Artificial intelligence makes project planning better
Unlike neural networks, expert systems do not require up-front learning, nor do
they necessarily require large amounts of data to be effective. Yes, expert
systems can and do absolutely learn and get smarter over time (by adjusting or
adding rules in the inference engine) but they have the benefit of not needing
to be “trained up front” in order to function correctly. Capturing planning
knowledge can be a daunting task and arguably very specific and unique to
individual organizations. If all organisations planned using the same knowledge
e.g., standard sub-nets, then we could simply put our heads together as an
industry and establish a global “planning bible” from which we could all
subscribe. This of course isn’t the case and so for a neural network to be
effective in helping us in project planning, we would need to mine a lot of
data. Even if we could get our hands on it, it wouldn’t be consistent enough to
actually help with pattern recognition. Neural networks have been described as
black boxes — you feed in inputs, they establish algorithms based on learned
patterns and then spit out an answer.
Trending Programming Language to Learn
Generally, Python is seen as an easy-to-learn software language thanks to its
simple syntax, extensive library of guidelines and toolkits, and its
compatibility with other prominent programming languages, including C and C++.
Its popularity is demonstrated by its ranking in TIOBE and PYPL Index in
2021: Python was the leading programming language. Companies like Intel,
Facebook, Spotify, and Netflix are still using the best python developers to
take advantage of this language’s extensive libraries. ... Although GO is
somehow similar to C in syntax, it’s a unique language that offers excellent
memory protection and management functionality. It is likely that GO’s
popularity will continue to rise as it’s used to design systems that use
artificial intelligence, just like Python. ... It's no wonder Java is so
popular; getting started with this language is fairly simple, and it boasts a
high level of security. Furthermore, it’s capable of handling large amounts of
data. The technology is used in a variety of applications on almost all major
systems like mobile, desktop, web, artificial intelligence, cloud applications,
and more.
Why Microsoft Azure and Google Cloud love Ampere Computing’s server chips
“Ampere is designing for a completely different goal,” to its rivals, says Dylan
Patel, a chip industry analyst from SemiAnalysis. “Intel is targeting a wider
net of people, versus what Ampere is going for, which allows them to make
certain sacrifices and gain benefits from that,” he says. Though the company’s
chips have a “weaker and smaller CPU core” than some of the x86 processors
designed by Intel and AMD for servers, Patel says this means the chips
themselves are smaller, and that as a result power usage is lower and the chips
are more efficient. “That’s a big deal” for data centre operators, he says.
Patel adds: “Renee realised this needed to be done much earlier than most of the
cloud providers themselves. Amazon figured out they needed to build CPUs like
this, but the others did not, and as a result, most of them are now in a
position where they need to buy the technology from someone else. That’s why you
find Ampere in every major cloud now.”
Digital transformation: How to guide innovation leaders
Digital Trailblazers are lifelong learners and can start their careers in
product management, technology, security, or data roles. What sets Digital
Trailblazers apart is their ability to ask the questions that challenge people’s
thinking and get into the weeds around customer experience, data quality issues,
or how to integrate emerging technologies. But finding Digital Trailblazers
isn’t easy, and guiding them requires leadership’s commitment to empowering
their creativity and collaboration. CIOs who dedicate themselves and their
lieutenants to seek and guide aspiring transformation leaders are setting their
entire organization up for success for years to come. Once you identify these
leaders, you must encourage them to step out of their comfort zones because many
will soon be experiencing firsts such as presenting to leadership, responding to
detractors, or making tough calls in setting priorities. In the book, I tell the
stories of what it feels like to be a Digital Trailblazer, knowing they will
face many new experiences. I’ll share an excerpt from the chapter “Buried in bad
data.”
6 key advantages of ERP and CRM software integration
Typically, businesses purchase and deploy ERP and CRM systems separately.
However, if your ERP and CRM systems have their own databases, you will
consistently have to worry about keeping them synchronised. Whether it’s a CRM
user from customer service or an ERP user from billing who updates a customer’s
account, any changes implemented in one system will have to be transferred to
the other. Considering this is a manual process, having to wait for a database
to update before you can, for example, process bills, replenish inventory levels
and arrange product returns for customers, will result in slower operations and
an increased risk of database errors. Applying an integrated CRM functionality
to your ERP solution will ensure both systems share one database; meaning
updates in either system are visible instantaneously. Customers can be billed
faster and any product returns can be automated between systems; providing your
business with clearer visibility into all stages of your business’ sales
process.
Can You Recover Losses Sustained During a Cloud Outage?
Even if the providers do have insurance, the terms of those policies are
unlikely to cover more than a fraction of the costs incurred by the clients.
“Negotiate how much risk is being held by the company and how much risk is being
retained by the cloud service provider,” advises Michael Phillips, chief claims
officer of cyber insurance company Resilience. “It's an unfortunate fact of life
right now that many of the major cloud service providers are willing to accept
none of the risk of their own failure.” The public cloud is a multi-tenant
environment, further complicating the issue of responsibility. “Many cloud
providers currently do not offer meaningful SLAs, arguing the application must
meet the demands of multiple customers,” says Lisa Rovinsky, partner at
full-service law firm Culhane Meadows. “I think this power structure will be
changing as customers become more sophisticated and hybrid cloud solutions
develop.” This puts the onus on clients to ensure that their cloud agreements
are as airtight as possible from the get-go. Boilerplate contracts are unlikely
to offer even cursory protection, so customization is increasingly the name of
the game.
6 Smart Ways to Optimize Your Tech Stack
Consolidation can be thought of through the lens of technical debt. While some
technical debt may be intentional, all technical debt creates added complexity
that gets in the way of organizational agility. Recent research found that while
94% of organizations recognize the impact of technical debt digital
transformation, less than half have a strategy in place to manage it. Looking
for ways to eliminate technical debt by consolidating solutions and letting go
of those that are highly customized or out of support offers a clear path to
delivering measurable business value. ... EA can align with DevOps in two
complementary ways. First, the development tech stack must be reflected in the
overall organizational tech stack. On this front, collaboration with head of
development and software architects are key. Second, EA can use their tools and
expertise to help dev teams manage their one tech landscape, particularly when
it comes to microservices. A microservice catalog can serve in this case as both
an essential tool for DevOps, particularly when it promotes reuse, and a natural
extns
Hacking Concerns Delay Balloting for New UK Prime Minister
Online voting has been changed so that instead of a Tory party member being able
to use their unique code multiple times to change their vote, the code will
instead be deactivated after they initially vote. "The part that caused
particular concern was being able to change your vote after submission," says
Alan Woodward, professor of computer science at the University of Surrey. NCSC,
which is the public-facing arm of Britain's security, intelligence and cyber
agency, GCHQ, confirms that it has been providing guidance to the Tory party.
"As you would expect from the U.K.'s national cybersecurity authority, we
provided advice to the Conservative Party on security considerations for online
leadership voting," an NCSC spokesperson tells Information Security Media Group.
"Defending U.K. democratic and electoral processes is a priority for the NCSC,
and we work closely with all parliamentary political parties, local authorities
and MPs to provide cybersecurity guidance and support." The Conservative Party
acknowledged the cybersecurity center's input.
How to succeed as an enterprise architect: 4 key strategies
Technical debt should be used intentionally to make incremental gains, not
accumulated from neglect. Every architect must decide how to deal with debt—both
addressing it and taking it on—to succeed in their role. Get comfortable with
technical debt as a tool. The key questions that need to be addressed are when
to take on debt and when to pay it off. Take on debt when the future of a
product or feature is uncertain. Whether for a proof of concept or a minimum
viable product, use debt to move fast and prove or realize value quickly before
committing more cycles to make it robust. Architects can minimize the impact of
debt by first solidifying interfaces. Changes to interfaces impact users.
Consequently, these changes are not only sometimes technically difficult but can
also be logistically challenging. And the more difficult it is to address debt,
the less likely it is to be managed. Pay down technical debt when its value
proposition turns negative and has a measurable impact on the business. That
impact could come in the form of decreased engineering velocity, infrastructure
brittleness leading to repeated incidents, monetary cost, or many other related
effects.
6 ways your cloud data security policies are slowing innovation – and how to avoid that
Some security professionals may consider this first pitfall as irrelevant to
their organization, as they allow data to be freely moved or modified across
cloud environments without restrictions. While beneficial for business purposes,
this approach ignores the exponential growth in data and its tendency to spread
across data stores and environments, with little ability to locate where it
resides. This lack of visibility and control will inevitably lead to loss of
what may be sensitive, personal or customer data in the process. If data is the
fuel of many of our business processes, then losing some of it means that you’re
running low on gas. Innovative teams require access to data. Whether it’s data
scientists who are creating new machine learning algorithms, threat researchers
researching new trends, marketing or product management teams who need to
understand customer behavior or other stakeholders – innovating without data is
like trying to bake without an oven. Managing organizational access to data may
be critical to ensure that it isn’t abused or lost but creating stringent access
control policies and boundaries around data usage creates what are essentially
data silos, once again restricting innovation.
Quote for the day:
"Failures only triumph if we don't have the courage to try again." --
Gordon Tredgold
