Four Ways the Evolution of AI Is Changing the Corporate Governance Landscape
There is no doubt that AI has been touted as the long-awaited answer to
everyone’s productivity and efficiency woes. Tools like ChatGPT can do
everything from generating interview questions to writing a song. It can create
pictures, deliver data, and solve complex problems. Yet AI is not without its
issues, and some believe that the most pressing dangers associated with this
technology have not even begun to emerge. AI giants have been very clear that
society must pay close attention to AI development. It’s crucial for directors
and investors alike to understand that while science fiction movies seem like
they belong in a fantasy realm, the reality they depict may not be as
far-fetched as it seems. Similarly, scientists cannot take for granted that a
bent toward corporate profit won’t motivate boards to push AI developers in that
same direction. Instead of making an attempt to battle the behemoth of monetary
thirst, it may be a better idea to come up with creative ways to make social
goals and AI safety profitable. If developers can’t overcome the opposing
viewpoint, why not try to find a way to join them?
The Incident Lifecycle: How a Culture of Resilience Can Help You Accomplish Your Goals
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There are three points within the incident lifecycle where we can focus time
and energy to improve the learning cycle and gain some bandwidth to improve
resilience in the system. It’s not easy, because you’ll generally have to make
small adjustments and changes along the way. CTOs won’t generally approve
$100,000 for cross-incident analysis (that won’t be a marketable improvement
to stakeholders) without evidence that it’s helpful. ... You need perspectives
from across the organization. The discussion shouldn’t include only the
incident manager and the person who pushed the bad code. I find that folks in
marketing, product management, and especially customer support have great
insights into the impact of an incident. When you meet, make sure it's an
open conversation – the person facilitating should be talking less than anyone
else in the room. This way, you will capture how this incident affected
different groups. You may learn, for example, that the on-call engineer lacked
dashboard access or customer support got slammed with complaints.
Nurturing Leadership Through The Power Of Reading
The most straightforward yet impactful way reading can contribute to
self-development is through gaining knowledge. Whether extracting insights
from books, articles or research papers, immersing oneself in written content
is a foundational pillar of continuous development. This direct approach is
not just about gathering information; it's also about internalizing concepts
and lessons to create a reservoir of intellectual wealth for informed
decision-making and sustained professional evolution. The simple power of
reading remains a reliable means of absorbing knowledge—a timeless practice
that can help propel individuals toward continuous growth and success. ...
Reading also facilitates internal exploration. Self-help and philosophical
literature invite introspection, which can nurture profound self-awareness.
Atomic Habits by James Clear, for example, provides actionable insights for
leaders seeking to enhance their habits and maximize their potential,
fostering a deeper understanding of personal strengths and
weaknesses.
CI Is Not CD
A crucial difference I’ve often observed is that CI and CD tools have
different audiences. While developers are often active on both sides of CI/CD,
CD tools are frequently used by a wider group of people. ... CD tools have a
range of subtle features that make it easier to handle deployment scenarios.
They have a way to manage environments and infrastructure. This mechanism
applies the correct configuration for each deployment and provides a way to
handle deployments at scale, such as managing tenant-specific infrastructure
or deployments to different locations (such as retail stores, hospitals or
cloud regions). Alongside practical deployment features, CD tools also make
the state of deployments visible to everyone who needs to know what software
versions are where. This removes the need for people to ask for status
updates, just as your task board handles work items. If you want to know your
bank balance, you don’t want to phone your bank; you want to self-serve the
answer instantly. The same is true for your deployments.
Managing CEO expectations is this year’s Priority No. 1
Today’s CEOs are more likely to get their IT visions from stories written by
credulous writers authoring for online business media. That’s if we’re lucky.
If we aren’t, they’ll want Tony Stark’s ability to conjure up high-tech
solutions by gesticulating into a 3D touch interface while arguing with the AI
that ran the Iron Man’s lab. That leaves it up to you, your company’s
hard-working CIO, to temper the CEO’s expectations from what they infer from
the Marvel Cinematic Universe to Earth 2024. Because CEOs’ real reality
(“real” by definition) is likely to be disappointing compared to the MCU and
other semi-fictional realities they see, hear of, or imagine, CIOs can worry a
little less about how IT might disappoint them on this score. ... Okay, fair’s
fair and fun’s fun. But few CEOs will be completely consumed by these
semi-whimsical depictions of information technology’s future. They’ll continue
to have practical concerns, too, like where all the money is that cloud
computing was supposed to save them. Some disappointments, that is, are both
evergreen and rooted in real reality.
Embracing offensive cybersecurity tactics for defense against dynamic threats
The essence of a coalition approach in offensive cyber operations is
straightforward: combining forces to enhance cyber defense capabilities. This
approach is critical in today’s world, where cyber threats transcend national
borders. By pooling resources, knowledge, and intelligence, a coalition
approach facilitates a more comprehensive and effective response to cyber
threats. In the financial industry for example we have FS-ISAC that supports
all these. Effective implementation involves establishing clear communication
channels, defining shared objectives, and ensuring mutual trust among
participating entities. ... Looking ahead, the line between offense and
defense in cybersecurity is blurring. The future I envision is one where these
two are not distinct entities but different aspects of a singular, holistic
strategy. Offensive tools will be used not just to attack but to inform, to
scout for threats and act before they materialize. This integrated approach is
akin to a martial artist’s stance, ready to block and strike
simultaneously.
CES 2024: Will the Coolest New AI Gadgets Protect Your Privacy?
As Tschider points out, "COPPA doesn’t have any cybersecurity requirements to
actually reinforce its privacy obligations. This issue is only magnified in
contemporary AI-enabled IoT because compromising a large number of devices
simultaneously only requires pwning the cloud or the AI model driving function
of hundreds or thousands of devices. Many products don't have the kind of
robust protections they actually need." She adds, "Additionally, it relies
primarily on a consent model. Because most consumers don't read privacy
notices (and it would take well over a hundred days a year to read every
privacy notice presented to you), this model is not really ideal." For
Tschider, a superior legal framework for consumer electronics might take bits
of inspiration from HIPAA, or New York State's cybersecurity law for financial
services. But really, one need only look across the water for an off-the-shelf
model of how to do it right. For cybersecurity, the NIS 2 Directive out of the
EU is broadly useful," Tschider says, adding that "there are many good
takeaways both from the General Data Protection Regulation and the AI Act in
the EU."
Critical Components for Data Fabric Success
In a physical data fabric, users access data, run analytics on it, or use APIs
at a consumption layer to deliver the data wherever it is needed. Prior to
that, data is modeled, prepared, and curated in the discovery layer, and
transformed and/or cleansed as needed in the orchestration layer. In the
ingestion layer, data is drawn from one or more data sources (which can be on
premises or in the cloud) and stored in the persistence layer, which is
usually a data lake or data warehouse. Logical data fabrics integrate data
using data virtualization to establish a single, trusted source of data
regardless of where the data is physically stored. This enables organizations
to integrate, manage, and deliver distributed data to any user in real time
regardless of the location, format, and latency of the source data. Unlike a
logical data fabric, a physical data fabric requires the ability to physically
centralize all the required data from multiple sources before it can deliver
the data to consumers. Data also needs to be physically transformed and
replicated every time and be adapted to each new use case.
Boost Your Business With Digital Twin Technology
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Digital twins allow businesses to answer questions that can directly impact
strategic and operational decisions. “Organizations can move from answering
simple questions about asset performance to understanding how these assets --
machines, assembly lines, supply chains -- will operate in the future, and
what actions the business can take to meet performance and uptime goals,” Mann
explains. Manufacturers are the businesses most likely to gain value from
digital twin technology. “Manufacturers look to understand the causes of
downtime, model scenarios to improve efficiency, and reduce waste,” says Devin
Yaung, senior vice president, group enterprise, IoT products and services, at
technology and business solutions provider NTT, in an email interview. Digital
twins of individual machines permit instant views into maintenance issues and
potential failures. “The growth of connected IoT sensors and devices has
allowed all industries to gain insights into assets,” Yaung says. “Because of
this explosion of connectivity, we are seeing large adoption not only in
manufacturing but also in utilities, mining, hospitals, ports, airports,
logistics/transportation, agriculture, and many other industries.”
Hey Gen. Z, you’re looking for tech jobs in all the wrong places
The pace of digital adoption and technological change today is far greater
than it's ever been, according to Ger Doyle, senior vice president of US-based
IT staffing firm Experis. The rise AI and genAI is likely to accelerate that
trend, “so new graduates, as well as those in the workforce today, need to
embrace a concept of life-long learning to stay relevant in the new world,”
Doyle said. Pandor agreed: “Candidates should remain consistently curious
throughout the job-searching process. Keeping up to date with the latest
trends and developments in the digital world by reading technical news enables
them to showcase their interest in the ever-changing sector when they do land
a job interview. From a more practical perspective, talent can also continue
to practice and enhance their technical skills while job hunting so that they
are ready to hit the ground running.” Younger job candidates might not be
aware of the breadth and diversity of roles available, Pandor said, and they
shouldn’t rule out other opportunities early in their careers.
Quote for the day:
“Nobody talks of entrepreneurship as
survival, but that’s exactly what it is.” -- Anita Roddick
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