Remove AI Strategy Remove Algorithm Remove Data Quality
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How to build a successful AI strategy

IBM Journey to AI blog

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer. What is an AI strategy?

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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

One of the most practical use cases of AI today is its ability to automate data standardization, enrichment, and validation processes to ensure accuracy and consistency across multiple channels. Leveraging customer data in this way allows AI algorithms to make broader connections across customer order history, preferences, etc.,

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AI Bias & Cultural Stereotypes: Effects, Limitations, & Mitigation

Unite.AI

For example, in August 2020, Robert McDaniel became the target of a criminal act due to the Chicago Police Department’s predictive policing algorithm labeling him as a “person of interest.” Similarly, biased healthcare AI systems can have acute patient outcomes. Several key strategies can be implemented to reduce bias in AI models.

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With generative AI, don’t believe the hype (or the anti-hype)

IBM Journey to AI blog

” For example, synthetic data represents a promising way to address the data crisis. This data is created algorithmically to mimic the characteristics of real-world data and can serve as an alternative or supplement to it. In this context, data quality often outweighs quantity.

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Pascal Bornet, Author of IRREPLACEABLE & Intelligent Automation – Interview Series

Unite.AI

For organizations to ensure that AI augments rather than replaces human workers, they need to take a human-centric approach to AI implementation. This means putting people at the heart of their AI strategies and focusing on how the technology can empower and enhance human capabilities. One key aspect is job design.

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Cloudera For Cloudera, it’s all about machine learning optimization.

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AI in Stock Trading : Unlocking Profits

Pickl AI

Artificial Intelligence (AI) has gone beyond science fiction. It is now the foundation for intelligent, data-driven decisions in present-day stock trading. Forecasts indicate that during the next five years, the global algorithmic trading market is expected to increase at a consistent rate of 8.53%. Isn’t that remarkable?