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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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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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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?

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Marketing Data and AI: A Guide on What You Need to Know

Defined.ai blog

Understanding Marketing Datasets As we explore the marketing data domain, we inevitably encounter an equally crucial term—marketing datasets. These are structured sets of data, neatly organized and formatted to be smoothly processed , especially by machine learning algorithms. Inaccurate data can lead to misleading AI insights.

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Best Practice Series #2 – The ROI for AI Projects

Wisdom Works

The data may be incomplete, with data quality issues or even missing data that is needed for the success of the model. This will have knock-on implications that add pressure onto the project to solve these issues before the solution can be delivered.

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Best Practice Series #2 – The ROI for AI Projects

Wisdom Works

The data may be incomplete, with data quality issues or even missing data that is needed for the success of the model. This will have knock-on implications that add pressure onto the project to solve these issues before the solution can be delivered.

AI 52
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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.