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Unlocking generative AI’s greatest growth opportunities

CIO

In fact, our team has been working with generative and conversational AI in complex professional services applications like insurance, banking, and healthcare for the better part of a decade, and we’ve learned some important lessons along the way. Where will the biggest transformation occur first?

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Transforming IT culture for business success

CIO

Cultivating a culture of creators Power Home Remodeling’s business model is centered on remodeling the exterior of homes while its IT organization — what it calls the Business Technology (BT) Group — serves as the creative force behind a build-your-own software platform that operates in service to the business.

Culture 193
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IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions

CIO

With the right industry solution and implementation partner in place, organizations can steer towards effective modernization. With the right industry solution and implementation partner in place, organizations can steer towards effective modernization. Consider the critical area of security controls, for example.

AWS 172
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8 Digital Healthcare Trends For 2025

Perficient

Strict regulations around HIPAA, PHI, and PII create significant barriers, making it difficult to adopt off-the-shelf AI solutions from fields like commerce or digital experience. This approach ensures that AI drives tangible value, tailored to the unique needs and strengths of the organization. billion by 2030.

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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

The insurance industry is notoriously bad at customer experience. In the last few years, Chinese tech giants have been making massive strides at becoming the center of insurance innovation. To compete, insurance companies revolutionize the industry using AI, IoT, and big data. Not in China though. Why automate claims?

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Getting specific with GenAI: How to fine-tune large language models for highly specialized functions

CIO

The challenge, as many businesses are now learning the hard way, is that simply applying black box, off-the-shelf LLMs, like a GPT-4, for example, will not deliver the accuracy and consistency needed for professional-grade solutions. The key to this approach is developing a solid data foundation to support the GenAI model.

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

Efficiency is a continual goal for any organization. In a retail operation, for instance, AI-driven smart shelf systems use Internet of Things (IoT) and cloud-based applications to alert the back room to replenish items. This makes for well-run organizations that are better attuned to their needs and those of the people they serve.