AI governance for cloud cost optimisation: Best practices in managing expenses in general AI deployment
AI-enabled cost optimization solutions, in contrast to static, threshold-based
tools can actively detect and eliminate idle and underused resources, resulting
in significant cost reductions. In addition, they are equipped to foresee and
avert possible problems like lack of resources and performance difficulties,
guaranteeing continuous and seamless operations. They can also recognize cost
anomalies, swiftly respond to them, and even carry out pre-planned actions. This
method eliminates the need for continual manual intervention while ensuring
effective operations. ... Cloud misconfiguration or improper utilization of
cloud resources are frequently the cause of computing surges. One possible
scenario is when a worker uses a resource more frequently than necessary. By
determining the root cause, organizations can contribute to reducing unnecessary
cloud resource utilization. By employing AI-enabled cost optimization tools,
businesses can improve consumption and identify irregularities to minimize
overspending. Moreover, these tools reduce the time-consuming effort of manually
screening and evaluating behavior.
The first steps of establishing your cloud security strategy
The purpose of CIS Control 3 is to help you create processes for protecting your
data in the cloud. Consumers don’t always know that they’re responsible for
cloud data security, which means they might not have adequate controls in place.
For instance, without proper visibility, cloud consumers might be unaware that
they’re leaking their data for weeks, months, or even years. CIS Control 3 walks
you through how to close this gap by identifying, classifying, securely
handling, retaining, and disposing of your cloud-based data, as shown in the
screenshot below. ... In addition to protecting your cloud-based data, you need
to manage your cloud application security in accordance with CIS Control 16.
Your responsibility in this area applies to applications developed by your
in-house teams and acquired from external product vendors. To prevent, detect,
and remediate vulnerabilities in your cloud-based applications, you need a
comprehensive program that brings together people, processes, and technology.
Continuous Vulnerability Management, as discussed in CIS Control 7, sits at the
heart of this program.
Want to become a successful data professional? Do these 5 things
"I think tech can be quite scary from the outside, but no one knows everything
in technology," she says. Young professionals will quickly learn everyone has
gaps in their digital knowledge base -- and that's a good thing because people
in IT want to learn more. "That's the brilliant thing about it. Even if you're
an expert in one thing, you'll know next to nothing in a different part."
Whitcomb says the key to success for new graduates is seeing every obstacle as
an opportunity. "Going in from square one is quite intimidating," she says. "But
if you have that mindset of, 'I want to learn, I'm willing to learn, and I can
think logically' then you'll be great. So, don't be put off because you don't
know how to code at the start." ... The prevalence of data across modern
business processes means interest in technology has peaked during the past few
years. However, some young people might still see technology as a dry and stuffy
career -- and Whitcomb says that's a misconception. "That always bugs me a
little bit. I think IT is incredibly creative. The things you can do with tech
are amazing," she says.
Is Scotland emerging as the next big data center market?
From a sustainability perspective, Scotland is second to none. While the
weather may have a miserable reputation, it is nonetheless ideal for data
centers. A cooler climate means we can rely more on nature to keep equipment
at optimum temperatures, with less of a need for energy-intensive air
conditioning. Scotland’s energy mix also consists of a much higher than
average share of renewables. The carbon intensity – a measure of how clean
electricity is – of Scotland’s grid is well ahead of the other European
countries and even compares favorably against other parts of the UK.
Relocating a data center from Warsaw to Glasgow could cut the carbon
intensity of its energy by as much as 99 percent. Scotland’s carbon
intensity is one-quarter of London’s, meaning moving a 200-rack facility
could save more than six million kilograms of CO2 equivalent, equal to over
14 million miles traveled by the average mid-sized car. ... There is a
strong cost imperative too. Relocating to Scotland could save up to 70
percent in operational costs compared to other markets, partially thanks to
the cooler climate. The cost of land is another major factor – data
center-ready land in Glasgow can cost up to 90 percent less than Slough,
Greater London.
Winning Gen AI Race with Your Custom Data Strategy
Essentially, the Data Fabric Strategy involves a comprehensive plan to
seamlessly integrate diverse data sources, processing capabilities, and AI
algorithms to enable the creation, training, and deployment of generative
AI models. It provides a unified platform approach for the Collection of
Data, Organizing the data, and Allowing good Governance over data,
facilitating the development of winning AI Products. The Product Manager
establishes the North Star Metrics (NSM) for the product according to the
business context, with the most prevalent and crucial NSM being User
Experience, contingent upon three pivotal factors. ... Embarking on the
journey of implementing a Data Fabric Strategy, the pinnacle stage lies in
sculpting the Solution Architecture tailored for Gen AI product. While the
accountability rests with the Product Manager, the creation of this vital
blueprint falls under the purview of the Architect. In dissecting the
intricacies of Data Fabric solutions, we encounter two fundamental
components: the user-facing interactions and the robust Data Processing
Pipeline.
Disciplined entrepreneurship: 6 questions for startup success
Identify key assumptions to be tested before you begin to make heavy
investments in product development. It will be faster and much less costly
now to test the assumptions and allow you to preserve valuable resources
and adjust as needed. Test each of the individual assumptions you have
identified. This scientific approach will allow you to understand which
assumptions are valid and which ones are not and then adjust when the cost
of doing so is much lower and can be done much faster. Define the minimal
product you can use to start the iterative customer feedback loop —where
the customer gets value from the product and pays for it. You must reduce
the variables in the equation to get the customer feedback loop started
with the highest possibility of success with simultaneously the most
efficient use of your scarce resources. ... Calculate the annual revenues
from the top follow-on markets after you are successful in your beachhead
market. It shows the potential that can come from winning your beachhead
and motivates you to do so quickly and effectively.
7 innovative ways to use low-code tools and platforms
One of the 7 Rs of cloud app modernization is to replatform components
rather than lift and shift entire applications. One replatforming approach
is maintaining back-end databases and services while using low-code
platforms to rebuild front-end user experiences. This strategy can also
enable the development of multiple user experiences for different business
purposes, a common practice performed by independent software vendors
(ISVs) who build one capability and tailor it to multiple customers.
Deepak Anupalli, cofounder and CTO of WaveMaker, says, “ISVs recast their
product UX while retaining all their past investment in infrastructure,
back-end microservices, and APIs. ... Another area of innovation to
consider is when low-code components can replace in-house commodity
components. Building a rudimentary register, login, and password reset
capability is simple, but today’s security requirements and user
expectations demand more robust implementations. Low-code is one way to
upgrade these non-differentiating capabilities without investing in
engineering efforts to get the required experience, security, and
scalability.
Beyond 24/7: How Smart CISOs are Rethinking Threat Hunting
To combat this phenomenon, CISOs are rethinking their approach as the
model of 24/7 in-house threat hunting is no longer sustainable for many
businesses. Instead, we see an increasing focus on value-driven security
solutions that make their own tools work better, harder, and more
harmoniously together. This means prioritizing tools that leverage
telemetry, deliver actionable insights and integrate into existing stacks
seamlessly – and don’t just create another source of noise. This is where
Managed Detection and Response (MDR) services come in. Managed Detection
and Response (MDR) services offer a strategic solution to these
challenges. MDR providers employ experienced security analysts who monitor
your environment 24/7, leveraging advanced threat detection and analysis
tools and techniques. ... Start by evaluating your current security
posture. Identify your organization’s specific security needs and
vulnerabilities. This helps you understand how MDR can benefit you and
what features are most important. Don’t be swayed by brand recognition
alone. While established players offer strong solutions, smaller MDR
providers can be equally adept, often with greater flexibility and
potentially lower costs.
A time to act: Why Indian businesses need to adopt AI agents now
Currently, the conversational AI chatbots in the market listen to what
businesses want and deliver exactly that. This is only one aspect of what
generative AI can do. AI Agents take it a step further by performing the
same functions as conversational AI bots but with the added capability of
acting intuitively. For example, while planning a vacation it can complete
an expense report without being asked or plan a travel itinerary, book
tickets and more. However, there is more than just one use case and these
assistants can be used across industries. ... Imagine a
scenario where an AI Agent is deployed in tandem with the IoT device
monitoring signals that indicate when a machine needs to replace parts. AI
Agents can be used to automatically order parts, and have them shipped to
specific locations along with recommended times for the technician to
arrive for the maintenance work. All of this with no downtime. This is
merely scratching the surface of what AI Agents can do. Built on Large
Actions Models, AI Agents can automate a wide range of tasks across
various industries.
6 security items that should be in every AI acceptable use policy
Corporate policies need to include a security item that deals with
protecting the sensitive data that the AI system uses. By including a
security item that addresses how the AI system uses sensitive data,
organizations can promote transparency, accountability, and trust in their
AI practices while safeguarding individuals’ privacy and rights. “So if an
AI system is being used to assess whether somebody is going to be getting
insurance, or healthcare, or a job, that information needs to be used
carefully,” says Nader Henein, research vice president, privacy and data
protection at Gartner. Companies need to ask what information is going to be
given to those AI systems, and what kind of care is going to be taken when
they use that data to make sensitive decisions, Henein says. The AI AUP
needs to establish protocols for handling sensitive data to safeguard
privacy, comply with regulations, manage risks, and maintain trust with
users and others. These protocols ensure that sensitive data, such as
personal information or proprietary business data, is protected from
unauthorized access or misuse.
Quote for the day:
''Your most unhappy customers are
your greatest source of learning.'' -- Bill Gates
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