2018 Artificial Inteligence Reporting Tools Research Software 
The Product Coalition
NOVEMBER 23, 2023
Growing market investments indicate that digital health solutions are becoming more sophisticated and widely accepted. In today’s healthcare, digital technology is becoming increasingly vital. The multifaceted service platform is the solution to the industry’s key challenges.
The Product Coalition
NOVEMBER 10, 2020
If you’re building a machine learning model, chances are you’re going to need data labeling tools to quickly put together datasets and ensure high-quality data production. The best data labeling tools are simple to use, minimize human involvement, and maximize efficiency while keeping quality consistent.
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Mind the Product
AUGUST 19, 2019
Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. What does it mean for us as product managers?
Intercom, Inc.
JUNE 19, 2018
The first sign that the thieves were on the move came when Tristan, CEO of a startup accelerator, was contacted by his bank, Monzo , through their app. In a recent survey of customer support leaders, Aircall, an internet phone system specifically built for online call centers, found that controlling costs was the No.
freshtrax
JULY 16, 2019
In 2018, the total amount of VC investments was more than $3.5 Top 10 Largest Japanese Companies in 2018. PKSHA Technology Inc. Mercari was a unicorn startup as it was valued at an estimate of more than $1 billion before its IPO launch in 2018. Curious to know which innovative startups are successful in Japan? SanBio Ltd.
Birst BI
AUGUST 23, 2018
A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics.
Birst BI
MAY 29, 2018
The business intelligence (BI) assembly line is broken, with adoption or utilization rates of only 30 percent in a typical organization, according to Gartner [1]. This underutilization ignores employees outside the BI system who could be using valuable data to make better decisions. Figure 2: AI Enabled BI: System generates the answer.
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