Why data storage isn’t a ‘one size fits all’ solution for IoT
Certain storage solutions are designed with the properties of endurance and
resilience at the forefront. These offerings, including the highly reliable and
industrial-grade e.MMC (embedded Multimedia Card) and UFS (Universal Flash
Storage) embedded flash drives, can endure harsh environments, including those
with extreme temperatures or vibrations, such as in a factory setting. One
common use case that requires such solutions is in industrial-use drones. These
drones, for example, are used by oil-rig workers to complete inspections more
quickly and without risking worker safety. Similarly, search and rescue drones
require high-performance in varying environments, such as those with fluctuating
and extreme weather patterns. One way to achieve low latency is to bring compute
and storage nearer to the place it is used, like the network edge, or to devices
closer to the edge. This helps enable rapid real-time data transfers and
analysis at the edge, where low latency is a fundamental requirement. Smart
cities, for example, use and act on real-time data. Emergency services can
communicate with traffic lights to synchronise and provide quicker and more
direct access to critical locations whilst holding traffic at bay.
The future of storage resides at the intersection of the edge and cloud
Firstly, the digital leaders of the future can’t be built on the technology
approaches of the past – IT needs to evolve to provide a technology foundation
that accelerates digital innovation. Today’s storage infrastructure technology
is designed to make hybrid cloud environments and data produced at the edge
easier to deploy and manage. These purpose-built suites of solutions have
evolved to fill an essential role in the data centre, providing ever-expanding
levels of performance, capacity and resiliency for mission-critical workloads.
Modern storage architecture is helping businesses succeed, by not only
supporting current business needs, but also allowing scale to evolve IT
infrastructure as business dynamics change. Therefore, organisations must
refresh their storage infrastructure on a regular basis and keep up with the
increased data demands by eliminating ageing infrastructure that is more
susceptible to failures that cause outages/downtime. Modern storage
infrastructure also frequently includes advanced data protection features that
help ensure the on-premises data remains safe and secure.
Artificial Intelligence: The Evolution Of Neural Networks
Artificial neural networks along with machine learning and artificial
intelligence can flawlessly predict severe illnesses. For example, the output
of waves of an ECG can be analyzed to understand a patient’s heart and predict
heart attacks well in time. Similarly, with an adequate amount of data,
dementia can be identified in the early stages by understanding and analyzing
EEG patterns. Along with diagnosis, artificial neural networks and machine
learning can work together for discovering drugs for the treatment of multiple
serious illnesses. Furthermore, the introduction of autonomous cars has the
potential of reducing traffic jams and accidents. Neural networks can be
extensively used for predicting natural calamities like earthquakes, floods,
and volcanic eruptions. Data like seismographs and atmospheric pressure can be
collected on a daily basis to analyze and predict the occurrence of natural
calamities. Additionally, neural networks can effectively predict changes in
the weather and the climate. The future of artificial neural networks hints
that chatbots are impacting the retail industry tremendously.
Realistic Patch Management Tips, Post-SolarWinds
Security hygiene, including patching, is an essential part of defense, says
Pironti. Nevertheless, he says, "We're fooling ourselves if we think we can
defend ourselves against a nation-state attack [like the SolarWinds incident]
while continuing to release code at the speed we do." Curtis Franklin, senior
analyst of enterprise security management at Omdia, says companies must have
patch management technology to help automate the process now, "because it's
gotten really beyond human-scale at this point." Despite the recent
high-profile example of a malicious software update, Pironti says companies
should not shy away from deploying updates. "I think we would be doing
ourselves a disservice if we started distrusting patches," he says. "I'd
rather trust my vendors than question them when there's an exploit in the
wild." He does, however, say it's fair to ask for better security hygiene in
the software development lifecycle. "We've been trained as a society to accept
flawed code," says Pironti.
Saying goodbye to Internet Explorer might be more complicated than you realise
It's going to be odd to see IE go, as it's been part of Windows' internals for
almost as long as it's been around, its Trident engine powering tools like
Outlook's browser view and Windows' Help system. Even on systems that have the
new Edge set as default, opening an email from Outlook in browser view opens
it in Internet Explorer. That's because Outlook uses a technique that
encapsulates HTML and any image resources in a single file. MHTML, "MIME
encapsulation of aggregate HTML documents", was designed for a world where web
pages delivered interactivity with applets or ActiveX controls or Flash, and
where designers wanted that dynamic content to be part of an email message.
It's a useful tool for building formatted emails, using familiar HTML
authoring tools, but bundling all the necessary resources in a single archive
that's attached to a message. It's an old technique, but one that's still in
use. And with IE about to disappear, can you view those messages in a modern
browser like Edge? The answer to that question is complicated. If you set the
file associations in Windows 10 to support Outlook's MHTML, emails will open
in Edge, but will only display as text and without active links.
How The Indian FinTech Is Using AI
CogNext also has an automated technology platform, Platform X, which provides
‘nimble, configurable, interactive, scalable and cost effective’ solutions for
regulatory compliance. Such solutions allow financial institutions to control
the risk they undertake and improve results in integrity and transparency.
Project X works through a technological framework that enables processing
customer data and calculations easily. Another element of CogNext is its
AutoML solution which encourages domain and business experts working in
financial institutions to use ML and AI to create business values. Teams can
use this to develop advanced AI projects without coding or even understanding
the underlying ML algorithms. ... Capital Float employs AI technologies along
with human insight to facilitate risk assessment and marketing. AI and ML
algorithms help the company comprehend the creditworthiness of applicants,
allowing them to choose the right type of loans for the applicant. Capital
Float also utilised AI models to better target customers in their marketing
campaigns. In 2018, they acquired a leading Personal Finance Management App,
Walnut, further pushing them into the credit-solutions industry.
Why Good Arguments Make Better Strategy
Many leaders avoid arguing about strategy at all costs. Arguing is equated
with fighting and, at best, is considered an unproductive use of people’s
time. This is a mistake. Arguing is the best way to do strategy, especially in
groups, provided the arguments follow established rules of engagement that are
rooted in the principles of deductive logic. Great strategy demands the
exchange and vetting of ideas — both in its development and implementation.
Listen to Patty McCord, former chief talent officer at Netflix, who asserted,
“The main reason the company could continually reinvent itself and thrive,
despite so many truly daunting challenges coming at us so fast and furiously,
was that we taught people to ask, ‘How do you know that’s true?’ Or my
favorite variant, ‘Can you help me understand what leads you to believe that’s
true?’” Such questions spawned vigorous internal debates at Netflix that,
McCord said, “helped cultivate curiosity and respect and led to invaluable
learning both within the team and among functions." Why is debate so powerful?
One reason lies in the fallibility of human reasoning.
Making the Move to a SaaS Usage-Based Model
Many of those enterprise companies are working hard to add a subscription
element to their business. Yet, others lack a strong imperative to move away
from the on-premise model, either because their customers are satisfied with
their current arrangements or IT imperatives prohibit it. The reality, though,
is that the subscription model is quickly becoming a business necessity. A
recent CIBC World Markets study found that, on an annual basis, SaaS stocks
outperformed the mature software names, with an average stock price return of
83% vs. an average year-to-date mature software return of 22%. SaaS providers
enjoy higher valuations because subscription earnings are more predictable,
and companies that offer them can generate more revenue over the long haul.
Eventually, many enterprise companies will also offer their products on a pure
consumption or per-usage basis so customers can try new products for a very
low cost (or even free) and expand usage as their needs grow, though
usage-based consumption is still in the early stages. Moving to SaaS is not a
“flip the switch” exercise. It requires a total shift in how management
thinks, operates and compensates, and everyone -- from sales
Microsoft’s Kate Crawford: ‘AI is neither artificial nor intelligent’
Bias is too narrow a term for the sorts of problems we’re talking about. Time
and again, we see these systems producing errors – women offered less credit
by credit-worthiness algorithms, black faces mislabelled – and the response
has been: “We just need more data.” But I’ve tried to look at these deeper
logics of classification and you start to see forms of discrimination, not
just when systems are applied, but in how they are built and trained to see
the world. Training datasets used for machine learning software that casually
categorise people into just one of two genders; that label people according to
their skin colour into one of five racial categories, and which attempt, based
on how people look, to assign moral or ethical character. The idea that you
can make these determinations based on appearance has a dark past and
unfortunately the politics of classification has become baked into the
substrates of AI. ... Ethics are necessary, but not sufficient. More helpful
are questions such as, who benefits and who is harmed by this AI system? And
does it put power in the hands of the already powerful?
The Best First Jobs for People Interested in Entrepreneurship
We are often told to not do "what everyone else is doing." But when it comes
to startups, the crowd has a certain wisdom. Traction and exposure beget more
traction and exposure, so it's not a bad idea to pay attention to what are
currently considered hot startups. Read up on top startup listicles like those
on LinkedIn or AngelList. Be agnostic as to what kind of job you can land at
these hot companies. Jobs at rapidly growing companies evolve quickly, and
titles mean little. Jump in, gain experience and make an impact. Please pay
special attention to the quality of their funding sources, as this is an
essential indicator of their stability and future financing availability. ...
Understanding people's needs and learning how to address them truly is the
foundational learning of most successful entrepreneurs. Sales positions
involve pitching a product, which is helpful, but more importantly, they give
you exposure to lots of external people. Especially when you are young and
coming out of school, sales roles are great at quickly taking you out of your
comfort zone and forcing you to provide value to real people.
Quote for the day:
"Many men may see the King in a Kid
but it takes a true leader to nurture it" --
Bernard Kelvin Clive
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