April 15, 2023

6 best practices to develop a corporate use policy for generative AI

The first step to craft your corporate use policy is to consider the scope. For example, will this cover all forms of AI or just generative AI? Focusing on generative AI may be a useful approach since it addresses large language models (LLMs), including ChatGPT, without having to boil the ocean across the AI universe. ... Involve all relevant stakeholders across your organization – This may include HR, legal, sales, marketing, business development, operations, and IT. Each group may see different use cases and different ramifications of how the content may be used or mis-used. Involving IT and innovation groups can help show that the policy isn’t just a clamp-down from a risk management perspective, but a balanced set of recommendations that seek to maximize productive use and business benefit while at the same time manage business risk. Consider how generative AI is used now and may be used in the future – Working with all stakeholders, itemize all your internal and external use cases that are being applied today, and those envisioned for the future.

There Is No Resilience without Chaos

Chaos engineering has emerged as an increasingly essential process to maintain reliability for applications — or in not only cloud native but any IT environment. Unlike pre-production testing, chaos engineering involves determining when and how software might break in production by testing it in a non-production scenario. In this way, chaos engineering becomes an essential way to prevent outages long before they happen. ... Chaos engineering, when done properly, requires observability. Problems and issues that can cause outages and the greater performance can be detected well ahead of time as bugs, poor performance, security vulnerabilities, etc. become manifest during a proper chaos engineering experiment. Once these bugs and kinks that can potentially lead to outages if left unheeded are detected and resolved, true continued resiliency in DevOps can be achieved. In the event of a failure, the SRE or operations person seeking the source of error is often overloaded with information.

Data Governance: Simple and Practical

Purpose-driven data governance programs narrow their focus to deliver urgent business needs and defer much of the rest, with a couple caveats. First, data governance programs are doomed to fail without senior executive buy-in and continuous engagement of key stakeholders. Without them, no purpose can be fulfilled. Second, data governance programs must identify and gain commitment from relevant (but perhaps not all) data owners and stewards, but that doesn’t necessarily mean roles and responsibilities need to be fully fleshed out right away. Identify the primary purpose then focus on it – sounds like a simple formula, but it’s not obvious. Many data governance leaders are quick to define and pursue their three practices or five pillars or seven elements, and why shouldn’t they? They need those capabilities, but wanting it all comes at the sacrifice of getting it now. Generate business value with your primary purpose before expanding. ... An insurer explained to me their dashboards weren’t always refreshed, and when they were, wide fluctuations in values made it impossible to make informed decisions.

What is platform engineering? Evolving devops

The developer portal is the main mechanism and expression of platform engineering. Its main purpose is to gather together the developer's tooling, documentation, and interactivity in one place. It is a kind of front end to the organization's developer infrastructure. Developer portals (aka internal developer platforms) have evolved out of several needs and trends. This primer on developer portals delineates these tools into three types: universal service catalog, API catalog tied to API gateway, and microservices catalog. APIs figure large in platform engineering because the uptake of microservices architecture has caused a great deal of increased complexity for modern software teams. Orchestrating microservices in a large organization can be very challenging. Just understanding what microservices are involved in a given use case can be difficult. A developer portal offers a unified view into the overall web of microservices. Another aspect of the developer portal is offering a standard framework to combine the tools used by the organization.

EU privacy regulators to create task force to investigate ChatGPT

In a statement posted on its website, the EDPB said the task force was intended to “foster cooperation and to exchange information on possible enforcement actions conducted by data protection authorities.” Last month, Italy’s data privacy regulator issued a temporary ban against ChatGPT over alleged privacy violations relating to the chatbot’s collection and storage of personal data. Italy's guarantor for the protection of personal data ordered the temporary halt on the processing of Italian users’ data by ChatGPT’s parent firm OpenAI, unless it complied with EU privacy laws. In order to have the service reinstated, the Italian guarantor outlined a list of data protection requirements that OpenAI must comply with, including increased transparency into how ChatGPT processes data, the right for nonusers to opt out of having their data processed, and an age-gating system for signing up to the service. In the wake of the ban, OpenAI CEO Sam Altman tweeted: “We of course defer to the Italian government and have ceased offering ChatGPT in Italy (though we think we are following all privacy laws).”

The mechanics of entrepreneurship

Lidow codifies this innovative shove, arguing that entrepreneurs invent and create enduring change in one of three ways: by scaling supply, scaling demand, or scaling simplicity. The first category includes those who scaled up their supply by devising an efficient system and then repeating it. In the late 1700s, the enterprising coin-maker Matthew Boulton, for example, leveraged his superior knowledge of metalworking to create a new process for producing coins quickly and uniformly—spawning countless societal changes. This included the swarm of entrepreneurs in the early- to mid-1800s who conceived the modern railway. Titans of the second category, scaled demand, include cultivators of desire like Wedgwood, Selfridge, and the American PR pioneer Edward Bernays, who coined the phrase “public relations” and created the industry. Through carefully cultivated propaganda campaigns, Bernays convinced wide swaths of folks in the US to support the country’s efforts in World War I and, later, stimulated broad demand for products such as bacon and tobacco.

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