AWS Machine Learning

SEPTEMBER 9, 2022

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

Analytics 69

Analytics Engineering APIs Metrics 69

CSM Magazine

DECEMBER 4, 2023

Furthermore, the integration of digital technologies, including artificial intelligence, blockchain, and big data, augments these ESG capabilities. Cross-sectional Models: These analyze data collected at a singular point in time, offering a snapshot view of the ESG-CFP relationship.

Government 105

Government Morale Finance industry standards 105

AWS Machine Learning

SEPTEMBER 9, 2022

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

Personalization 72

Personalization APIs Engineering Metrics 72

AWS Machine Learning

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. As a baseline, we used the model that won our NFL Big Data Bowl competition on Kaggle.

Calibration 74

Calibration Engineering Big data Automotive 74

BlueOcean

JULY 12, 2018

In all, chatbots – and related Natural Language Processing tools – are predicted to save companies about $8 billion in costs by 2022. Data Analytics in the Contact Center. “ By 2020, more than 40% of all data analytics projects will relate to an aspect of customer experience. ”.

Customer Care 74

Customer Care outsourcing Chatbots Contact Center 74

SmartKarrot

APRIL 15, 2022

Here are the top 10 customer retention books for CRMs to read in 2022 –. Apart from being a huge repository of knowledge on CRM, this updated version also offers adds new case studies and updated screenshots, and also includes emerging CRM trends such as AI, big data, chatbots, etc. What makes it a must-read. Conclusion.

Customer retention 19

Customer retention CRM SaaS Customer centricity 19

AWS Machine Learning

JANUARY 30, 2023

Problem statement Machine learning has become an essential tool for extracting insights from large amounts of data. From image and speech recognition to natural language processing and predictive analytics, ML models have been applied to a wide range of problems. Combining these two powerful libraries, LightGBM v3.2.0

Benchmark 80

Benchmark Construction Metrics Big data 80