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Time-Series Forecasting Using Attention Mechanism

Analytics Vidhya

Introduction Time-series forecasting plays a crucial role in various domains, including finance, weather prediction, stock market analysis, and resource planning. Accurate predictions can help businesses make informed decisions, optimize processes, and gain a competitive edge.

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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. If you’re an AI product manager (or about to become one), that’s what you’re signing up for.

Marketing 363
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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

It could also just be a sign that a particular marketing initiative is working. Unsupervised learning Unsupervised learning techniques do not require labeled data and can handle more complex data sets. Because all sales data is known, patterns can be analyzed for insights into products, marketing and seasonality.

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You Can Optimize GPT If You Understand its Limitations!

Smarten

To the technology industry, AI and new market entries like ChatGPT provide a crucial foundation for new products and services. GPT-4 has a capacity of more than 175 billion machine learning parameters, and can support many types of tasks, e.g., answering questions, providing machine translation, summarizing text, time series forecasting, etc.

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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

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Solving the Data Daze – Analytics at the Speed of Business Questions

Rocket-Powered Data Science

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167
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AI, predictive analytics top list of hot technologies for banks

CIO Business Intelligence

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.