How to Mitigate the Top Risks of IoT Data

Data Governance

How to Mitigate the Top Risks of IoT Data

The unceasing torrent of information flowing from billions of interconnected devices represents one of the most transformative economic forces of the modern era, yet within this digital deluge lie hidden currents of significant organizational risk. Successfully harnessing the power of the Internet of Things is not merely a matter of deploying

How to Build an AI App That Actually Succeeds

Data Governance

How to Build an AI App That Actually Succeeds

The initial gold rush of artificial intelligence development has concluded, leaving behind a landscape where the gleam of novelty has faded in favor of the hard currency of tangible value. As the market sobers up from the initial hype cycle, both investors and users are demonstrating a sharpened sense of discernment, demanding far more than clever

Is Your Deleted Smart Home Data Really Gone?

Data Governance

Is Your Deleted Smart Home Data Really Gone?

The seemingly simple act of deleting a video clip from a smart home camera has become a complex issue, raising profound questions about digital privacy and the permanence of our data in an interconnected world. A recent case involving Google Nest footage has cast a spotlight on the unsettling reality that data erased by a user may not be truly

Will a US Petition Upend Canadian School Data Privacy?

Data Governance

Will a US Petition Upend Canadian School Data Privacy?

A rapidly expanding petition in the United States calling for public schools to sever ties with a major photography vendor is casting a long shadow over student data privacy practices, prompting a critical re-evaluation that extends well beyond American borders. This movement, centered on transparency and control over children's personal

Which Data Governance Model Is Right for You?

Data Governance

Which Data Governance Model Is Right for You?

For many Chief Information Officers, the term "data governance" has become synonymous with failed initiatives, bureaucratic roadblocks, and a deep-seated organizational resentment. This widespread aversion is not without cause, stemming from a history of flawed implementations where governance was either forcibly imposed from the top or siloed

CIOs Demand Verifiable Trust From AI Vendors

Data Governance

CIOs Demand Verifiable Trust From AI Vendors

The era of accepting an artificial intelligence vendor's assurances on data security and ethical practices at face value has decisively come to an end, fundamentally reshaping the procurement landscape for enterprise technology. As AI systems become deeply embedded in core business operations, the concept of "trustworthy AI" has evolved from an

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