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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. Big data also helps you identify potential business risks and offers effective risk management solutions. As technology improves, the need for businesses to compete increases. Leverage innovation.

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How to become an AI+ enterprise

IBM Big Data Hub

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. Otherwise, the risks become too significant.

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Five open-source AI tools to know

IBM Big Data Hub

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan’s Athena uses Python-based open-source AI to innovate risk management.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. Let’s consider an example about risk and opportunity event detection. Knowledge organization (e.g.,

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20 issues shaping generative AI strategies today

CIO Business Intelligence

1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US. Rapidly evolving risks Companies that have blocked the use of gen AI are finding that some workers are still testing it out. The CIO’s job is to ask questions about potential scenarios.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

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6 generative AI hazards IT leaders should avoid

CIO Business Intelligence

Microsoft called the poll an error and promised to investigate, but it already seems to clearly breach several of the company’s own principles of responsible AI usage , such as inform people that they’re interacting with an AI system, and guidelines for human-AI interaction.

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