CIOs reimagining an organization’s digital strategy need to ensure that their employees can communicate effectively and have complete access to resources needed to perform their jobs. This means that employees do not receive just their laptops and an email account but have full access to a complete tech stack and set of solutions that empower them to interact with their peers and customers. AI- and ML-powered solutions help enhance the employee experience by saving time for people to connect with their teams and helping infuse mental well-being along with a company’s values and purpose. The best way to understand whether your employees are well supported to carry on their job is by gathering feedback from them. Send out a simple form with both open and closed questions on the potential communication gaps, remote work support and access to available resources. Once you have all the information, analyze the gaps and improvement opportunities to pick the right tools. Make sure that the tools you choose integrate with your organization’s tech ecosystem while delivering value.
Supercomputers are primarily used in areas in which sizeable models are developed to make predictions involving a vast number of measurements, notes Francisco Webber, CEO at Cortical.io, a firm that specializes in extracting value from unstructured documents. “The same algorithm is applied over and over on many observational instances that can be computed in parallel," says Webber, hence the acceleration potential when run on large numbers of CPUs.” Supercomputer applications, he explains, can range from experiments in the Large Hadron Collider, which can generate up to a petabyte of data per day, to meteorology, where complex weather phenomena are broken down to the behavior of myriads of particles. There's also a growing interest in graphics processing unit (GPU)-and tensor processing unit (TPU)-based supercomputers. “These machines may be well suited to certain artificial intelligence and machine learning problems, such as training algorithms [and] analyzing large volumes of image data,” Buchholz says.
The time is right for IT leaders to turn to their teams and gain a clear understanding of what they actually have in place. While the initial response to the pandemic was reactionary, now is a moment to assess an organization’s app and security landscape and what is actually providing access to users no matter where they are, whether they’re at home, in the branch, or anywhere in between. Rationalizing the purpose and usage of solutions that are in place today provides a real opportunity for consolidation—one that did not seriously exist previously. Many organizations will be able to drive better outcomes around security posture, reducing risk, and improving total cost of ownership. Consolidating the number of disparate tools in use to provide secure user access improves security posture consistency and reduces the number of policies that have to be administered. Besides reducing needed multi-product training and management effort, a platform approach drives better economies of scale, resulting in a lower total cost of ownership. Net-net, consolidation delivers a far more effective approach for security.
In the Web3 world, search engines, marketplaces and social networks will have no overriding overlord. So you can control your own data and have a single personalised account where you could flit from your emails to online shopping and social media, creating a public record of your activity on the blockchain system in the process. A blockchain is a secure database that is operated by users collectively and can be searched by anyone. People are also rewarded with tokens for participating. It comes in the form of a shared ledger that uses cryptography to secure information. This ledger takes the form of a series of records or “blocks” that are each added onto the previous block in the chain, hence the name. Each block contains a timestamp, data, and a hash. This is a unique identifier for all the contents of the block, sort of like a digital fingerprint. ... The idea of a decentralised internet may sound far-fetched but big tech companies are already betting big on it and even assembling Web3 teams.
Both private firms and governments, which would be adopting A.I. drove technologies, could be attracted to the opportunity of violating the individual’s privacy and data security for their own selfish reasons. Large private corporations, especially technology and social media companies such as the big four of the big tech, which includes Google, Amazon, Apple, and Facebook, they’re already sitting on massive quantities of user data, which they’re looking to monetize, and such monetization of data in the name of customized services and targeted advertisements could have a disastrous impact on the user’s privacy and data security. The bigger threat will emerge when such sensitive user data is misused for social engineering to alter the customer's behavior and choices. ... Today, algorithms are so sophisticated that they can predict the user's next action based on their private data analysis. It’s very much possible to make use of such user data to nudge the individual discretely to alter his behavior and choices, and this has far-reaching implications for the economy, for society, and as well as for the security of a democratic nation.
Businesses need an incident response plan that will clearly outline the steps to be followed when a data breach occurs. By neglecting to do so, the organization will become the low hanging fruit that attackers go after. Even a rudimentary plan is better than no plan at all, and those without one will suffer a much higher impact. The incident response plan needs to outline the steps to be followed when a data breach occurs. Teams need to identify and classify data to understand what levels of protection are needed, a step that is regrettably missed all the time. For instance, personal identifiable customer information needs a different level of protection to the photos from the last Christmas party. Teams also need to maintain cyber hygiene through regular patching, and since 90% of breaches start with an email, it is very important to have email protection, multi-factor authentication and end-point protection to prevent any lateral movements by cybercriminals. Perhaps my biggest piece of advice is to have experienced personnel monitoring your environment 24/7, 365 days a year (including Christmas).
Initial access brokers sell access to corporate networks to any person wanting to buy it. Initially, IABs were selling company access to cybercriminals with various interests: getting a foothold in a company to steal its intellectual property or corporate secrets (cyberespionage), finding accounting data allowing financial fraud or even just credit card numbers, adding corporate machines to some botnets, using the access to send spam, destroying data, etc. There are many cases for which buying access to a company can be interesting for a fraudster, but that was before the ransomware era. ... Ransomware groups saw an opportunity here to suddenly stop spending time on the initial compromise of companies and to focus on the internal deployment of their ransomware and sometimes the complete erasing of the companies' backup data. The cost for access is negligible compared with the ransom that is demanded of the victims. IAB activities became increasingly popular in the cybercriminal underground forums and marketplaces.
The concept of the circular economy has been around for a while, but it’s now taking off in a big way. NTT’s Lombard says that it’s a key to getting to net zero. This means establishing business and IT supply chains that focus on optimizing the lifespan of equipment, moving toward zero-emission closed loop recycling and curtailing e-waste. For example, there’s a growing second-hand market for high-end gear, including hyperscale infrastructure. Companies like IT Renew recertify these systems and place them under warranty. “Everyone wins,” says Lucas Beran, principal analyst at consulting firm Dell’Oro Group. “The original user gets two or three years of use; the buyer gets another three or four years -- all while TCO and the carbon footprint drop.” ... Data centers are expected to consume about 8% of the world's electricity by 2030. While refreshing legacy servers, optimizing data, virtualizing workloads, consolidating virtual machines and green hosting all deliver benefits, these strategies aren’t enough to tackle climate change. Organizations must fundamentally rethink data center design and function.
For cities, it can be challenging to ensure citizen and worker safety when natural disasters occur. Incidents such as hurricanes, floods, fires and gas leaks are unpredictable and often impossible to prevent. To put it in perspective, most people have lived through some disaster, with 87% of consumers saying they’ve been impacted by one in the last five years (not counting the COVID pandemic). Safety will only become more critical over the next few decades as natural disasters are becoming more frequent, intense and costly. Since 1970, the number of disasters worldwide has more than quadrupled to around 400 a year. Since 1998, natural disasters worldwide have killed more than 1.3 million people and left another 4.4 billion injured, homeless, displaced, or in need of emergency assistance. Smart sensors and advanced analytics can help communities better predict, prepare and respond to these emergency situations. For example, IoT sensors, such as pole tilt, electric distribution line, leak detection and air quality sensors, can be leveraged to mitigate risk minimize damage.
It is regrettable that the meaning of the technical debt metaphor has been diluted in this way, but in language as in life in general, pragmatics trump intentions. This is where we are: what counts as "technical debt" is largely just the by-product of normal software development. Of course, no-one wants code problems to accumulate in this way, so the question becomes: why do we seem to incur so much inadvertent technical debt? What is it about the way we do software development that leads to this unwanted result? These questions are important, since if we can go into technical debt, then it follows that we can become technically insolvent and go technically bankrupt. In fact, this is exactly what seems to be happening to many software development efforts. Ward Cunningham notes that "entire engineering organizations can be brought to a stand-still under the debt load of an unconsolidated implementation". That stand-still is technical bankruptcy.
Quote for the day:
“When you take risks you learn that there will be times when you succeed and there will be times when you fail, and both are equally important.” -- Ellen DeGeneres