Remove category platform-engineering
article thumbnail

How to Use Generative AI and LLMs to Improve Search

TechEmpower SaaS

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. Rather than matching exact terms and requiring specific field values as inputs, it interprets and understands user queries, pinpointing the desired types or categories.

AI Search 519
article thumbnail

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

SaaStr

Starting with the middle layer, it’s fundamental that there’s some form of AI and data platform. At IBM, they launched Watson X, their approach to an AI and data platform mainly focused on B2B. This platform lets you do all model training, development, deployment, prompt-tuning, and fine-tuning.

AI 230
Insiders

Sign Up for our Newsletter

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

article thumbnail

My App Stack: Rik Haandrikman, VP of Marketing at RevenueCat

SaaStr

It’s very much built for product and engineering teams, but because we interact with both regularly (both internally as well as as an audience), it makes sense for us. It’s still ‘source of truth’ for processes, meeting notes, and such, but we’ve since moved our task and project management to Linear.

Marketing 210
article thumbnail

Buyer Trends: Top Insights from $3B in SaaS Transactions with Vendr

SaaStr

This means higher engineering costs for companies and, so, higher software prices. We believe the most successful companies will aim to drive growth by investing more in R&D, engineering, AI, strategic integrations, and becoming more than just a point solution.” – Swank. The bottom Line? The best product will win.

article thumbnail

Scaling Past $10M ARR: Listening to the Market and Defying Tradition with WorkRamp CEO Ted Blosser (Video)

SaaStr

It has now secured over $67M in funding and offers a robust platform for mid-market and SMB segments. A mass exodus of engineers limited new deployments. Great Startups Create Their Own Categories.” It’s undoubtedly true that creating a new category can propel a company to success. Sign up for free.

Scale 198
article thumbnail

Mastering Partner Marketing: What NOT to Do and How to Excel with Drata CMO Sydney Sloan

SaaStr

They don’t have the bandwidth to support five sub-partners in their category. Look at the most important categories that surround your category. More on this in our post, All Platforms Have Their Favorite Partners. To grow at this pace, you need to have truly great engineering products that innovate faster.

AWS 213
article thumbnail

Sequoia India: 22 Things We Learned from SaaStr Annual

SaaStr

Many of them will get gobbled up by the large platforms. Companies, especially those with an undifferentiated product, may want to think strategically about the evolution of their respective category and the path towards building a platform. . Platforms, however, can scale. Org Building Ideas for Cross-Border Companies.

Scale 222