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Subscription economy defies economic headwinds, fuels recurring growth

CIO Business Intelligence

Organizations with subscription-based business models have not only survived the recent global economic challenges but have also outperformed their traditional, product-based counterparts, according to The Subscription Economy Index (SEI) report for 2023 by Zuora. against the latter’s 4.8%.

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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

Working with partner Amazon Web Services (AWS), the NFL has developed Digital Athlete, a platform that uses computer vision and ML to predict which players are at the highest risk of injury based on plays and their body positions. The first thing is having a data strategy, having a foundation of data, and then asking questions of it.”

Analytics 114
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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage. Observability represents the business strategy behind the monitoring activities. These may not be high risk. They might actually be high-reward discoveries.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 134
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Gen AI’s ultimate potential? Hive mind teamwork

CIO Business Intelligence

By the time information slogged through every layer of our hierarchical operating model, all comparative advantages were lost. The enemy’s model, however, amplified the power of their bargain-bin tech. I believe large language models (LLMs) will prompt most organizations to face the same reckoning. Imagine it’s 2028.

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Protecting Your Cryptocurrency Wllets with Machine Learning

Smart Data Collective

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Machine learning technology can do wonders to help reduce the risk of cryptocurrency thefts Over the past few years, we have seen a growing number of hackers weaponize artificial intelligence.

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Showcasing the Searchable Graph of Enriched Debunks, DBKF, at the EBU’s Data Technology Seminar

Ontotext

However, the ease of access to information has also increased the risk of disinformation, which can have serious consequences. The seminar was organized by the European Broadcasting Union (EBU) and the respective community that is dedicated to foster knowledge sharing and learning on data-related projects, such as metadata and AI.