Quote for the day:
“If you want to achieve excellence, you can get there today. As of this second, quit doing less-than-excellent work.” -- Thomas J. Watson
How to Create a Winning AI Strategy
“A winning AI strategy starts with a clear vision of what problems you’re
solving and why,” says Surace. “It aligns AI initiatives with business goals,
ensuring every project delivers measurable value. And it builds in agility,
allowing the organization to adapt as technology and market conditions evolve.”
... AI is also not a solution to all problems. Like any other technology, it’s
simply a tool that needs to be understood and managed. “Proper AI strategy
adoption will require iteration, experimentation, and, inevitably, failure to
end up at real solutions that move the needle. This is a process that will
require a lot of patience,” says Lionbridge’s Rowlands-Rees. “[E]veryone in the
organization needs to understand and buy in to the fact that AI is not just a
passing fad -- it’s the modern approach to running a business. The companies
that don’t embrace AI in some capacity will not be around in the future to prove
everyone else wrong.” Organizations face several challenges when implementing AI
strategies. For example, regulatory uncertainty is a significant hurdle and
navigating the complex and evolving landscape of AI regulations across different
jurisdictions can be daunting. ... “There’s a gap between AI’s theoretical
potential and its practical business application. Companies invest millions in
AI initiatives that prioritize speed to market over actual utility,” Palmer
says.
Work-Life Balance: A Practitioner Viewpoint
Organisation policymakers must ensure a well-funded preventive health screening
at all levels so those with identified health risks can be advised and guided
suitably on their career choices. They can be helped to step back on their
career accelerators, and their needs can be accommodated in the best possible
manner. This requires a mature HR policy-making and implementation framework
where identifying problems and issues does not negatively impact the employees'
careers. Deploying programs that help employees identify and overcome stress
issues will be beneficial. A considerable risk for individuals is adopting
negative means like alcohol, tobacco, or even getting into a shell to address
their stress issues, and that can take an enormous toll on their well-being.
Kindling purposeful passion alongside work is yet another strategy. In today's
world, an urgent task to be assigned is just a phone call away. One can have
some kind of purposeful passion that keeps us engaged alongside our work. This
passion will have its purpose; one can fall back on it to keep oneself together
and draw inspiration. Purposeful passion can include things such as acquiring a
new skill in a sport, learning to play a musical instrument, learning a new
dance form, playing with kids, spending quality time with family members in
deliberate and planned ways, learning meditation, environment protection and
working for other social causes.
The 8 new rules of IT leadership — and what they replace
The CIO domain was once confined to the IT department. But to be tightly
partnered and co-lead with the business, CIOs must increasingly extend their
expertise across all departments. “In the past they weren’t as open to moving
out of their zone. But the role is becoming more fluid. It’s crossing product,
engineering, and into the business,” says Erik Brown, an AI and innovation
leader in the technology and experience practice at digital services firm West
Monroe. Brown compares this new CIO to startup executives, who have experience
and knowledge across multiple functional areas, who may hold specific titles but
lead teams made up of workers from various departments, and who will shape the
actual strategy of the company. “The CIOs are not only seeing strategy, but they
will inform it; they can shape where the business is moving, and then they can
take that to their teams and help them brainstorm how to support that. And that
helps build more impactful teams,” Brown says. He continues: “You look at
successful leaders of today and they’re all going to have a blended
background. CIOs are far broader in their understanding, and where they’re more
shallow, they’ll surround themselves with deputies that have that depth. They’re
not going to assume they’re an expert in everything. So they may have an
engineering background, for example, and they’ll surround themselves with those
who are more experienced in that.”
Managing AI APIs: Best Practices for Secure and Scalable AI API Consumption
Managing AI APIs presents unique challenges compared to traditional APIs.
Unlike conventional APIs that primarily facilitate structured data exchange,
AI APIs often require high computational resources, dynamic access control and
contextual input filtering. Moreover, large language models (LLMs) introduce
additional considerations such as prompt engineering, response validation and
ethical constraints that demand a specialized API management strategy. To
effectively manage AI APIs, organizations need specialized API management
strategies that can address unique challenges such as model-specific rate
limiting, dynamic request transformations, prompt handling, content moderation
and seamless multi-model routing, ensuring secure, efficient and scalable AI
consumption. ... As organizations integrate multiple external AI providers,
egress AI API management ensures structured, secure and optimized consumption
of third-party AI services. This includes governing AI usage, enhancing
security, optimizing cost and standardizing AI interactions across multiple
providers. Below are some best practices for exposing AI APIs via egress
gateways: Optimize Model Selection: Dynamically route requests to AI models
based on cost, latency or regulatory constraints.
Charting the AI-fuelled evolution of embedded analytics
First of all, the technical requirements are high. To fit today’s suite of
business tools, embedded analytics have to be extremely fast, lightweight, and
very scalable, otherwise they risk dragging down the performance of the entire
app. “As development and the web moves to single-page apps using frameworks
like Angular and React, it becomes more and more critical that the embedded
objects are lightweight, efficient, and scalable. In terms of embedded
implementations for the developer, that’s probably one of the biggest things
to look out for,” advises Perez. On top of that, there’s security, which is
“another gigantic problem and headache for everybody,” observes Perez.
“Usually, the user logs into the hosting app and then they need to query data
relevant to them, and that involves a security layer.” Balancing the need for
fast access to relevant data against the needs for compliance with data
privacy regulations and security for your own proprietary information can be a
complex juggling act. ... Additionally, the main benefit of embedded analytics
is that it makes insights easily accessible to line-of-business users. “It
should be very easy to use, with no prior training requirements, it should
accept and understand all kinds of requests, and more importantly, it needs to
seamlessly work on the company’s internal data,” says Perez.
The Ransomware Payment Ban – Will It Work?
A complete, although targeted, ban on ransom payments for public sector
organisations is intended to remove cybercriminals’ financial motivation.
However, without adequate investment in resilience, these organisations may be
unable to recover as quickly as they need to, putting essential services at
risk. Many NHS healthcare providers and local councils are already dealing
with outdated infrastructure and cybersecurity staff shortages. If they are
expected to withstand ransomware attacks without the option of paying, they
must be given the resources, funding, and support to defend themselves and
recover effectively. A payment ban may disrupt criminal operations in the
short term. However, it doesn’t address the root of the issue – the attacks
will persist, and vulnerable systems remain an open door. Cybercriminals are
adaptive. If one revenue stream is blocked, they’ll find other ways to exploit
weaknesses, whether through data theft, extortion, or targeting less-regulated
entities. The requirement for private organisations to report payment
intentions before proceeding aims to help authorities track ransomware trends.
However, this approach risks delaying essential decisions in high-pressure
situations. During a ransomware crisis, decisions must often be made in hours,
if not minutes. Adding bureaucratic hurdles to these critical moments could
exacerbate operational chaos.
The Modern CIO: Architect of the Intelligent Enterprise
Moving forward, traditional technology-driven CIOs will likely continue to
lose leadership influence and C-suite presence as more strategic,
business-focused CxOs move in. “There is a growing divergence. And the CIO
that plays more of a modern CTO role will not have a set at the table,”
Clydesdale-Cotter said. This increased business focus demands CIOs not only
have a broad and deep technical understanding of how new technologies impact
the nature of their company’s relationship with the broader market and impact
on how the business operates, but also command fluency in the vertical markets
of their business and not only accountability for the ROI on digital
initiatives but the broader success of the business as well. There’s probably
no technology having a more significant impact today than AI adoption. ... The
maturation of generative AI is moving CIOs from managing pilot deployments to
enterprise-scale initiatives. Starting this year, analysts expect about half
of CIOs to increasingly prioritize the cultivation of fostering data-centric
cultures, ensuring clean, accessible datasets to train their AI models.
However, challenges persist: a 2024 Deloitte survey found that 59% of
employees resist AI adoption due to job security fears, requiring CIOs to lead
change management programs that emphasize upskilling.
7 Steps to Building a Smart, High-Performing Team
Hiring is just the beginning — training is where the real magic happens. One of
the biggest mistakes I see business owners make is throwing new hires into the
deep end without proper onboarding. ... A strong team is built on clarity.
Employees should know exactly what is expected of them from day one. Clear role
definitions, performance benchmarks and a structured feedback system help
employees stay aligned with company goals. Peter Drucker, often called the
father of modern management, once said, "What gets measured gets managed."
Establishing key performance indicators (KPIs) ensures that every team member
understands how their work contributes to the company's broader objectives. ...
Just like in soccer, some players will need a yellow card — a warning that
performance needs to improve. The best teams address underperformance before it
becomes a chronic issue. A well-structured performance review system, including
monthly check-ins and real-time feedback, helps keep employees on track. A study
from MIT Sloan Management Review found that teams that receive continuous
feedback perform 22% better than those with annual-only reviews. If an employee
continues to underperform despite clear feedback and support, it may be time for
the red card — letting them go.
How eBPF is changing container networking
eBPF is revolutionary because it works at the kernel level. Even though
containers on the same host have their own isolated view of user space, says
Rice, all containers and the host share the same kernel. Applying networking,
observability, or security features here makes them instantly available to all
containerized applications with little overhead. “A container doesn’t even need
to be restarted, or reconfigured, for eBPF-based tools to take effect,” says
Rice. Because eBPF operates at the kernel level to implement network policies
and operations such as packet routing, filtering, and load balancing, it’s
better positioned than other cloud-native networking technologies that work in
the user space, says IDC’s Singh. ... “eBPF comes with overhead and complexity
that should not be overlooked, such as kernel requirements, which often require
newer kernels, additional privileges to run the eBPF programs, and difficulty
debugging and troubleshooting when things go wrong,” says Sun. A limited pool of
eBPF expertise is available for such troubleshooting, adding to the hesitation.
“It is reasonable for service mesh projects to continue using and recommending
iptables rules,” she says. Meta’s use of Cilium netkit across millions of
containers shows eBPF’s growing usage and utility.
If Architectural Experimentation Is So Great, Why Aren’t You Doing It?
Architectural experimentation is important for two reasons: For functional
requirements, MVPs are essential to confirm that you understand what customers
really need. Architectural experiments do the same for technical decisions that
support the MVP; they confirm that you understand how to satisfy the quality
attribute requirements for the MVP. Architectural experiments are also important
because they help to reduce the cost of the system over time. This has two
parts: you will reduce the cost of developing the system by finding better
solutions, earlier, and by not going down technology paths that won’t yield the
results you want. Experimentation also pays for itself by reducing the cost of
maintaining the system over time by finding more robust solutions. Ultimately
running experiments is about saving money - reducing the cost of development by
spending less on developing solutions that won’t work or that will cost too much
to support. You can’t run experiments on every architectural decision and
eliminate the cost of all unexpected changes, but you can run experiments to
reduce the risk of being wrong about the most critical decisions. While
stakeholders may not understand the technical aspects of your experiments, they
can understand the monetary value.
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