Government Related Topics 
SaaStr
JUNE 21, 2025
Category Analysis: The New SaaS Hierarchy Tier 1: AI + Government = Money Printer Average Return: +165.2% The Government AI Arms Race Every government agency suddenly has unlimited AI budgets. Expect 3-5 companies to go from unknown to $10B+ valuations based purely on government AI contracts. It’s already started.
SaaStr
OCTOBER 23, 2024
Growth Has Re-Accelerated Fueled by commercial and government contracts, and by AI-related demand in both, Palantir is seeing growth re-accelerate from 2023. Palantir is closing big, big deals and its roots are in government and defense. Billion in ARR Growing 27%, and importantly — re-accelerating. Let’s dig in.
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SaaStr
JUNE 25, 2025
AI Governance Committee Rather than treating AI adoption as purely a technology initiative, Rubrik established an AI governance committee including InfoSec, Legal, and business stakeholders. This committee evaluates AI tools and use cases for security and compliance before deployment.
SaaStr
JULY 23, 2025
Addressable Users: 800M+ knowledge workers globally 50M small business owners 100M government employees worldwide 200M educators and students Total: ~1.1B Horizon 3: Universal Software Creation (2030+) TAM: $100B-1T+ The moonshot scenario where vibe coding becomes as ubiquitous as spreadsheets.
Advertiser: Data Robot
Download this Special Report by MIT Sloan Management Review to learn about: The concept of radicalness and how its intertwined with innovations Innovative governance ideas that have the potential to influence organizational changes Simple decisions that can set teams on a path toward either incremental or breakthrough innovations
SaaStr
JUNE 2, 2025
” Snowflake’s Enterprise-Focused Approach Snowflake’s strategy targets enterprise customers and government agencies. With this news, we will be introducing Snowflake Postgres: enterprise-grade, AI-ready, and fully managed. .”
SaaStr
JUNE 19, 2025
With Duplo’s platform, companies can: Accelerate time-to-market with automated infrastructure provisioning Reduce operational costs through intelligent resource optimization Ensure compliance and security with built-in governance frameworks Scale effortlessly as their business grows Duplo Cloud has become the go-to choice for B2B companies looking (..)
Advertiser: Data Robot
To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance. Download today to find out more!
Advertiser: Data Robot
Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub. As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.
Advertiser: Data Robot
The importance of governance in ensuring consistency in the modeling process. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.
Advertiser: Data Robot
Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance. AI operations, including compliance, security, and governance. We also look closely at other areas related to trust, including: AI performance, including accuracy, speed, and stability.
Advertiser: Infinicept
Payment facilitators are obligated to follow rules and regulations from the multiple entities that govern the payments ecosystem. Compliance is achieved by implementing the appropriate processes needed to adhere to these rules and remaining aware of changing conditions.
Advertiser: ZoomInfo
However, as a company, sales stack, and database grow, it becomes difficult to uphold structure and governance to keep a CRM up-to-date. When used effectively, a CRM can be the lifeblood of your sales team – keeping everyone organized, efficient, and at peak productivity. The result? Less organization, more confusion, and fewer deals closed.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.
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