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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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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.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

With AI, financial institutions and insurance companies now have the ability to automate or augment complex decision-making processes, deliver highly personalized client experiences, create individualized customer education materials, and match the appropriate financial and investment products to each customer’s needs.

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Cybersecurity Snapshot: NIST Program Assesses How AI Systems Will Behave in the Real World, While FBI Has Troves of Decryption Keys for LockBit Victims

Tenable

Check out the new ARIA program from NIST, designed to evaluate if an AI system will be safe and fair once it’s launched. 1 - NIST program will test safety, fairness of AI systems Will that artificial intelligence (AI) system now in development behave as intended once it’s released or will it go off the rails?

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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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AI-First Benefits: 5 Real-World Outcomes

Cloudera

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI increasingly enables systems to operate autonomously, making self-corrections automatically as necessary. Benefits aplenty.

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Digital Asset Management System – A must-have for all businesses

Trigent

Major industries such as retail, manufacturing, import-export houses, insurance, finance, and logistics companies are all in various stages of digital transformation. Major industries such as retail, manufacturing, import-export houses, insurance, finance, and logistics companies are all in various stages of digital transformation.