Remove AI Remove Azure Remove Scaling Remove Software Development
article thumbnail

AI Copilots and the Future of Knowledge Work

Andreessen Horowitz

This conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.

AI 100
article thumbnail

Best Data Analysis Software

Neil Patel

If you need a solution that’s up and running within four weeks, it would be unwise to buy a software tool with a four-month implementation timeframe. To get a better idea about the time-to-implement, speak to the service provider or the software developer. Reporting Tool Availability.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

15 Best Product Management Software Tools for PMs in 2023

User Pilot

Key features Product strategy and vision tools Product portfolio management Feedback tools Backlog management Story mapping Prioritization using well-known frameworks Capacity planning Roadmapping Integrations with project management, collaboration, communication, software development, and design tools Pricing Craft.io

article thumbnail

What Are SaaS Products + 22 Successful SaaS Companies to Follow

User Pilot

It’s suitable for businesses wanting control over their infrastructure and the ability to scale. Key examples are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which provide scalable resources like virtual servers and storage. This lets you focus more on core activities rather than software development.

article thumbnail

Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

If you want features in your lakehouse (on top of open source Iceberg) for ingestion, CDC, streaming (file loading, Kafka connect, etc), schema evolution, compaction, optimization, time travel, snapshots, auto-scaling, maintenance (no more writing spark jobs to delete snapshots!), However, the two are intertwined together. Let's dive in.

Data 130
article thumbnail

SaaStr Podcasts for the Week with Justin Bedecarre, Jen Nguyen, Jason Lemkin, and Aaron Levie

SaaStr

Justin Bedecarre: And then another client of ours is an international company that has decided that they truly want to scale up in San Francisco. We don’t know when we’re going to be able to get safely back at scale. And they’re going to reduce their commute by 45 minutes. We’ve been doing it for over a decade.