IBM Big Data Hub
MARCH 29, 2024
Conagra’s human resources (HR) business partners played an essential role in validation sessions, helping to ensure the alignment of the new competency profiles with the company’s strategy and employees’ needs.
CIO Business Intelligence
DECEMBER 1, 2022
Kanioura, who was hired away from Accenture two years ago to serve as the food and beverage multinational’s first chief strategy and transformation officer, says earning employee trust was one of her greatest challenges in those early months. What we are trying to do is operationalize all our analytics and algorithmic libraries.”
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AWS Big Data
MAY 31, 2023
This includes complementary solutions for OFCCP compliance management; diversity, equity, and inclusion (DEI) strategy and recruiting (now with Circa); advanced background screening; I-9 compliance; workflow automation; policy management; and more. Our legacy solution was antiquated and expensive.
Sisense
OCTOBER 27, 2020
According to a 2020 LinkedIn report , only about 29% of HR professionals report being able to successfully use insights about their people. Given that the average enterprise company now has 15-19 HR systems feeding it information and 85% of leaders say that people analytics are very important to the future of HR, this clearly has to change!
Cloudera
MAY 12, 2021
Please note that use cases could include but are not limited to: risk modeling, sentiment analysis, next best action recommendation, anomaly detection, natural language generation, and more. PEOPLE FIRST. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .
bridgei2i
MAY 4, 2020
And last but not least, insurers are changing their products and underwriting strategy to mitigate this increased risk. And in some ways, the traditional models need to be re-looked or revamped. So, we see a sharp drop in sales across products and regions. In such a scenario, how can they prioritize their key concerns?
Cloudera
DECEMBER 20, 2022
This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model. Replay our webinar : Machine learning model deployment: Strategy to implementation.
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