This blog discusses the challenges faced by the manufacturing industry and how big data can be utilized to overcome them. The focus is on demand forecasting, and the blog includes a case study demonstrating the effectiveness of using big data for this purpose. The case study shows how data analysis can improve production optimization and supply chain management, leading to more efficient and accurate demand forecasting. The blog also highlights the importance of predictive analytics and the potential for big data to revolutionize the manufacturing industry. Overall, the blog emphasizes the value of big data in overcoming industry challenges and driving manufacturing efficiency.
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Data Science & Data Engineering blogs
Thanks for reading. Here you will find a huge range of information in text, audio and video on topics such as Data Science, Data Engineering, Machine Learning Engineering, DataOps and much more. The show notes for “Data Science in Production” are also collated here.
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Learn about the key differences between multi-dimensional modeling and relational modeling in analytical systems. Understand if multi-dimensional is a relational concept or not.
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In this blog, we will discuss the transformer architecture, blockwise training, and the various use cases of large language models such as ChatGPT. We'll explore how these models can be fine-tuned for tasks like language translation, text summarization, text generation, question answering, sentiment analysis, dialogue generation and language modeling. Whether you are a ML engineer or a language enthusiast, this blog post will provide a comprehensive understanding of the latest developments in NLP.
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Neo is defined as new or a modern form or development. NeoInsurance companies take a tech first approach to providing cover, aiming to simplify the process of obtaining cover and offer targeted cover to those who would struggle to insured by traditional insurance companies. In this blog we look at how Data + AI is supporting NeoInsurance
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10 ways AI & Machine learning can be used to drive revenue in Insurance & Brokers.
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At the Data + AI Summit, Simon delivered a session on “Achieving Lakehouse Models with Spark 3.0“. During the session there were a load of great questions. Here the questions and the answers from Simon. Drop a comment if you were in the session and have any follow up questions!
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We are incredibly pleased to announce that we have obtained another Gold Partner accreditation with Microsoft. Gold Cloud Platform
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If you look at the multitude of different ways that you can build a machine learning model today, you would be right to feel overwhelmed. You can build models in R, Python, ML.net etc. Once you have decided which language to build in, the range of different frameworks only adds to the problem. ONNX simplifies the process.
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We are heading to Denmark in May to deliver 2 of our training course. We kick off with 2 days looking at Azure Data Factory, followed by another 2 days of Databricks. It will be an awesome 2 days. See you there.
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We are kicking off 2020 by announcing that we are now Gold Partners for both Data Platform and Data Analytics.
We are looking forward to 2020 and continuing to grow our relationship with Microsoft as both Gold Partners and also the only data consultancy in the UK with Artificial Intelligence MVP, Data Platform MVP and Gold Partner status.
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We are heading to Denmark in December to deliver 2 of our training course. We kick off with 2 days looking at Azure Data Factory, followed by another 2 days of Databricks. It will be an awesome 2 days. See you there.
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Our tour is over. Here are the stats and downloads.
Read MoreIn October and November we are going on tour and speaking at a load of different events. We have almost blocked out an entire month to speak at different events across the Europe and the US. We have a mixture of fantastic applied training days and engaging general sessions. We will have our surfaces charged and whiteboard markers ready to answer any questions you have relating to Advanced Analytics.
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In this video Terry takes you though the key components of Spark ML. We then build a very basic model demonstrating the key parts, using Kaggle’s Black Friday data to produce a regression model to predict spend on Black Friday.
Read MoreIn this video Terry takes you though DataFrame caching, persist and unpersist. This is vital information you need to know to get the best performance from Spark.
Read MoreIn this video Simon takes you though how write data from a Spark DataFrame to Azure SQL Data Warehouse. While this may sound simple, to get the most from Azure SQL Data Warehouse, you need to be using Polybase to read in data.
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