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Bandit ML helps e-commerce businesses present the most effective offer to each shopper

TechCrunch

Conti acknowledged that there’s other discount-optimizing software out there, but he suggested none of them offers what Bandit ML does: “off the shelf tools that use machine learning the way giants like Uber, Amazon and Walmart do.” It also raised a $1.32 It also raised a $1.32

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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is also a trade off in balancing a model’s interpretability and its performance.

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

Altexsoft

Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. The insurance industry is notoriously bad at customer experience. Not in China though.

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3 Reasons You Should Add AIOps to Your Tooling Arsenal

OverOps

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Machine learning and artificial intelligence are complex concepts. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it.

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Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding)

AWS Machine Learning - AI

However, off-the-shelf LLMs cant be used without some modification. Additionally, the complexity increases due to the presence of synonyms for columns and internal metrics available. Embedding is usually performed by a machine learning (ML) model. The following diagram provides more details about embeddings.

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What you need to know about product management for AI

O'Reilly Media - Ideas

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Why AI software development is different.