Plato Data Intelligence.
Vertical Search & Ai.

Tag: Predictions

How Artificial Intelligence (AI) is Helping the Insurance Industry in Automation

IntroductionInsurance is one of the essential contracts made by individuals, corporations, and industries for financial protection or reimbursement against losses. It’s one of...

What makes an image memorable? Ask a computer

From the "Mona Lisa" to the "Girl with a Pearl Earring," some images linger in the mind long after others...

AI in KYC Automation: What Every Business Needs To Know

IntroductionThis blog post will take us through how a business which need to ensure customer due diligence (CDD) can automate the KYC (Know...

Fraud prediction using AutoAI

Learn how AutoAI can churn out great models quickly, which saves time and effort and aids in a faster decision-making process.

Build your own Deep Learning powered Screen Crack Detection App

As the field of AI advances, so do the tools, platform and means we use to train such revolutionary (or sometimes silly) systems....

Monitor your machine learning models using Watson OpenScale in IBM Cloud Pak for Data

In this code pattern we demonstrate a way to monitor your AI models in an application using Watson OpenScale in IBM Cloud Pak for Data. This will be demonstrated with an example of a Telecomm Call Drop Prediction Model.

Predict, manage, and monitor the call drops of cell towers using IBM Cloud Pak for Data

In this code pattern we demonstrate how to create a model to predict call drops. With the help of an interactive dashboard, we use a time series model to better understand call drops. As a benefit to telecom providers and their customers, it can be used to identify issues at an earlier stage, allowing more time to take the necessary measures to mitigate problems.

Augur Review: Decentralized Prediction Markets on a Blockchain

Augur is perhaps the most promising prediction based blockchain currently on the market. It is also one of the most established Ethereum based...

Pivot Interactives and Tychos—even better together

Pivot Interactives and Tychos—even better together October 8, 2019 tags: computatinoal modeling, video analysis I’m a...

Create a progressive web application for offline image classification

Build a cross-platform application where users can classify images selected locally or taken with their device's camera.

Monitoring the model with Watson OpenScale

In this Code Pattern, we will use German Credit data to train, create, and deploy a machine learning model using IBM Watson Machine Learning on IBM Cloud Pak for Data. We will create a data mart for this model with Watson OpenScale and configure OpenScale to monitor that deployment, then inject seven days' worth of historical records and measurements for viewing in the OpenScale Insights dashboard.

Bitcoin Bull Run More Than Hype This Time – Don’t Be Surprised By US$20,000 Price By Years End

Bitcoin, the world’s largest cryptocurrency, surged in value to hit US$13,000 in late June. Stronger fundamentals, growing institutional interest and mainstream adoption of cryptocurrencies...

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