Remove Insurance Remove Machine Learning Remove Off-The-Shelf
article thumbnail

Taktile makes it easier to leverage machine learning in the financial industry

TechCrunch

Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.

article thumbnail

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

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Black Box Machine Learning in the Cloud

Erik Bernhardsson

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Focusing on a particular niche makes it easier to build something that works off the shelf.

article thumbnail

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?

article thumbnail

Black Box Machine Learning in the Cloud

Erik Bernhardsson

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Focusing on a particular niche makes it easier to build something that works off the shelf.

article thumbnail

Machine Learning Use Cases: iTexico’s HAL

iTexico

Machine Learning Use Cases: iTexico’s HAL. The smart reply function utilizes machine learning to automatically suggest three different brief, customized responses to quickly answer any emails you may receive. Small cameras, placed on top of shelves, monitor and stream real-time information on shelf-stock levels.

article thumbnail

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. Insurance and finance companies leverage this speed to review claims, loan requests, and credit checks. Benefits aplenty. Faster decisions . Error reduction.