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.
3 IT leadership mistakes to avoid
The first exercise we undertook was brainstorming and agreeing on a set of
operating principles, such as all ideas would be respected regardless of which
side they came from; facts and data—not emotion—would drive decision-making;
and creating a positive client experience would be our collective North Star.
These principles became our rallying cry and helped lead the team to a very
successful client conversion. Contrast that with leaders who set rigid rules
for their teams to follow. Leading by a set of hard rules will limit
innovation, hinder individual and team development, and create a constant need
to add or modify the rules as situations change. ... There is no such thing as
a perfect organizational structure—there’s only an array of alternatives, each
with its own respective strengths and weaknesses. The only way to make an
inherently flawed organizational structure work is to have individuals
collaborate under a common strategy, purpose, and shared goals. Great teams
also take individuals who are willing to sacrifice for the good of the
whole.
Data leader Tejasvi Addagada on the value of data governance
If data is siloed, it cannot be used for developing insights and products. For
an organization that is yet to invest in managing its data and thinks
centralization is costly or a bottleneck, a data mesh architecture is a
decentralized approach at its core, with its domain team ingesting its
operational and analytical data and developing data products. ... From the
initial concept of corporate governance, IT governance has evolved into the
recent concept of data governance. Globally, the adoption of cloud services,
the evolution of modern data stacks, and improved data literacy have led to a
greater interest in governing data over the past years. Implementing data
governance is necessary to get sustainable value from data. A subfunction can
be formalized as an authorized provisioning service. It can support activities
that help ensure that a data element can be rightfully sourced from a
designated provisioning point. In addition, it can have the domain team
express their trust in certifying data as a system of record as well as
authorized to provision.
Google Cloud Unveils AI Tools to Streamline Preauthorizations
“The Claims Acceleration Suite’s Claims Data Activator uses Document AI,
Healthcare Natural Language API, and Healthcare API to convert this
unstructured data to structured data and establish data interoperability,”
Waldron says. “This speeds up the process, and significantly reduces
administrative burdens and costs, enabling experts to make faster, more
informed decisions that improve patient care.” A quick prior authorization
process is essential to speeding up the process for a patient who may need
approval for transportation to an important medical procedure such as a
colonoscopy, according to Waldron. Patients also seek prior authorizations to
use a digital device as part of weight management or a care management plan
for conditions such as diabetes. A goal of Google’s Claims Data Activator is
to make healthcare prior authorization data more interoperable, or accessible
for all parties.
Data sharing between public and private is the answer to cybersecurity
Businesses and governments are already interlinked in their attempts to keep
ahead of cybercriminals. You only need to look at examples of the recent Royal
Mail attack, which saw the NCSC and the business working together to reduce
its impact. And across the Pond, Biden’s newly announced Cybersecurity
Strategy will focus on ensuring closer collaboration on cyber between
government and industry. Whilst all of this is moving in the right direction
in this regard, there’s more work to be done to create more intentional and
systematic cross-sharing and learning from one another. To kickstart the open
flow of knowledge in the industry, both public and private organizations could
sponsor a wider peer network for security experts that streamlines
intelligence from private to public or vice versa and offers support. Gartner
offers a Peer Connect network of business leaders that encourages the open
discussion of trends and ideas, critical to business decision-making.
Quote for the day:
"A leader's dynamic does not come from
special powers. It comes from a strong belief in a purpose and a willingness
to express that conviction." -- Kouzes & Posner
No comments:
Post a Comment