Government Related Topics 
Scytale
AUGUST 5, 2024
Welcome to the exciting and complex world of AI policy and governance! Think of AI policy and governance as the rules of the road for AI technologies, ensuring they drive us toward a future that’s innovative, ethical, and beneficial for all. Ready to dive in? Let’s do this! But why is this so important?
Andreessen Horowitz
NOVEMBER 3, 2021
As DeFi and NFT communities grow enormously in size, how to govern decentralized protocols takes on added importance. Now and over the next few years, one of the most immediate challenges facing these communities is to figure out governance — the act of managing collective decision-making in order to optimize funds and operations.
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Intercom, Inc.
AUGUST 3, 2020
As global unemployment rates continue to grow, people are looking to government for guidance, reassurance, and financial assistance. In the US, individuals who have recently lost their job or whose income has been impacted can apply for government benefits. Here’s their story. ” Source: Code for America.
Andreessen Horowitz
FEBRUARY 5, 2021
Crypto protocols are meant to be governed by a decentralized community of stakeholders.
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
SaaS Metrics
SEPTEMBER 25, 2023
Enter AI-Driven SaaS Governance—a powerful ally in your security toolbox. What is AI-Driven SaaS Governance? Read more The post AI-Driven SaaS Governance: Ensuring Cloud Security first appeared on SaaS Metrics. You need robust security to guard against ever-evolving threats.
IT World
JUNE 5, 2023
The stakes are high — just last week, technology leaders signed an open public letter saying that if government officials get it wrong, the consequence could be the extinction of the human race. To read this article in full, please click here
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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