article thumbnail

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

TechCrunch

The idea, as he explained via email, is that one customer might be more excited about a $5 discount, while another might be more effectively enticed by free shipping, and a third might be completely uninterested because they just made a large purchase. The startup was part of the summer 2020 class at accelerator Y Combinator.

article thumbnail

Your Generative AI strategy could use a startup’s touch

CIO

What are your metrics for success? Use the learnings to avoid making similar missteps with GenAI. You might choose to bring the AI to your data by running an off-the-shelf or open-source solution in your corporate datacenter, ideally reducing complexity and risk. What are your goals with GenAI? Target specific use cases.

Insiders

Sign Up for our Newsletter

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

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

Supporting Diverse ML Systems at Netflix

Netflix Tech

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90
article thumbnail

Deploy foundation models with Amazon SageMaker, iterate and monitor with TruEra

AWS Machine Learning - AI

These foundation models perform well with generative tasks, from crafting text and summaries, answering questions, to producing images and videos. Despite the great generalization capabilities of these models, there are often use cases where these models have to be adapted to new tasks or domains.