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The Convergence of Data & Software Engineering in the Age of AI

Tom Tunguz

The patois of data teams has become a dialect of modern engineering teams because the commonalities in the stack. Machine learning’s demand for data has accelerated this movement because AI needs data to function. Twenty years ago, the data team meant managing centralized BI & producing analysis in Excel.

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Managing Data as Product : Office Hours with Philip Zelitchenko

Tom Tunguz

am Pacific, Office Hours will host Philip Zelitchenko , VP of Data at ZoomInfo to discuss Managing Data as Product. Recently, Philip shared his management techniques to run a data team like a standard product software development function with some key nuances. On December 14th at 9.30

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Product Dogfooding in Software Development: A Quick Guide (+Best Practices)

User Pilot

The term comes from a commercial and was first used in the software context by a Microsoft manager in 1988. First, you teach them how to use the product so that they can test it thoroughly without relying on the customer support team or software developers for guidance. TL;DR Product dogfooding is a testing practice.

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Best DAST tools for DevOps & software development teams

Audacix

Table Of Contents The strangest reality of application security in the age of "shift left" is the poor understanding of DAST tools (dynamic vulnerability scanning tools) and, particularly, the value that they the offer as part of a modern software development lifecycle. Github) and your preferred CICD pipeline orchestration tool (eg.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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Best DAST scanning tool for DevOps-enabled software development teams

Audacix

The strangest reality of application security in the age of "shift left" is the poor understanding of DAST scanning tools (dynamic vulnerability scanning tools) and, particularly, the value that they the offer as part of a modern software development lifecycle. Github) and your preferred CICD pipeline orchestration tool (eg.

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Best Data Analysis Software

Neil Patel

The thing about data is it helps you make better business decisions. Everyone has questions when it comes to choosing data analysis software. Why are there so many data analytics tools? You have to arrange your data, explain it, present it properly, and then derive a conclusion from it. Let’s begin! User Skillset.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.