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The key to operational AI: Modern data architecture

CIO

For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes. Operational AI involves applying AI in real-world business operations, enabling end-to-end execution of AI use cases. Today, enterprises are leveraging various types of AI to achieve their goals.

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Intellectual Property Law Becomes Murkier As More Creations Are Created with AI

Smart Data Collective

As it stands, intellectual property law is partly prepared to tackle this. Businesses might get stuck in needless intellectual property conflicts—a ‘legal minefield,’ as legal experts say. Intellectual property law will struggle to catch up with the proliferation of AI-generated creations in the digital age.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

Combating these threats and protecting enterprise value, means businesses must prioritize safeguarding their data. How long might it be before a hacker group unlocks your data and intellectual property, perhaps already harvested with or without your knowledge, and potentially uses that data for harm? Things will get worse.

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3 steps to get your data AI ready

CIO

While many organizations have already run a small number of successful proofs of concept to demonstrate the value of gen AI , scaling up those PoCs and applying the new technology to other parts of the business will never work until producing AI-ready data becomes standard practice. This tends to put the brakes on their AI aspirations.

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EU taps AI experts to develop compliance framework for AI regulations

CIO

The European Commission has appointed a group of AI specialists to outline how businesses should comply with forthcoming AI regulations. This could force companies to share sensitive information, raising concerns over intellectual property and competitive advantage.

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New trade body wants to license training data for AI use

CIO

Seven companies that license music, images, videos, and other data used for training artificial intelligence systems have formed a trade association to promote responsible and ethical licensing of intellectual property. These frameworks should identify, evaluate, and address potential risks in AI projects and initiatives.

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Sweat the small stuff: Data protection in the age of AI

CIO

Its become ultra-important for CISOs to monitor LLM interactions, track protected source code in cloud repositories (repos), and prevent unauthorized AI indexing of intellectual property and other private data. These will start with existing controls and be augmented with new AI-specific ones.