How to Future-Proof Your IT Organization
Effective future-proofing begins with strong leadership support and investments in essential technologies, such as the cloud and artificial intelligence (AI). Leaders should encourage an agile mindset across all business segments to improve processes and embrace potentially useful new technologies, says Bess Healy ... Important technology advancements frequently emerge from various expert ecosystems, utilizing the knowledge possessed by academic, entrepreneurial, and business startup organizations, Velasquez observes. “Successful IT leaders encourage team members to operate as active participants in these ecosystems, helping reveal where the business value really is while learning how new technology could play a role in their enterprises.” It’s important to educate both yourself and your teams on how technologies are evolving, says Chip Kleinheksel, a principal at business consultancy Deloitte. “Educating your organization about transformational changes while simultaneously upskilling for AI and other relevant technical skillsets, will arm team members with the correct resources and knowledge ahead of inevitable change.”How one CSO secured his environment from generative AI risks
"We always try to stay ahead of things at Navan; it’s just the nature of our
business. When the company decided to adopt this technology, as a security team
we had to do a holistic risk assessment.... So I sat down with my leadership
team to do that. The way my leadership team is structured is, I have a leader
who runs product platform security, which is on the engineering side; then we
have SecOps, which is a combination of enterprise security, DLP – detection and
response; then there’s a governance, risk and compliance and trust function, and
that’s responsible for risk management, compliance and all of that. "So, we sat
down and did a risk assessment for every avenue of the application of this
technology. ... "The way we do DLP here is it’s based on context. We don’t do
blanket blocking. We always catch things and we run in it like an incident. It
could be insider risk or external, then we involve legal and HR counterparts.
This is part and parcel with running a security team. We’re here to identify
threats and build protections against them."Governor at Fed Cautiously Optimistic About Generative AI
The adverse impact of AI on jobs will only be borne by a small set of people, in
contrast to the many workers throughout the economy who will benefit from it,
she said. "When the world switched from horse-drawn transport to motor vehicles,
jobs for stable hands disappeared, but jobs for auto mechanics took their
place." And it goes beyond just creating and eliminating positions. Economists
encourage a perception of work in terms of tasks, not jobs, Cook said. This will
require humans to obtain skills to adapt themselves to the new world. "As firms
rethink their product lines and how they produce their goods and services in
response to technical change, the composition of the tasks that need to be
performed changes. Here, the portfolio of skills that workers have to offer is
crucial." AI's benefits to society will depend on how workers adapt their skills
to the changing requirements, how well their companies retrain or redeploy them,
and how policymakers support those that are hardest hit by these changes, she
said.6 IT rules worth breaking — and how to get away with it
Automation, particularly when incorporating artificial intelligence, presents
many benefits, including enhanced productivity, efficiency, and cost savings. It
should be, and usually is, a top IT priority. That is, unless an organization is
dealing with a complex or novel task that requires a nuanced human touch, says
Hamza Farooq, a startup founder and an adjunct professor at UCLA and Stanford.
Breaking a blanket commitment to automation prioritization can be justified when
tasks involve creative problem-solving, ethical considerations, or situations in
which AI’s understanding of a particular activity or process may be limited.
“For instance, handling delicate customer complaints that demand empathy and
emotional intelligence might be better suited for human interaction,” Farooq
says. While sidelining automation may, in some situations, lead to more ethical
outcomes and improved customer satisfaction, there’s also a risk of hampering a
key organization process. “Overreliance on manual intervention could impact
scalability and efficiency in routine tasks,” Farooq warns, noting that it’s
important to establish clear guidelines for identifying cases in which an
automation process should be bypassed.Introduction to Azure Infrastructure as Code
One of the core benefits of IaC is that it allows you to check infrastructure
code files to source control, just like you would with software code. This means
that you can version and manage your infrastructure code just like any other
codebase, which is important for ensuring consistency and enabling collaboration
among team members. In early project work, IaC allows for quick iteration on
potential configuration options through automated deployments instead of a
manual "hunt and peck" approach. Templates can be parameterized to reuse code
assets, making deploying repeatable environments such as dev, test and
production easy. During the lifecycle of a system, IaC serves as an effective
change-control mechanism. All changes to the infrastructure are first reflected
in the code, which is then checked in as files in source control. The changes
are then applied to each environment based on current CI/CD processes and
pipelines, ensuring consistency and reducing the risk of human error.National Cybersecurity Strategy: What Businesses Need to Know
Defending critical infrastructure, including systems and assets, is vital for
national security, public safety, and economic prosperity. The NCS will
standardize cybersecurity standards for critical infrastructure—for example,
mandatory penetration tests and formal vulnerability scans—and make it easier to
report cybersecurity incidents and breaches. ... Once the national
infrastructure is protected and secured, the NCS will go bullish in efforts to
neutralize threat actors that can compromise the cyber economy. This effort will
rely upon global cooperation and intelligence-sharing to deal with rampant
cybersecurity campaigns and lend support to businesses by using national
resources to tactically disrupt adversaries. ... As the world’s largest economy,
the U.S. has sufficient resources to lead the charge in future-proofing
cybersecurity and driving confidence and resilience in the software sector. The
goal is to make it possible for private firms to trust the ecosystem, build
innovative systems, ensure minimal damage, and provide stability to the market
during catastrophic events. Preparing for the post-quantum cryptography environment today
"Post-quantum cryptography is about proactively developing and building
capabilities to secure critical information and systems from being compromised
through the use of quantum computers," Rob Joyce, Director of NSA Cybersecurity,
writes in the guide. "The transition to a secured quantum computing era is a
long-term intensive community effort that will require extensive collaboration
between government and industry. The key is to be on this journey today and not
wait until the last minute." This perfectly aligns with Baloo's thinking that
now is the time to engage, and not to wait until it becomes an urgent situation.
The guide notes how the first set of post-quantum cryptographic (PQC) standards
will be released in early 2024 "to protect against future, potentially
adversarial, cryptanalytically-relevant quantum computer (CRQC) capabilities. A
CRQC would have the potential to break public-key systems (sometimes referred to
as asymmetric cryptography) that are used to protect information systems
today."Future of payments technology
Embedded finance requires technology to build into products and services the
capability to move money in certain circumstances, such as paying a toll on a
motorway. The idea is to embed finance into the consumer journey where they
don’t have to actually pay but based on a contract or agreement in advance.
Consumers pay without consciously having to dig out their debit card. One
example is Uber, where we widely use the service without having to make an
actual payment upfront. Sometimes referred to “contextual payments” – where the
context of the situation allows for payment to be frictionlessly executed. ...
Artificial intelligence is already being used in payments to improve the
customer journey and also how products are delivered. So far, this has been
machine learning. Generative AI, where the AI itself is able to make decisions,
will be the next generational jump and have a huge impact on payments,
especially when it comes to protection against fraud. The problem is that
artificial intelligence could be a positive or a negative, depending on who gets
to exploiting it first, for good or will. Hiring revolutionised: Tackling skill demands with agile recruitment
Tech-enabled smart assessment frameworks not only provide scalability and
objectivity in talent assessment but also help build a perception of fairness
amongst candidates and internal stakeholders. L&T uses virtual assessments
at the entry level, and Venkat believes in its tremendous scope for mid-level
and leadership assessments too. Apurva shared that when infusing technology,
many companies make the mistake of merely making things fancy without actually
creating a winning EVP. The key to tech success is balancing personalised
training with broader skill requirements. HR must develop a very good funnel by
inculcating thought leadership around the quality of employees and must also
focus on how these prospective employees absorb the culture of the organisation.
This is a huge change exercise that entails identifying the skill gap,
restructuring the job responsibilities, mapping specific roles with specific
skills, assessing a person’s personality traits, and offering a very
personalised onboarding so that people are productive when they join from day
one. Designing Databases for Distributed Systems
As the name suggests, this pattern proposes that each microservices manages its
own data. This implies that no other microservices can directly access or
manipulate the data managed by another microservice. Any exchange or
manipulation of data can be done only by using a set of well-defined APIs. The
figure below shows an example of a database-per-service pattern. At face value,
this pattern seems quite simple. It can be implemented relatively easily when we
are starting with a brand-new application. However, when we are migrating an
existing monolithic application to a microservices architecture, the demarcation
between services is not so clear. ... In the command query responsibility
segregation (CQRS) pattern, an application listens to domain events from other
microservices and updates a separate database for supporting views and queries.
We can then serve complex aggregation queries from this separate database while
optimizing the performance and scaling it up as needed. Quote for the day:
"Wisdom equals knowledge plus courage. You have to not only know what to do and when to do it, but you have to also be brave enough to follow through." -- Jarod Kint z
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