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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

Data 211
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Top 10 Trends for Data in 2024

Tom Tunguz

At the IMPACT Summit yesterday, I shared our Top 10 Trends for Data in 2024. LLMs Transform the Stack : Large language models transform data in many ways. First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data.

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Best Secure Software Development Framework Practices

Audacix

Table Of Contents As per the Data Breach Investigation Report 2023 , an alarming 74% of data breaches happened due to human elements such as human engineering error, misuse, or attack. As cyber threats continue to evolve and grow, you must adopt a proactive approach to safeguard your applications and data.

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Best Secure Software Development Framework Practices

Audacix

Table Of Contents As per the Data Breach Investigation Report 2023 , an alarming 74% of data breaches happened due to human elements such as human engineering error, misuse, or attack. As cyber threats continue to evolve and grow, you must adopt a proactive approach to safeguard your applications and data.

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

User Pilot

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. Applying different analytics tools to obtain specific insights from product usage data , like funnel and paths analysis to identify friction points.

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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.