial Intelligence has brought convenience to our daily activities and our means of livelihood in general. People become less employed in certain places, and enjoy all the humanitarian benefits that are available in the most ordinary daily life. All thanks to innovative ideas that visit the minds of certain people.
Artificial intelligence is part of software engineering that intends to make smart machines. This has become a basic part of the innovation business. Research related to man-made brain power is very specialized and concentrated. The main problem of artificial intelligence is combining PC programming for certain attributes, for example, Information, Reasoning, Understanding the problem, Perception, Learning, Planning and the Ability to control and move objects.
Man-made disquiet has begun and associations in assembly, transportation, retail, money, entertainment, instruction, and about each other industries are changing their central procedures and action plans to exploit. Not only does AI change business and organization, it assumes colossal work in our daily lives. How we travel, what we choose to eat, the amount we pay for brewing often depends on AI arrangements.

What is DAIN?
DAIN is the next generation artificial intelligence platform, a geographically distributed decentralized public computing network driven by the integration of the blockchain and artificial intelligence technology to solve and solve problems. This platform uses computing resources efficiently and without intermediaries from other devices located anywhere in the world to solve complex AI problems. DAIN awards hardware owners and maps the artificial intelligence market. This allows companies with similar needs to provide or find joint solutions.

DAIN aims to make artificial intelligence easy and affordable, accessible to all consumers, from small businesses to large companies, from knowledge to big data, reducing time to market in production models, and obtaining information and knowledge. Produce. This platform allows users to lease idle computing power from devices and computers to help companies in data processing, problem solving, and problem solving using artificial intelligence technology. It also allows companies to develop new business models, new customer relationship models, and new revenue streams, providing a secure environment where they can safely sell, build, sell, and execute knowledge, solutions, data and infrastructure to create, consume, and implementing artificial intelligence. To share. Using corporate DAIN platforms of various sizes, it can easily and efficiently train new models with its own data and / or data from external sources provided to DAIN and can model it with third party data. Change the existing data market. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties. he can easily and efficiently train new models with his own data and / or data from external sources provided to DAIN and can model them with third party data. Change the existing data market. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties. he can easily and efficiently train new models with his own data and / or data from external sources provided to DAIN and can model them with third party data. Change the existing data market. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties.

Why is DAIN necessary?
- Barriers to AI
Apart from its extraordinary influence on society and great interest, AI and its needs are difficult to understand. Organizations and experts are not regulated for large scale abuse. These conditions specifically affect the most conventional organizations, who are careless in the midst of troublesome changes. To ensure a reasonable, simple and agile AI integration in the eyes of the public, benefiting both organizations and their clients, explicit instruments are needed that address the limitations of this section.
- Lock-in and nonpartisan vendor
Behavior of discovery makes it very difficult to review AI. Models can present trends through information, shifting settings from ideal outcomes. Or on the other hand tendencies can be presented by model makers when models are made to imitate depictions of reality that do not coordinate their ideological superiority. The unaudited AI administration of a distributed computing specialist cooperative adds to this problem. It is important to offer organizations the opportunity to choose the most non-partisan and fair-minded arrangements and avoid locked sellers.
- Continuity
Late investigations warn of the impression of gigantic carbon and high power utilization due to current ways to deal with Cloud, AI and DLT. Existing information handling bases devoured 3% of the vitality given by people, and the exploitation of the bitcoin mining power that now surpasses Switzerland. It is not important to produce equipment that is progressively committed to meeting the specific needs of both advancements. To guarantee management, we must increasingly use the assets we have now in increasingly sophisticated ways.

Despite its extraordinary influence on society and giant interests, AI and its needs are difficult to understand because of its diverse nature. Organizations and experts are not regulated for the abuse of very large scale. These conditions in particular affect the most conventional organizations, who are careless in the midst of problematic change. To ensure a combination of AI that is reasonable, simple and agile in the public eye, benefiting both organizations and their clients, explicit tools are needed that address the boundaries of this section.

That is a decentralized AI! As we move forward, I see three giant favorable conditions of AI decentralization over indigenous AI:

1. Insignificant inactivity or does not depend on the association settings
2. Prepare yourself more effectively or done in a decentralized way
3. Less Power Consumption or once more, no reliance on organize association
   FEATURES OF DAIN
   
   Understanding and leveraging the possibilities of an artificial brain with unlimited scalability is a complex task. This white paper splits the explanation of DAIN’s potential into three different interlinked components, examined separately and in detail:
   DAIN Ecosystem:
   DAIN is created, built, and grown by and for its users. Like the internet, DAIN users will define what DAIN will become in the future. Users can participate in this ecosystem by playing different roles.
   DAIN Solutions:
   The business toolbox designed to offer out-of-the-box value to
   DAIN users.
   It aims to streamline the democratization of AI and enable new business models.
   DAIN Platform:
   The core underlying infrastructure that enables the ecosystem and the creation of solutions. Its mission is to establish a secure marketplace for computing resources, data and AI models.
   DAIN ECOSYSTEM
   DAIN is conceptually designed to interact with two kind of users, end users and institutions (private companies or any other kind of institution, such as universities or research centers).
   End Users
   fuel the computational resources market, sharing the free computing capacity of their devices to cover institutions’ requests for service, receiving a reward (tokens) as payment.

The institution
makes requests for services to the network, using its computing resources. Depending on the type of service request, they can be divided into:
Producers:
They create new AI models that are trained at DAIN using their own data and / or data provided by network members, paying tokens instead of using the required computing resources or data. These solutions can be made only for their own consumption, or they can be exposed in the market at any time to generate a new income stream.
Consumers:
They directly access the AI ​​market to reuse existing solutions made by Manufacturers.
OTHER SOLUTIONS
As explained, DAIN Solutions provides ready-to-use business solutions. This section details the initial set of solutions that will be provided on the DAIN platform

1. Empathy - Engagement platform
2. Knowledger - AI Marketplace
3. The soul - an autonomous agent
4. Psyche - Intelligent Travel Platform Made by Zero Code
5. Intuition - DAIN
   ECONOMIC Laboratory The
   DAIN applies a variety of techniques to improve the stability of utility tokens and the overall system:
6. The DAIN token value is referred to by the computational power that forms the network.
7. Tokens have reduced volatility, because values ​​(not prices) are related to tangible and measurable indicators.
8. There is a clear driver of growth in the value of tokens.
9. Wealth distribution
   TOKEN INFORMATION
   
   DAEN Tokens are directly related to the power of network computing. To measure network computing power, a reference index is defined: DIPS (DAIN Performance Index Standards). Each service request handled by the network can be marked with a DIPS number, which represents the estimated computing power needed to complete it. DAIN token (DAINT) is defined as the computational capacity that enables the implementation of 1 DIPS service request, in every active Minimum Resource Cell in the network. 1 DAINT = 1 DIPS x  #MRCs  To prevent the growth of artificial networks, each MRC requires a DAINT backup to be considered active and allowed to provide services.
   While the price of certain tasks is driven by supply and demand, there is a pricing mechanism that links them with token values, reducing volatility.

DAIN tokens (DAINT) are marked as processing limits that enable the implementation of 1 DIPS assistance request, in each dynamic Minimum Resource Cell in the system. 1 DAINT = 1 DIPS x   #MRCs

Tokens Allocation

- Sales of Public Tokens

– DainWare

DainWare is an organization responsible for the development and continuous improvement of the base

Settings

DAIN - DainServices DainServices is an administrative organization that offers a number of benefits including DAIN's top management to corporate customers and use of use cases

- Giving Gifts and Communities

- Team and Advisor

DAAD ROADMAP
We just started, but everything has been mapped and planned. Learn about the next steps.
2018 Q3
Network Dain was conceptualized
in 2018 Q4
Dain technical design complete
in 2019 Q1
Agreement with the Universidad Pontificia de Comillas to fund research projects Dain
2019 Q2
DainWare fund a
White Paper published the
funds collected from eight angel investors
Advisor Board
in 2019 Q3
Agreement with SecondWindow to provide workforce development
We are here
2019 Q4
IEO 1.0
Token Private Sale
Telefónica & Eleven Paths LoI out of
2020 Q1
IEO 2.0 with additional exchanges for extended reach PoC Industrial Use Case 2020 Q2
Publication Research Articles ICO 2020 Q4 launches the 2021 DainServices Demo Concept organizes service providers and Go-to-market service integrators DAIN Team DAIN Team consists of professionals with extensive experience in startups, entrepreneurship and large multinational companies. We are also proud to have the support of collaborators from various sectors and the academic world. José Ramón García Luque Co-founder & CEO of Cognitive & AI Architect at Sabadell Bank Luis Garcia San Luis Co-founder of CIO at Deutsche Bank SAE
Carlos Díaz Conde
Business Development & Strategic Alliance
Jesús García San Luis,
CTO,
CTO, & Founder, 8g,
Analytics Technology Advisor, LossLessLinen,
Luis Garcia Lorente,
COO.
Founder of Promptwave
( ICEX Innovation award)  Strategic
Advisor &  Position European Partner, Andrés Contreras Guillen Head of Solutions & Services, Research Team José Luis Gahete Professor at Universidad Pontificia Comillas de Madrid ICAI-ICADE David Contreras Bárcena Director of the Department of Telematics and Computing at Universidad Pontificia Comillas de Madrid Madrid ICAI-ICADE David Alfaya Professor in the Department of Applied Mathematics at ICAI School of Engineering

Alejandro García San Luis

Professor of Comillas Pontifical University of Madrid ICAI-ICADE

Israel Alonso Martínez

Professor of Comillas Pontifical University of Madrid ICAI-ICADE

Advisory Team

ICC -ICADE Advisory Team

Open Innovation at Banco Sabadell

Roberto Nuñez Del Rio

Founder in Why? Digital Training and HubIT

Peter's Mark

CEO di myClouddoor

Covadonga Fernández

Director at the Blockchain Observatory

Jose Salamanca

COO di UST Global Spain & LATAM

Jorge Alonso

General Director at Second Window

Ricardo Usaola

Regional Vice President - Iberia MuleSoft Sales at Salesforce

Valentin Galan

Channel dan Alliance Regional Partner Director di Mulesoft, Salesforce Company

Juan Boquera

Operations Manager di The Cocktail

Juan Antonio Sánchez Cañibano

Chief Digital Services Sales Specialist

Jorge Aponte

Blockchain & Crypto Influencers | Global Busines Developer

For more information, please visit the link below:

Website : https://dain.ai/

Whitepaper : https://dain.ai/docs/DAIN — Whitepaper_ENG.pdf

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Twitter:  https://twitter.com/dainware

Linkedin:  https://www.linkedin.com/company/dain

Telegram:  https://t.me/dainware

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