Pickl AI

JULY 1, 2024

Demand forecasting, powered by data science, helps predict customer needs. Optimize inventory, streamline operations, and make data-driven decisions for success. Data Science empowers businesses to leverage the power of data for accurate and insightful demand forecasts.

Data Science 52

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Marktechpost

MAY 12, 2024

SEON SEON is an artificial intelligence fraud protection platform that uses real-time digital, social, phone, email, IP, and device data to improve risk judgments. It is based on adjustable and explainable AI technology. They automate insights using business intelligence (BI), analytics, and low-code and pro-code applications.

AI Tools 102

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The MLOps Blog

JUNE 27, 2023

Google Cloud Vertex AI Google Cloud Vertex AI provides a unified environment for both automated model development with AutoML and custom model training using popular frameworks. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects. neptune.ai

Machine Learning 134

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Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025.

Explainable AI 52

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DataRobot Blog

MARCH 15, 2022

The main themes emerging from our conversations cover data integration, security and humility, strategy, and workforce development: Join siloed data together to create longitudinal, ready-to-analyze datasets. AI systems need to be built to be humble and—when there is doubt—transfer the decision-making to humans.

Explainability 52

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Defined.ai blog

AUGUST 10, 2023

The following section will explore the potential challenges of integrating AI and financial data and discuss strategies to overcome them. Overcoming Challenges in AI and Financial Data Integration As with any technological advancement, integrating AI and financial data presents its own set of challenges.

Business Intelligence 52

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Heartbeat

NOVEMBER 27, 2023

Explainable AI and Interpretability The decision-making process of deep learning models is unintelligible and inexplicable, making medical picture interpretation difficult. This section will explore some of these directions and technologies, highlighting their potential impact on the field. References Dylan et al.

Deep Learning 59

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