August 29, 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
The board wants assurances that the CIO has command of tech investments tied to corporate strategy. “Demystify that connection,” Ferro says. “Show how those investments tie to the bigger picture and show immediate return as much as you can.” Global CIO and CDO Anupam Khare tries to educate the board of manufacturer Oshkosh Corp. in his presentations. “My slide deck is largely in the context of the business so you can see the benefit first and the technology later. That creates curiosity about how this technology creates value,” Khare says. “When we say, ‘This project or technology has created this operating income impact on the business,’ that’s the hook. Then I explain the driver for that impact, and that leads to a better understanding of how the technology works.” Board members may also come in with technology suggestions of their own that they hear about from competitors or from other boards they’re on. ... Avoid the urge to break out technical jargon to explain the merits of new cloud platforms, customer-facing apps, or Slack as a communication tool, and “answer that question from a business context, not from a technology context,” Holley says. “
Mobility has arrived at a “great inflection” point — a shift towards autonomous, connected, electric and smart technologies. This shift aims to disrupt markets while improving efficiency and sustainability of land and air transportation of people and goods. ACES technologies for road mobility saw significant adoption during the past decade, and the pace could accelerate because of sustainability pressures, McKinsey said. Advanced air-mobility technologies, on the other hand, are either in pilot phase — for example, airborne-drone delivery — or remain in the early stages of development — for example, air taxis — and face some concerns about safety and other issues. Overall, mobility technologies, which attracted $236bn last year, intend to improve the efficiency and sustainability of land and air transportation of people and goods. ... It focuses on the use of goods and services that are produced with minimal environmental impact by using low carbon technologies and sustainable materials. At a macro level, sustainable consumption is critical to mitigating environmental risks, including climate change.?
Data encryption has been around for a long time. It was first made available for data at rest on storage devices like disk and flash drives as well as data in transit as it passed through the NIC and out across the network. But data in use – literally data in the memory of a system within which it is being processed – has not, until fairly recently, been protected by encryption. With the addition of memory encryption and enclaves, it is now possible to actually deliver a Confidential Computing platform with a TEE that provides data confidentiality. This not only stops unauthorized entities, either people or applications, from viewing data while it is in use, in transit, or at rest. ... It effectively allows enterprises in regulated industries as well as government agencies and multi-tenant cloud service providers to better secure their environments. Importantly, Confidential Computing means that any organization running applications on the cloud can be sure that any other users of the cloud capacity and even the cloud service providers themselves cannot access the data or applications residing within a memory enclave.
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Metasurfaces are ultrathin planar optical devices made up of arrays of nanoresonators. Their subwavelength thickness (a few hundred nanometers) renders them effectively two-dimensional. That makes them much easier to handle than traditional bulky optical devices. Even more importantly, due to the lesser thickness, the momentum conservation of the photons is relaxed because the photons have to travel through far less material than with traditional optical devices: according to the uncertainty principle, confinement in space leads to undefined momentum. This allows for multiple nonlinear and quantum processes to happen with comparable efficiencies and opens the door for the usage of many new materials that would not work in traditional optical elements. For this reason, and also because of being compact and more practical to handle than bulky optical elements, metasurfaces are coming into focus as sources of photon pairs for quantum experiments. In addition, metasurfaces could simultaneously transform photons in several degrees of freedom, such as polarization, frequency, and path.
Having strong support was key to this change in beliefs among the leadership team. Aisha Mir, IT Agile Operations Director for Thales North America, has a track record of successful agile transformations under her belt and was eager to help the leadership team overcome any initial hurdles. “The best thing I saw out of previous transformations I’ve been a part of was the way that the team started working together and the way they were empowered. I really wanted that for our team,” says Mir. “In those first few sprints, we saw that there were ways for all of us to help each other, and that’s when the rest of the team began believing. I had seen that happen before – where the team really becomes one unit and they see what tasks are in front of them – and they scrum together to finish it.” While the support was essential, one motivating factor helped them work through any challenge in their way: How could they ask other parts of the IT organization to adopt agile methodologies if they couldn’t do it themselves? “When we started, we all had some level of skepticism but were willing to try it because we knew this was going to be the life our organization was going to live,” says Daniel Baldwin
The data collection, data tagging, and data wrangling of pre-processing are still tedious, manual processes. There are utilities that provide some time savings and aid in simple feature engineering, but overall, most practitioners do not make use of AutoML as they prepare data. In post-processing, AutoML offerings have some deployment capabilities. But Deployment is famously a problematic interaction between MLOps and DevOps in need of automation. Take for example one of the most common post-processing tasks: generating reports and sharing results. While cloud-hosted AutoML tools are able to auto-generate reports and visualizations, our findings show that users are still adopting manual approaches to modify default reports. The second most common post-processing task is deploying models. Automated deployment was only afforded to users of hosted AutoML tools and limitations still existed for security or end user experience considerations. The failure of AutoML to be end-to-end can actually cut into the efficiency improvements.