12 at night comment

They paid u as keyboard warrior

A bit pepper

line： everything I main copy paste . If cannot , tambah a bit salt

Nice

Will drop , will drop . Will up will up. Nobody know la

Leleleel…. Typical keyboard warrior

Ahhhh

Hahahah

Bossku, I guess you no pay salary to line, that’s why he so frustrated

You forgot to include citadel

@bosskufanboy

Hahahah

wow… everyone keyboardist warrior. Line spammer

When a people lost their direction, is common to copy paste

Thanks for promoting me. Yea. one of my favorite counter. Just like you guys, being supportive to the counter.

hahahaha

Ohh... so many ke? All same counter ? Hmmmm....

@Citadel123, company if want to get success, want to go under development period and they are doing great all this while. Why not a better future ?

Common lo, get paid keyboard warrior, need to make sure himself everyday need to comment, nothing to counter, then copy content show that today got work progress .

OR @Line is not a keyboard warrior , he just cannot see and read.

Guys, a very good read for the 5G, IoT, and industry 4.0.

Which industries will implement lights-out manufacturing? New robot installations in 2019 show that the automotive, electronics, and metal and machinery sectors are unsurprisingly leading the way in Industry 4.0 implementation.

The Industry 4.0 Snowball Rollout
As 4.0 technology improves and costs decrease, the implementation of lights-out capabilities is expected to surge.

A global survey of businesses for their 2025 production plans show that 17% are anticipating having completely lights-out manufacturing, while 79% of manufacturing will be human-driven but digitally-augmented to some degree.

And like other industrial revolutions before, the technological rollout quickly creates a snowball effect that speeds its growth:

Demand increases for cyber physical systems and smart machines.
The supply of smart-capable machines with semiconductors increases.
Bigger and more robust networks of machines are assembled.
Improved capabilities further increase demand.
Many industries are capable of benefiting from 5G, IoT, and more robust usage of data and machines in some way. The question of when your sector will see Industry 4.0 is either sooner than you think, or it has already begun.

These technologies are already being rolled out in smart factories around the globe, and the most robust and up-to-date versions are being used to unlock the next evolution: lights-out manufacturing.

What is Lights-Out Manufacturing?
Where traditional factories and even smart factories require some direct human interaction, true lights-out factories operate completely autonomously.

Though it might sound like a dream, lights-out factories are fully automated, 24/7 factories with no on-floor human presence. And they already exist in the modern world.

Japanese robotics designer FANUC has been using robots to build themselves in a lights-out factory for 20 years, and even electronics company Philips uses 128 robots in a lights-out manufacturing line to produce electric razors.

One industry that uses lights-out manufacturing extensively is semiconductor manufacturing. ASE Global, the world’s leading provider of semiconductor manufacturing services in assembly and test, used 18 completely automated factories in 2020 alone.

Unlocking Lights-Out Factories
Different businesses and industries will be able to utilize Industry 4.0 technologies in different capacities, and lights-out manufacturing is no different.

Though incorporating fully autonomous factories can unlock huge potential, there are also significant challenges to first overcome.

Latest job routine... He got nothing to comment and he want shiok sendiri. let him be la.

The networks of 2030

Firstly, extreme performance specialized networks will need to emerge. The most sensitive or data-hungry Industry 4.0 applications will be served by private networks on-premise, engineered for the lowest latency and the highest reliability and flexibility. Smart hospitals would fall into this category, as each patient would need various connected sensors and surgical or diagnostic processes would need extreme computing power.

Secondly, there will be networks of networks. Overlapping terrestrial and non-terrestrial networks will form a patchwork quilt of coverage, providing a new level of extreme reliability, local capacity and ubiquity. Seamless coverage can be achieved by augmenting networks with low-orbit and high-throughput satellites, addressing the 95% of the earth’s surface that is not covered by terrestrial networks today.

Thirdly, networks-as-a-service will allow entire networks to be consumed on a pay-as-you-go basis, similar to Netflix or any other cloud service. Network owners will have the freedom to create their own network without the burden of buying, installing, or maintaining physical infrastructure.

These three forms of network evolution may sound abstract, but by making it easier for businesses, public sector organizations and communities to access turbo-charged connectivity, they will make it far easier for society to become more sustainable and wealth-generative. For example, next-generation connectivity will fully unlock smart public transport networks, precision mining, widespread vertical farming, zero-defect manufacturing, extensive installation and predictive maintenance of bullet trains, solar farms and dynamic energy grids.

The digitalization of societies and industries is not only possible but likely while becoming more feasible as we further understand the value of networks as an enabling technology.

Connectivity is not a silver bullet. The joined-up solutions mentioned at the beginning of this article remain the most important jigsaw piece when addressing global challenges. Connectivity can and should, however, be a key component of those solutions.

The future of connectivity


Human augmentation is about highly immersive experiences and enhanced human-computer interfaces allowing humans to become a part of the internet, not just users of it. We’re increasingly moving away from the two-dimensional screen to devices driven by augmented reality and virtual reality. In the next decade, you will see more and more augmentation of the human body with bio-digital interfaces, exoskeletons and many other innovations.

This technology will greatly impact how we perceive the world around us. We will be able to sense nearby pollution levels and know about safety risks in the workplace. Furthermore, it will allow people with the most serious mobility issues to walk unassisted.

Digital-physical fusion is a separate but related idea that means connecting physical assets with digital versions of themselves, a technology already beginning to emerge. Advanced factories and logistics sites currently run digital twins of their production lines, warehouses and vehicles to increase productivity and lower operating costs. By 2030, the technology will spread, not only to other sectors – making dangerous environments, such as mines, much safer – but across society. You or I could have a digital twin of ourselves; the recent discussion around the “metaverse” gives a pretty good indication of where we may end up.

Of course, both of these emerging technology trends depend on ubiquitous next-generation connectivity. They will require networks to provide more than 100 gigabits per second, extremely low latency and flawless reliability. Because they will be embedded in mission-critical infrastructure and public services, they will also need cast-iron security and privacy.

Despite being more flexible, reliable and high-capacity than ever, today’s networks cannot provide the required level of service for these emerging technologies. As a result, the way networks are built and consumed will need to change significantly in the coming decade. Some requirements will be met naturally, as the technology cycle of telecoms continues to turn and existing products and services are refined. Some needs will call for networks to adapt in three new and specific ways in the coming years.

2 tech trends that will shape networks and the future of connectivity

https://www.weforum.org/agenda/2022/01/connectivity-is-evolving-to-address-the-biggest-global-challenges-here-s-how/

The solutions to the most pressing global challenges lie in emerging technologies and evolving connectivity as we head into the 6G era.
Two significant trends will dominate connectivity in the future: human augmentation and digital-physical fusion.
Networks that use emerging technology must adapt and will do so in three specific ways, encompassing extreme performance, coverage and greater flexibility.
As we set the agenda for the year ahead, 2022 poses serious questions that business and political leaders need to answer without delay. For instance, how do we build a society stronger and healthier than before the pandemic? How do we reverse a global slowdown in productivity growth? And how do we reduce human impact on the planet and limit global warming to 1.5°C above pre-industrial levels?

How we answer these critical questions will determine our response to everything from food security to life expectancy. What’s already clear, however, is that one-off, discrete measures won’t do the job. Today’s challenges need joined-up solutions where governments, regulators, businesses, third sector organizations and communities play a part.


That sort of collaboration isn’t easy. The UN Climate Conference (COP26) in November 2021 showed the scale of the challenge in getting different groups with different priorities to sign up for multilateral agreements. But even at COP26, one thing became clear: whatever the final solution to these most pressing challenges, it will be based on technology, in particular, connectivity, the ultimate enabler already bringing us smart manufacturing, smart energy grids and digital healthcare.

Working in an industry pushing the boundaries of connectivity, I hear how connectivity has already improved business models and public services, like enabling the “smartification” of cities or making offshore wind farms safer and more efficient. Connectivity will only evolve with the 6G era that can help the world reach the demanding targets of the “carbon law” and Paris Agreement to halve emissions every decade. Two significant trends are expected to drive future developments in connectivity: human augmentation and digital-physical fusion.

Now he is the one main copy paste

Morning guys

Everyone is keyboard warrior here. Only Line is a real person that comment at this i3 forum.
Cannot fight - Keyboard warrior.
Others peoples comment - Keyboard warrior
Comment more than LINE - Keyboard warrior
Line himself comment - not keyboard warrior.
Said people being paid, but line himself so active to fight back everyday./???
(LINE, hire me la, I also very active one) can help you comment everyday .

See keyboard warrior ? ???? LINE ???? haahaha

https://techgenix.com/top-6-cloud-computing-trends-for-2022/

TOP 6 CLOUD COMPUTING TRENDS FOR 2022

Cloud computing was popular and well-established pre-pandemic as well but it has taken the spotlight as a move to remote working was thrust upon us. And it looks like it’s here to stay for a long time. Cloud technologies are moving away from a linear evolution to prepare for an exponential evolution. Now, as we look for recovery, the appetite for cloud solutions is still strong and ever growing. This nudges more organizations around the world to move towards a cloud-first strategy and as they do, we can expect to see new cloud computing trends in 2022.

CLOUD COSEC - The next big thing in market

5. Increased connectivity = more digital transformation
5G and the new Wi-Fi 6 standard will enable faster connection – crucial if the world is to embrace these new digital trends. Jerry Paradise, VP of product management for Chinese tech company Lenovo, has said 5G and Wi-Fi 6 are about more than just speed: “Future applications will include smart cities, the internet of things, and vehicle-to-vehicle communications – which would ideally improve traffic flow and safety.”

According to Lenovo, working from home will grow more “hybrid” as consumers and organisations continue to think beyond the office. A large majority of IT executives expect to work outside the office in future, with smaller and smarter devices, as well as cordless and noise-cancelling headphones. Hybrid employees may participate in video meetings and conduct phone calls not just from home, but anywhere.

6. New workplace, new skills
With the workplace set to change, skills will be next. According to the World Economic Forum, in 2022, new occupations will account for 27% of big corporate employee bases, while technologically outmoded positions will decline from 31% to 21%.

The shift in the division of labour between humans, computers and algorithms has the potential to remove 75 million current job openings while generating 133 million new ones. Data analysts, software and application developers, e-commerce specialists and social media specialists will be in high demand.

Many “human” jobs, such as customer service, organisational development and innovation management, are expected to grow. So, far from “taking our jobs”, AI will create jobs and ensure employment across an array of different fields.

Six big digital trends to watch in 2022


https://theconversation.com/six-big-digital-trends-to-watch-in-2022-174144


According to recent McKinsey research, 2021 was a year of transformation: people, corporations and society began to look ahead to influencing their futures rather than just surviving the present.

It was the year that premature hopes for herd immunity, an end to pandemic lockdowns, and a return to normality were dashed – at least for now. But aside from the Great Social Media Resignation, during which burnt-out Gen Z workers quit their jobs on TikTok and Instagram, the rise of non fungible tokens (NFTs), and the introduction of the metaverse, the world’s space-going billionaires were as wealthy and productive in business and technology as ever.

While it’s hard to make accurate predictions in the unpredictable environment we’ve been experiencing over the last two years, the year ahead will bring many surprises. Here are six digital trends that will influence life in 2022.

1. Social media: more privacy, quality and algorithm tweaks
Platforms will concentrate on privacy and content quality in feeds. Despite recent public criticism, Facebook is likely to grow members as well as revenues.

With an eye on privacy and content quality, all major social media platforms will likely have updated their privacy policies and tweaked their algorithms by the end of 2022. Due to the demand for strong, engaging content, a new tribe of creative influencers will grow rapidly and make a big impact on branding and engagement.

Thanks to the growing popularity of short-form video content, Instagram and TikTok are likely to witness a rise in ad expenditure in 2022 and Instagram will continue to grow beyond its 50% ad revenue share. Underutilised social media marketing components like customer service and relationship management will soon thrive on these platforms.

2. Enter the metaverse: from 2D to 3D web
Mark Zuckerberg announced a brand name change to “Meta” in October 2021, indicating Facebook’s wish to shape the metaverse transformation. The term refers to the possibilities of virtual and augmented reality. Some call it a virtual shared space accessible through VR headsets, AR glasses or smartphone apps.

Users may interact, socialise, explore and create content in the virtual environment, and monetise their virtual transactions using blockchain technology and cryptocurrency. The metaverse (or 3web) is intrinsically linked to NFTs and cryptocurrencies, which commercialise interactions by creating or selling digital artefacts. In 2022, 3web is expected to be a big commercial issue and is backed by major brands including Nike, Adidas, Gucci, Prada, Puma, Microsoft and others.

3. Acceleration of crypto & NFT growth
The use of non-fungible tokens (NFTs) increased in 2021 and will continue to in 2022. A new value exchange mechanism in the global online economy, NFTs have changed the value and function of all digital assets and artworks.

From a temporary fad to a new economy, NFTs have created what the Harvard Business Review calls “digital deeds”. In the digital realm, NFTs are unique assets that can be bought and sold like any other. Tokenisation is the process of converting a significant piece of data, such as an account number, into a random string of characters known as a token that, if compromised, has no meaningful value. These digital tokens may be used to buy physical things such as real-life paintings, or virtual assets like digital art, in-app purchases and even virtual properties.

The Frankfurt School Blockchain Centre predicts a US$1.5 trillion (£1.1 trillion) market for tokenised assets in Europe over the next three years. Real estate, debt, bonds, shares, copyrights, real art, virtual art and collectibles are all examples of assets that may be tokenised.

This is undoubtedly a huge step towards achieving one of cryptocurrency’s main promises of financial inclusivity. Investing in alternative or traditional assets is sometimes beyond reach or too expensive. Crowdfunding and Fintech – financial technology used to deliver automated and improved financial services – will allow investors of all sizes to engage in a wide range of assets.

4. AI growth in food and HR services
AI could well change the way we conceptualise, create and enjoy food or look for a job. Michael Spranger, COO of Sony’s artificial intelligence team, explains that labour shortages have led many organisations to use AI to broaden the way they evaluate and assess job applicants. He also notes that some of the most exciting applications of AI in gastronomy will enhance the imagination and creativity of chefs and culinary experts beyond what is possible today. And robots like Flippy are already flipping burgers at McDonalds and other restaurants.

More IoT Stakeholders Will Adopt AI/ML

According to Omdia, the convergence of AI and edge computing is set to drive IoT’s impact and value proposition. Edge capabilities on devices out in the field offer reduced latency, power consumption and costs linked to ferrying data to the cloud. That paves the way for more complex data types to be analyzed. Omdia highlights three main bands for deploying AI and machine learning at the edge.

First, ambient AI algorithms extract IoT sensor data without using audio or video as reference points. Due to reduced latency at the edge, these algorithms can seek granular judgments from noisy data avalanches that would otherwise stagnate in storage.

Meanwhile, low-cost computer vision and natural language processing will bring video and audio IoT capabilities to more enterprises, helping detect wake words or sounds of distress in lone worker scenarios, for instance, or identifying broken goods before they leave the factory floor.

5G to Make Headway

According to Gartner, 5G is predominantly employed for consumer use cases at present, but that’s set to change over the next two years. This is because it strengthens key IoT operations like cameras and asset sensors, by making them more reliable. The U.S. is also one of a handful of countries developing 5G on mmWave frequencies though connections are sparse at present. The approach is set to strengthen 5G connectivity for massive machine-type communications where data production, exchange and implementation is handled by vast IoT fleets, with minimal human involvement. But mmWave 5G’s benefits will take a while to actuate, according to Gartner, which predicts it won’t reach maturity until 2025.

Enterprises Seek to Eliminate Latency From IoT Networks

The trends above will be especially beneficial for enterprises looking to implement real-time applications. In use cases ranging from live predictive maintenance to venue management and safety, the value of IoT extends by reducing limitations associated with cloud data relays.

Almost three in 10 (29%) of enterprise decision-makers cite the need for low-latency networks to support real-time applications as one of their three biggest concerns, according to an ESG Global survey. Moreover, the acceleration of edge computing technologies and next-generation connectivity means enterprises that nail implementation will possess more disruptive potential. Gartner recommends product leaders responsible for IoT should accelerate the adoption of edge and AI-enabled solutions, with a view of creating a long-term technology roadmap.

Hands-Free, Secure Edge Protocols to Turbocharge Medical Things and the Smart Home

Medical technology retailers can expect hands-free IoT product offerings that use edge computing and advanced sensor techniques like radar to monitor chronic health issues. According to Blake Kozak, Omdia senior principal analyst for the smart home, some of these applications could be controversial due to privacy concerns related to handling sensitive medical data.

Processing more information at the edge could help circumvent this, as long as device makers design the endpoint’s protocols to be watertight.

Away from medical devices, hands-free operation is set to enhance a whole range of smart home technologies as vendors look to actuate “more holistic” use cases, Kozak said. At CES 2022, key highlights included a self-filling bathtub from Kohler and a hands-free microwave cooker from Panasonic.

“The smart home right now is like the inverse of the iceberg analogy, there’s a lot above the surface with not much happening below the waterline,” Kozak told IoT World Today, “CES 2022 provided a glimpse of what is happening below the surface, meaning some brands are looking to go beyond hardware and focus on the additional value that can come from smart home devices.”

Consumer to Embrace Smart Security Devices

Another big trend in the smart home is the prevalence of security devices like video doorbells and smart camera systems. Kozak says CES was chock-full of such product briefings this year, with examples including Belkin’s Secure Video doorbell and Eve’s outdoor camera with integrated floodlights.

“There were even a few surprises like Eufy’s video doorbell that has two separate cameras and a door lock with facial recognition from U-tec Group,” Kozak said.

Interoperability at Home and in the Office

A wild card in the pack is the Matter interoperability standard for smart home devices slated to launch later this year. Following Matter’s launch, consumers will no longer need to figure out whether a certain lightbulb and sensor play nicely together as it will link up many devices in the ecosystem automatically. It’s easy to see the potential for smart office environments that may use some of the same technologies.

Intelligent connectivity proliferated in 2021 as COVID-19 throttled traditional working environments and demanded enterprises find new ways to maintain productivity.

Now, with around 60% expressing increased confidence in IoT’s ability to generate business insights according to Omdia, there’s enough runway for next-generation IoT applications and sensor-driven analytics.

Many of the drivers behind this change existed last year. Artificial intelligence models like TinyML were already in ascendancy. Edge computing architectures can effortlessly sync up factory, retail and venue IoT networks to the cloud, while connectivity protocols ranging from 5G to LoRAWAN and NB-IoT give enterprises a full range of options.

But products take time to deliver and implement. Some impressive IoT last year came from big companies trying out new things. The private 5G nodes deployed for smart driver notifications and connected safety in underground mines were notable examples.

As we enter 2022 more of these concepts will expand.

On the supply side, the efforts of hyperscale clouds such as Amazon Web Services and Azure will reduce the cost of implementing edge-driven IoT, tempting more enterprises to make upgrades.

“As AI and edge technologies along with 5G converge in IoT in 2022 and beyond, cloud service providers and enterprises cannot ignore the role of the hyperscaler [clouds such as Amazon Web Services and Azure],” John Canali, IoT senior analyst at Omdia. told IoT World Today: “While the hyperscalers are important partners especially around cloud and edge computing, they are also competing against CSPs with their own connectivity solutions and services and against enterprises with vertically positioned products.”

That paves the way for IoT’s full impact to surface enhancing decision-making across entire workforces. No longer restricted to C-suite, technicians and managers, the power of IoT insights will extend right down into the front line of industry, city services, medicine, environmental protection and more.

https://www.iotworldtoday.com/2022/01/10/the-future-of-iot-top-trends-we-expect-to-see-in-2022/

Indiatechlogy..... nammo namo........

Here we go with linelogic... Namo namomaaaaaa.....

Aimflex macam nothing special aldi ? Or anyone having latest news ?

hope that the rock hit bottom prices , not hitting investor leg

Lol, macam x solid ? performance macam so so also

It seems that getting more and more exposure now . hmmm. Macam can consider

Wow.....Huge lose, you sure or not ? If come different. What you going to twist again ? New story again. Last time you also keep mentioned india tech, what youtube video somemore... Funny....

Line.... u r still young. ???????
hahahahahahaaahahahahahahahaha

Close green complain, Price sustain complaint. close market complain.
Even announcement also complain. Guess you are the one talk more irrelevant thing.
What india tech. This tech that tech.

line
you lah being paid... day day comment bukan bukan,, talk la something relevant. lol

Future outlook beyond 5G
When new technologies like 5G come into place, we think about potential use cases and how the world is going to evolve and adapt and take advantage of that. The exciting part is yet to come - there are so many use cases that have yet to transpire. People are creative and find new ways to do things, taking advantage of what is there either bandwidth and connectivity.

Connectivity in the IoT space today has millions of data points - something that was not possible a short while ago. Recently while watching the US Open Tennis Championships on TV, the channel showed how many datapoints that were being captured on each tennis player as they played. How coaches and players use all of that data to improve their game is astonishing. Capture the data, connect it all, and figure out how to improve efficiencies.

If you were to sit down with me and ask about potential use cases for 5G, a couple of years ago, I would have never thought it would help improve the performance of professional tennis players. People are taking advantage of the technology to fulfill their particular needs.

Building on top of these 5G trends, I do not believe that 6G will bring something brand new as it has not yet been projected to significantly transform connectivity. Yes, there will be some new frequency bands up into the terahertz range that will provide much larger bandwidths, but it will be building more on machine learning, AI and taking that capability to process that much more data. With faster bandwidths, we can build on that capability to do even more and you keep expanding it.

In transitioning 5G and then eventually 6G, does it also give networks improved security? Does it become more secure as we go to higher frequencies, or is security just a separate issue altogether? For me, it is a separate issue altogether. There are no inherent security improvements in the TeraHertz band, as opposed to the MegaHertz band. I believe it is more about the ability to have those slices, where portions of the network are used for very critical tasks.

However, when networking technologies head on up to the terahertz range, we will need new materials to create the appropriate filter technologies and products that can handle the bandwidths necessary in those frequency bands. As we add more AI and ML, we’re adding multiple processor units - whether it is a GPU or more ASICs, and decentralized (at-the-edge) processors - there is that much more power needed for each function, so the ability to do it efficiently becomes even more critical.

Cost and security concerns
5G devices indeed require additional hardware with a higher price tag than 4G devices, but these costs will eventually fall as production ramps up.

In the past, data was held on the desktop and it had one server and an enterprise environment. When everything went into the cloud, there was constant back and forth communication through the core network. IoT devices often lack solid security design, and there is an inherent risk in creating new, connected 5G networks that could expose sensitive or mission-critical information. Taking a layered approach (network slicing/compute-at-the-edge) to security covers these gaps. Indeed, end-to-end security will be critical in protecting communication paths between devices, users and the core network.

A good example is if we have information that is deemed business-critical. With 5G, we can have mobile edge computing. By having the computing power local at the edge to the network slice, we can do all of the critical nature of whatever the task may be - whether video, driving machinery virtually - and set up protocols that decide what goes out into the network or remain in the slice. In essence, we can control what is exposed to any potential security risk.

Network slicing can also be applied in transportation; we hear so much about log jams at incoming ports, for instance. Having the ability to do more and more of that efficiently with virtual enterprise network slices will drive that whole function a lot more efficiently.

The ability to continually improve efficiencies in power conversion leads to a lot of materials development, as well as new product and module developments. Digital transformation and energy transformation are the main two drivers for material development and technology innovation. It is very important to understand both of those.

Faster response times
When used in combination with artificial intelligence (AI), machine learning (ML), virtual reality (VR) and augmented reality (AR), new use cases are possible. 5G’s ultra-low latency, for instance, makes the once laggy AI/VR experience, which can be very disorienting for users, almost real-time.

A shining example is for people studying pre-med to become a doctor. Here, one of the core competencies is cadaver studies. This training is now made possible virtually through the use of a VR headset. Add to this haptic response and Time of Flight (ToF) sensors, and the experience is virtually real.