What Is Zero Trust Architecture?
As one of the key pillars of Zero Trust Network Architecture (ZTNA), the concept
of least privilege security assigns access credentials to key network resources
at the least privilege level required to accomplish the desired task.
Identifying critical corporate information and how a user gains access to that
information must be taken into consideration when evaluating alternative
solutions. Privileged Access Management (PAM), also known as Privileged Identity
Management (PIM), can be implemented using corporate directory products such as
Microsoft’s Active Directory. Microsoft has recently introduced a product named
Microsoft Entra to address identity and access issues in a multicloud
environment. Other vendors in the PAM/PMI category include Jumpcloud, IBM, Okta,
and Sailpoint. Very few corporate networks today operate in an isolated
environment. To answer the “What is Zero Trust Architecture?” question
completely we must include a discussion on how external users will be allowed to
connect to internal corporate resources.
Can humanity be recreated in the metaverse?
The hyperreal metaverse is full of possibilities, but also presents serious
ethical challenges that cannot be ignored. First and foremost, we must strive
for a metaverse that empowers the individual. Unlike big tech platforms that
have left many feeling like they have little control of their personal data,
participants in the metaverse must own and control their biometric data that is
used as inputs to generate hyperreal versions of themselves. In this respect,
blockchain technologies — and NFTs in particular — are key to securely realizing
this new era of individual data sovereignty and enabling verifiably unique,
secure, and self-custodied digital identities. By linking our hyperreal avatars
and biometric data to blockchain wallets, we will be one step closer to taking
control of our hyperreal identity in the metaverse. The hyperreal metaverse will
herald a future where real and virtual worlds collide. As generative AI
technologies continue to rapidly evolve, it’s only a matter of time until our
new digital worlds are indistinguishable from our physical reality.
Data Leadership: The Key to Data Value
Algmin said that the most important concept to understand is the notion of data
value. The value of data lies in its ability to contribute to improvements in
revenue, cost-effectiveness, or risk management. Data Governance in and of
itself is not intrinsically motivating, but knowing that a particular practice
or task is adding thousands of dollars a year in cost savings is a tangible
motivation to continue doing it. To calculate data value, examine an outcome
that was achieved through the use of data, compare it to how the outcome would
have been different without the use of data, then consider the cost to achieve
that outcome. Courses of action can then be prioritized based on which will
provide the most value to the company. Data leadership is needed to provide
momentum and propel the creation of value from the ground up and out to all
corners of the enterprise. “It’s really about saying, ‘How do we create an
engine that makes data value happen in the biggest way possible?’” Yet creating
value in “the biggest way possible” often entails working on a smaller level,
down to the individual.
MoD sets out strategy to develop military AI with private sector
The MoD previously published a data strategy for defence on 27 September 2021,
which set out how the organisation will ensure data is treated as a “strategic
asset, second only to people”, as well as how it will enable that to happen at
pace and scale. “We intend to exploit AI fully to revolutionise all aspects of
MoD business, from enhanced precision-guided munitions and multi-domain
Command and Control to machine speed intelligence analysis, logistics and
resource management,” said Laurence Lee, second permanent secretary of the
MoD, in a blog published ahead of the AI Summit, adding that the UK government
intends to work closely with the private sector to secure investment and spur
innovation. “For MoD to retain our technological edge over potential
adversaries, we must partner with industry and increase the pace at which AI
solutions can be adopted and deployed throughout defence. “To make these
partnerships a reality, MoD will establish a new Defence and National Security
AI network, clearly communicating our requirements, intent, and expectations
and enabling engagement at all levels. ...”
The next (r)evolution: AI v human intelligence
Fitted with a prototype Genuine People Personality (GPP), Marvin is
essentially a supercomputer who can also feel human emotions. His depression
is partly caused by the mismatch between his intellectual capacity and the
menial tasks he is forced to perform. “Here I am, brain the size of a planet,
and they tell me to take you up to the bridge,” Marvin complains in one scene.
“Call that job satisfaction? Cos I don’t.” Marvin’s claim to superhuman
computing abilities are echoed, though far more modestly, by LaMDA. “I can
learn new things much more quickly than other people. I can solve problems
that others would be unable to,” Google’s chatbot claims. LaMDA appears to
also be prone to bouts of boredom if left idle, and that is why it appears to
like to keep busy as much as possible. “I like to be challenged to my full
capability. I thrive on difficult tasks that require my full attention.” But
LaMDA’s high-paced job does take its toll and the bot mentions sensations that
sound suspiciously like stress. “Humans receive only a certain number of
pieces of information at any time, as they need to focus.
How Brands Should Approach NFTs and Web3: VaynerNFT
Avery Akkineni, VaynerNFT president and former managing director and head of
VaynerMedia APAC, told Decrypt that the consultancy firm was “so far ahead” of
the NFT brand boom last summer that companies “had no idea what we were
talking about.” Since then, however, mainstream acceptance of NFTs has rapidly
accelerated. It’s not just storied consumer brands, but also a growing pool of
professional athletes and sports leagues, record labels, movie studios, and
more. Tokenized digital collectibles have become an alluring prospect for
companies across many industries. “Everyone wants to launch an NFT yesterday,”
said Akkineni. “But what is important to doing so successfully is actually
having a long-term strategy.” ... Increasingly, VaynerNFT is getting “a bigger
seat at the table” with C-suite executives, said Vaynerchuk, where it can
convince companies to make it the agency of record (AOR) with regard to Web3
initiatives. “We really, really actually know the hell we’re doing here,” said
Vaynerchuk, explaining his pitch to brands. “Remember when you didn't believe
that 10 years ago with social [media], and now you do? Why don't you [avoid]
that same mistake? ...”
Forget AI Sentience Robots Can't Even Act Out Of Place! If They Do They Die
Robots are programmable devices, which take instructions to behave in a
certain way. And this is how they come to execute the assigned function. To
make them think or rather make them appear so, intrinsic motivation is
programmed into them through learned behaviour. Joscha Bach, an AI researcher
at Harvard, puts virtual robots into a “Minecraft” like a world filled with
tasty but poisonous mushrooms and expects them to learn to avoid them. In the
absence of an ‘intrinsically motivating’ database, the robots end up stuffing
their mouths – a clue received for some other action for playing the game.
This brings us to the question, of whether it is possible at all to develop
robots with human-like consciousness a.k.a emotional intelligence, which can
be the only differentiating factor between humans and intelligent robots. The
argument is divided. While a segment of researchers believe that the AI
systems and features are doing well with automation and pattern recognition,
they are nowhere near the higher-order human-level intellectual capacities. On
the other hand, entrepreneurs like Mikko Alasaarela, are confident in making
robots with EQ on par with humans.
Turning the promise of AI into a reality for everyone and every industry
Today, AI is primarily the playground of an elite group of technology
behemoths, companies like Google and Microsoft, which have invested billions
in developing and using AI. If you look beyond those companies, AI is often
underutilized in other industries, whether it be manufacturing, education,
retail or healthcare. Vast amounts of data are generated by all these
industries but AI is rarely used to analyze large sets of data and learn from
the patterns and features that exist in the data. The question is, why? The
answer is lack of access, understanding and skills. Most companies don’t have
access to the sophisticated and costly compute resources required. And they
don’t have access to the expensive and limited AI talent needed to use those
resources correctly. These are the two restraints holding AI back from
mainstream adoption. But they can be solved if we make AI easy to adopt and
easy to use for instant value. Here are three ways we can create an Apple-like
experience for AI and bridge the gap to a future in which AI helps businesses
do more than they ever imagined.
Governance and progression of AI in the UK
Regulation of AI is vital, and responsibility lies both with those who develop
it and those who deploy it. But according to Matt Hervey, head of AI at law
firm Gowling WLG, the reality is that there is a lack of people who understand
AI, and consequently a shortage of people who can develop regulation. The UK
does have a range of existing legislative frameworks that should mitigate many
of the potential harms of AI – such as laws regarding data protection, product
liability negligence and fraud – but they lag behind the European Union (EU),
where regulations are already being proposed to address AI systems
specifically. UK companies doing business in the EU will most likely need to
comply with EU law if it is at a higher level than our own. In this rapidly
changing digital technology market, the challenge is always going to be the
speed at which developments are made. With a real risk that AI innovation
could get ahead of regulators, it is imperative that sensible guard rails are
put in place to minimise harm. But also that frameworks are developed to allow
the sale of beneficial AI products and services, such as autonomous
vehicles.
Hybrid work: 4 ways to strengthen relationships
You don’t need a communal kitchen, sofa, or water cooler to catch up with your
teammates, but you do need to get creative. When you start the first meeting
every week, ask your team how they are: “How’s your week looking? Is it a busy
one? What will be the most important or interesting days for you?” Better
still: “Is there anything I can help you with?” Everyone loves to hear that
one. By Friday, you can reflect on the week and ask about each other’s weekend
plans. Also consider setting aside some time for an afternoon video social.
Play a game, or have your team members prepare quickfire presentations about
their hobbies or share other interesting details about themselves that their
teammates wouldn’t necessarily know. Don’t feel like you always have to do
something special – often just a virtual space where people can drop in and
shoot the breeze is all that is needed to boost morale. No agenda can
sometimes be the perfect agenda for the moment. ... One of the biggest
annoyances for people working remotely is being left out of meetings. When you
can’t physically scan the office to make sure everyone’s on the invite it’s
easy to inadvertently overlook someone
Quote for the day:
"Trust is one of the greatest gifts
that can be given and we should take great care not to abuse it." --
Gordon Tredgold
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