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What Is Feature Engineering?

Dataiku

According to Dr. Brownlee, “ feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data.” Jason Brownlee, Ph.D.,

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Salesforce’s Einstein 1 platform to get new prompt-engineering features

CIO

Salesforce is working on adding two new prompt engineering features to its Einstein 1 platform to speed up the development of generative AI applications in the enterprise, a top executive of the company said. The features are expected to be released in the next few days, Cheng said, without giving an exact date.

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What LinkedIn learned leveraging LLMs for its billion users

CIO

With more than 1 billion users globally, LinkedIn is continuously bumping against the limits of what is technically feasible in the enterprise today. For LinkedIn, this was no different, as its road to LLM insights was anything but smooth, said LinkedIn’s Juan Bottaro, a principal software engineer and tech lead.

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GitHub Advanced Security Code Security Configuration

Xebia

GitHub Advanced security has gotten quite a big update in public beta at the moment that helps with the rollout of Advanced Security features across your organization. Previous situation Up to now there where only three options during the rollout: Enable features for new repos only (organization level setting).

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.

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A CIO’s guide to the developer platform: What it is and why you need it

CIO

Reimagine the development process with a platform engineering approach At its core, platform engineering is designed to eradicate these modernization side effects. Consider the developer platform a “product” But the real secret to successful platform engineering is treating that developer platform as a product.

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Salesforce to hire 3,300 staffers as it eyes generative AI opportunity

CIO

The company already has made several product enhancements, especially integrating new generative AI features into its Data Cloud. The new hires, according to Millham, will be divided between sales, engineering, and the team handling the development of its Data Cloud. The plan includes rehiring some of the former employees.

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The Product Dev Conundrum: To Build or Buy in a Digital World?

Speaker: Mark Ridley, Owner and Founder, Ridley Industries

Any PM or technical leader who’s led the charge of building a digital product knows that product engineering is one of the most expensive elements of business. How do you help your engineers get on board with buying instead of building? How do you help your engineers get on board with buying instead of building?

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Unlocking Agile's Missed Potential!

Speaker: Bob Webber, VP Product Flow Optimization, Construx

Product management expected a faster time to market, but they still plan large releases stuffed with features of questionable value. Engineering teams thought they would be given time to build the product correctly, but they are still rushed to deliver features within impossible schedules. What went wrong?

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The 5 Product Discovery Secrets Every PM Should Know

Speaker: Jim Morris, Founder, Product Discovery Group

What's more, they can achieve all this while staying aligned to company goals. Why you should be involving engineers at every stage of the Cycle. Putting solutions to the test, analyzing the results, and creating new features. How can a Product team find that next big idea? This is an exclusive session you don't want to miss!