Business Analytics Innovation Machine Learning Scalability 
Sunflower Lab
OCTOBER 9, 2023
Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. As with any innovation, you may not immediately observe the results you originally hoped for.
Apiumhub
MARCH 18, 2021
More data is available to businesses than ever, which is why business analytics is a growing field. Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. What is Business Analytics?
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Datavail
JUNE 8, 2023
The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. DBAs are under pressure to continually evolve to support ongoing innovation. Are You Picking the Right Database?
Infinidat
MARCH 10, 2021
Data placement strategies fetch active data being used onto the performance tier but strive to keep the less active data on a separate, massively scalable tier that exhibits a much lower $/GB cost – an archive tier.
Sunflower Lab
JULY 5, 2023
.” – Saul Berman In this fast-paced digital world, more and more businesses are turning towards Intelligent Process Automation to complete different business operations. This has become true with the addition of Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) in businesses.
Sunflower Lab
APRIL 2, 2024
Use Case: Demand Forecasting for Manufacturing Business Scenario: A manufacturing company needs to predict demand for its products to optimize production and inventory management. Power BI Solution: Using machine learning algorithms, Power BI analyzes historical sales data, market trends, and seasonal variations to forecast demand accurately.
Cloudera
FEBRUARY 18, 2021
As the insurance industry adapts to changing consumer behaviors and expectations, insurers will see automation in claims processing gain traction, using Machine Learning (ML) and Artificial Intelligence (AI) to adjudicate more decisions than ever. . It’s fast, scalable and increasingly safe for businesses and customers alike.
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