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How to Explain Black-Box Deep Learning Models in Computer Vision and NLP

Towards AI

Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Since then, explainability has become an essential part of the development process, especially in machine learning field. Author(s): Chien Vu Originally published on Towards AI. This member-only story is on us.

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Generative AI versus Predictive AI

Marktechpost

Rather than learning to generate new data, these models aim to make accurate predictions. Meanwhile, Predictive AI continues to dominate business intelligence, finance, and healthcare through demand forecasting, risk assessment, and medical diagnosis.

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Innovative machine learning uses transforming business applications

AI News

Data-driven decision making Using data-driven decision-making for business decision-making is a strategic approach which will help guide business decisions. Companies can use business intelligence, marketing innovations, analytics and risk management to enhance the operational efficiency of their business applications.

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Evolving Trends in Data Science: Insights from ODSC Conference Sessions from 2015 to 2024

ODSC - Open Data Science

Tools like Python , R , and SQL were mainstays, with sessions centered around data wrangling, business intelligence, and the growing role of data scientists in decision-making. By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow.

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Beyond Consolidated Data: Why You Need AI-Powered Business Intelligence

Mlearning.ai

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Manual analysis simply cannot keep pace with the speed of business. The Need for AI-Powered Business Intelligence To gain a competitive edge, organizations need to move beyond consolidated data and manual analysis.

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How to accelerate your data monetization strategy with data products and AI

IBM Journey to AI blog

Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence. But few organizations have made the strategic shift to managing “data as a product.”

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AI vs. Predictive Analytics: A Comprehensive Analysis

Marktechpost

We will give details of Artificial Intelligence approaches such as Machine Learning and Deep Learning. By the end of the article, you will understand how innovative Deep Learning technology leverages historical data and accurately forecasts outcomes of lengthy and expensive experimental testing or 3D simulation (CAE).