Remove Artificial Inteligence Remove Product Management Remove Software Engineering
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5 Things To Look For When Evaluating AI Startups

Crunchbase News

Roughly 75% of that value will emanate from productivity gains across customer operations, sales and marketing, software engineering, and R&D. Standard products include employee copilots, content generation for marketing, back-office automation and enterprise knowledge search. Below are five things to look for.

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5 findings from O'Reilly's machine learning adoption survey companies should know

O'Reilly Media - Data

New survey results highlight the ways organizations are handling machine learning's move to the mainstream. As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work. What metrics are used to evaluate success?

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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning - AI

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt.

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Practical Skills for The AI Product Manager

O'Reilly Media - Ideas

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

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Remember when developers reigned supreme? The market for software coding goes soft

CIO

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. An example of the new reality comes from Salesforce.

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Devs gaining little (if anything) from AI coding assistants

CIO

Uplevel’s study was driven by curiosity over claims of major productivity gains as AI coding assistants become ubiquitous, says Matt Hoffman, product manager and data analyst at the company. A GitHub survey published in August found that 97% of software engineers, developers, and programmers reported using AI coding assistants.

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LexisNexis rises to the generative AI challenge

CIO

We will pick the optimal LLM. We’ll take the optimal model to answer the question that the customer asks.” But perhaps the biggest benefit has been LexisNexis’ ability to swiftly embrace machine learning and LLMs in its own generative AI applications. We use AWS and Azure. In total, LexisNexis spent $1.4