Analytics Business Intelligence Machine Learning Sport 
CIO
APRIL 8, 2024
Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Computer vision, AI, and machine learning (ML) all now play a role. Souza’s advice: Cultivate curiosity.
CIO
JULY 24, 2023
IT is playing a key role in how the world’s most popular sport is played and experienced in Spain. The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game.
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TIBCO - Connected Intelligence
DECEMBER 22, 2020
More and more major companies are realizing the full value of having real-time data-driven analytics at their fingertips. Everything from temperature sensor tracking and machinery wear-and-tear to social media metrics and targeted online searches to fraud and forecast trends can be critical information to a successful modern business. .
DataRobot
SEPTEMBER 6, 2022
At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. Data Analysis Must Include Business Value. To drive business value and successfully apply AI , it’s critical that members of data and analytics teams clearly articulate the underlying business value.
Altexsoft
NOVEMBER 15, 2022
Read on to find out what occupancy prediction is, why it’s so important for the hospitality industry, and what we learned from our experience building an occupancy rate prediction module for Key Data Dashboard — a US-based business intelligence company that provides performance data insights for small and medium-sized vacation rentals.
StubHub
SEPTEMBER 20, 2018
As a company, we have data from 48 countries for over 10 million live sports, music and theater events. Analysts focus on ad-hoc, in-depth analytics to provide insightful business intelligence and product analysis. including data storage, pipeline, analytic platform and machine learning platform?—?is
Altexsoft
DECEMBER 9, 2020
Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.
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