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But here’s what makes this particularly fascinating from a market development perspective: this explosive growth is happening while the underlying technology is admittedly broken. Enterprise-grade capabilities are minimal. This is category emergence at unprecedented velocity. Security vulnerabilities are well-documented.
Bessemer’s Talia Goldberg and Google Cloud’s COO Francis Duza were kind enough to join us at SaaStr AI Summit 2025 on what’s driving the fastest technology adoption in decades. This isn’t just about improving productivity; it’s about expanding the entire addressable market for technology companies.
Cost and Maintenance of Training Fine-tuning an LLM on new data or keeping it updated is not only expensive, its also technically challenging and requires time. Fewer hallucinations also mean less manual review or correction of the AIs outputs, saving time. RAG offers a more efficient alternative.
The platform is fully enterprise-ready – integration with enterprise IDPs, SAML and OIDC protocols, and includes a customer-facing including Social SSO – all available with a fully embeddable login box. . #5 PING is offering comprehensive SSO capabilities to banks, hospitals, and other healthcare operations.
Most companies, particularly larger enterprises, want proof from their third party vendors that their sensitive data is protected when it handed over to you and while you store in the cloud. With a SOC 2 report, businesses will spend less time performing duediligence as part of the sales cycle.
Tech giants (Googles Gemini, Metas LLaMA) and startups worldwide are launching generative AI models. Pros and Cons Pros DeepSeek is highly cost-efficient, open-source, and surprisingly capable (benchmarks report it beats many older models Its MIT-licensed model can be fine-tuned for enterprise data without API fees.
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