The Idea behind AiBB and its features

Cryptocurrency trading is no longer the domain of professional investors or fund managers. A recent survey by Postbank found that one in three Germans are interested in the space for investment, a potential trader market of nearly 30 million in one country alone. Among 18 to 30-year-olds, the figure reaches almost 50%.

Certainly, these investors are not all professionals, and any kind of investment comes with risk. Stabilizing and growing the market means harnessing these potential investors but also catering to their needs and lowering their risks.

Cryptocurrency trading comes with a steep learning curve given the many sources of contradictory information making it challenging for new investors to enter the space.

Despite this information overload, or perhaps because of it, interest in cryptocurrency trading has blossomed.

In the first six months of 2017, the cryptocurrency trade increased more than ten times. Currently, there are well over fifteen hundred different cryptocurrencies and over ten thousand different exchanges. The total cryptocurrency market reached $800 billion in January 2018 and is estimated to pass the $1 trillion mark by the end of the year.2

AiBB facilitates even more growth in the cryptocurrency market by bringing together reliable trade data, news, security and public education. We want every individual involved in the cryptocurrency space empowered with the right tools and understanding of their investments on a secured, reliable and decentralized platform.

AiBB is set to be the first Ai assisted application that will grow to become a completely decentralized platform that facilitates several functions and removes the need to trust 3rd party applications altogether. Users will be able to execute trades across some of the most liquid and secure cryptocurrency exchanges, preventing the destabilization that can occur when a single exchange is forced to absorb a high-volume transaction.

AiBB’s Ai CORE

AiBB deploys this innovative technology according to the Virtual Customer Assistants (VCAs) framework that enables it to understand, problem solves, and undergo supervised deep learning.

Running in the background of each module, the Ai not only monitors but proactively looks for ways to optimize your holdings. Outside of trading, AiBB is an analytics powerhouse able to cut hours of research and provide the user with actionable knowledge rather than raw information.

THE CORE AI TECHNOLOGY POWERING AIBB PERFORMS THREE CRITICAL TASKS:

1. Looking (ML Integration)

Based on Naïve-Bayes and Levenshtein Distance equations, our custom algorithm is tuned to automatically extract, classify and categorize similar repetitive information while correlating relevant data metrics.

1. Learning (AI & supervised ML)

Our AI is trained through supervised ML with most responses generated through machine repetition and understanding of context, category and request vs. the information available. Quickly able to develop its own structured responses and recommendations.

1. Listening (NLP)

Our NLP algorithm is based on Google’s Slot, Intent and Classification methods (demonstrated by Google Assistant) and Named Entity Recognition models. This allows us to capture a user’s intention with context, classify it properly before processing the request.

For more details Visit
Website: https://aibb.io/
Whitepaper: https://aibb.io/Assets/AiBB-Whitepaper.pdf
Published by: bge91
Telegram profile : @bge910