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How AI orchestration has become more important than the models themselves

CIO

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. Large language models (LLMs) just keep getting better. From Llama3.1 to Gemini to Claude3.5

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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. The data shelf life is decreasing,” said Marr. Static, historical data is no longer enough. .

Analytics 101
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IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions

CIO

In healthcare, securing personal health data is key, governed by national standards laid out by the Health Insurance Portability and Accountability Act (HIPAA). Modernization journeys are complex and typically highly custom, dependent on an enterprise’s core business challenges and overall competitive goals.

AWS 172
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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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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. Healthcare Trend #1: AI Disruption and Enablement Healthcare has seen a surge of interest in AI, with the market set to soar to $187.95 billion by 2030.

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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

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. 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.