Learning cloud cost management the hard way

The rapid adoption of cloud technologies has outpaced the development of
  requisite skills within many organizations, leading to inefficiencies in
  provisioning, managing, and optimizing cloud resources. The No. 1 excuse that
  I hear from those overspending on cloud computing is that they can’t find the
  help they need to maximize cloud resources. They are kicking years of
  cloud-powered technical debt down the road, hoping that someone or some tool
  will come along to fix everything. ... Automation tools powered by AI can play
  a crucial role in ensuring that resources are only provisioned when needed and
  decommissioned when not in use, thus preventing idle resources from
  unnecessarily accruing costs. Moreover, a robust cost governance framework is
  essential for cloud cost management. This framework should include policies
  for resource provisioning, usage monitoring, and cost optimization. ... It’s
  frustrating that we’ve yet to learn how to do this correctly. 2020 wants their
  cloud spending problems back. This is not the only survey I’ve seen that
  reveals cost inefficacies on a massive scale. I see this myself.
The Interplay Of IoT And Critical Infrastructure Security

The vast number of interconnected devices in an IoT-driven infrastructure
    creates a massive attack surface. These objects often have limited
    processing power and may miss out on robust security features, which
    potentially makes them easy targets. ... The silver lining is that such
    heterogeneous cabling architectures can be glued together to deliver
    fiber-grade connectivity without the need to build new high-cost networks
    from scratch. An illustration of this tactic is Actelis’ hybrid-fiber
    technology harnessing high-performance managed Ethernet access switches and
    extenders to make the most of existing network infrastructures and provide
    gigabit speeds via virtually any wireline media. Actelis’ hybrid-fiber
    networking concept includes sections of fiber (for the
    easy-to-reach-with-fiber locations) and copper/coax that can be upgraded
    with Actelis’ technology to run fiber-grade communication. The company does
    both and provides management, security, and end-to-end integration for such
    entire networks, including fiber parts. This is important, as it represents
    a significant part of the market, selling both fiber and non-fiber
    networking.
MIT Researchers Introduce Generative AI for Databases

The researchers noticed that SQL didn’t provide an effective way to
    incorporate probabilistic AI models, but at the same time, approaches that
    use probabilistic models to make inferences didn’t support complex database
    queries. They built GenSQL to fill this gap, enabling someone to query both
    a dataset and a probabilistic model using a straightforward yet powerful
    formal programming language. A GenSQL user uploads their data and
    probabilistic model, which the system automatically integrates. Then, she
    can run queries on data that also get input from the probabilistic model
    running behind the scenes. This not only enables more complex queries but
    can also provide more accurate answers. For instance, a query in GenSQL
    might be something like, “How likely is it that a developer from Seattle
    knows the programming language Rust?” ... Incorporating a probabilistic
    model can capture more complex interactions. Plus, the probabilistic models
    GenSQL utilizes are auditable, so people can see which data the model uses
    for decision-making. In addition, these models provide measures of
    calibrated uncertainty along with each answer.
Securing Applications in an Evolving API Security Landscape
Adding further fuel to the fire, threat actors constantly innovate,
    developing new techniques to target APIs. This includes exploiting zero-day
    vulnerabilities, leveraging stolen credentials through phishing attacks, or
    even using bots to automate brute-force attacks against API endpoints.
    Traditionally, API security focused on reactive measures, patching
    vulnerabilities and detecting attacks after they happened. However, GenAI
    allows attackers to automate tasks, churning out mass phishing campaigns or
    crafting malicious code specifically designed to exploit API weaknesses.
    These attacks, known for their speed and volume, easily overwhelm
    traditional security solutions designed for static environments. ... APIs
    are crucial for modern business operations, driving innovation and customer
    interactions. However, without proper security measures, APIs can be
    vulnerable to attacks that can put sensitive data at risk, disrupt
    operations, and damage customer trust. ... This underscores the real-world
    impact of inadequate API security, including delayed innovation, frustrated
    customers, and lost revenue. 
Fundamentals of Descriptive Analytics

Descriptive analytics helps to describe and present data in a format that
    can be easily understood by a wide variety of business readers. Descriptive
    analytics rarely attempts to investigate or establish cause-and-effect
    relationships. As this form of analytics doesn’t usually probes beyond
    surface analysis, the validity of results is more easily implemented. Some
    common methods employed in descriptive analytics are observations, case
    studies, and surveys. ... The main disadvantage of descriptive analytics is
    that it only reports what has happened in the past or what is happening now
    without explaining the root causes behind the observed behaviors or without
    predicting what is about to happen in the future. The analysis is generally
    limited to few variables and their relationships. However, descriptive
    analytics becomes a powerful business resource when it is combined with
    other types of analytics for assessing business performance. While
    descriptive analytics focuses on reporting past or current events, the other
    types of analytics explore the root causes behind observed trends and can
    also predict future outcomes based on historical data analysis.
Strategies for creating seamless and personalised customer journeys

One cannot overlook the fact that CX in financial services is crucial since
    it influences customer satisfaction levels. In turn, this depends on
    providing seamless experiences across all touchpoints, beginning with the
    initial contact, right up to the final delivery and the consumption of
    financial products or services. Significantly, CX in financial services goes
    beyond merely offering excellent customer service. Instead, it involves
    ensuring frictionless, personalised experiences that surpass expectations
    across every stage of the customer’s journey. Be it banking, insurance or
    investment services, the ongoing digital transformation has substantially
    enhanced the expectations of customers. Today, speed, convenience and
    personalisation are taken for granted. As a result, financial entities that
    provide superior CX enjoy a clear competitive advantage in both attracting
    and retaining their customers, leading to increased profitability. ...
    Navigating complex regulatory environments ensures financial integrity.
    Regulations uphold standards, protecting consumers. Compliant firms earn
    trust, enhancing reputation alongside prioritizing customer experience for
    competitiveness in the market.
Cultivating Continuous Learning: Transforming L&D for the Hybrid Future and Beyond

Adapting L&D for the Digital Age requires strategic initiatives that
    cater to evolving demands in today's dynamic landscape. This entails
    embracing technology-driven learning platforms and tools that facilitate
    remote access, personalised learning paths, and real-time analytics. By
    leveraging these innovations, organisations can ensure that learning
    experiences are agile, responsive, and tailored to individual needs.
    Integrating digital collaboration tools fosters a culture of continuous
    learning and knowledge sharing across geographies, enhancing organisational
    agility and competitiveness in a digital-first world. Future-proofing
    L&D involves identifying and developing critical skills that will drive
    success in tomorrow's workplace. This proactive approach requires foresight
    into emerging trends and industry shifts, preparing employees with skills
    such as adaptability, digital literacy, creativity, and emotional
    intelligence. Implementing forward-thinking training programs and
    certifications ensures that employees remain adept and resilient in the face
    of technological advancements and market disruptions.
Cybersecurity Can Be a Businesses Enabler
Cybersecurity controls and protective mechanisms can protect an
    organization's assets - its data, people, technology equipment, etc. By
    actively protecting assets and preventing data breaches, an organization can
    avoid potential negative business impact, financial or otherwise. And
    because the organization does not have to worry about that potential damage,
    it can operate in a safe and focused fashion. ... Suffering a negative
    security event indicates some gap or deficiency in an organization's
    security posture. All organizations have security gaps, but some never
    report a negative security event - probably because they have invested more
    resources in differentiating themselves from their competitors. Implementing
    strong protective measures shows customers that an organization takes
    security seriously, which makes it a more appealing business partner. ...
    Customers and partners are becoming more aware of cyber risks, and they
    prioritize cybersecurity when they consider engaging in business. By
    implementing effective cybersecurity measures, a company can improve the
    confidence that potential customers and partners have in it. Over time, this
    will lead to increased loyalty and trust.
What is transformational leadership? A model for motivating innovation

The most important thing you can do as a transformational leader is to lead
    by example. Employees will look to you as a role model for behavior in all
    areas of the workplace. If you lead with authenticity, employees will pick
    up on that behavior and feel inspired to maintain that high standard for
    performance. It’s not about manipulating employees into working hard, it’s
    about leading by example and positively influencing others through a
    commitment to trust, transparency, and respect. ... To help create change,
    it’s important to challenge long-standing beliefs in the company and push
    the status quo by encouraging innovation, creativity, critical thinking, and
    problem-solving. Transformative leaders should help employees feel
    comfortable exploring new ideas and opportunities that can inject innovation
    into the organization. ... As a transformational leader, you will need to
    encourage your team to feel attached and committed to the vision of the
    organization. You want to ensure employees feel as committed to these goals
    as you do as a leader by giving employees a strong sense purpose, rather
    than attempting to motivate them through fear.
How Post-Quantum Cryptography Can Ensure Resilience
Quantum computing represents a major threat to data security, as it can make
    attacks against cryptography much more efficient. There are two ways bad
    actors could use this technology. One is the “Store now, decrypt later”
    method, in which cybercriminals steal sensitive data and wait until quantum
    computers have the ability to break its encryption. This is particularly
    important for you to know if your organization retains data with a long
    confidentiality span. The other method is to break the data’s digital
    signatures. A bad actor could “compute” credentials based on publicly
    available information, then impersonate someone with the authority to sign
    documents or approve requests. As with the above message, criminals can do
    this retroactively if older signatures are not updated. Today’s encryption
    methods cannot stand against the capabilities of tomorrow’s quantum
    computers. When large-scale quantum computers are built, they will have the
    computing ability to decrypt many of the current public key cryptography
    systems. 
Quote for the day:
"The only limit to our realization
      of tomorrow will be our doubts of today." --
      Frank D Roosevelt
 
 
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