Remove 2012 Remove Digital Transformation Remove Risk Remove Structured Data
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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Robustness : AI systems should be able to withstand attacks to the training data. We started with prepping the proprietary structured data to clean and make it ready in a format to be able to pass within prompts for fine-tuning and inferencing.

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Introduction To The Basic Business Intelligence Concepts

datapine

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They prevent you from drowning in data. Source: Adeptia.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

There are essentially four types encountered: image/video, audio, text, and structured data. However, the laggards have years’ worth of digital transformation, company culture detox, massive staffing hurdles, etc. Translated, there’s a breakaway accelerating between the leaders and the laggards.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.