It's Time to Take a Modern Approach to Password Management
Standards for decentralized identity are being advocated by recognized bodies
such as W3C. While regulations and other aspects such as authorization, role,
and attribute-based access are still further developing, businesses and
institutions now have the opportunity to create interoperable designs that can
seamlessly integrate with this new model. In this architecture, the most trusted
identity providers are likely to play a dominant role as decentralized issuers
(DID), which will be crucial for the adoption of VCs. Users are more likely to
trust these established brands to certify their digital credentials. However,
new vendors, brands, and institutions may emerge to compete in this space and
position themselves as market leaders. Furthermore, a witness ledger, which
offers traceability and trust of VC transactions, will likely be supported by a
technology similar to blockchain network but more eco-friendly. This will enable
digital merchants to verify the credibility of a credential, and ultimately
their potential customers.
Putting AI to Work: Systems of Intelligence and Actionable Agency
Pervasive AI will create a new System of Intelligence (SoI) that integrates
data, technologies, platforms, and practices for the purposes of finding and
understanding patterns, extracting insights, promoting efficiency and
creativity, and facilitating decision-making. This will illuminate how
organizations actually do on a functional basis, through real-time data inputs,
allowing people greater awareness and meaningful action. Here is why: The system
of intelligence is designed to work in a way that is different from traditional
data systems or systems of record. Rather than requiring users to know how to
extract insights from the data, the system of intelligence is designed to
identify, ask questions and provide insights in a way that is easy for all users
to understand. Standards and practices of the SoI are still emerging, which
gives leaders the rare chance to both learn from and guide the development of a
new system of work in the coming year. This is necessary work since imagining
that nothing will change with AI is akin to thinking that, at the dawn of
television, radio would simply be transposed wholesale, with no particular
effect on culture, process, or business models.
Leveraging Blockchain Technology to Counter the Threat of Deepfake Videos
One of the fundamental features of blockchain is its immutability. Once data is
added to a blockchain, it becomes virtually impossible to alter or erase.
Applying this characteristic to video content could create an immutable record
of the original footage, ensuring that any subsequent alterations or
manipulations would be immediately apparent. ... Blockchain’s timestamping
capabilities can provide a reliable chronology of when content is created,
modified, or accessed. Integrating blockchain into the video creation process
allows for the creation of a verifiable and transparent timeline for each piece
of content. This timestamping ensures that any attempt to manipulate videos
would be easily traceable, enabling swift identification of the source of
misinformation and aiding in the attribution of responsibility. ... Blockchain
operates on a decentralized network of nodes, each maintaining a copy of the
ledger. This decentralized nature can be harnessed for video verification, where
multiple nodes across the network can independently verify the authenticity of a
given video.
How to Build Team Culture in a Remote-Work World
A positive team culture leads to happier employees. This may result in increased
productivity over the long run. Because a positive work environment leads to
things like friendships and increased levels of support between coworkers,
you're more likely to see lower turnover rates and higher employee retention
rates when you emphasize team culture. Positive team cultures also reduce levels
of stress and anxiety among employees. With a less stressful environment, your
skilled workers are more likely to remain with your company long-term.
Additionally, they'll share their positive experiences as an employee. As this
word-of-mouth spreads, your positive team culture may eventually result in your
business becoming a sought-after place to work. In addition to these hiring and
personnel benefits, positive team cultures correlate directly with
profitability. You might engage in a chance discussion with a coworker over the
water cooler or in the breakroom — leading to opportunities, collaborations and
innovations that otherwise might not have happened.
Faster than ever: Wi-Fi 7 standard arrives
For home networks, Wi-Fi 7 enhances the performance of smart home devices,
providing a more reliable connection for Internet of Things technologies. The
improved bandwidth and speed are perfect for families, like mine, which have
multiple devices streaming high-definition content simultaneously. Your overall
Wi-Fi performance, whether it's just you or your family and friends, will see a
dramatic improvement. In businesses, Wi-Fi 7 can support more devices with
minimal interference. This capability makes it ideal for large offices and
coworking spaces. The improved speed and stability facilitate seamless video
conferencing and efficient cloud-based applications, which are essential for
modern companies. All that's the good news. The bad news is that the 6 GHz
wireless spectrum uses shorter wavelengths. Short wavelengths are great for fast
data transfers at close range, So, they're great for connecting to your Wi-Fi
7-enabled HDTV a few feet away from your router. But short wavelengths are poor
at connecting at long distances and suffer greater interference from physical
obstructions, such as dense walls or floors in a building.
3 Essential Attitudes & Dispositions of Good Corporate Governance
While leadership and governance are two concepts that often work in tandem,
every director must understand that they are not the same thing. Leadership
refers to a person’s ability to influence the attitudes and actions of others to
lead them toward a common goal. Governance, on the other hand, should be about
making decisions that lead to increased corporate performance and meeting or
exceeding agreed-upon targets. Being a good leader without shifting their
mindset toward governance can make directors behave in selfish and territorial
ways, putting undue focus on their own desires and beliefs. On the other hand,
having the power to govern without the skill of leadership can often lead to
passivity and a bend toward bureaucracy, which can easily stop board progress in
its tracks. ... Many directors — especially those who are new to the position —
struggle with speaking up when they see something happening that needs the
board’s attention. They may be worried about receiving private or public
backlash or derailing the company’s progress toward meeting targets.
Why most companies suck at digital transformation
Focus on architecture in the wide, without forgetting architecture in the
narrow. Enterprises need to understand the holistic architecture required to
support accurate DX positive outcomes and not just focus on individual systems.
This is an outcome of a comprehensive strategy, in that we’re utilizing all
systems in place, including legacy and other on-premises assets, and
establishing how they will work and play well with migrated or net-new systems
existing on public clouds. If companies focus only on small systems or
architectures, they usually neglect to understand how they will exist within a
strategically defined DX ecosystem. This results in decoupled projects that may
be impressive on their own but provide little or no value to the larger strategy
that is more important than just the parts that make it up. ... The most
significant issue is that most don’t even understand what digital transformation
is, even those with the term in their titles. Instead, they focus on the
tactics, meaning tools and technology, never understanding the plan to make
things incrementally better.
Researchers develop technique to prevent software bugs
Baldur took several months to build. The work was done as a collaboration with
Google, and built on top of a significant amount of prior research. First, whose
team performed its work at Google, used Minerva, an LLM trained on a large
corpus of natural-language text, and then fine-tuned it on 118GB of mathematical
scientific papers and webpages containing mathematical expressions. Next, she
further fine-tuned the LLM on a language, called Isabelle/HOL, in which the
mathematical proofs are written. Baldur then generated an entire proof and
worked in tandem with the theorem prover to check its work. When the theorem
prover caught an error, it fed the proof, as well as information about the
error, back into the LLM, so that it can learn from its mistake and generate a
new and hopefully error-free proof. This process yields a remarkable increase in
accuracy. The tool for automatically generating proofs is called Thor, which can
generate proofs 57% of the time.
Reconciling Agile Development With AI Safety
On one hand, the Agile principles of an iterative approach, regular risk
management checks, cross-expertise collaboration, solicitation of third-party
feedback at every stage, and adaptability to changing priorities or new findings
seem well-suited to the seamless incorporation of responsible AI practices.
However, we think responsible AI development will require a full revamp of the
software development lifecycle, from pre-training assessments of data to
post-deployment monitoring for performance and safety. Some practices, such as
automated algorithmic checks (like tests for data bias and model performance
metrics, all of which are part of Stanford’s HELM set of evaluations) can be
utilized anywhere in the development lifecycle. Other techniques may be purely
ex post, like algorithmic audits. An Agile approach avoids engineering siloes,
allowing for stage-specific practices to be adopted where necessary, while
ensuring stage-agnostic practices are adopted at all relevant stages, and
allowing these stages to proceed in tandem.
Modern-day manufacturing: A process built on data governance
The average manufacturer generates high volumes and different types of data,
including customer information, production orders, and shipment tracking, to
name a few. This is further compounded with every supplier, distributor, and
third party that’s added to the supply chain. Without a system to validate all
this data, a manufacturer can find itself with inaccurate or incomplete data.
Poor data quality not only leads to operational inefficiencies and mistakes, it
also hinders the organization’s growth by limiting its ability to forecast
demands and plan production runs. ... Within complex manufacturing ecosystems,
it can be unclear who owns data as it flows across the supply chain. Various
teams generate and use different types of data, making ownership and
responsibility a challenge to pin down. ... Establishing data ownership involves
identifying primary stakeholders who are responsible for ensuring the quality,
security, and correct use of data assets.
Quote for the day:
"We live in a society obsessed with
public opinion. But leadership has never been about popularity." --
Marco Rubio
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