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Data is worth more than most people realize. That’s not entirely surprising, given that it’s a relatively new phenomenon and the recent explosion in data is only just starting to become apparent.
But data has a whole lot of uses, and that means there are a whole lot of reasons to manage it well and build an ecosystem that functions properly. From self-driving cars, through Internet of Things devices, all the way to industry maintenance and research, data is profoundly useful.
Our own personal data is important, too, and there’s a lot of it. Every minute Snapchat users share 527,760 photos, YouTube viewers watch 4,146,600 videos, and 456,000 tweets are born.
We need to change the system, so individuals get fairly rewarded for providing the data which brings in astronomical profits for those who rely on it.
Let’s take a deeper look at the current problems with how data is used.
Is the data economy broken?
The data we share on Facebook reveals a lot about us. When properly deciphered it tells people what we like to do in our free time, the products we’re interested in, and where we direct our attention and money.
It’s not just Facebook, either — companies like Google, Twitter, and many more also have access to mountains of this wildly valuable data. But while these platforms get richer and richer from this resource that we provide, we get basically nothing in return.
Even though users are generating data, it isn’t our property. That needs to change, and lots of people think blockchain is the key to that.
Using blockchain to change the world of data
That gives the third parties a lot of power and has allowed them to build monolithic business empires.
But companies like O2OPay want to change that system. They want to use blockchain technology to decentralize the space and allow companies to get data directly from the source — the users.
This benefits both sides of the equation. In O2OPay’s system, users are rewarded for the data they generate with tokens which can be exchanged in the physical world. In effect, they’re being paid when companies use their data.
For businesses it’s a plus, too. Because they can collect data directly from users instead of navigating a third-party relationship, this allows them to build more accurate profiles and use the data more reliably.
It doesn’t end there. O2OPay want to allow users to share both online and offline data. So this would include not only their social media activity, search information, and chat content (online data), but also their location, payment information, and the services they subscribe to (offline data).
That allows businesses to build a far more complete and useful profile. And security is a key concern for O2OPay. By using blockchain, which is immutable and transparent, they’re removing the risk of corruption and irresponsible use of data. It’s possible to track data every step of the way, so nefarious activity comes to light quickly.
In an age where people are getting increasingly concerned about how their personal data is used, this provides peace of mind.
Blockchain could change the data economy in a big way, by returning ownership of personal data to the users who originally generated it. This way, they can be sure their data is used responsibly and safely, get paid for it, and expect it to be used in a more effective way that benefits everyone.
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Encouraging focus on conversion optimisation has to be the way forward
For many companies, driving traffic to their websites is still the ultimate goal.It’s the way they measure the strength of their brand, and the the effectiveness of their campaigns.
There’s nothing wrong with this, as long as we understand that traffic is not the holy grail and certainly not the only purpose of interactive marketing. All kinds of marketing can be used for all business goals, depending on context, and sheer visitor numbers really don’t mean anything by themselves. For transactional sites in retail, travel and financial service the conversion points are obvious and there is much more focus on conversion optimisation. But many, many businesses don’t fall into this category and they’re not tracking the many forms of conversion. All types of sites have many micro-conversions that could be measured, but often aren’t.
Four critical questions about online traffic
Traffic is good. It’s even crucial. Without visitors to your website, you’ll never sell anything through online channels. That much is self-evident.
However, so many companies invest tons for measures to generate traffic, that they lose sight of the essentials:
What percentage of my visitors is relevant for my business?
How valuable are my website and online communication for the people I’m trying to reach or attract?
What cross-channel mix is best for creating the most cost-efficient traffic?
And most importantly: what do we do with visitors once they’ve landed on our website, blog, etc.?Conversion is a mentality
And ultimately, there is one important parameter for seeing and improving results: conversion. Everyone knows it, but businesses do not turn that knowledge into action by building a systematic conversion optimisation process.
It is obvious that optimisation of conversion is still being treated as something superfluous by many businesses, when in fact, it’s a veritable Cinderella. The daily and incremental improvement of all cross-channel marketing activities, landing pages, etc. is a question of processes and most importantly of mentality.
By excessively focusing on traffic and the short-term, people all too often forget this.Incremental growth by continuous cross-channel and multi-dimensional optimisation
In 2010, ZenithOptimedia said that of all the money that would be spent on traffic generation, only 2 to 3% would lead to effective conversion. Imagine what it would mean for your business if it grew by just one percent month after month. The incremental impact on the bottom line after a relatively short period of time would be huge.
It is therefore, time that more thought and resources be put into increasing results through continuous analytics and conversion improvement. And there is no business that cannot improve its conversion score because it’s a comprehensive and cross-channel never ending exercise encompassing content, media mix, landing pages, call-to-actions, etc.
Measure and improve each element, always a little more: use all conversion techniques, from A/B tests and usability improvements to content customisation and the interaction channels the customer or prospect can choose from.
This is much more important and profitable than forever chasing after more traffic. Again: it may be obvious, but it’s definitely not being done enough. Want proof? I recently found some data via Bryan Eisenberg that for every 95USD businesses spend on generating traffic, they only spend…one on conversion optimisation.
Knowing that we live in an online world where online penetration is high and people are overwhelmed by information and communication, that is a shocking low number.
In the end, optimising conversion is a matter of customer-centricity. People will only take action if something is perceived valuable by them. Not working on conversion means not improving the customer experience.
So I think building on marketers understanding of the importance of knowing the customer and delivering relevant engagement devices is one approach to make the case for more focus on conversion optimisation. What do you think? How do you make the case for conversion optimisation in your company or clients?
Arria NLG has a unique approach towards the deployment of NLG. As there are so many markets and use cases where NLG can and will offer a huge value-addition, Arria NLG’s software design allows its customers to decide on where to implement NLG to meet their goals and challenges. The company’s “Studio” solution which can be deployed as a SaaS and on-premise solution has been designed for users within an organization to write and deploy their own narratives. Studio is supported by their SDK and also with the Microservices available on their NLG marketplace store. Arria also has a professional services division to help clients with their implementation.
The Foundation of Arria NLG
Arria NLG was set up to enable the use of NLG and was inspired by the history of the founders of the University of Aberdeen and their dedication to language. Arria’s mission is to democratize NLG technology making it easily available to everyone, everywhere. Arria’s journey dates back to 1495 when the University of Aberdeen was founded with a focus on language and the pursuit of truth in the service of others. Bishop Elphinstone believed in the Power of Language as we do today. His beliefs are what led to the creation of Natural Language Generation technology.
It was not until 2009 that the University identified the global potential of the breakthrough of their NLG software technologies and finally in 2013 commercialized the technology as we know it today, Arria NLG. The company brings the power of language to data, big data technology,and AI. At Arria, they are not just building a global commercial enterprise, but a scientific legacy.
About the Team
Stuart Petersen is the Chief Strategy Officer at Arria. The company is led by Co-Founder, Chair and CEO, Sharon Daniels as well as two leading experts in NLG technology, Chief Scientists and co-founders, Dr. Ehud Reiter and Dr. Yaji Sripada. Sharon has decades of experience in developing and implementing technology within global enterprises. Her background in business strategy, technology, and how to implement new transformative technical capabilities within complex commercial settings allows Arria NLG to meet and exceed its growth targets. Sharon is recognized globally as an industry leader. Notably, Sharon was also co-founder of Diligent Corporation which was acquired in May 2023 for US$624 million
Strong Leadership Position with Global Recognition
Arria’s patent portfolio protects its proprietary articulative analytic techniques and NLG Technologies. With these 13 core NLG patents (and many more pending), Arria maintains its commanding position in the NLG marketplace. This patent achievement allows Arria to maintain sole ownership of its core differentiators with the strength and scalability of pure computational linguistics. In addition, the technology suite ensures everyone has an NLG solution to fit their specific skill sets and needs (STUDIO, SDK and Microservices).
In 2023, Arria won the Best Innovation in NLP category at the Alconics awards, the world’s only independently-judged awards celebrating Artificial Intelligence for Business, which were announced at the AI Summit in London.
Also, in 2023, one of Arria’s customers, Urbs media in conjunction with the Press Association, received a 706k EURO grant from Google to fund its local news automation service (which is powered by Arria’s STUDIO technology). This is one of the largest grant allocated from Google’s Digital News Initiative (DNI) to date, which is focused on stimulating and supporting innovation in digital journalism across Europe.
Arria NLG offers a unique approach of providing solutions and services that directly give a user the power to cleanly and consistently capture and deploy human expertise and insight directly from the heart of the data, all in real-time. The company believes that the technology will really push big data even further into the mainstream.
Arria NLG does not know all the use cases where NLG can be deployed because when we look at everyday life, we can see so many areas and use cases where NLG can be deployed for the immense benefit to both people and business.
Challenges Executed by Arria NLG
Arria NLG’s story has been the traditional technology company in a technology paradigm that has been in its infancy, irrespective of how good that technology is and is now moving into the core adoption phase. Even though NLG has been around for some time now, the growth of big data and NLP (Natural Language Processing) has been the enabler for NLG to become embraced by businesses at scale. Arria feels that we are now at that adoption and growth phase of NLG.
NLG is an area where there are so many potential use cases within different industries such that a company can get lost in trying to meet all the requests coming in from these areas. Successful companies analyze, focus and execute on where there is the coalescence of repeatable opportunities with a large potential market audience and the application being able to meet those needs. At Arria, the company has striven to focus on where they believe the best markets and use cases are and stay focused on them.
Insights into the Future
The company foresee a huge adoption of NLG across many markets and use cases and the ones that we had not even thought were possible. NLG is being co-mingled with NLP to drive what is now being called “Augmented Analytics”. As Arria is providing “Studio” solution to their clients so that they have the ability themselves to build NLG into the core fabric of their business, the company truly believes that we have only started to scratch the importance of NLG and Arria is perfectly positioned to become the pervasive solution to one of the most pervasive technologies for many years to come.
Technology is ever-evolving. People are making groundbreaking innovation and tackling world issues that are making our lives easier. In this article, we will discuss the
All the technology which we have mentioned in the article has the potential to change the world that we live in. It can revolutionaries how we travel, it can change our health care system and even how we work.Top 5 Upcoming Technology that may Change the World
So without any delay let’s get started.
The first technology that we have in our list is Quantum computer’s.
In the last few years, we have not only reduced the size of the computers. But we have also increased our computers’ computing power; for example, modern smartphone phones have 100 times more computation power than the military computer built 50 years ago.
Computers that we are using today have some limitations. The most common limitations facing computers are their speed, storage, and energy consumption issues. Computers take a lot of time to solve complexes mathematical equation. That’s why there is a need for such computers which are better in every field then the computers we are using today.
Companies like Google, IBM and Intel are using quantum physics principles to make such computers, which is why they are called Quantum Computer.
The simple working model of Quantum computers have been successfully made, and we are using them to solve some small calculations.
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How do Quantum computers work?
The computers that we are using right now such as Desktops, Laptops, Smartphones or Tablets are also known as Binary Computers because all the functionalities of these gadgets are based on the binary number 1 and 0.
To perform calculations a binary computer uses a processor has a transistor, and every transistor can either be at on-state or at an off-state that means in yes or at no state. On stage representation, one and off stage represents zero. The 0 and 1 in the binary computer which is used to do computing are called bites.
On the other hand, Quantum computer uses quantum bites or Qubit to do computations. Qubit has some extra function which you don’t get in bites. In the case of the bite, information either exists in 0 or 1 but in Qubit, information can be at 0 and 1 stage simultaneously, which is why a Quantum computer can solve complex mathematical solutions so much faster.
Quantum computer can revolutionize the society we live in from Finance, Defense and health care, and I don’t know about you but of all the Top 5 Upcoming Technology That May Change The World in this list, I am eagerly waiting about this to become a reality someday.
You may have heard about AI or artificial intelligence and believe it or not, but we are currently using AI on your smartphones in software such as Google Maps and Google Voice assistance.
How does Artificial Intelligence work
AI and his ability to automate millions of jobs worldwide have consistently been in the headline in the past few years, yet many people are confused about what AI precisely is? How does it work? And what it means for our future?
To understand AI, It is helpful to first think about human intelligence.
We can break down Human intelligence into specific categories like, think of our five senses. We use them to perceive our world, for example, if you are sitting on a beach, you might see various similarly shaped and coloured objects that you recognized and lable them on the bases of what they are.
You may see some people in the distance laughing and conclude that they are having a good time. You may also feel a piece of trash under your foot and decide to throw it in a nearby dustbin.
In each of these examples, you use a different category of your intelligence to make conclusions and decisions based on your perception and thoughts.
Artificial intelligence also works similarly like this. AI is a subject within computer science that tries to replicate and improve human intelligence by mimicking it using a computer program.
Now think how you might create artificial intelligence using the example that we talked about. Could you train a robot to detect an object that it could perceive as trash and the collect it and put it into a trash can.
If you did, then you will be creating a robot that uses multiple forms of human intelligence such as patter recognition the robot seeing an object and recognizes it as trash or robot navigating the beach and avoiding objects to move towards trash.
Just like psychologists have broken down human intelligence into different categories, computer scientists have broken down artificial intelligence into different categories with each speciality of its own.
Advantages of Artificial Intelligence
Human beings cannot work 24×7 but an AI machine can work that much without taking any breaks.
Humans make mistakes, but on the other hand, the computer does not so if we use AI, there will be a reduction in error caused by humans.
AI is powering many inventions in almost every domain which will help humans solve complex problems.
AI can take faster decisions with great accuracy.
Self Driving Cars
You all know about self-driving cars and thanks to Tesla we now have self-driving vehicles on the road but what’s been done so far is only the tip of the iceberg.
Do you know that there are different levels on self-driving automation, and the goal of these companies is to achieve level 6 automation.
Automotive Companies are working hard to make a self-driving cars a reality and big companies like Mercedes and BMW have announced that they will launch self-driven cars in the market by the year 2024.
All self-driving cars would be electric which is good for the environment.
According to a study, an average metropolitan driver spends around 40 hours a year stuck in a traffic jam. Once a self-driving vehicle becomes reality traffic jams will disappear.
The number of road accident has reduced significantly since the 1970s, but still each year there are 1.35 million people killed in a road accident, and once self-driving cars are on the road number it is expected to reduce by 90%.
As self-driving technology is new and there are hundreds of components used in them such as camera, radars and sensors that the reason why the self-driving vehicles can cost more than a premium vehicle that we have now.
As self-driving cars are stuffed with electronic equipment, they are challenging to produce on a large scale.
How does Self Driving Cars Work
Self-driving cares use sensors like Sonar, Radar, Camera’s and LiDAR, which gives the car a 360° view.
Cameras record’s the surrounding of the self-driving cars and detected various signs on the road and the color on the traffic light, and then sends this optical information to the car’s processor.
Then self-driving cars use the radar and sonar to detect the other vehicle and their speeds and then send this information to the car’s processor.
LiDAR is considered to be the eyes of self-driving cars. It is placed at the top car. LiDAR rotates and sends laser pulses every second. Once the pulse gets reflected on the object, the LiDAR then makes a 3D image of the surrounding and sends that information to the processor.
Once the processor received all this information from the Radar, Sonar, Camera, and Lidar. It processes all that information together and then passes that data to the AI system of the car.
AI system is the car’s actual brain, and it controls the steering wheels, accelerator, and breaks of the vehicle.
Do you know what company and organization like Boeing, NASA and Volkswagen have in common?
Thay all have started using 3D printing into there work in some form or another.
You may think that 3D printing is a new technology, but the first 3D printer makes its first appearance in the early 1980s. Still, they were very expensive, difficult to use and generally inaccessible to people who lack specialized training.
Flims like Dark man and TV shows like Westworld even predicted the printing of human body parts.
3D printing is bringing many changes to several industries right now. Companies have started printing everything from fully functioning car parts to a fully functional human organ, like bladder and body parts.
3D printing is a process of making solid three dimensional objects from a digital file which is also called additive manufacturing. 3D printing centresaround layering materials like plastic composites or biomaterials to create that range in shapes, size, colours and rigidity.
With the help of 3D printing, manufacturers and enthusiasts can print aluminium parts, human tissue and carbon fibre tools.
There are currently nine basic types of 3D printing with SLA, FDM and SLS printing being the most common.
Prices of 3D printers have dropped from $10,000 to less than $1,000, allowing consumer-friendly 3D printing manufacturer to pave the way for accessible 3D printing.
Experts predict that the global printing market will reach 47 billion dollars by 2027.
3D printing gives manufacturers the ability to rapidly prototype and even rapidly manufacture crucial products or components. 3D printing also enables the user of complex shapes using fewer materials than traditional manufacturing methods.
3D printing has the potential to slash manufacturing time and costs and also has the potential to innovate in a vast number of manufacturing areas.
NASA and it’s affiliated like relativity space are not only usinging 3D printing for printing crucial rocket parts, but they also believe that additive manufacturing will help us colonize Mars and other planets.
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Companies like New balance are looking to use additive manufacturing to improve their products and create custom apparel, which is all just a tip of the iceberg.
Some of the more apparent benefits of 3D printing include reduced costs, faster product development, precise prototyping, and improved customization.
In the coming future, you will see 3D printing used to produce an increasing variety of goods. 3D printing is a technology that will completely change the world that we live in.
In 2014 Elon Musk, mention this idea of this futurist transportation system of passengers pods travelling through tubes at a very high speed.
The idea of a Hyperloop has been around for a couple of years, and there are many companies which are working towards making this vision into reality.
Hyperloop uses two principles. Magnetic levitation and a low-pressure vacuum environment using these two principles we can make Hyperloop become a reality. It will be the fasted transportation mode by achieving the speed of more than 1000/KM an hour.
This similar technique is also being used in some the fastest train in the world, including the maglev train in Japan.
Virgin Hyperloop claims that the Hyperloop they are developing is 3x faster than a high-speed train and 10x faster than a regular train.
The Hyperloop is very eco friendly and can run on renewable energy because of magnet’s there is no need for fuels.
Hyperloop is so fast that you can get from Abu Dhabi to Sharjah in 10 minute. Taking this same route would take more than 1.5 hours and would be way more stressful.
Virginia hyperloop is the only company that has successfully tested Hyperloop with people inside. This test took place in a Virginia Hyperloop 500 meters test site in the middle of Nevada’s desert.
But before Hyperloop became a reality, there is a lot of bureaucracy to overcome before a working Hyperloop would be ready for everyday use.
The Hyperloop movement is here to stay, engineers worldwide are working on it to make a reality but once it becomes a reality then this technology that may change the world.Aryan Sharma
Aryan is a tech enthusiast who likes to write about TVs. He founded Mr TV Guru, a site that aims to help a consumer make a better decision while purchasing a new TV.
RPA is the fastest growing sector of the worldwide enterprise software market. Unsurprisingly, interest in RPA has been consistently increasing in the previous 5 years. It gives software the abilities to permit machines to chip away at any site or application in a similar manner as people. It maintains records, calculations, questions, and business transactions. Pretty much every industry has deployed RPA in its business so as to improve productivity and diminish human work. This is the reason enterprises require RPA developers who can help in deploying automated systems. 3 factors that have accelerated the growth of RPA which puts organizations utilizing RPA at a favorable position and pushes different organizations to adapt the innovation to compete adequately are
Employees today utilize a huge number of tools compared to the past. It isn’t doable to automate every one of those tools and their interactions with basic macros.
Advances in computer vision empowered automation in each company setting, including remote desktops.
RPA programming is simpler to learn than most programming languages as it is the most significant level programming language RPA is an extremely high level programming language as the majority of its instructions will, in general, be tied in with manipulating things on the screen, processing data and passing information to various frameworks. What RPA software tends to do with a line of code would take various lines in most different languages. While the responsibilities of an RPA developer may differ, somebody in this job is normally responsible for planning and overseeing workflow automation projects. You may likewise be liable for testing or bug fixes, so coding skills are significant also. So as to be fruitful in the role of RPA developer, you should be able to explore different suitable technologies, for example, UiPath or Automation Anywhere. In any case, you have to have a degree in computer science to turn into an RPA Developer. Further, you have to have an algorithmic method of comprehension and thinking capability. Additionally, you should know about coding languages and involvement with RPA tools. Additionally, you should set up an all around planned RPA Developer resume, which will give you a head start in your career.RPA Developer Skills
To turn into an RPA Developer, there are a few skills that you have to have. You need to ace the following range of abilities to turn into a successful expert in this field:
Programming abilities in Java, C, C++, or .NET
Knowledge on any database query language like SQL
Involvement with any automation tool like UiPath
Comprehension of AI and ML concepts
RPA Developers help in planning, creating, and implementing RPA systems utilizing tools, for example, Automation Anywhere, Blue Prism, UI Automation, and so forth. They likewise help in setting up and analyzing automated business tasks. Some of the significant roles and responsibilities of RPA experts are as follows:
Planning automation based on the operational requirements of an organization
Utilizing any RPA tool to code and settling issues identified with automation
Checking on the plan and the code of automation
Giving gained expertise during system development and integration
Arranging automation utilizing RPA tools
Documenting the whole cycle of automation
There were two standout demos at last year’s E3. One was obvious, Cyberpunk 2077. The other took me by surprise at the time though. I liked Dying Light, but Dying Light 2 arrived so much more ambitious than I expected, with Techland touting its divergent storytelling paths and evolving world.
Techland says you’ll only be able to see 50 percent of Dying Light 2 in any given playthrough. I’m inclined to believe them.Rage, rage
Our demo started in The Fish Eye, and immediately it’s clear Dying Light 2 is a tonal departure from its predecessor. The original Dying Light was, like so many zombie stories, about people trying to survive in a newly hostile environment—but Dying Light 2 is set 15 years after the infection. The apocalypse and even the post-apocalypse are over. Sure, zombies still infest the city streets, but society has adjusted and even begun rebuilding itself.
The Fish Eye is a bar. A somewhat seedy bar, but a bar nevertheless. People are laughing, celebrating, and safe. Life feels almost normal, were it not for the rundown décor and everyone’s rustic clothing.
Of course, the situation’s more dire than it seems. Arriving at The Fish Eye, our protagonist Aiden Caldwell angrily remarks to de facto leader Frank, “You haven’t told them yet?” to which Frank replies “What, that the water’s about to run out?”
Frank’s hoping to reach a deal with the Renegades, bolstered by support from the city’s other major factions, the Peacekeepers and Scavengers. Jack Matt’s Peacekeepers are armored in blue, a pseudo police force which cropped up in last year’s demo. The Scavengers are a more ragtag band, but handy in a fight.
Frank leaves the Fish Eye to negotiate with a dispatch of Renegades, hoping to solve the water crisis. A shot rings out. Frank is shot, and when we reach ground level we see him bleeding out on the ground, the truck full of Renegades screeching away.
Dying Light 2
It’s a binary choice, either push the analog stick left or right. And it’s a difficult choice as well, the first of many. These are an essential part of Dying Light 2’s branching story, with some resulting in different encounters, others changing the world in more drastic ways.
It probably wouldn’t make for an enthralling demo though. Instead we were led on a merry chase by the fleeing Renegades, sprinting from rooftop to rooftop to try and catch up before it reached The Castle. Along the way we got a taste of Aiden’s new traversal tools, a grappling hook and paraglider. The former seems especially useful, allowing Aiden to both leap across larger streets and swing-kick enemies in combat, provided of course there’s a ceiling overhead.
Techland moved to a new engine for Dying Light 2, which necessitated rewriting all the code for the parkour/natural movement system. Point being, you have more options this time around, and those options flow together a lot smoother. You can use zombies to break your fall, if you follow one off a roof. You can also double-wall-run and wall-jump, and climb objects that are moving or falling apart. It looks like myriad improvements to an already impressive system.
Dying Light 2
After a forced detour through a darkened building—which, if you remember from last year, means it’s infested with zombies—we finally caught up to the truck and leaped inside. At this point we had another choice, leaving the driver alive or killing him. Then another in short order, as the radio crackled to life and asked for an update. There, we could either tell him what to say or tell him not to answer.
“What’s with the butcher thing? All I see is regular people,” Aiden remarked, acknowledging the situation was suspicious. After escaping pursuit and entering The Castle, we even find a woman playing piano. Cannibals indeed.
The Colonel then walked out, protesting his innocence and saying the Peacekeepers arranged Frank’s death to force the Renegades out of their fortress. It seems plausible enough but for the purposes of the demo we decide to follow orders, turning on the pumps and sending water to the rest of the city—and out of The Castle’s moat, which is revealed to be an entire submerged district, now free to explore. Oh, except some sort of special zombie bursts out of the ground, with spikes on its arm.
Dying Light 2
And The Colonel was right, by the way. The Peacekeepers invade the district, presumably killing him. The next time we visit the area, it’ll most likely sport Peacekeeper blue, and come with a lot more rules than before. It’s probably not the path I would’ve chosen.Bottom line
Both are impressive, and both contribute to this idea of Dying Light 2 as living world. Plenty of developers say you’ll have an impact on their game, but few truly deliver. Dying Light 2 is melding story and mechanics in ways I’ve rarely (if ever) seen, and if they can pull it off I hope to see others follow. Open worlds have been static backdrops for almost two console generations. It’s exciting to see someone finally do something with one of these sprawling maps.
Dying Light 2 is scheduled to launch in spring 2023.
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