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Rethinking AI’s Impact on Software Development and Testing

Information Week

Adoption of artificial intelligence isn’t just about learning from customer data or supporting line workers. It’s already making an impact in software development processes.

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How CIOs Can Become Artificial Intelligence Experts

The Accidental Successful CIO

CIOs Need To Prepare For The Arrival Of AI CIOs can remember not all that long ago that AI was the exclusive domain of data scientists. All people have to do is to plug data into standardized AI templates. Automated ML can be used to ease the pain of data science.

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Optical technology enabling the growth of artificial intelligence

CIO Business Intelligence

In order to predict future developments for the good of all, we will need to absorb and analyze information on an unprecedented scale. Artificial intelligence (AI) has a pivotal role to play. Progress hinges on expanded data availability, enhanced computational capabilities, and the development of new training algorithms.

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Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

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Artificial Intelligence in Cybersecurity: Good or Evil?

CIO Business Intelligence

Generative AI has taken the world seemingly by storm, impacting everything from software development, to marketing, to conversations with my kids at the dinner table. Abuse by Attackers: There have also been concerns raised that attackers will leverage Generative AI tools such as ChatGPT to develop novel new attacks.

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Real-time artificial intelligence for everyone

CIO Business Intelligence

By Chet Kapoor, Chairman & CEO of DataStax Every business needs an artificial intelligence strategy, and the market has been validating this for years. They fail because data is served too slowly in complicated environments, making real-time actions almost impossible. More specifically, you need real-time data at scale.

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Building a vision for real-time artificial intelligence

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.