Why Is Content Moderation Important for an Online Business?

With increasing competition, online businesses are finding it hard to thrive. They need more creative marketing techniques to attract consumers. User-generated content is one such technique that is becoming the most powerful marketing tool used by online businesses today.  

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Future of Artificial Intelligence in Legal

There was an experiment conducted in 2017 in London, with 100 lawyers participating in the event. The experiment involved finding accuracy in credit card irregularities in applications sent to the Finance Ombudsman. Where lawyers predicted an accuracy of 66.3%, a trained AI program achieved the accuracy of 86.6%.

Imagine a lawyer doing research for a case. Where humans may take weeks or even months to complete a particular research, AI will complete the research and provide results in a matter of seconds. Here, Artificial Intelligence will be able to perform better than experienced lawyers. 

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Data Labeling Platform - Skyl

Skyl's data labeling platform allows you to quickly annotate and label data to suit your machine learning needs.

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Citizen Data Scientists vs Expert Data Scientists

In recent times,  there is widespread availability of steady data stream and efficient BI (business intelligence) tools to extract knowledge from raw unprocessed data. Businesses are slowly realizing that they don’t need highly specialized data scientists for tackling every single task. Companies believe that professionals with the right skill set can handle different data-related assignments. Hence a new job function called ‘citizen data scientist’ has come into the foray. The role of a citizen data scientist is expected to grow by 5 times compared to that of a traditional data scientist within the next 2 years.

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No-Code Machine Learning Options for Non-Programmers

Are you familiar with non-technical machine learning, also known as no-code machine learning? No-code machine learning is set to create a new wave in enterprise startups by reducing the amount of time and money spent on mundane coding tasks. One of the main aims of no-code development is to create an environment for accessible non-technical machine learning. Learn why no-code machine learning is trending and how you can use a SaaS platform like Skyl.ai to become a machine learning professional who can build models in minutes without coding expertise.

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Skyl.ai Product Updates & Announcement | 27th November 2019

#MACHINE LEARNING
1. Skyl NLP now supports Bidirectional LSTM Algorithm

A must try out on your dataset where text classification is dependent on context. With this form of generative deep learning, the output layer can get information from past (backwards) and future (forward) states simultaneously which leads to increase in the amount of input information available to the network and over.

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How to Implement Inventory Management in Retail Using Computer Vision

The retail industry is turning to AI and Machine Learning to try and gain an edge over competitors. Inventory management system for retail stores is one of the domains where AI and Machine learning can play an important role in optimizing business processes. From planning for the next month’s shelf supply to customer service inquiries, inventory management is going to incorporate the concept of smart automation in their daily processes over the coming years.

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Skyl.ai Showcased at the 4th Annual AI Summit 2019 San Fransisco

The San Francisco AI Summit took place on Sept 25th and Sept 26th, 2019. It is the world’s largest event focusing on AI for businesses, and boasts over 6,000 people and 200 speakers in attendance.

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Evaluating a Machine Learning Model

So, you have trained your machine learning model.  Maybe you've built a project that can detect pneumonia in a lung or filter through text.  From here, you have to ask yourself:

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How ML Technology can Create Age Appropriate Messaging Applications

Table of Contents

Parental Concerns

Most parents feel some fear when allowing their young children to navigate the internet unaccompanied. Many games, such as Minecraft, have a chat feature. Most people on the other side of the screen are children of a similar age, however, there is no way to ensure this. In these chatrooms, kids could be chatting with an adult. Unfortunately for children and parents, adults are known to have slightly more colorful vocabularies than children.

Most of these applications and games are entirely unmonitored, and parents expose their children to any type of person when they allow them to communicate online. The type of content that children are exposed to when dealing with strangers could be explicit. And even though some games, such as club penguin, have automatic filters, more popular games do not.

One of the biggest fears for parents is unsafe language in chatrooms, especially for young children. This may be a barrier to engagement for businesses catered toward young people. However, using machine learning, a business can train a system to filter out particular words and their suffixes.

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