Remove Data-driven Remove Experimentation Remove Interactive Remove Recreation/Entertainment
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When models are everywhere

O'Reilly on Data

SCREENS, FEEDBACK, AND “THE ENTERTAINMENT”. Many of the models you interact with are mediated through screens, and there’s no shortage of news about how many of us spend our lives glued to them. In David Foster Wallace’s novel Infinite Jest , there is a video tape known as “The Entertainment.” We shouldn’t be surprised.

Modeling 188
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250
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Higher-ed CIOs embrace academia’s AI challenges

CIO Business Intelligence

One is knowledge of the emerging mega trends in technology — data, AI, and machine learning — and the other is understanding organizational culture needed to advance the technology goals and to inspire contributors,” he says. We expected a couple thousand interactions when we implemented it.

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

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Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. and tokenization.

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Accelerate data science feature engineering on transactional data lakes using Amazon Athena with Apache Iceberg

AWS Big Data

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Solution overview Data scientists are generally accustomed to working with large datasets.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105