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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact. Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies.

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How IBM Sees AI Changing the Game for Companies of All Sizes with IBM’s VP of Technology and Director of Startups

SaaStr

At IBM, however, over the last month, across 200k plus employees, they’ve had everyone creating their own AI applications using Watson X because they want everyone, regardless of company size, to be able to use it. Talent Customer Service App modernization Talent None of us can build a successful company without thinking about talent.

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The Rise of Data Lakes in Software Architecture

Tom Tunguz

Historically, software-as-a-service (SaaS) has been built on databases with structured data, as you might find in an Excel spreadsheet. But the ability of large language models to extract insights from unstructured information changes this architecture : data repositories like data lakes are becoming essential parts of modern SaaS stacks.

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Investing in Tigris

Andreessen Horowitz

Lately, we’ve seen the rise of a number of hosting platforms that are better aligned with modern development practices. However, storage has been a key issue for moving applications wholesale to these new clouds. Tigris is built to make the application developer’s job as simple as possible.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. 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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Investing in Upstash

Andreessen Horowitz

By that, we mean services that scale to zero, are globally distributed, and scale up based on demand. First, application logic is becoming event-driven for new apps, necessitated by high volume and low-latency communication between third-party APIs and microservices. The serverless platform shift is unfolding at a rapid pace.

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Klaviyo: Benchmarking the S-1 Data

Clouded Judgement

Our modern and intuitive SaaS platform combines our proprietary data and application layers into one vertically-integrated solution with advanced machine learning and artificial intelligence capabilities. Application Layer. ” “Data Layer.