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nitie-contribution-during-Pandemic.mp4IIM Mumbai Contribution during Covid-19 pandemic
IIM Mumbai Contribution during Covid-19 pandemic
Simulation Model shows the path to a disruption resilient supply chain
The Transformer Model
The Transformer architecture follows an encoder-decoder structure but does not rely on recurrence and convolutions in order to generate an output. The Transformer Model
In a nutshell, the task of the encoder, on the left half of the Transformer architecture, is to map an input sequence to a sequence of continuous representations, which is then fed into a decoder.
The decoder, on the right half of the architecture, receives the output of the encoder together with the decoder output at the previous time step to generate an output sequence.
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Benefits of using ChatGPT for
financial forecasting
ChatGPT can help you think about: Benefits of using ChatGPT for
financial forecasting
- How to structure your forecast
- What to include
- How to approach coming up with the numbers
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ChatGPT for Time Series Data Analysis
One of the critical domains where ChatGPT can make a significant impact is time series analysis. Time series data, consisting of sequential observations over time, is fundamental across industries such as finance, healthcare, and energy. It enables organizations to uncover trends, forecast future values, and detect anomalies, all of which are invaluable for data-driven decision-making. Whether it's predicting stock prices, monitoring patient health, or optimizing energy consumption, the ability to analyze time series data accurately is paramount.ChatGPT for Time Series Data Analysis
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Analytics for an Online Retailer: Demand Forecasting and Price Optimization
This presentation highlights a collaborative effort with Rue La La, an online fashion sample sales retailer, showcasing how leveraging extensive data can optimize daily pricing decisions. Rue La La faces the challenge of pricing and forecasting demand for new products, a significant portion of their sales. To address this, the team employs machine learning to estimate historical lost sales and predict future demand. The unique nonparametric structure of the demand prediction model, coupled with the influence of competitor prices, requires a tailored algorithm for multi-product price optimization.read more
Key Research Issues in Supply Chain & Logistics Management: 2030
The research report highlights the research issues that need to be pondered over by the Logistics community till 2030. It focuses on different aspects of Logistics in India. It investigates the differnt opportunities and challgenges of Supply Chain in India. It also investigates global and industrial problems in order to build a ressillient supply chain.
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The research report highlights the research issues that need to be pondered over by the Logistics community till 2030. It focuses on different aspects of Logistics in India. It investigates the differnt opportunities and challgenges of Supply Chain in India. It also investigates global and industrial problems in order to build a ressillient supply chain.
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Time Series Transformer
The Time Series Transformer model is a vanilla encoder-decoder Transformer for time series forecasting.
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Time Series Transformer
The Time Series Transformer model is a vanilla encoder-decoder Transformer for time series forecasting.
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This Article from IBM, shows how AI can help in Fast Fashion
High-tech solutions aren’t yet mainstream in the world of fashion, but we believe they should be. We first became convinced of Watson’s power after a visit to the IBM Labs in Bangalore. Bearing data about our brands, we presented a problem to solve: of two similar products, why did one sell and the other didn’t? IBM developed a proof-of-concept solution that gave us the answer. Clearly, AI could help our company succeed.This Article from IBM, shows how AI can help in Fast Fashion
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Renaissance of Indian Manufacturing Sector
The manufacturing sector is one of the quintessential components to balance employment generation, economic growth, and environmental sustainability. Due to that, it is admitted as the backbone of the country’s economy as it offers a significant contribution to GDP and job creation. Globalization further influences it by the driving forces of outsourcing and distributed manufacturing with technological advancements. However, the decreasing share in GDP and shrinking employment from the manufacturing sector has become concerning predicaments.Renaissance of Indian Manufacturing Sector
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The Encoder - Decoder Architecture
The paper’s author says the architecture is simple because it has no recurrence and convolutions. In other words, it uses other common concepts like an encoder-decoder architecture, word embeddings, attention mechanisms, softmax, and so on without the complication introduced by recurrent neural networks or convolutional neural networks.The transformer is an encoder-decoder network at a high level, which is very easy to understand. So, this article starts with a bird-view of the architecture and aims to introduce essential components and give an overview of the entire model architecture.
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The paper’s author says the architecture is simple because it has no recurrence and convolutions. In other words, it uses other common concepts like an encoder-decoder architecture, word embeddings, attention mechanisms, softmax, and so on without the complication introduced by recurrent neural networks or convolutional neural networks.The transformer is an encoder-decoder network at a high level, which is very easy to understand. So, this article starts with a bird-view of the architecture and aims to introduce essential components and give an overview of the entire model architecture.
read more
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