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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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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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How to Accelerate Production Deployment and Embed Trustworthy AI into Commercial Solutions with IBM Embeddable AI Leader George Kreitler

SaaStr

A lot of folks are skeptical about AI and what it’ll do as far as displacing workers, how decisions that are AI-driven will be made, and how we know the data underlying those decisions. You also need data for success. With long-term success comes some approach towards governance, which includes data and AI governance.

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ISVs vs SaaS: What’s the Difference?

Stax

Independent Software Vendors (ISVs) and Software-as-a-Service Providers (SaaS) operate within the same market, thus creating a push-and-pull revenue dynamic. TL;DR ISVs develop and distribute software products independently and often collaborate with hardware manufacturers and platform providers. Learn More What are ISVs?

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Episode 42: A Mistake in Every Sentence

Sales Hacker

We have centers of excellence in Cloud, Custom Software Development, DevOps, PEGA, SaaS, AI, Data warehousing, Data Analytics, BI, and Testing. Subject : Lavender Size: Are you outsourcing? Is the team outsourcing some of that work today? We would be happy to be a seamless extension of your team.

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How to Measure Software ROI For SaaS Products

User Pilot

It also helps justify software implementation costs, decide between in-house and third-party solutions, and assess software performance. For custom software development in-house, consider factors like development, implementation, maintenance costs, staff onboarding , and missed opportunities.

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Run Less Software

Intercom, Inc.

are making it easier and faster for software developers to develop complex software applications atop this infrastructure. What took you months to ideate, design and develop can now be copied in days or weeks thanks to these new tools. This is the essence of what the philosophy of Run Less Software is all about.