How Emerging Demands Of AI-Powered Solutions Help Gain Momentum Of Businesses
AI helps take the BI game leaps and bounds ahead with machine learning and
deep learning. It empowers BI with the ability to analyze data coming from
multiple sources, learn from this data in real-time, and provide accurate
granular predictive insights for faster business growth. AI always stays one
step ahead of humans in terms of analyzing large data sets at scale with speed
and accuracy. The influence of AI is simply not limited to analytics but also
to data engineering. Data coming from multiple structured, unstructured, and
semi-structured sources, needs to be transformed from silos to unified data.
AI can accelerate and automate this process creating a single view and saving
data analyst's time and providing much-needed independence for business users.
AI-powered NLP bots take BI altogether to the next level by enabling users to
extract insights via voice or chat using any language. For example, these BI
bots can easily answer questions like 'What is the sales forecast for the next
two quarters?' With this, business users can skip any complex query and leave
it up to the bots to process the analysis.
How to deal with the escalating phishing threat
“Working from home, where there are more distractions, makes it even less
likely that people really pay attention to these trainings. That’s why it’s
not uncommon to see the same people who tune out training falling for scams
again and again,” he noted. That’s why defenders must preempt attacks, he
says, and reinforce a lesson during a live attack. When something gets through
and someone clicks on a malicious URL, defenders must be able to
simultaneously block the attack and show the victim what the phisher was
attempting to do. Harr, who has over 20 years of experience as a senior
executive and GM at industry leading security and storage companies and as a
serial entrepreneur and CEO at multiple successful start-ups, is now leading
SlashNext, a cybersecurity startup that uses AI to predict and protect
enterprise users from phishing threats. He says that most CISOs assume
phishing is a corporate email problem and their current line of defense is
adequate, but they are wrong. “We are detecting 21,000 new phishing attacks a
day, many of which have moved beyond corporate email and simple credential
stealing. These attacks can easily evade email phishing defenses that rely on
static, reputation-based detection.
The cryptocurrency sector is overflowing with dead projects
It’s a good question if the world really needs a blockchain-based information
and trading platform for the pet market. I wouldn’t say there are many
problems with over-centralization there. Pet shops are usually chosen by
customers after analyzing brand reputation and online presence. Some problems
that customers on this market may face include unreliable information about
the acquired animal’s health or previous owners. However, these difficulties
comprise not a technical, but a legal problem that is unlikely to be solved
using blockchain technology. Moreover, since animal welfare laws vary between
different countries, creating a unified international platform in this field
is a legally challenging task, hardly suitable for a small technological
startup. The Petchain project team consisted mainly of no-names who had no
proven experience in any serious projects. It was not even possible to say for
sure whether these were real people — some of the project advisors turned out
to have been presented with fake photos. Despite some marketing efforts, no
serious funding was attracted to the project. At the moment, the official
website of the project is inactive and its social media accounts haven’t been
updated for more than a year.
The Road to MicroProfile 4.0
The primary driver behind creating the MicroProfile Working Group is to close
intellectual property gaps identified by the Eclipse Foundation for
specification projects. So, there are more legal protections in place now that
MicroProfile is a Working Group. A Working Group also places more processes on
MicroProfile. Historically, MicroProfile moved quickly with minimal process
and late-binding decisions. It was quite an agile project that delivered
specifications at quite a quick pace. However, I personally feel like we were
reaching a point where adding *some* process can benefit the project. For
instance, we now have to put more thought and formality up-front into planning
a specification, which requires a Steering Committee vote. Better planning
gives implementors, tool vendors, and the community more up-front visibility
into what is coming and prepare. However, we codified "limited processes" in
the MicroProfile Charter to keep processes to a minimum. ... A big challenge
was switching from being a fast-moving agile project to fitting into the
process structure required by a Working Group. We wanted to maintain as much
of our existing culture as possible because the community was consistently
delivering three annual releases.
Blockchain adoption 2021: Going mainstream through enterprise use
According to Bennet, many of the blockchain-based systems that are live today
share a common factor: less time involved to resolve discrepancies. In some
cases, this could even be instant. Bennet noted this common factor applies to
supply chain use cases as well as in financial services: “It’s not just about
needing fewer people to accomplish certain tasks; it’s also about shortening
elapsed time and freeing up liquidity. A key point is that it’s possible to
make it happen today, in the context of existing processes and operating
models.” While this may be, Bennet shared that the more long-term strategic
projects in financial services tend to revolve around potential changes in
market structure and operating models. Many of these cases also require
regulatory adjustments. “This takes time, resource and effort. That’s the main
reason why COVID-related volatility and uncertainty has led many banks to pull
back from some of those more long-term DLT-related projects for the time
being,” Bennet said. The report also states that almost all the initiatives
set to go from pilot into production next year will run on enterprise
blockchain platforms that utilize the cloud. These most likely will include
solutions from Alibaba, Huawei, IBM, Microsoft, OneConnect and Oracle.
How open source makes me a better manager
As an open source enthusiast, it was easy for me to transition my management
style to the open management philosophy, which fosters transparency,
inclusivity, adaptability, and collaboration. As an open manager, one of my
primary goals is to engage and empower associates to be their best. It is easy
to adopt this philosophy when you understand the open source values. By being
transparent, I help create the context for the team and the "why." This is a
building block in creating trust. Being consciously inclusive is another value
that I regard highly. Making sure everyone in the team is included and
everyone's voice is heard is extremely important for individual and
organizational growth. In an environment that is constantly evolving and where
innovation is key, being nimble and adaptable is of utmost importance.
Encouraging associates' growth mindset and continuous learning helps foster
these traits. For effective collaboration, I believe we need an environment
where there is trust, open communication, and respect. By paying attention to
these values, an open manager can create an environment that is inclusive,
treats others with respect, and encourages everyone to support each other.
Marriott Hit With $24 Million GDPR Privacy Fine Over Breach
One notable aspect about the fine imposed on Marriott is that it is just
one-fifth of the fine that the ICO originally recommended in July 2019, which
Marriott had contested. But the reduction is not nearly as big as with the
final fine that the ICO recently imposed on British Airways, in connection
with a 2018 data breach that exposed the personal information of about 430,000
customers, with 244,000 possibly having their names, addresses, payment card
numbers and CVVs compromised. In its initial July 2019 penalty notice, the ICO
had proposed fining BA a record £184 million ($238 million). But last month,
the regulator issued a final fine of just £20 million ($26 million). Legal
experts say the final fines being lower than the proposed penalties is not
surprising. Indeed, the ICO earlier this year noted that because of the
ongoing coronavirus outbreak, it planned to adjust its regulatory approach,
not least because of the staffing and financial impact that COVID-19 was
having on organizations. Under GDPR, after proposing a fine, regulators have
12 months to issue a final fine, unless it proposes delaying the imposition of
the fine, and the organization that is being investigated agrees.
What Is The Value Proposition of Enterprise Architecture Today?
The first one of these is Strategy Advancement. This is basically concerned
with how the business can achieve its target outcomes and also identifying the
means to do so. So what are we trying to achieve – do we know, do we have
doubts about that? If we’re sure our goals are solid, then how do we make them
happen, how do we ensure that every investment, or strategic decision, or new
business process we set up is inline and actively supports achieving those
goals. EA connects all these concepts across the different enterprise domains
beautifully and when done in a leading platform like HoriZZon, the quality of
the business intelligence insights that can be produced and delivered to the
relevant audiences, in order to make sure everyone’s eyes remain on the prize,
is invaluable. So strategy advancement is key in ensuring coordinated change
across the entire business. The second one of these areas is Risk
Identification & Mitigation. Security and the risks to personal data have
never been more relevant than now. This area of enterprise architecture’s
value proposition deals with identifying the risks faced by the organization
in a way that allows architects to engage in a meaningful conversation with
stakeholders on the business side about how we can address these risks.
Three Intelligent Automation Capabilities to Look for When Evaluating RPA Tools
Making decisions based on rules only works when outcomes are predictable. What
happens when outcomes are less certain and conditions more varied — conditions
under which people have to make decisions all the time? For instance, how
would a bot respond to a query like Is the supplier reliable? Choosing an
answer like Extremely Reliable, Very Reliable, Sometimes Reliable, or Not
Reliable requires an element of human reasoning. Bots can achieve this by
applying an AI technique called fuzzy logic. Fuzzy logic uses mathematical
models defined by the RPA developer to represent variations and uncertainty.
For example, on a scale from 1 to 10, an Extremely Reliable supplier may be
rated between 7 and 10, whereas a Very Reliable supplier may be rated between
6 and 8. The bot uses these mathematical models to convert precise input data
into fuzzy input values. The bot then applies business rules defined by the
RPA developer to the fuzzy input values. The mathematical model is then
applied to the fuzzy output values to generate the result. ... As the amount
of digital work increases, RPA solutions need scalability to provide greater
performance capacity. Most RPA vendors solve this problem by enabling
customers to add more bots to scale capacity horizontally.
How Data Gravity Is Forcing a Shift to a Data-Centric Enterprise Architecture
The new demands brought on by AI and ML create new opportunities for
data-centric architecture that supports businesses and their need to operate
ubiquitously so they can meet customer expectations and make business
decisions on-demand. It’s informed by real-time intelligence to power
innovation and scale digital business. ... With a modernized infrastructure
strategy, enterprises can support the influx of data from several users,
locations, clouds, and networks and create centers of data exchange. Traffic
can then be aggregated and maintained via public or private clouds, at the
core or the edge, and from every point of business presence, helping lessen
data gravity barriers and its effects. By implementing a secure, hybrid IT and
data-centric architecture globally at key points of business presence,
businesses can harness data to create centers of data exchange for better
digital decision-making. Data gravity impacts businesses of all sizes, and
every industry has unique requirements around addressing data gravity. In
order for the industry to tackle the next era of compute, companies including
data center, cloud, and HPC solution providers, are coming together to help
mitigate the challenges associated with data gravity by creating an ecosystem
of partners so that enterprises can solve their global coverage, capacity, and
ecosystem connectivity.
Quote for the day:
"The greatest thing is, at any moment, to be willing to give up who we are in order to become all that we can be." -- Max de Pree
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