
Is this Microsoft Office license the end of subscription hell?
TL;DR: Save 77% on a Microsoft Office lifetime license for Windows while codes last.
Own the complete app suite for life. Unlike Microsoft 365's recurring subscription model, this version only requires a one-time payment for lifelong access.
Immediately after your purchase, you'll receive an email containing your download link and unique software activation key. These allow you to install the software directly onto your Windows PC.
Since the Office apps are downloaded onto your device, you can use them offline. This also means that you'll never be hit with surprise interface updates that force you to relearn an app layout overnight.
This version of Microsoft Office includes Word, Excel, PowerPoint, Outlook, Teams, OneNote, Publisher, and Access. (Bonus: Did you know Microsoft 365 is permanently sunsetting Publisher? This license is a way to own it for good!)
Get the lifetime version of Microsoft Office for just $49.97 and never worry about fees, online access, or annoying interface updates ever again (reg. $219.99). Codes are limited, so act fast.
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Yahoo
an hour ago
- Yahoo
$5,892 cash boost for Aussies revealed if businesses adopt new work trend: 'Rapidly expanding'
A new trend has emerged in Australia amid the debate of whether staff should return to the office or work from home (WFH). Big-name firms like Coles, Woolworths, and Amazon have ordered workers to come back to their headquarters dotted around the country, with some companies requiring workers to be in five days a week. While that might work for larger companies with established locations, smaller players are navigating a post-pandemic world where commercial rent is high and staff appetite for coming into an office is mixed. That's why co-working spaces have established a foothold in the office space landscape. Damien Sheehan, country head of International Workplace Group (IWG) in Australia, told Yahoo Finance this trend has really been gathering pace in the last few years. RELATED Troubling workplace trend exposed as Aussie unable to find a job for a year Centrelink pension warning for 4.3 million Aussies facing super nightmare Aussie couple reveal 'cheaper' $400,000 housing solution "Corporations take 10-year leases with 3-4 per cent indexation, and then suddenly shareholders are saying, 'Well, if staff aren't coming in and productivity is still up, why do we need all this office space?'" he said. Co-working spaces have been around in Australia for decades, but many businesses across the country have been forced to confront their workspace model with a hybrid model are forking out huge sums of money for big office space that could be empty two to four days a week. Co-working spaces alleviate that cash crunch as you're sharing a floor or desk with other businesses who are trying to keep costs low. Knight Frank and the Property Council of Australia found last year that Sydney and Melbourne companies that adopted flexible workspace strategies, including co-working models, reported real estate cost reductions of up to 50 per cent. This could collectively save these businesses up to $10.5 billion by 2045. Shifting offices can help workers save thousands Sheehan said this co-working trend is "expanding rapidly" for businesses, but employees stand to benefit from this shift as well. He said businesses in IWG's network have been downsizing from their traditional office to smaller, more cost-effective spaces. But they've also set up several hubs in areas where they know many workers live to help them cut down on their commutes. He gave an example of having a central office positioned in Sydney's CBD, and then having smaller hubs that only required a few desks in Western Sydney and Macquarie Park. They could be spread interstate or in regional areas as well if there's enough staff to support that move. "Headquarters are certainly not dead," he told Yahoo Finance. "We're just seeing headquarters really rethink what they do with their own space and how they tailor that to foster culture, team building, connection, and ideation, and not lose that productivity and innovation from their biggest asset, which is their people." IWG found workers could save $5,892 per year by switching to a local co-working space two to three days per week, compared to commuting into a city centre office every day. That reduction in commuting is also expected to help workers explore side hustles, sort out life admin, exercise, pick up their kids from school, or do their grocery shopping. Co-working spaces do have one major downside William Rollo has been in a co-working office for several years and told Yahoo Finance it's a great middle ground. "It's really good," he said. "There are benefits from working from home as well as working with the team in the city." It only takes the the senior UI designer at PXP Studios 20 minutes to cycle to his office in Pyrmont. He said his co-working space has a cafe on his floor and another one on the entry level, which helps him cut down on running to the shops on his lunch break. However, he highlighted one issue of sharing a workspace with other businesses. "It's a little bit annoying when there are people on the on the phone next to me, because it's all very open-plan," he told Yahoo Finance. "Noise does travel pretty far and that's why I just wear noise-canceling headphones most of the time when I'm when I'm in the office." Traditional offices will have space for every worker and department, and make sure teams aren't distracting each other with their work. However, co-working spaces might see you sit next to someone from a completely different company, who might not care how their work impacts yours. Major benefits of hybrid working revealed Hybrid working is set to increase Australia's economy by $18 billion over the next decade, and provide 42,000 extra full-time jobs. That reduced commute time to the office is expected to an 11 per cent boost in productivity, while workers reported a 67 per cent higher rate of efficiency and effectiveness in their roles, compared to those who just work from home or work from an office. The HR Institute found close to half (44 per cent) of Aussies employers have discovered better employee retention and 41 per cent highlighted enhanced wellbeing as a result of hybrid work. Sheehan told Yahoo Finance that employers who are struggling with high rent and staffing issues should examine the hybrid and co-working space model to see if it's a fit for them. "We're helping bring people into those empty buildings and creating energy that then brings little cafe operators and other service based industries to service those workers," he said, which he explained contributes to that huge lift in full-time in retrieving data Sign in to access your portfolio Error in retrieving data


Forbes
an hour ago
- Forbes
Office Hellscapes And AI Process Mapping
Why are human workplaces so disorganized? In some ways, it's a question people have been asking themselves ever since the first cubicle dwellers rose up from the primordial swamp - whenever that was. We know that larger systems tend to be disordered, especially if they're administrated by humans. Just go read Joseph Conrad's Heart of Darkness, and it might remind you of the modern office – people and products and materials strewn about a gigantic footprint, with very little centralized control. You get the same kind of idea reading the most recent piece by Ethan Mollick on the site where he posts his essays, One Useful Thing. I always follow his posts, interested in his emerging take on the technologies that are so new to all of us. Mollick has MIT ties, and an excellent track record looking at the AI revolution from a fresh perspective. The Office Dilemma Human wothis most recent piece, he talks about process mapping and how AI can help people to sort through the disorganization of a business. Think of a company with 100 or more employees, and probably a dozen locations. The first thing you tend to find is that sense of disorder. Mollick talks about a 'Garbage Can' principle, which posits that most businesses are a collection of disparate processes thrown into a large, disorganized bin. To me, you could use the analogy of what programmers used to call 'DLL hell' in the earlier days of the Internet. DLLs are digital libraries. Their application was often chaotic and disordered. There were dependencies that would flummox even the most seasoned engineers, because things were complicated and chaotic. That's what a large company is often like. Everyone for Themselves Mollick also pointed to some numbers that I've seen in various studies, and presented at conferences where we've talked about AI over the past year. His number was 43% – the number of employees who are using AI in the workplace. But as Mollick points out, and as I've heard before, most of them are using AI in personal ways. The use of the tools is not ordered across an organization – it's piecemeal. It's people using an AI tool like you would use a hammer, or a saw, or a drill, or a lathe --- largely in an unsupervised way. However, in general, it seems AI is largely catching on, especially when it comes to product development. You have resources like this one from the Texas Workforce Commission, referencing thousands of AI jobs. So even if there's not much centralized AI in the boardroom, there is abundant AI in business processes. It's just that those processes may or may not be unified. The Bitter Lesson Then Mollick references something called the 'Bitter lesson' that's attributed to Robert Sutton in 2019. It's the idea that AI will prove to be cognitively superior to humans without a lot of poking and prodding – but given enough time and compute, the system will find its own way to solve problems. That phrase, problem solving, is what people have been saying is the unique province of humans. It's the idea that AI can do the data-crunching, but people are still doing the creative problem-solving. Well, that bastion of human ingenuity doesn't seem that safe anymore. Mollick references the early days of chess machine evolution, where eventually Deep Blue beat Kasparov. He notes that there are two ways to go about this – you can program in innumerable chess rules, and have the system sort through them and apply them, or you can just show the system thousands of chess games, and it will make those connections on its own. Back to Machine Learning Principles Reading through this, I was reminded of the early days of machine learning, where people talked a good bit about supervised versus unsupervised learning. We often used the analogy of fruit in a digital software program enhanced with machine learning properties. Supervised learning would be labeling each fruit with its own tag – banana – apple - or grapes. The program would then learn to correlate between its training data and new real-world data. That comparison would be its main method. And that comparison isn't hugely cognitive. It follows the tradition of deterministic programming. The unsupervised version would be simply to tell the program that bananas are yellow and long, that grapes are purple or green and have clusters, and the apples are red or green and round. Then the system goes out, looks at the pictures and applies that logic. The interesting thing here is taking that analogy to the bitter lesson. Is AI more powerful if it simply analyzes reams of training data without applied logic? Or is it more powerful if it can actually distinguish between various kinds of outcomes based on requested logical processes? Which came first: the chicken or the egg? The theory of the bitter lesson seems to be that the system can actually do better through supervised learning. But that supervision doesn't necessarily have to be human oversight. The machine gets a practically infinite set of training data, and makes all of its own conclusions. That's contrasted to an approach where people tell the machine what to do, and it learns based on those suggestions. Back in the era of supervised versus unsupervised learning, the unsupervised learning seemed more powerful. It seemed more resource-intensive. But AI might finally show us up just by doing things in a more efficient way – if I can use one more analogy, it's the traditional idea of the Laplace demon, an invention of the physicist Pierre-Simon Laplace who suggested that if you know enough data points, you can predict the future. In other words, brute force programming is king. We learned a lot of this in the big data age, before we learned to use LLMs, and now we're seeing the big data age on steroids. In Conclusion I also found a very interesting take at the end of Mollick's essay where he talks about businesses going down one or the other avenue of progress. Sure enough, he suggested that these companies are playing chess with each other – that one of these chess teams consists of companies using AI to be logical, and that another chess team consists of businesses using it for brute force programming and classification. If all of this is a little hard to follow, it's because we're pretty securely in the realm of AI philosophy here. It makes you think about not just whether AI is going to win out over human workers, but how it's going to do it. I forgot to mention the exponential graph that Mollick includes showing that we're closer to AGI then most people would imagine. Let's look back at the end of this year and see how this plays out.


Digital Trends
4 hours ago
- Digital Trends
Microsoft Windows: Everything you need to know
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