3 Steps To Include AI In Your Future Strategic Plans
AI is complex and multifaceted, so adopting it is not as simple as replacing
legacy systems with new technology. Leaders would need to dig deeper to
uncover barriers and opportunities. This can involve inviting external experts
to discuss AI's benefits and challenges, hosting workshops where team members
can explore different case studies, or creating internal discussion groups
focused on various aspects of AI technology and potential barriers to
adoption. ... A strong strategic plan should clearly link prospective
investments to the organization's purpose and mission. For example, if
customer centricity is central to the mission, any investment in new
technology should directly connect to improving customer outcomes. ... A
strategy plan should not only outline planned AI initiatives but also provide
a clear roadmap for implementation. Given that AI is still evolving, it's
crucial not to create a roadmap in isolation from ever-changing business
challenges, market dynamics, or technological advancements. ... In this
context, an AI strategy roadmap should be emergent— meaning it should be
grounded in key strategic intentions while also being flexible enough to adapt
to unforeseen events or black swan occurrences that necessitate rethinking and
adjustments.
Can Pure Scrum Actually Work?
“Pure Scrum,” described in the Scrum Guide, is an idiosyncratic framework that
helps create customer value in a complex environment. However, five main
issues are challenging its general corporate application:Pure Scrum focuses on
delivery: How can we avoid running in the wrong direction by building things
that do not solve our customers’ problems? Pure Scrum ignores product
discovery in particular and product management in general. If you think of the
Double Diamond, to use a popular picture, Scrum is focused on the right side;
see above. Pure Scrum is designed around one team focused on supporting one
product or service. Pure Scrum does not address portfolio management. It is
not designed to align and manage multiple product initiatives or projects to
achieve strategic business objectives. Pure Scrum is based on far-reaching
team autonomy: The Product Owner decides what to build, the Developers decide
how to build it, and the Scrum team self-manages. ... At its core, pure Scrum
is less a project management framework and more a reflection of an
organization’s fundamental approach to creating value. It requires a profound
shift from seeing work as a series of prescribed steps to viewing it as a
continuous journey of discovery and adaptation.
The Rise of Agentic AI: How Hyper-Automation is Reshaping Cybersecurity and the Workforce
As AI advances, concerns about job displacement grow louder. For years,
organizations have reassured employees that AI will “enhance, not replace”
human roles. Smith offered a more nuanced perspective: “AI will replace tasks,
not people—at least in the near term. Human oversight remains critical because
we still don’t fully understand AI behavior.” In cybersecurity, AI acts as a
force multiplier, streamlining tedious tasks like data analysis and incident
documentation while enabling humans to focus on strategic decisions. This
collaboration allows professionals to do more with less, amplifying
productivity without eliminating the need for human expertise. However, Smith
acknowledged long-term challenges. ... The rise of agentic AI marks a
transformative moment for cybersecurity and the workforce. As organizations
move beyond static workflows and embrace dynamic, autonomous systems, they
gain the ability to respond to threats faster and more efficiently than ever
before. However, this evolution demands a strategic approach—one that balances
automation with human oversight, strengthens defenses against AI-driven
attacks, and prepares for the societal shifts AI will bring.
If ChatGPT produces AI-generated code for your app, who does it really belong to?
From a contractual point of view, Santalesa contends that most companies
producing AI-generated code will, "as with all of their other IP, deem their
provided materials -- including AI-generated code -- as their property."
OpenAI (the company behind ChatGPT) does not claim ownership of generated
content. According to their terms of service, "OpenAI hereby assigns to you
all its right, title, and interest in and to Output." Clearly, though, if
you're creating an application that uses code written by an AI, you'll need to
carefully investigate who owns (or claims to own) what. For a view of code
ownership outside the US, ZDNET turned to Robert Piasentin, a Vancouver-based
partner in the Technology Group at McMillan LLP, a Canadian business law firm.
He says that ownership, as it pertains to AI-generated works, is still an
"unsettled area of the law." ... Piasenten says there may already be some UK
case law precedent, based not on AI but on video game litigation. A case
before the High Court (roughly analogous to the US Supreme Court) determined
that images produced in a video game were the property of the game developer,
not the player -- even though the player manipulated the game to produce a
unique arrangement of game assets on the screen.
Supply Chain Risk Mitigation Must Be a Priority in 2025
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Implementing impactful supply chain protections is far easier said than
accomplished, due to the complexity, scale, and integration of modern supply
chain ecosystems. While there isn't a silver bullet for eradicating threats
entirely, prioritizing a targeted focus on effective supply chain risk
management principles in 2025 is a critical place to start. It will require an
optimal balance of rigorous supplier validation, purposeful data exposure, and
meticulous preparation. ... As supply chain attacks accelerate, organizations
must operate under the assumption that a breach isn't just possible — it's
probable. An "assumption of breach" mindset shift will help drive more
meticulous approaches to preparation via comprehensive supply chain incident
response and risk mitigation. Preparation measures should begin with
developing and regularly updating agile incident response processes that
specifically cater to third-party and supply chain risks. For effectiveness,
these processes will need to be well-documented and frequently practiced
through realistic simulations and tabletop exercises. Such drills help
identify potential gaps in the response strategy and ensure that all team
members understand their roles and responsibilities during a crisis.
The End of Bureaucracy — How Leadership Must Evolve in the Age of Artificial Intelligence
AI doesn't just optimize — it transforms. It flattens hierarchies, demands
transparency and dismantles traditional power structures. For those managers
who thrive on gatekeeping, AI represents a fundamental threat, eliminating
barriers they've spent careers building. Consider this: AI thrives on
efficiency, speed and clarity. Tasks that once consumed hours of human effort
— like vetting vendor contracts or managing customer service inquiries — are
now handled instantly by AI systems. Employees can experiment with bold ideas
without wading through endless committee approvals. But the true power of AI
lies in decentralizing decision-making. By analyzing vast datasets, AI equips
frontline employees with actionable insights that previously required
executive oversight. This creates organizations that are faster, more agile
and less dependent on gatekeepers. ... In an AI-first world, hierarchies will
begin to collapse as real-time data eliminates the need for multiple layers of
oversight, enabling faster and more efficient decision-making. At the same
time, workflows will be reimagined as leaders take on the critical task of
redesigning processes to seamlessly integrate AI, ensuring organizations can
adapt quickly and effectively.
GAO report says DHS, other agencies need to up their game in AI risk assessment
The GAO said it is “recommending that DHS act quickly to update its guidance
and template for AI risk assessments to address the remaining gaps identified
in this report.” DHS, in turn, it said, “agreed with our recommendation and
stated it plans to provide agencies with additional guidance that addresses
gaps in the report including identifying potential risks and evaluating the
level of risk.” ... AI, he said, “is being pushed out to businesses and
consumers by organizations that profit from doing so, and assessing and
addressing the potential harm it may cause has until recently been an
afterthought. We are now seeing more focus on these potential negative
effects, but efforts to contain them, let alone prevent them, will always be
far behind the steamroller of new innovations in the AI realm.” Thomas
Randall, research lead at Info-Tech Research Group, said, “it is interesting
that the DHS had no assessments that evaluated the level of risk for AI use
and implementation, but had largely identified mitigation strategies. What
this may mean is the DHS is taking a precautionary approach in the time it was
given to complete this assessment.” Some risks, he said, “may be identified as
significant enough to warrant mitigation regardless of precise quantification
of that risk.
How CI/CD Helps Minimize Technical Debt in Software Projects
One of the foundational principles of CI/CD is the enforcement of automated
testing. Automated tests, such as unit tests, integration tests, and
end-to-end tests, ensure that code changes do not break existing
functionality. By integrating testing into the CI pipeline, developers are
alerted to issues immediately after they commit code. ... CI/CD pipelines
facilitate incremental and iterative development by encouraging small,
frequent code commits. Large, monolithic changes often introduce complexity
and technical debt because they are harder to test, debug, and review
effectively. ... Technical debt often arises from manual processes that are
error-prone and time-consuming. CI/CD eliminates many of these inefficiencies
by automating repetitive tasks, such as building, testing, and deploying
applications. Automation ensures that these steps are performed consistently
and accurately, reducing the risk of human error. ... Code reviews are a
critical component of maintaining high-quality software. CI/CD tools enhance
the code review process by providing automated feedback on every commit. This
feedback loop fosters a culture of accountability and continuous improvement
among developers.
Cost-conscious repatriation strategies
First, this is not a pushback on cloud technology as a concept; cloud works
and has worked for the past 15 years. This repatriation trend highlights
concerns about the unexpectedly high costs of cloud services, especially when
enterprises feel they were promised lowered IT expenses during the earlier
“cloud-only” revolutions. Leaders must adopt a more strategic perspective on
their cloud architecture. It’s no longer just about lifting and shifting
workloads into the cloud; it’s about effectively tailoring applications to
leverage cloud-native capabilities—a lesson GEICO learned too late. A holistic
approach to data management and technology strategies that aligns with an
organization’s unique needs is the path to success and lower bills.
Organizations are now exploring hybrid environments that blend public cloud
capabilities with private infrastructure. A dual approach, which is nothing
new, allows for greater data control, reduced storage and processing costs,
and improved service reliability. Weekly noted that there are ways to manage
capital expenditures in an operational expense model through on-premises
solutions. On-prem systems tend to be more predictable and cost-effective over
time.
Cyber Resilience: Adapting to Threats in the Cloud Era
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Use cloud-native security solutions that offer automated threat detection,
incident response, and monitoring. These technologies ought to be flexible
enough to adjust to changes in the cloud environment and defend against new
risks as they arise. ... Effective cyber resilience plans enable businesses to
recover quickly from emergencies by reducing downtime and maintaining
continuous service delivery. Businesses that put flexibility first can manage
emergencies with few problems, which helps them keep the confidence and trust
of their clients. Cyber resilience strongly emphasizes flexibility, enabling
companies to address new risks in the ever-evolving digital environment.
Businesses can lower financial losses and safeguard their reputation by
concentrating on data protection and breach remediation. Finding and fixing
common setup mistakes in cloud systems that could lead to security issues and
data breaches requires using Cloud Security Posture Management (CSPM) tools.
... Because criminals frequently use these configuration errors to cause data
breaches and security errors, it is essential to identify them. Organizations
may monitor their cloud environments and ensure that settings follow security
best practices and regulations by using CSPM solutions.
Quote for the day:
"Listen with curiosity, speak with
honesty act with integrity." -- Roy T Bennett
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