Many leaders were fixated on the outdated idea that ‘only certain roles’ could be done remotely. These same leaders tended to perceive people who wanted to work from home as being ‘driven by a need for balance’. As a result, remote workers were seen as lazy while more ambitious workers were ‘present and accounted for’. With this sudden and complete shift to remote work for almost all workers, leaders will be faced with a new data set from their own experience. It is one that demonstrates that many roles – including their own – can be done successfully remotely.
If blockchain is to fulfill its promise and join the Internet and AI as a major 21st century transformative technology, it must lead, over time, to the creation of innovative new applications, companies, industries and markets. When designing the network’s path to value, organizations should consider how they can radically shift more power to the consumer or capture the long tail. Founders of new market networks may seek opportunities to exploit underutilized assets by bringing them into the sharing economy or create new partnerships.
Spark gives memory errors a lot of times, and it is only when you genuinely work on big datasets with spark, would you be able to truly work with Spark. This article tries to summarize a few of the problems that you may face around memory issues and configurations while working with Spark and how to solve them. There are a lot of other configuration options in Spark, which this article has not covered, but hope this post gives you some clarity on how to set these and use them.
The benefit of hybrid AI systems is that they can combine the strengths of neural networks and symbolic AI. Neural nets can find patterns in the messy information we collect from the real world, such as visual and audio data, large corpora of unstructured text, emails, chat logs, etc. And on their part, rule-based AI systems can perform symbol-manipulation operations on the extracted information. Despite the heavy dismissal of hybrid artificial intelligence by connectionists, there are plenty of examples that show the strengths of these systems at work.
Technically, TLS 1.3 is the seventh iteration of the SSL/TLS protocol. SSL 1.0 was never officially released, 2.0 and 3.0 were short-lived. And then TLS 1.0 was introduced as a replacement to SSL. There were some technical differences between SSL and TLS – namely, at first, whether the connection began by port or by protocol – but the premise was largely the same. TLS 1.0 was replaced by 1.1, which was succeeded by TLS 1.2 two years later in 2008. TLS 1.3 was finalized last in 2018.
One of hottest topics among freelancers this week is the future of remote work. That’s my question this week to freelance leaders: How do you see the medium and longer term impact on your business of the current ‘shift to remote’ of your clients because of COVID-19? Overall, leaders see remote as a game changer and a win/win for freelancers, organizations and employees. But, sustainability needs a firm foundation: the right investment, good operational plumbing, smart HR systems, strong soft skills, and outstanding communication.
New technologies are reshaping the educational sector, making it easier to create, deliver, and share course materials. And instead of expensive textbooks and software tools, students can now access free resources that save them money and provide a better learning experience. This especially benefits the STEM field, as tech-savvy students are eager to use online resources to improve their education. While they seek knowledge, students should also work on their critical thinking skills and learn how to communicate more effectively with their peers and teachers.
Companies and organisations across world are dealing with an unprecedented and serious impact on their ability to do work. Once the economic crisis begins to abate, businesses and industry will face a new challenge: how to quickly and flexibly rebuild their workforce, with the skills and expertise they need for the new opportunities in a transformed economy. Not only do institutions have an obligation to ensure their employees are future-ready, but it is also a strategic opportunity for them to engage in a fast-moving area of the future of work.
The Platform Security Architecture (PSA) offers a framework for securing connected devices. It provides a step-by-step guide to building in the right level of device security, reducing risk around data reliability, and allowing businesses to innovate on new ideas to reap the benefits of digital transformation. The PSA is a holistic set of threat models, security analyses, hardware and firmware architecture specifications, and an open-source firmware reference implementation. There is need to address the issues associated with developing and productizing secure embedded systems and IoT devices.
No doubt, it seems like video conferencing and remote work will become increasingly mainstream. But there are other corners of the tech industry that could be poised for transformations. One is actually Robotic Process Automation (RPA). As is the case with any technology, RPA is not a cure-all. It certainly has its disadvantages, like high license costs and difficulties with scaling. Successful implementations also require a strong focus on change management within the enterprise.
Becoming a remote organisation means that your employees should become a digital employee. This requires a shift in mindset and, more importantly, a change in culture. The idea is that building a culture with co-located teams is easier than with remote work. However, when working remote, you know that building a company culture will be hard, and hence, fully remote companies pay a lot of attention to it. However, if you all of a sudden have to switch to a remote-working culture, the challenge might even be harder.
The COVID-19 pandemic has changed business and work as we know it. But, unlike the pandemic — which is temporary — the change in the way we work will be permanent. As organizations navigate the shift towards remote work, culture is what will dictate success. Businesses that are able to nurture and strengthen their company culture during this time will come out of the crisis more resilient; therefore better prepared to face the challenges and disruptions that lie ahead. As companies continue to navigate uncharted waters with the pandemic, they will mark the path for the future of work.
Blockchain, IoT and AI are innovations providing tremendous benefits for security, transparency, immutability, privacy and the automatization of business processes. However, the impact of these innovations is even higher when blockchain, IoT and AI are combined. We argue that these innovations will converge in the future, driving the digitization of the industry. This convergence will increase the quality of data management by reaching a higher degree of standardization, privacy and security of data. Blockchain technology, combined with IoT and AI, will pave the way to a new age of digitization.
The machine learning field is one of the fastest-growing domains in the current technology industry. A machine learning job has been considered as one of the most sought after jobs by most industries. The job role such as ML engineer offers lucrative salary packages with a promising career. According to Indeed, a machine learning engineer has topped to be one of the best jobs in 2019 with a growth of 344 percent. This delves deeper into the trending tech occupations in machine learning.
In the next five years, more than half of all workplace tasks will be performed by machines. Many jobs, as we know them, will cease to exist. We’ve long considered machines an existential threat to our livelihoods. And yet economies - especially in the developed world - have survived. But if the research is right and twice as many new jobs are about to emerge than were lost to disruption, then how worried should we really be? And how much can we say we know about the coming age of technological unemployment?
Today, there's a lot of confusion about what artificial intelligence (AI), machine learning and deep learning actually are, what "intelligent machines" can do, and what the current state of AI technologies actually is. It's time to enjoy some good old debunking, so let's bust the 10 most common myths about AI. Simply put, AI has nowhere near the intelligence needed to understand the world around itself and make autonomous, rational decisions. Each algorithm is developed to perform one task and is not able to do anything outside that, let alone reach the ability to think independently.
What we can expect is a new balance between physical and digital space as more people and businesses embrace the potential of remote work for the first time. It also presents an opportunity for workplace managers to emphasise their importance to the growing number of organisations who will be prepared to adopt more agile and distributed workplace cultures. We can expect a great deal of conjecture about the future of work. Let’s rediscover our connections with others and create better spaces to share with them.
The future of work would be born out of the present landscape at work – an amalgamation of the need to change, the desire for speed and the demand for augmented experiences. Here are the ten key trends that organizations should prepare for. We see growing to impact the workplace in the coming decade, the world of work is a dynamic macrocosm where even the smallest changes, lead to big differences and subsequent trend waves. However, what organizations need to ask themselves is whether they are happy playing catch-up or ready to lead change.
With the development of Artificial Intelligence, forecasting as we knew it has transformed itself into a new phenomenon. Traditional forecasting is a technique that takes data and predicts the future value for the data looking at its unique trends. Artificial Intelligence and Big Data introduced predictive analysis that factors in a variety of inputs and predicts the future behavior — not just a number. In forecasting, there is no separate input or output variable but in the predictive analysis you can use several input variables to arrive at an output variable.
Recently, the Anti-Phishing Working Group published a study that found 58% of all phishing websites are now served via HTTPS. Some reports put that number as high as 90%. HTTPS phishing is continuing to evolve. URL-based attacks had overtaken attachment-based attacks as a means of delivery. This trend continued in Q1 2019. URL-based attacks are harder to identify because they require a more dynamic means of detection. So, today, we’re going to talk about what URL-based HTTPS phishing is, the rate at which it’s increasing and we’ll wax philosophic about how get here.
How to make sure that the next wave of globalization doesn’t leave anyone behind. To achieve that goal, reskilling will need to be deliberately and proactively pursued. One of the barriers to adopting a reskilling programme to date is that it has been difficult to assess the cost benefits. Businesses need to weigh up the expenditure of redundancy pay and the cost of recruiting, along with the loss of productivity during the retraining period and the impact on staff motivation of any job losses.
In every industry, businesses are considering and implementing multicloud strategies, virtualising their infrastructure, and selecting a range of cloud providers, instead of depending on a single vendor. However, multicloud isn’t for every business, and isn’t without its challenges that need to be overcome in order to reap the benefits. Before embarking on a multicloud journey, take a step back and identify the desired business outcomes. Cloud isn’t a panacea to all IT problems.
Just because data is tough to read does not mean it is useless. The good news is that technology exists for brands to leverage it and plan for the long term – all they need to do is pick up the data and analyze it. Artificial Intelligence allows quantifiable insights from unstructured data. Artificial Intelligence allows brands to receive and respond to customer feedback in real-time, both through influencer analysis of social media platforms and the in-depth capturing of customer expectations, preferences, and aversions.
The real challenge of the Fourth Industrial Revolution isn’t the robots – it’s that we aren’t properly training humans for the available jobs. While the outlook for jobs is positive, on average, 42% of skills requirements are expected to change by 2022 alone. Reskilling is one of the major necessities and challenges of our era. Many of these skills can’t be learned in the university lecture hall. You need to give bespoke skillset to flourish in the role and the industry and it is its apprenticeship. Right now, it’s something global companies would be wise to consider, too.