Remove Forecasting Remove Metrics Remove Recreation/Entertainment
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Delays in TSMC’s Arizona plant spark supply chain worries

CIO Business Intelligence

Despite these setbacks and increased costs, Wei expressed optimism during the companys recent earnings call, assuring that the Arizona plant would meet the same quality standards as its facilities in Taiwan and forecasting a smooth production ramp-up. The US government has extended robust support to TSMCs investment, offering a $6.6

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

How can advanced analytics be used to improve the accuracy of forecasting? The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting. Newer methods can work with large amounts of data and are able to unearth latent interactions.

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Make Sure You Know The Difference Between Strategic, Analytical, Operational And Tactical Dashboards

datapine

Organizations can also further utilize the data to define metrics and set goals. Kaushik’s biggest, and most entertaining, rule is “don’t data puke.” They track performance metrics against enterprise-wide strategic goals. Operational metrics dashboards usually end up in the hands of the subject matter experts.

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Agentic AI design: An architectural case study

CIO Business Intelligence

Sam Altman, OpenAI CEO, forecasts that agentic AI will be in our daily lives by 2025. There is a balance between rerunning the agent solution to recreate the output and making the changes directly to the Python code. The customer team got to work and created a design and started to create a proof-of-concept.

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AWS adds machine learning capabilities to Amazon Connect

CIO Business Intelligence

As part of the announcement, the company said that it was making the forecasting, capacity planning, scheduling and Contact Lens feature of Amazon Connect generally available while introducing two new features in preview. c (Sydney), and Europe (London) Regions.

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The Future of Data Science – Mining GTC 2021 for Trends

Domino Data Lab

We need to avoid recreating pipelines in JavaScript and training service queues. Outage forecasting becomes a must-have. Time to restoration of service is also an important metric to estimate with AI & ML. AES leverages optimization and forecast models. This is facilitated, in part, by Keras Preprocessing Layers.

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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

AWS Glue Data Quality is built on DeeQu , an open source tool developed and used at Amazon to calculate data quality metrics and verify data quality constraints and changes in the data distribution so you can focus on describing how data should look instead of implementing algorithms.