Smart Data Collective
JULY 24, 2023
Analytics technology has been a huge gamechanger for the sports industry. billion on analytics last year. Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings.
Decision Management Solutions
JUNE 4, 2021
Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). Limitations of common approaches to analytic projects.
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Smart Data Collective
NOVEMBER 20, 2022
Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.
Decision Management Solutions
JULY 16, 2020
Everyone it seems wants to be an analytic enterprise. But what does it mean to be an analytic enterprise? An analytic enterprise applies analytics deeply and broadly. It uses analytics to solve its most critical run-the-business problems.
Smart Data Collective
JUNE 12, 2019
Machine learning tools are able to understand the newest threats and use the latest algorithms to combat them, as Kaspersky Lab pointed out in a recent white paper. The good news is that new machine learning and predictive analytics technology is making it much more secure. Invest in email-specific antivirus software.
CIO Business Intelligence
MARCH 22, 2022
How do you introduce AI into your data and analytics infrastructure? Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Consider deploying analytics-as-a-service . Intel® Technologies Move Analytics Forward.
CIO Business Intelligence
JANUARY 20, 2023
Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.
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