Generative Data Intelligence

Tag: analytics

Koinly Review: Helping You Manage and Calculate Your Crypto Taxes

Koinly is an online platform for calculating your crypto taxes and tracking your portfolio. As it supports more than 100 countries, Koinly allows people from all around the world to generate their crypto tax reports. Crypto taxes have become a hot topic recently, with the IRS, HMRC, and other tax authorities cracking down on crypto […]

Koinly Review: Helping You Manage and Calculate Your Crypto Taxes was originally found on Blokt - Privacy, Tech, Bitcoin, Blockchain & Cryptocurrency.

4 Features Every Retail Execution Solution Must Have

The ascent of SaaS has inspired numerous companies to establish retail execution solutions that provide instant, useful insights and pave way for...

Data Extraction, Automation and Digital Transformation through Humans in the Loop workflows

IntroductionThis article will take you through what digital transformations are, what drives it, how to aid successful digital transformations, how AI and deep...

NEXO Lending Review: Instant Crypto Backed Loans

NEXO is a project which has recently garnered quite a bit of interest in the cryptocurrency community. Not only is NEXO being developed by...

Golem Review: Decentralised Blockchain Super Computer

Those that have been involved with cryptocurrencies for some time have probably heard of the Golem (GNT) project before, because it was a...

AI Assisted Content Creation Workflows

Publish or Perish – is this still true in 2019 and beyond? Certainly, content creators of all “genres” need to find and use...

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.

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.

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.

From Big Ideas to Big Changes: Lance Li and Aerospec Technologies Make Renewable Energy Adoption a Practical Reality

Forests are burning. Sea levels are rising. Climate is rightfully at the center of much of the world’s attention right now, and because of that, innovative ways of approaching energy consumption increasingly attract attention and investment. Renewable energy has especially been a primary focus of the new clean tech economy, and there is much hype […]

The post From Big Ideas to Big Changes: Lance Li and Aerospec Technologies Make Renewable Energy Adoption a Practical Reality appeared first on MassTLC.

How Safe is Binance According to the Top Hackers [Must Read Review]

Binance exchange is a rapidly growing cryptocurrency platform with great bandwidth and infinite scaling margin. This service supports over 100 cryptocurrency pairs. Using...

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