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Create Modern SQL Dashboards With Professional Tools & Software

datapine

A SQL dashboard is a visual representation of data and metrics that are generated from a SQL relational database, and processed through a dashboard software in order to perform advanced analysis by creating own queries, or using a visual drag-and-drop interface. Chart Interactivity With The Zoom Option. What Is A SQL Dashboard?

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Agentic AI design: An architectural case study

CIO Business Intelligence

Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. Kevin Weil, chief product officer at OpenAI, wants to make it possible to interact with AI in all the ways that you interact with another human being.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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Thermo Fisher transforms its customer experience

CIO Business Intelligence

in 2016, and BD Advanced Bioprocessing in 2018. With more than 10 million transactions and interactions per year across order entry, sales, and customer service, the company found those processes could not scale to meet the demand and deliver the experience its customers needed. in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co.

IT 105
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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services.

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

Corinium

Newer methods can work with large amounts of data and are able to unearth latent interactions. One approach is to use NLP techniques to analyze actual call center interactions with customers. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions.

Insurance 250
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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Furthermore, the event-driven design allowed teams to build stateless services that could seamlessly auto scale based on MSK metrics like messages per second. With Kafka ACLs, we enforced strict access controls, allowing consumers and producers to only interact with authorized topics.