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

TechCrunch

Bandit ML aims to optimize and automate the process of presenting the right offer to the right customer. Conti (who founded the company with Lionel Vital and Joseph Gilley) is a former Uber software engineer and researcher himself. The startup was part of the summer 2020 class at accelerator Y Combinator. It also raised a $1.32

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Your Generative AI strategy could use a startup’s touch

CIO

If your business relies heavily on software engineering, you might consider trying tools that will help support your developers with code creation, such as paired programming. The relative newness of GenAI makes it exciting, but also presents something of a Wild West dilemma. Adopt a product mindset. Build the right guardrails.

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The Process Automation Map

Bernd Rucker

In this case, the decision is not too hard: as thousands of companies have the exact same requirements you have, you can simply buy a standard HR software or leverage an off-the-shelf cloud service around payroll. Buying standard software again, probably customizing it to your specific needs? How could you go about this?

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

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Technical Feasibility in Software Engineering: Things to Consider Before Development Starts

Altexsoft

Technical feasibility inspects whether software can be built at all with available tools and experts. In software engineering, technical feasibility (TF) is the most time-consuming and complex part of the full feasibility analysis. Tech miscalculations are not unique to ambitious, state-backed space endeavors.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

mainly because of mundane reasons related to software engineering. mainly because of mundane reasons related to software engineering. They know that feature engineering is critical for many models, so they want to stay in control of model inputs and feature engineering logic.

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AI Product Management After Deployment

O'Reilly Media - Ideas

In traditional software engineering, precedent has been established for the transition of responsibility from development teams to maintenance, user operations, and site reliability teams. The field of AI product management continues to gain momentum. New features in an existing product often follow a similar progression.