January 8, 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
Technology is so ubiquitous that this a societal problem we all have to reckon with. It’s much more serious than just affecting your family or your company. This is a problem of international magnitude, that has homeland security risks around it. That’s why we wrote the book: The vast majority of our clients still were not listening. They just wanted us for environmental work but they weren’t really sold on the hardware data destruction part of the work yet. We wanted to write this book to share some of examples of serious consequences—that this isn’t some remote, theoretical concern. ... What happens is that guy will pick up the devices for free, put them in a container, and sell them wholesale to the highest bidder. Lots of those buyers are harvesting the precious metals and materials out of old electronics — but there are also people adverse for homeland security who want to pull out the hard drives and find a way to harm us here in the U.S. or hold corporate data for ransom. From those examples you can see how you need to protect your financial and personal data on an individual level too.
Within the cybersecurity industry, the prevailing mindset is that security practitioners are professionals. Thus, a direct consequence of this mindset is that a college degree is required for many cybersecurity jobs. A recent (ISC2) report indicates that 86% of the current cybersecurity workforce has a bachelor's degree or higher. Furthermore, a quick search on Indeed.com shows about 46,000 cybersecurity jobs, of which 33,000 (>70%) require a degree. However, many cybersecurity practitioners I know would rightfully argue that a college degree isn't needed to do most jobs in cybersecurity, and strict adherence to this requirement disqualifies many deserving candidates. But removing the requirement for a college degree raises the question: Are these actually professional jobs, or should they be recast as vocational jobs? I would argue that these jobs may need to be seen as vocations instead of professions. Although many cybersecurity workers take pride in their professional status, many of their jobs are really vocational in nature and could be filled by those with the appropriate level of vocational training.
To enable true knowledge collaboration and connect employees with the information they require, we must start using the data we have in organizations to draw conclusions, at scale. In doing so, we can connect people with questions to the right colleague(s) with the answer(s). Artificial intelligence has two additional important qualities that help businesses achieve this and overcome the issues with legacy knowledge management to date. First, AI can be taught to forget. This means that not only can AI identify who knows what about a topic, but it can also contextualize that information and recognize when information becomes outdated and redundant, meaning it can ‘forget’ unuseful data as needed. Second, using non-sensitive information drawn from existing tools, AI is able to see through silos. It can use all kinds of information to draw conclusions at scale, creating in one integrated platform a live map or ‘knowledge network’ of who knows what within an organization. In short, using data, AI can build a network of knowledge and expertise in real time.
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If you know Lightroom, you will have no problem navigating darktable. Like GIMP, darktable is also open-source. New functionality is added regularly which only increases the appeal. While by no means a beginner software, the interface is sneakily slick for a program with this much power under the hood. Adjusting contrast, brightness and saturation are a breeze, manipulated by simple sliders. The same can be said for achieving perfect shadows and highlights, modifying the graduated density of your image, or adding grain. Do not be fooled, though: just beyond those simple controls lies a wealth of robust tools for more advanced users ... RawTherapee is an open-source cross-platform photo editor that offers a non-destructive, 32-bit engine and utilizes powerful algorithms to help you develop the highest quality image possible. If GIMP is Photoshop, think of RawTherapee as Lightroom. While more useful as a processing tool in conjunction with another editing application, RawTherapee is still a perfectly functional editor in its own right, offering several features familiar to Photoshop users.
Ethereum developers, for instance, have consistently stressed security over speed while making sure the network doesn't have any downtime. By contrast, the Solana network shut down for almost 18 hours in September because it was unable to handle high transaction volumes. Kline told Decrypt, "At the end of the day, chain security is incredibly important for financial transactions and for the foreseeable future Ethereum has the most security.” According to Kline, DeFi projects on other blockchains are "heavily driven by token incentives," meaning that people receive tokens that they can then trade or sell as a reward for participating. "Once Ethereum layer 2 adopts those same incentives, we are likely to see a lot more DeFi activity on Ethereum," she said. But the head of public affairs for Parity, which built Polkadot, believes developers are getting tired of waiting for Ethereum 2.0 to be fully ready. "The Ethereum sharding roadmap has changed so many times it is difficult to understand what is actually going to happen and when," said Peter Mauric.
Binghampton University Professor Sang Won Yoon explained this in detail: "With the rapid technology development, such as the Industrial Internet of Things, big data analysis, cloud computing, artificial intelligence, many manufacturing processes can be more intelligent, and Industry 4.0 can then be realized in the near future … . Data-driven solutions, such as AI and machine-learning algorithms, can be applied to diagnose abnormal defects and adjust optimal machine parameters in response to unexpected changes/situations during production. Smart manufacturing adopts real-time decision-making based on operational and inspectional data and integrates the entire manufacturing process as a 'unified framework.'" ... Imagine a series of closed-loop systems distributed at the enterprise edge that can "run themselves" in a closed environment, much like a mini-network. This could reduce present resource stressors, like challenges in managing and paying for large data payloads that continuously stream over communications lines to data centers and clouds.