October 18, 2022
Kannan Subbiah
FCA | CISA | CGEIT | CCISO | GRC Consulting | Independent Director | Enterprise & Solution Architecture | Former Sr. VP & CTO of MF Utilities | BU Soft Tech | itTrident
Enterprises with internal, inefficient data centers will be the organizations most affected by the power crisis. “Enterprises that have already sourced or have moved to the cloud will be less impacted, although they will not escape some cost challenges,” Hall says. “Energy costs are going up across the board, so you can expect those costs to be passed on to customers through existing agreements.” With energy becoming increasingly scarce and expensive, many European enterprises are turning to hyper-scalers, an agile method of processing data via remote data centers that are equipped with horizontally linked servers. Hall forecasts a bigger push to cloud computing in the months ahead, especially toward major hyper-scaler providers -- including Amazon AWS, Microsoft Azure, Google GCP, Alibaba Cloud, IBM, and Oracle -- which tend to offer both lower costs and reduced carbon emissions. “Given the complexity of transitioning workloads, though, we are concerned clients will pull back on technology spend for lower-priority activities,” he says.
Zhu and colleagues take a different approach by developing a quantum sensor that generates its own power from a renewable energy source, in this case solar energy. The team’s sensor is made from an ensemble of NV centers in diamond, a well-established solid-state quantum-sensing platform that can operate over a wide range of temperatures (0–600 K), pressures (up to 40 GPa), and magnetic fields (0–12 T). Nitrogen-vacancy centers are defects that are typically created by implanting nitrogen ions into a diamond lattice. The centers confine charge carriers—such as electrons or holes—creating a localized electronic state. Users can read out the spin of this state by exciting the defect with a laser. The NV center then emits radiation, via fluorescence, whose intensity correlates with the system’s spin. Researchers typically use a green laser for this excitation, as that color of light produces the strongest fluorescence in the system (the emitted radiation is red). For use in quantum applications, NV centers are ideal because they operate at room temperature, so no cooling apparatus is required.
To scale your developer (i.e., user) experience, you need to look at the bigger picture “the entire API landscape” and not just a single API. Not only will you have different consumers accessing one API, but they will mix and match different APIs to build their own experiences. These experiences will be built by the designers on the consumer side; they will combine the APIs in a way that makes sense for their users. The main question to ask here is “How do you plan for such a scenario?” This is where API governance and scaling come into play, because now we are not only looking at what is the best way to manage that one API but we are looking at the best way to manage the entire API landscape, so that we can scale those experiences much better. The more we design and optimize the experience for the entire API landscape, the more we can create a better UX that translates to more value generated. One crucial thing to keep in mind is that, in the end, even though we are striving to get the best UX, that’s not all that matters.
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Internet of Things (IoT)-enabled equipment has been hugely beneficial in enabling healthcare providers to automate and facilitate remote working. But if not properly monitored and patched, these connected devices can also provide threat actors with an easy attack path. Hospitals are likely to have hundreds of devices deployed across their facilities, so keeping them all updated and patched can be an extremely resource-heavy task. Many health providers also struggle to accommodate the required downtime to update vital equipment. Automating device discovery and update processes will make it easier to keep devices secured. Providers should also vet future purchases to ensure they have key security functionality and are accessible for maintenance and updates. Healthcare providers sit in the center of extremely large and complex supply networks. Suppliers for medical materials, consultants, hardware, and facilities maintenance are just a few examples, alongside a growing number of digital services.
Observable data reflects the digitised artifacts — such as logs, traces, API calls, downloads and file transfers — that appear when any stakeholder takes any kind of action. Applied observability feeds these observable artifacts back to users in a highly orchestrated, integrated approach to accelerate organisational decision-making. ... With AI-related privacy breaches and security incidents becoming more frequent, organisations will need to implement new capabilities to ensure model reliability, trustworthiness, security and data protection. AI trust, risk and security management (TRiSM) requires participants from different business units to work together to implement new measures. ... Digital immune systems implement data-driven insight into operations — including automated and extreme testing and software engineering — to increase the resilience and stability of systems. This emerging capability can help provide a roadmap that CIOs can use to plan out new practices and approaches that their teams can adopt to deliver higher business value, while mitigating risk and increasing customer satisfaction.
Modernizing and transforming while recognizing that many legacy systems serve critical business needs that can’t be seriously disrupted isn’t a new tension. It was a common enough theme in 2015 for terms like bi-modal IT (coined by Gartner), 2nd/3rd platform (IDC), and fast/slow IT to be in common circulation. The basic idea was that you might want to modernize (or not) traditional IT while freeing new cloud and container technologies from having to deal with legacy entanglements. A similar approach to digital transformation – with similar pluses and minuses – is in play with this pathway. The authors write that the motivation for this approach is when senior leaders “believe transforming their current firm will take too long and will require a very different culture, skills, and systems than exist today.” They point to similar organizational hurdles that bimodal IT critics pointed to: The cool new organization gets all the attention and focus while the traditional organization slowly trudges along.