Smart Kiwi

smartkiwi

What is SmartCity? At the end of the 21st century, Bob and Lucy live in a city fully controlled by artificial intelligence (AI). They get access to city services based on their digital identities. Most industries are robotized as well as everyday human life. The highest social status is gained by the citizens who research new technologies design or update the existing ones. People with a lower social status serve the needs of robots where they fail to serve themselves. And in the worst case, you need to compete for a job with robots in industries which are fully or partially automated. The original idea behind AI has never been implemented. And moreover — it has been proven that the term “artificial” became obsolete itself. Do you think Lucy and Bob look too futuristic? Well, google for some real-life . Or watch the to get an idea. SmartCity use cases Elysium movie In short, a SmartCity — is a combination of several technologies that automate many aspects of everyday life and work in a city. How is infrastructure controlled? To automate a process in a city, one needs to produce a lot of devices, cars, sensors, analytical and automation tools to integrate them into the city infrastructure. Then the whole private sector of the economy needs integrating into a system which is as unified as possible. And we have not yet mentioned the integration into the country’s economy, government, military, and global institutions. Moreover, we don’t even mention integrating cities into clusters which communicate with each other. Once the city processes are automated, we get a huge data volume coming from various devices and tools. And this data needs processing. But we won’t dive deep into the ways how this data can be processed. Instead, we’d like to discuss how this data can be stored for processing. We need a database to store the data coming from various parts of a SmartCity. Can we use a usual database for that? Let’s try to use the one, developed by the top database manufacturer and considered to suit enterprise-level needs. No wonder, a common solution won’t work because it is not decentralized enough to store considerable data volume in local shards and does not provide anti-counterfeiting data tools. Maybe NoSQL database? Will not work either. By the way, you may have probably noticed that the . NoSQL trend hasn’t been growing for several years A SmartCity has specific requirements for a database due to the nature of the phenomenon: . Because various SmartCity parts are spread all over the city and cannot rely on a single point of failure while processing data and making decisions. For example, you cannot let the emergency fire sensor wait until a central authority allows starting a water flow to stop the fire. Decentralized . The part of the system should be able to work independently, not relying on other components or relying only on minimum required elements. Fault-tolerant . This is quite obvious. Just the ability to keep and process the whole bunch of data coming from all the SmartCity parts. BigData . What if a citizen takes control over a city sensor and produces a bunch of false data which AI will use to make decisions on how to control some part of the city? Especially if the counterfeit happened before. Counterfeit protection This is probably why a software giant such as IBM works on producing the next generation of databases. Like . Such databases are neither called “relational”, nor “NoSQL”. They are called “distributed ledgers”. Also please note, that a distributed ledger does not necessarily require block-chain although most often they have one. HyperLedger Fabric Blockchain as a SmartCity software design pattern So, we know which databases are good enough for a SmartCity. But what is Blockchain and why do we need one for smart cities? Let’s go back to what we consider the history of the earliest Blockchain-related publications: “One way to establish the identity of the nodes of the DHT is to use public key cryptography.” © (Distributed k-ary System: Algorithms for Distributed Hash Tables. ALI GHODSI). is the Distributed Hash Table. Distributed Hash Tables are a bit older than Blockchain but describe the same concept. If we combine distributed hash tables with public key cryptography — we get the modern idea of Blockchain. DHT PS: Great thanks to “The General” for insights on this idea above. Also, while looking for Satoshi Nakamoto remember to read all the research articles related to distributed hash tables. Therefore we got an answer to “What Blockchain is?”. But how is this related to smart cities? A distributed ledger (the database for a smart city component) needs a way to constrain data counterfeiting. Data should be stored with a timestamp, cryptographically secure — with no ability to publish false data or modify the existing data with no track of this modification. This is like a relational database integrity constraint (primary or foreign key) but serving to another purpose — to constrain data counterfeiting. So, Blockchain is just another kind of a database constraint which prevents counterfeit. And nothing more. Even Blockchain isn’t related to decentralization in any way since decentralization is another data property which can easily exist without Blockchain. What’s next? More and more database engines will support Blockchain. More databases will be created to cover SmartCity needs. Blockchain will stop being a separate hype while becoming just an integrity constraint supported by specialized database engines. And sure thing, someone may just as well come up with another technology for counterfeit prevention which isn’t related to Blockchain in any way. Why Zfort Group? We’ve been successfully doing software development for two years now.And now we do SmartCities. Blockchain SmartCities put people first, just as we do at Zfort Group. In the future, cities will be much more than concrete buildings and dusty parks. The Internet of Things is the technology to satisfy the advanced needs of modern citizens, and our expert team is ready to help both private and public companies build awesome products people will truly love. : Originally published at https://www.zfort.com/blog/enterprise-blockchain-smartcities

Enterprise Blockchain for SmartCities

Securing Our Inclusive Future in the Web3 Era A few decades ago, women in the United States couldn’t open their bank accounts without a male cosigner until 1974. It wasn’t until 1993 that all fifty states finally recognized spousal rape as a crime. These milestones, so recent in our collective memory, seem almost unimaginable today. We now take the rights our predecessors fought so hard to secure for granted. We now stand at the forefront of the digital revolution, but learning from the past, we intend to ensure our future is inclusive. Our current identity is tethered to a fragile plastic card and an easily compromised database that hasn’t been updated since the 1970s. Our current identity is tethered to a fragile plastic card and an easily compromised database that hasn’t been updated since the 1970s. We have finally reached the technological innovation where the dream is to ensure that every man, woman, and child has inalienable rights based on their humanity, not simply what each government determines is allowable. With the chaos only escalating worldwide, it’s time to stop waiting to be saved and save ourselves. And we finally have the tools to kick off this new emancipation proclamation. Picture a future where your humanity is preserved, undiminished by the bureaucracy of expired licenses or the prying eyes of intrusive systems. This is the vision I had back in 2017 when I created the SmartIID digital identity solution for my dating app, Loly. It was a simple yet revolutionary idea: ensure that users interacted with real people, owning their words and actions without oversharing personal details. Just because you walk into a bar doesn’t mean the bouncer needs to know where you live or how much you weigh; they only need to know that you’re of age. Fast forward to today, and I am thrilled to see titans of blockchain coming together to solve identity, with Humanity.org scaling this concept to new heights and achieving unicorn status. They’ve taken one foundational concept, the validity of a human, and transformed it into a globally scalable product, recently achieving unicorn status. Now, it’s really happening – a decentralized system that ensures your humanity does not expire. With Humanity.org, we’re seeing the dawn of a new era where identity is sovereign and privacy is paramount. But identity is just one piece of the puzzle. As we venture further into the realm of Web3, the risks loom large, especially for those unfamiliar with its intricacies. Enter FoolProof Labs, the guardians of digital wallets. Think of them as the McAfee of Web3, providing a robust security net for your assets. Their tools are designed to protect even the most inexperienced users from scams and pitfalls. Picture this: you’re at a bar, entering an exclusive HUG party with your NFT, but instead of risking your prized digital asset, you use a FoolProof token. Emily Herrick, co-founder of FoolProof Labs, perfectly captures the relief we all seek: “No longer do I need to worry about my password being compromised from some huge breach of a service that I’ve used SSO (single sign-on) with, and spend hours changing all of my passwords, or just praying nothing happens to my accounts.” Your assets are safe, whether online or in person, so let the party begin. Sauntering into the event, you mosey up to the bar and realize you only have $BOBBY tokens… Enter Glue – the unsung hero of interoperability. This cross-chain compatible protocol is the glue (pun intended) that binds the fragmented world of decentralized finance. No more figuring out how to bridge from one blockchain to another. Glue makes it effortless, allowing even newcomers to build Web3 dApps that address the world’s most pressing issues without needing permission from gatekeepers. Now, you are easily able to swap your tokens for drinks. And as more consumer-friendly dApps work their way into the mainstream, we as an industry need to address the many elephants in the room. “In light of the challenges faced by exchanges like Celsius and FTX, we recognized the need for a platform that provides the ease of use of a centralized exchange while ensuring users maintain control and security over their funds,” said Ogle, co-founder of Glue. The Glue Hub, which launched on June 19th, changes the game by ensuring that all transactions are conducted on the blockchain. This way, your funds are securely stored in your wallet, not held by Glue. It’s about control, security, and making informed choices in the dynamic world of crypto. With The Glue Hub, your investments are truly yours, safeguarded from the risks associated with centralized exchanges. Now, let’s consider the broader implications. With millions of migrants and refugees around the world, identity verification is more than just a convenience – it’s a necessity as well as a major security concern. Terence Kwok, founder of Humanity Protocol, echoes this sentiment: “The world needs a truly self-sovereign identity framework built on first principles of inclusivity, privacy, and decentralization.” Solving identity helps those in dire need and ensures everyone can participate in commerce. And with all innovation comes the inevitable rise of scammers, growing ever more sophisticated. That’s where FoolProof Labs’ security measures become indispensable, providing protection to foster a safe and inclusive digital environment. The future of Web3 is not just about technology; it’s about crafting a digital world where everyone has a place, a voice, and security. It’s about creating solutions without needing to ask for permission, empowering individuals and communities. This is the Web3 future we should all strive for – one that is accessible, secure, and interconnected, driven by innovation and a commitment to humanity. Would you like to take a stab at answering some of these questions? The link for the template is HERE. Interested in reading the content from all of our writing prompts? Click HERE. Securing Our Inclusive Future in the Web3 Era A few decades ago, women in the United States couldn’t open their bank accounts without a male cosigner until 1974. It wasn’t until 1993 that all fifty states finally recognized spousal rape as a crime. These milestones, so recent in our collective memory, seem almost unimaginable today. We now take the rights our predecessors fought so hard to secure for granted. We now stand at the forefront of the digital revolution, but learning from the past, we intend to ensure our future is inclusive. Our current identity is tethered to a fragile plastic card and an easily compromised database that hasn’t been updated since the 1970s. Our current identity is tethered to a fragile plastic card and an easily compromised database that hasn’t been updated since the 1970s. Our current identity is tethered to a fragile plastic card and an easily compromised database that hasn’t been updated since the 1970s. We have finally reached the technological innovation where the dream is to ensure that every man, woman, and child has inalienable rights based on their humanity, not simply what each government determines is allowable. With the chaos only escalating worldwide, it’s time to stop waiting to be saved and save ourselves. And we finally have the tools to kick off this new emancipation proclamation. Picture a future where your humanity is preserved, undiminished by the bureaucracy of expired licenses or the prying eyes of intrusive systems . This is the vision I had back in 2017 when I created the SmartIID digital identity solution for my dating app, Loly . It was a simple yet revolutionary idea: ensure that users interacted with real people, owning their words and actions without oversharing personal details. intrusive systems digital identity Loly Just because you walk into a bar doesn’t mean the bouncer needs to know where you live or how much you weigh; they only need to know that you’re of age. Fast forward to today, and I am thrilled to see titans of blockchain coming together to solve identity, with Humanity.org scaling this concept to new heights and achieving unicorn status. They’ve taken one foundational concept, the validity of a human, and transformed it into a globally scalable product, recently achieving unicorn status. Now, it’s really happening – a decentralized system that ensures your humanity does not expire. With Humanity.org, we’re seeing the dawn of a new era where identity is sovereign and privacy is paramount. Humanity.org But identity is just one piece of the puzzle. As we venture further into the realm of Web3, the risks loom large, especially for those unfamiliar with its intricacies. Enter FoolProof Labs , the guardians of digital wallets. Think of them as the McAfee of Web3, providing a robust security net for your assets. Their tools are designed to protect even the most inexperienced users from scams and pitfalls. FoolProof Labs Picture this: you’re at a bar, entering an exclusive HUG party with your NFT, but instead of risking your prized digital asset, you use a FoolProof token. Emily Herrick, co-founder of FoolProof Labs, perfectly captures the relief we all seek: “No longer do I need to worry about my password being compromised from some huge breach of a service that I’ve used SSO (single sign-on) with, and spend hours changing all of my passwords, or just praying nothing happens to my accounts.” Your assets are safe, whether online or in person, so let the party begin. HUG Sauntering into the event, you mosey up to the bar and realize you only have $BOBBY tokens… Enter Glue – the unsung hero of interoperability. This cross-chain compatible protocol is the glue (pun intended) that binds the fragmented world of decentralized finance. No more figuring out how to bridge from one blockchain to another. Glue makes it effortless, allowing even newcomers to build Web3 dApps that address the world’s most pressing issues without needing permission from gatekeepers. Now, you are easily able to swap your tokens for drinks. And as more consumer-friendly dApps work their way into the mainstream, we as an industry need to address the many elephants in the room. “In light of the challenges faced by exchanges like Celsius and FTX, we recognized the need for a platform that provides the ease of use of a centralized exchange while ensuring users maintain control and security over their funds,” said Ogle, co-founder of Glue. The Glue Hub , which launched on June 19th, changes the game by ensuring that all transactions are conducted on the blockchain. This way, your funds are securely stored in your wallet, not held by Glue. It’s about control, security, and making informed choices in the dynamic world of crypto. With The Glue Hub, your investments are truly yours, safeguarded from the risks associated with centralized exchanges. The Glue Hub Now, let’s consider the broader implications. With millions of migrants and refugees around the world, identity verification is more than just a convenience – it’s a necessity as well as a major security concern. Terence Kwok, founder of Humanity Protocol, echoes this sentiment: “The world needs a truly self-sovereign identity framework built on first principles of inclusivity, privacy, and decentralization.” Solving identity helps those in dire need and ensures everyone can participate in commerce. And with all innovation comes the inevitable rise of scammers, growing ever more sophisticated. That’s where FoolProof Labs’ security measures become indispensable, providing protection to foster a safe and inclusive digital environment. The future of Web3 is not just about technology; it’s about crafting a digital world where everyone has a place, a voice, and security. It’s about creating solutions without needing to ask for permission, empowering individuals and communities. This is the Web3 future we should all strive for – one that is accessible, secure, and interconnected, driven by innovation and a commitment to humanity. Would you like to take a stab at answering some of these questions? The link for the template is HERE. Interested in reading the content from all of our writing prompts? Click HERE. Would you like to take a stab at answering some of these questions? The link for the template is HERE . Interested in reading the content from all of our writing prompts? Click HERE . HERE HERE HERE HERE

Owning Our Identity: Solving 3 Critical Issues to Driving Mainstream Consumer Adoption of Blockchain

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Nowadays, Jetpack Compose gains an adoption and it definitely deserves it. It is a real paradigm shift in UI development. So much creating lists boilerplate was eliminated there. And it’s beautiful. Android I believe that many projects are still using the View framework and therefore using RecyclerView for having lists. There are a few reasons for it, as I see: Some in-house proprietary solutions around RecyclerView doesn’t match with Compose easily, so migration costs are high Developers are not familiar enough with Compose yet There is no confidence about performance of Compose (yet) But anyway, Compose is the future and this is why I’m using the word “vintage” in a title. Vintage means old but gold. This article is the result of a compilation of my experience with RecyclerView, and for those who are still on track with it, I’ll tell about my vision to building a framework around RecyclerView. Requirements The framework should provide a sane level of scalability. So the main scenarios should be handled with a minimum amount of boilerplate, but it shouldn’t get in the way if the user wants to create something custom. I would define the base set of scenarios during work with RecyclerView as next: Effective update of data. It is known best practice during working with RecyclerView is using API for updating a data in list. We are not going to re-invent a wheel here, so we’ll focus on leveraging and also will try to reduce a ceremony for its implementation. DiffUtil DiffUtil Defining heterogeneous lists. It is natural to have several types of views in a list. Screens of mobile devices are constrained by height and different devices has different screen sizes. So even your content is fitting to screen at one device without scrolling, it could require to be scrolled at another device. That’s why it can be a good idea to develop some screens on the top of RecyclerView. Decorating list items Decorations are a very common case for lists. And although you can have decorations merged to items layouts, what is can look straightforward, it’s not very flexible: same items types can require different decorations at different screens or even different decorations depending on item position in a list. Foundation options The first option is to make everything from scratch. It’s giving full control over implementation, but we can always do it. There are a bunch of third party open-source frameworks that allowing to work with RecyclerView with less boilerplate. I’m not going to enumerate all, but want to show two of them with completely opposite approaches: Epoxy Solution from AirBnb for creating complex screens with RecyclerView. It is adding a bunch of new APIs and even a code generation to reduce a boilerplate as much as possible. But I can't get rid of the feeling that resulting code is looking foreign. Also, an annotation processing adding another layer of complexity. AdapterDelegates Tiny library, that actually provides a concise bunch of functions and interfaces that only suggest you a way to split your heterogeneous list to set of delegated adapters. In fact, you can create such own solution in relatively short time. I like small native solutions that simple enough to keep all the behavior at fingertips and that doesn’t hide under carpet all the implementation details. That’s why I believe that AdapterDelagates and its principles are a good candidate for the foundation of our framework. List items The very basic thing for the beginning is a common declaration of list items. List items in the real world are very different, but the only thing we are confident in – we should be able to compare it. I suggest to referring to API of DiffUtil.ItemCallback interface ListItem {

 fun isItemTheSame(other: ListItem): Boolean

 fun isContentTheSame(other: ListItem): Boolean {
   return this == other
 }
} It is a minimalistic (and therefore solid, IMO) declaration of a list item in the framework. Semantic of methods is intended to be the same as a DiffUtil using: checks identity of and isItemTheSame other this checks the data in and isContentTheSame other this The most common way to provide a stable and unique identity is using identifiers that came from the server. So let’s have an abstract implementation to reduce a bit of possible boilerplate: abstract class DefaultListItem : ListItem {

 abstract val id: String

 override fun isItemTheSame(other: ListItem): Boolean = when {
   other !is DefaultListItem -> false
   this::class != other::class -> false
   else -> this.id == other.id
 }
} in the vast majority of cases will be quite simple (an equality check), if implementations of ListItem will be a . isContentTheSame data class Keeping separate is still reasonable in cases when you have items in your list that are not projection of server data and haven't any sane identity. For example, if you have a footer and header as items in a list, or you have a single item of some type: ListItem data class HeaderItem(val title: String) : ListItem {

 override fun isItemTheSame(other: ListItem): Boolean = other is HeaderItem
} Suggested approach allows us to have a very natural and single callback implementation: DiffUtil object DefaultDiffUtil : DiffUtil.ItemCallback<ListItem>() {

 override fun areItemsTheSame(oldItem: ListItem, newItem: ListItem): Boolean = 
    oldItem.isItemTheSame(newItem)

 override fun areContentsTheSame(oldItem: ListItem, newItem: ListItem): Boolean = 
    oldItem.isContentTheSame(newItem)
} And the final step here is a declaration of default adapter that extends from AdapterDelegates: AsyncListDifferDelegationAdapter class CompositeListAdapter :
AsyncListDifferDelegationAdapter<ListItem>(DefaultDiffUtil) Heterogeneous lists AdapterDelegates library provides a handy way to declare delegates for a particular view type. Only thing we can improve is reduce a boilerplate a bit: inline fun <reified I : ListItem, V : ViewBinding> defaultAdapterDelegate(
 noinline viewBinding: (layoutInflater: LayoutInflater, parent: ViewGroup) -> V,
 noinline block: AdapterDelegateViewBindingViewHolder<I, V>.() -> Unit
) = adapterDelegateViewBinding<I, ListItem, V>(viewBinding = viewBinding, block = block) For showcase purposes, let’s consider an example how would declaration of some , containing one text field could look like: TitleListItem data class TitleListItem(
 override val id: String,
 val title: String,
) : DefaultListItem() and delegate for it fun titleItemDelegate(onClick: ((String) -> Unit)) = 
  defaultAdapterDelegate<
    TitleListItem,
    TitleListItemBinding
  >(viewBinding = { inflater, root -> TitleListItemBinding.inflate(inflater,root,false) }) {
    itemView.setOnClickListener { it(item.id) } 
    bind {
      binding.root.text = item.title
    }
  }
} Decorated lists Originally, because of the API of , setting decorations are made separately from setting data to list. If you have some logic for decorations like: , or than creating decoration becomes a pain. RecyclerView all items should have offset at the bottom except the last one all items should have a divider at the bottom, but headers should have an offset at bottom Often teams coming with “god” decorator that can be configured: class SmartDividerItemDecorator(
 val context: Context,
 val skipDividerFor: Set<Int> = emptySet(),
 val showDividerAfterLastItem: Boolean = false,
 val showDividerBeforeFirstItem: Boolean = false,
 val dividerClipToPadding: Boolean = true,
 val dividerPaddingLeft: Int = 0,
 val dividerPaddingRight: Int = 0
) : ItemDecoration() You can only imagine implementation details and how fragile and not scalable it is. We can use an old proven approach with mimicry to some API and delegating an implementation. RecyclerView So I’m starting with a data: interface Decoration Interface marker for decorations, that will be presented in the future. interface HasDecorations {
 var decorations: List<Decoration>
} This interface should be implemented by our data items to declare that this particular item wants to be decorated with a given list of decorations. Decorations are in sake of simplicity to change it in runtime, if needed. var Very often an item has a single decoration, so to reduce boilerplate with wrapping a single item to we can do such maneuver: listOf() interface HasDecoration : HasDecorations {
 var decoration: Decoration

 override var decorations: List<Decoration>
   get() = listOf(decoration)
   set(value) {
     decoration = when {
       value.isEmpty() -> None
       value.size == 1 -> value.first()
       else -> throw IllegalArgumentException("Applying few decorations to HasDecoration instance is prohibited. Use HasDecorations")
     }
   }
} Next stage is mimic to API: ItemDecoration interface DecorationDrawer<T : Decoration> {

 fun getItemOffsets(
   outRect: Rect,
   view: View,
   parent: RecyclerView,
   state: RecyclerView.State,
   decoration: T
 )

 fun onDraw(
   c: Canvas,
   view: View,
   parent: RecyclerView,
   state: RecyclerView.State,
   decoration: T
 )
} As you can see, it completely repeats with a single difference – now it’s aware of the decoration type and instance is coming. ItemDecoration Possible implementations for is a topic of the second article, now let’s focus only on interface and how it should be handled to presenting decorations. DecorationDrawer class CompositeItemDecoration(
 private val context: Context
) : RecyclerView.ItemDecoration() {

 private val drawers = mutableMapOf<Class<Decoration>, DecorationDrawer<Decoration>>() // [1]

 private fun applyDecorationToView(parent: RecyclerView, view: View, applyDecoration: (Decoration) -> Unit) {

   val position = getAdapterPositionForView(parent, view) // [2]

   when { // [3]
     position == RecyclerView.NO_POSITION -> return
     adapter.items[position] is HasDecorations -> {
       val decoration = (adapter.items[position] as HasDecorations).decorations
       decoration.forEach(applyDecoration)
     }

     else -> return
   }
 }

 override fun getItemOffsets(
   outRect: Rect,
   view: View,
   parent: RecyclerView,
   state: RecyclerView.State
 ) {
   applyDecorationToView(parent, view) { decoration ->
     val drawer = getDrawerFor(decoration)
     drawer.getItemOffsets(outRect, view, parent, state, decoration)
   }
 }

 override fun onDraw(c: Canvas, parent: RecyclerView, state: RecyclerView.State) {
   parent.forEach { child ->
     applyDecorationToView(parent, child) { decoration ->
       val drawer = getDrawerFor(decoration)
       drawer.onDraw(c, child, parent, state, decoration)
     }
   }
 }

 private fun getDrawerFor(decoration: Decoration): DecorationDrawer<Decoration> {
 // [4]
}


 private fun getAdapterPositionForView(parent: RecyclerView, view: View): Int {
   var position = parent.getChildAdapterPosition(view)
   if (position == RecyclerView.NO_POSITION) {
     val oldPosition = parent.getChildViewHolder(view).oldPosition
     if (oldPosition in 0 until (parent.adapter?.itemCount ?: 0)) {
       position = oldPosition
     }
   }
   return position
 }
} Cache for created drawers is not something specific to decoration applying, it’s just a method for correctly resolving adapter position for given view getAdapterPositionForView() Iterating through decorations of instance HasDecorations This piece is a topic for second article “Decorations à la carte” Conclusion This article discovered an approach to build a list framework around . Delegation used as a base principle for wrapping list items and list decorations. RecyclerView I believe that the main advantages of the suggested solution is: Nativeness. Implementation is not depending on third party libraries, that can reduce flexibility in the future. AdapterDelegates was chosen to consider exactly these criteria – it’s very simple and natural and all the behavior at your fingertips. Scalability. Thanks to delegation and separation of concerns principle, we are able to decouple implementations of items delegates or decorations drawers. It’s easy to integrate incrementally to an existing project In the second part, we’ll discuss all types of list decorations that we probably expect to see in an Android application.

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Let's learn about via these 26 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Enterprise /Learn Repo 1. A Chatbot Is the Solution to Reducing High Customer Service Costs Chatbots have no restraints on how many inquiries they handle at the same time, while a single customer service agent can only handle so many customers at once. 2. A Guide to Picking the Right Facility Maintenance Strategy Choosing the right facility maintenance strategy greatly depends on understanding your organization demands, legal requirements, the software you use and cost. 3. Blueprint of an EFSS Phishing Attack Cybersecurity is a high-stakes game. The effects of a data breach can echo for years, as companies become associated with being poor managers of personal data. In spite of the risks, the benefits of enterprise file sync and sharing (EFSS) services remain clear: enterprise organizations and SMBs alike can use cloud-based solutions to easily synchronize and share documents. 4. What You Really Need to Know About Enterprise DeFi It seems that you can’t open Twitter or switch on the news without being subjected to something DeFi-related. The movement has the momentum of a freight train and has the potential to disrupt the way we do everything, from finances, healthcare, even the way we get our news. The core message of the DeFi movement, which is decentralization of power from historically centralized entities,  is finally moving into the mainstream. 5. What Are The Cybersecurity Risks Associated With Personal Devices? Let's look at some of the most significant risks posed by your personal digital devices, and what we can do to boost your security. 6. Everything Wrong About Deno as a Runtime System for Enterprise Applications Hey there! In this article, I'm sharing my thoughts about Deno as a bad runtime system for enterprise applications. At least for now. 7. 4 Certifications to Help You Become an Enterprise Architect It can be hard to secure an enterprise architect role. Here are some certificates to help you make a good impression. 8. Enterprise Blockchain for SmartCities What is SmartCity? 9. There Are More Risks Associated With SaaS Data Security Than Potential GDPR Fines The growing reliance on SaaS business calls for an improvement in security. On occasions, data security can be of existential importance to organizations. 10. How LTO Network helps Businesses Utilize Blockchain Technology The brainchild of Satoshi Nakamoto, Bitcoin is the face of Blockchain Technology. It was devised as a digital currency as an answer to current financial instruments such as the fiat i.e USD, Euros, and many others. Bitcoin aside, the tech-world has found the underlying technology to be a possible solution to various problems in businesses and legacy systems. 11. Serverless Playbook For Enterprises We discuss quite a bit about going serverless for SMEs and startups, however it’s often those with an already huge infrastructure, such as enterprises, that can find the move and change daunting. We see many companies from the likes of Coca-Cola to Netflix managing it but what does it look like in action? In this article, we share some best practices and insights on the serverless designs that can scale massively and represent enterprise models. For a real life example, you can also check out how Shamrock Trading Corp migrated to serverless from a traditional cluster - psst, they’re also giving away their winning strategy for a smooth transition. 12. Heterogeneous Sharding Empowers Enterprise [An Analysis] Despite starting out in the financial industry, the blockchain industry always believes that blockchain technology can be applicable and useful to almost any field. 13. How IoT And Edge Computing Influence Various Industries From healthcare to lifestyle, everything is being influenced by emerging technologies like IoT and edge computing. Moreover, as data remains the foundation of today’s economy, businesses can use these emerging technologies to offer a more personalized experience to their customers. 14. Double Diamond Discovery Large enterprises have lots of smart people with great ideas.  Some of these people are charming, passionate and convincing.  Some of these people are very good at lobbying for their idea with your boss’s boss.  And some of these people have the patience and persistence of a Zen priest. And then of course we have our users and our customers.  And governments and regulatory bodies ( GDPR). cough 15. Enterprise Mobile Applications: Are they a Trend or a Necessity? Mobile devices have redefined the way we interact with digital technology, and enterprise mobile applications are probably the most interesting example of this shift. While they hold considerable potential for improving business operations, you’ll be right to wonder whether they can really fulfill all the trendy promises seen in the media. Below is a detailed analysis of what these apps can really do and how to harness their potential while avoiding the risks. 16. Without Digital Adoption, Your Enterprise will Struggle It’s clear to everyone that we’re living in a digital age. In a time when people expect to run their lives through their smartphones, competitive enterprises have no choice but to adopt digital tools. 17. 4 ways Enterprises can Streamline their Professional Services using FinancialForce PSA To enhance the probability of success enterprises can enhance their services delivery using FinancialForce PSA which led to having held significant results. 18. Planning Cyber Security Budget Thoroughly: 2021 Edition Budgeting for cybersecurity is a challenging process. Here are some tips, how you can plan your cyber security budget effectively. 19. How to Keep OpenSSL Updated in an Enterprise Environment Outdated systems can leave us vulnerable to bad actors. Zero-day exploits are common with just about every system that exists. If we do not upgrade regularly, we leave ourselves at the mercy of black-hat hackers who regularly take advantage of any out-of-date application they can find. This is equally true with OpenSSL as with anything else. 20. Why I Think Fusion Gets Blockchain Interoperability Right The decentralized industry is abuzz with the phrase “blockchain interoperability.” It is arguably a core faucet of blockchain technology and vital for future success. The phrase describes what blockchain has to achieve before we consider the technology successful in all aspects. 21. Analyzing the Institutional Landscape for Blockchain Solutions Let’s dive deeper and explore some of the projects leading the institutional landscape for crypto solutions and what they are building. 22. How Zero Trust Vendors are Concealing the Truth About This Robust Mechanism? With the increasing cybersecurity risks and breaches in the past couple of years, businesses are now moving with a clear vision to incorporate zero-trust architecture into their platforms. 23. How LTO Network Tackles Existing Problems With Blockchain Technology Today, businesses rely heavily on data. Not to mention, advances in information technologies present a challenge to businesses to constantly be on top of the growth curve. Legacy systems are quickly becoming more inefficient when compared side by side with newer innovations. Furthermore, the exponential speed of change we have today creates more intelligent security threats which can cause a significant amount of money to rectify. Therefore, if your business is getting smarter, why shouldn’t your business processes smarten up as well? Enter LTO Network. 24. A Helpful Guide to Enterprise Mobile App Development Here's a step-by-step guide for enterprise mobile app development. It is a good read for enterprise executives who don't know where to start. 25. Enterprise Chatbot: Do You Really Need It? This Will Help You Decide 26. Enterprise Software Is the Hardest Software To Write There is a perception that enterprise software is easy. The thought process goes something like: “How can adding up numbers and producing reports be as hard to do as programming image recognition, or writing software to control nuclear power plants?” Thank you for checking out the 26 most read stories about Enterprise on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

26 Stories To Learn About Enterprise

In 2021, hosted the first-ever awards!! HackerNoon Startup of the Year The goal of this campaign was to give recognition to the hardworking startups who pulled through the pandemic -- growing and thriving (despite all of the challenges). More than 44,000 startups were nominated all across the globe! They were selected from over 4,553 cities, with a total number of * cough * “4 billion” votes. Insane, right? To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. (Compromised awards are under review. Cities with tie votes will be updated to have two winners!) startups.hackernoon.com The will announce the winners per region in their respective cities. Startups Winners Announcement series Here are the winners in the : Asia region Top Startup Cities in East Asia Seoul The Startup of the Year in is with 377 votes! Seoul dable Central is the Startup of the Year! It came out ahead with 121 votes. UpNow Central Sheung Wan came out as the Startup of the Year in with 154 votes. Votee Sheung Wan Tokyo The Startup of the Year in is with 41 votes! Tokyo ACES Wan Chai The Startup of the Year in is with 54 votes! Wan Chai Zetl Osaka, Japan In , is the winner! Osaka Nanophoton Taiwan came out as the Startup of the Year in ! Tico Taiwan Dongcheng, China In , is declared the Startup of the Year! Dongcheng Waiju Taipei came out as the Startup of the Year in ! Tico Taipei Akasaka In , is the winner! Akasaka WAKUWAKU Chuo In , is declared the Startup of the Year! Chuo GO-NET Ginza came out as the Startup of the Year in ! Netyear Ginza Kanazawa In , is the winner! Kanazawa Granzella Minami-aoyama In , is declared the Startup of the Year! Minami-aoyama Tokyo6 Entertainment Shibuya came out as the Startup of the Year in ! Hupro Japan Shibuya Toranomon In , is the winner! Toranomon Small Worlds Toshima In , is declared the Startup of the Year! Toshima Altplus Guangzhou, China came out as the Startup of the Year in ! Leyaoyao Guangzhou Hong Kong, Hong Kong In , is declared the Startup of the Year! Hong Kong Episode Six Kunming In , is the winner! Kunming Green A Sapporo In , is declared the Startup of the Year! Sapporo Polar Star Space Shirokanedai came out as the Startup of the Year in ! Nupp1 Shirokanedai Wuhan In , is the winner! Wuhan CSICEE Baoan, China In , is declared the Startup of the Year! Baoan Jumper Baoshan, China In , is declared the Startup of the Year! Baoshan Renren Games Chengdu, China came out as the Startup of the Year in ! Ju You Xi Chengdu Fujisawa, Japan In , is the winner! Fujisawa Scohia Pharma Fukuoka, Japan In , is declared the Startup of the Year! Fukuoka Kyulux Haidian, China came out as the Startup of the Year in ! 51vv Haidian Hongkou, China In , is the winner! Hongkou Kidstone Jiading, China In , is declared the Startup of the Year! Jiading IMRobotic Kawasaki, Japan came out as the Startup of the Year in ! QD Laser, Inc. Kawasaki Kyoto, Japan In , is declared the Startup of the Year! Kyoto Hacarus Minato, Japan In , is the winner! Minato Visionary Fun Nagoya, Japan came out as the Startup of the Year in ! Prodrone Nagoya Ningbo, China The winner in is . Ningbo OlymTech Corporation Aomori In , is declared the Startup of the Year! Aomori Forte Japan Bandai-cho In , is the winner. Bandai-cho Delta-Fly Pharm Changchun In , the Startup of the Year is . Changchun Kaidi Animation Fuchu In , is declared the Startup of the Year! Fuchu TMS Fukuoka-shi The winner in is . Fukuoka-shi SkyDisc Fukushima In , the Startup of the Year is . Fukushima Matsuri Technologies Gotanda In , is the winner. Gotanda Basset Hachioji In , is declared the Startup of the Year! Hachioji Adriakaim Harbin The winner in is J . Harbin oining Technology Iwaki In , is the winner. Iwaki Tao Engineering Izumo In , the Startup of the Year is . Izumo PuREC Kagoshima In , is declared the Startup of the Year! Kagoshima Farmers Support Kamakura In , the Startup of the Year is . Kamakura KAYAC Kami-meguro The winner in is . Kami-meguro Buzzreach Kanagawa In , is the winner. Kanagawa LoiLo Kashiwa In , the Startup of the Year is . Kashiwa Intelligent Surfaces Kita In , is declared the Startup of the Year! Kita Ax Robotix Kobe The winner in is . Kobe Coconomi Koriyama In , the Startup of the Year is . Koriyama Tocoton Kumamoto In , is the winner. Kumamoto Bloom Technology Kunitachi In , is declared the Startup of the Year! Kunitachi Trys Liaocheng The winner in is . Liaocheng Jinzheng Animation Minami In , is declared the Startup of the Year! Minami ATLAB Miyazaki In , is the winner. Miyazaki Caster Nagano In , is declared the Startup of the Year! Nagano Precision Forestry Nagaoka The winner in is . Nagaoka Plant Form Nihombashi-hamacho In , the Startup of the Year is . Nihombashi-hamacho Shizen Energy Niigata In , is declared the Startup of the Year! Niigata UniBio Japan Nishi-shinagawa In , is the winner. Nishi-shinagawa Play Heart Okayama In , is the winner! Okayama Arch Farm Okinawa In , is declared the Startup of the Year! Okinawa BlogNinja Otemachi In , the Startup of the Year is . Otemachi beBit, Inc Qingdao Shi In , is the winner! Qingdao Shi Manyoubang Quanzhou In , is declared the Startup of the Year! Quanzhou KungFu Animation Group Roppongi The winner in is . Roppongi Holo-X Saitama In , the Startup of the Year is . Saitama GameTector Sendai In , is the winner! Sendai Sendai Smart Machines Setagaya In , is declared the Startup of the Year! Setagaya Skyestate Shenzhen In , the Startup of the Year is . Shenzhen Aiator Shinjuku In , is declared the Startup of the Year! Shinjuku Scalar Shizuoka In , is the winner! Shizuoka PiPhotonics Sumida The winner in is . Sumida Holotch Tachikawa In , the Startup of the Year is . Tachikawa PlusOne Takamatsu In , is declared the Startup of the Year! Takamatsu Ken Robotec Tokushima In , is the winner! Tokushima DennoKotsu Toyonaka In , the Startup of the Year is . Toyonaka FISH BIOTECH Tsukuba In , is declared the Startup of the Year! Tsukuba WARPSPACE Wakayama In , the Startup of the Year is . Wakayama 4D Sensor Xiangzhou In , is the winner! Xiangzhou ALLiN Edutech Group Xianyang The winner in is . Xianyang TONLY Xiaoshan In , is declared the Startup of the Year! Xiaoshan GONGHUI Yamaguchi In , the Startup of the Year is . Yamaguchi Archis Yangpu The winner in is . Yangpu Tmxmall Yau Tsim Mong In , is the winner! Yau Tsim Mong Airnugget Yeoksamdong In , the Startup of the Year is . Yeoksamdong WizSchool Yichang In , is declared the Startup of the Year! Yichang Hubei Kento Electronic Yokohama In , is the winner! Yokohama Next Innovation Yubei In , the Startup of the Year is . Yubei Ophiux Network Yueqing The winner in is . Yueqing Yueqing Easythink Media Zhuhai In , is the winner! Zhuhai Aijuba Hongo In , the Startup of the Year is . Hongo Smile Robotics, Inc Admiralty In , is declared the Startup of the Year! Admiralty BUNCH Southern In , the Startup of the Year is . Southern Retykle Yongdungpo In , is the winner! Yongdungpo Push News Taichung In , is declared the Startup of the Year! Taichung Wondercise Cyberport, Hong Kong In , the Startup of the Year is . Cyberport Animoca Brands Hefei, China In , is the winner! Hefei Tsinglink New Territories, Hong Kong The winner in is . New Territories, Hong Kong Zeek Dezhou In , the Startup of the Year is . Dezhou Dezhou Baji Kitakyushu In , is declared the Startup of the Year! Kitakyushu Reif Seongnam In , is the winner! Seongnam EOFlow Yanshi In , the Startup of the Year is . Yanshi CASI Vision Top Startup Cities in South Asia Hyderabad, India The Startup of the Year in is with 962 votes Hyderabad Quixy Lahore, Pakistan is the Startup of the Year! It came out ahead with 186 votes. SmartWindows Lahore Bangalore, India When it comes to , is the Startup of the Year with 210 votes! Bangalore vBridge Hub Pune, India couldn’t be beaten for Startup of the Year in , it won with 129 votes! InfraCloud Pune Jaipur, India The Startup of the Year in is with 166 votes Jaipur Emizen Tech Lucknow, India is the Startup of the Year! It came out ahead with 279 votes. Keeros Superfoods Lucknow Noida, India came out as the Startup of the Year in with 156 votes! Bagisto Noida Mumbai, India When it comes to , is the Startup of the Year with 96 votes! Mumbai Sequretek Sylhet couldn’t be beaten for Startup of the Year in , it won with 122 votes! DataXpie Sylhet Mylapore, India In , is the winner! Mylapore Yalimart Goa, India In , the Startup of the Year is Goa Filter Coffee Delhi, India In , is declared the Startup of the Year! Delhi EkAnek Networks Karachi, Pakistan The winner in is Karachi Bykea Ahmedabad, India In , is the winner Ahmedabad MageComp Dhaka, Bangladesh The winner in is Dhaka SOLshare Islamabad, Pakistan In Islamabad, is declared the Startup of the Year! TAG Gurgaon, India In , the Startup of the Year is Gurgaon ixigo Bengaluru, India In , is the winner! Bengaluru Prakshep Private Limited Haryana, India couldn’t be beaten for Startup of the Year in ! Footprints Childcare Haryana Kolkata, India In , is the winner! Kolkata Wow! Momo New Delhi, India In , is declared the Startup of the Year! New Delhi Rusk Media Indore, India The winner in is Indore Chattar Patar Kormangala In , is the winner Kormangala Sanctum Technologies Ghaziabad came out as the Startup of the Year in Craftfurnish.com Ghaziabad! Mohali In , the Startup of the Year is Mohali DataKund Mysore The Startup of the Year in is Mysore Excelsoft Karnal came out as the Startup of the Year in ! Dunar Karnal Kolhapur In , is the winner! Kolhapur Zanvar Group Patiya In , the Startup of the Year is Patiya Kloud Project Kathmandu In , is declared the Startup of the Year! Kathmandu Vairav Technology Bangalore City, India In is the winner! Bangalore City, PagarBook Ernakulam The winner in is Ernakulam Epixel Solutions Colombo, Sri Lanka couldn’t be beaten for Startup in the Year in MAs Foods Colombo Andheri, India When it comes to , is the Startup of the Year! Andheri DoorMint Kanpur, India came out as the Startup of the Year in ! ServiceWalaa Kanpur Faisalabad In , is the winner! Faisalabad DigiKhata Nasik The Startup of the Year in is Nasik Sahyadri Farms Patna came out as the Startup of the Year in ! Asvin Tech Patna Chennai, India In , is the winner! Chennai Agnikul Cosmos Faridabad, India In , is declared the Startup of the Year! Faridabad UClean Panjim, India The winner in is Panjim TempoGO Ranchi, India In , is the winner Ranchi Osam Dairy Surat, India In , is declared the Startup of the Year! Surat Wishbook Thane, India In , is the winner! Thane Delight Foods Trivandrum, India came out as the Startup of the Year in ! GenRobotic Trivandrum Vijayawada, India In , the Startup of the Year is Vijayawada Eruvaka Technologies Visakhapatnam, India In , Ltd is declared the Startup of the Year! Visakhapatnam Greenline Labs Pvt Ahmadabad In , is the winner! Ahmadabad KiwiQA Services Bandra came out as the Startup of the Year in ! Car Club Bandra Bombay In , is the winner! Bombay Locobuddy Mobile Technology (Sportobuddy) Cochin In , the Startup of the Year is Cochin Tuttifrutti Interactive Gandhinagar In , is declared the Startup of the Year! Gandhinagar Kroop AI Guwahati In , the Startup of the Year is Guwahati GNRC Hospitals Jamshedpur In , is declared the Startup of the Year! Jamshedpur Intelliber Kabul The winner in is Kabul Miracle Shop (Vocinno Technology) Karur In , is the winner Karur Karur Vysya Bank Kochi The winner in is Kochi BestDoc Kozhikode In , is declared the Startup of the Year! Kozhikode OfficeKit HR Ludhiana In , the Startup of the Year is Ludhiana Trendy Beat Network Madhapur In , is the winner! Madhapur Head Digital Works Mangalore When it comes to , is the Startup of the Year Mangalore Hangyo Nagpur came out as the Startup of the Year in ! UPrudence Agro Nagpur Rawalpindi The Startup of the Year in is Rawalpindi Pro Options Marketing Rishikesh came out as the Startup of the Year in ! Descatuk Rishikesh Secunderabad couldn’t be beaten for Startup of the Year in Prakriti Biosystems Engineering Secunderabad Tirupur In , is the winner! Tirupur Tubeknit Fashions Udupi The winner in is Udupi Krishitantra Top Startup Cities in Southeast Asia Singapore, Singapore The Startup of the Year in is with 6556 votes! Singapore Cake DeFi Hanoi, Vietnam is the Startup of the Year! It came out ahead with 683 votes. DeFi For You Hanoi Kuala Lumpur, Malaysia came out as the Startup of the Year in with 109 votes! Trambellir Kuala Lumpur Pasig, Philippines When it comes to , . is the Startup of the Year with 110 votes! Pasig Quickreach Inc Bangkok, Thailand couldn’t be beaten for Startup in the Year in , it won with 60 votes! Perception Codes Bangkok Johor Bahru In , the Startup of the Year is . Johor Bahru AGR1 Bandung, Indonesia In , is declared the Startup of the Year! Bandung Prosa Portugal The winner in is . Portugal SCEMAI Tangerang, Indonesia In , is the winner Tangerang Yummy Corp Jakarta, Indonesia In , is the winner! Jakarta Tokocrypto Dki Jakarta, Indonesia In , is declared the Startup of the Year! Dki Jakarta Limakilo Bangkok Metropolis In , is the winner! Bangkok Meticuly Medan The winner in is ! Medan DIKA Manila, Philippines In , is declared the Startup of the Year! Manila PawnHero Phnom Penh, Cambodia In , the Startup of the Year is Phnom Penh vKirirom Bali In , is the winner! Bali Radius App Penang When it comes to , is the Startup of the Year Penang EasyParcel Surabaya came out as the Startup of the Year in ! Super Surabaya Setiabudi, Indonesia The Startup of the Year in is Setiabudi Chilibeli Cebu City came out as the Startup of the Year in MiCab Cebu City! Jawa couldn’t be beaten for Startup in the Year in DAUR Jawa Ho Chi Minh City, Vietnam In , is the winner! Ho Chi Minh City Pharmacity Selangor, Malaysia is the Startup of the Year! BabyDash Selangor Jakarta Pusat, Indonesia In , is the winner! Jakarta Pusat StickEarn Semarang When it comes to , is the Startup of the Year! Semarang Food Bear Petaling Jaya, Malaysia The winner in is . Petaling Jaya Deemples Kebayoran Baru, Indonesia couldn’t be beaten for Startup in the Year in ! Yogrt Kebayoran Baru Kuningan The winner in is . Kuningan Prinzio Bukit Merah came out as the Startup of the Year in ! DC Alliance Bukit Merah Huai Khwang In , the Startup of the Year is . Huai Khwang AppMan Co.,Ltd Kuta In , is declared the Startup of the Year! Kuta Gringgo Mandaluyong came out ahead as the Startup of the Year! Work Inspire Mandaluyong Midview City In , is the winner! Midview City BioMers Phuket The Startup of the Year in is ! Phuket Sapahn Yangon, Myanmar The winner in is . Yangon Wave Money Denpasar When it comes to , is the Startup of the Year! Denpasar Revasi Nakhon Ratchasima, Thailand The winner in is . Nakhon Ratchasima Siam Lottery co., Ltd Taguig, Philippines In , is the winner! Taguig PayMongo Bogor came out as the Startup of the Year in ! TIRANYX Bogor Senai, Malaysia won as the Startup of the Year. Nutrition Technologies Senai Bekasi Kota couldn’t be beaten for Startup in the Year in ! 8villages Bekasi Kota Top Startup Cities in Middle East Tel Aviv, Israel The Startup of the Year in is with 1,065 votes! Tel Aviv hyro Beirut, Lebanon is the Startup of the Year! It came out ahead with 1,276 votes. Hovi Digital Lab Beirut Riyadh, Saudi Arabia With 350 votes, came out as the Startup of the Year in ! Flicron Riyadh Tel Aviv-yafo, Israel When it comes to , is the Startup of the Year with 167 votes! Tel Aviv-yafo Cymbio Haifa, Israel couldn’t be beaten for Startup in the Year in , it won with 183 votes! Pico Haifa Amman, Jordan In , with 141 votes, is the winner! Amman Edexy Dubai, United Arab Emirates In , the Startup of the Year is with 74 votes. Dubai Ziina Doha, Qatar In , is declared the Startup of the Year! Doha SkipCash Tehran, Iran The winner in is . BeyondBoard AR Tehran Jerusalem, Israel In , is the winner! Jerusalem SolidBlock Rishon Le Zion The Startup of the Year in is ! Rishon Le Zion Passparto Ness Ziona, Israel is the Startup of the Year! Soapy Ness Ziona Kuwait, Kuwait came out as the Startup of the Year in ! Brapper Shop Kuwait Manama, Bahrain couldn’t be beaten for Startup in the Year in ! Doctori Manama Lod, Israel is the winner in ! Phinergy Lod Agudat Israel, Israel When it comes to is the Startup of the Year with [vote ] votes! Agudat Israel, Aqaurius Engines Beersheba, Israel In , the Startup of the Year is . Beersheba Visual Estate Ltd Giv'atayim, Israel In , is declared the Startup of the Year! Giv'atayim WSC Sports Modi'in, Israel The winner in is . Modi'in Loginno Nazareth, Israel In , is the winner! Nazareth AR Guide In Medical Ramat Gan, Israel The Startup of the Year in is . Ramat Gan Datos Health Baghdad When it comes to , is the Startup of the Year! Baghdad Mishwar Khobar In , the Startup of the Year is . Khobar Garage Misgav couldn’t be beaten for Startup in the Year in ! Eden Shield Misgav Sharjah came out as the Startup of the Year in ! Bookends Sharjah Affula In , the Startup of the Year is . Affula eMotion Technologies Bene Beraq, Israel In , is the winner Bene Beraq Reflectiz Caesarea, Israel In , the Startup of the Year is . Caesarea CardiacSense Dubayy In , is declared the Startup of the Year! Dubayy North Ladder Muscat couldn’t be beaten for Startup in the Year in ! iLab Marine Muscat Tirat Carmel In , the Startup of the Year is . Tirat Carmel PassCall Advanced Technologies Hod Hasharon, Israel The winner in is . Hod Hasharon Idomoo Holon, Israel came out ahead as the Startup of the Year! OptimalPlus Holon Jeddah, Saudi Arabia When it comes to , is the Startup of the Year! Jeddah Arabian Combustion Technologies Ramat Hasharon, Israel is the Startup of the Year! Lumen Ramat Hasharon Al Khobar came out as the Startup of the Year in ! Swyft Al Khobar Bet Shemesh In , is the winner! Bet Shemesh Degania Medical Binyamina When it comes to , is the Startup of the Year! Binyamina OncoHost Makkah In , the Startup of the Year is Makkah Scimagine Or Akiva Last but not least, couldn’t be beaten for Startup in the Year in the city of ! WMT Or Akiva More Information: If you’re a winner, please answer ! If you’re a reader, participant, just a curious individual, consider answering one of our interviews . this interview here Read the FAQs about or . Startups here here To see all of the winners you may visit , pick any city and view the name that appears at the top. this site If you’re interested in partnering with us, we invite you to look through some of these or reach out to our business department. unique sponsorship options Perhaps creating your very own tickles your fancy or maybe you have a whole new idea for how we can partner! writing contest Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! The Startups Awards are sponsored by: , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network The post was written by Kushal Tamrakar and Valerie Ejegi, edited by Hang Ngo. If you have any questions or concerns or would like to report a discrepancy please email ellen@hackernoon.com.

Meet the Winners of Startups in Asia

Edge AI starts with edge computing. Also called edge processing, edge computing is a network technology that positions servers locally near devices. This helps to reduce system processing load and resolve data transmission delays. These processes are performed at the location where the sensor or device generates the data, also called the edge. Note: This article was written by Tatsuo Kurita Developments in edge computing mean that edge AI is becoming more important. This is true across a variety of industries, particularly when it comes to processing latency and data privacy. In this article we’ll look at the impact of Edge AI, why it’s important, and common use cases for it. What is edge AI? Edge AI refers to AI algorithms that process locally on hardware devices, and can process data without a connection. This means operations such as data creation can occur without streaming or storing data in the cloud. This is important because there are an increasing number of cases where device data can’t be handled via the cloud. Factory robots and cars, for example, need high-speed processing with minimal latency. To achieve these goals, edge computing can generate data through deep learning on the cloud to develop deductive and predictive models at the data origin point, i.e. the device itself (the edge). We can see an example of this at work in factory robots. AI technology can be used here to visualize and assess vast amounts of multimodal data from surveillance cameras and sensors at speeds humans can’t process. We can also use it to detect faulty data on production lines that humans might miss. These kinds of IoT structures can store vast amounts of data generated from production lines and carry out analysis with machine learning. They are also at the heart of the deductive and predictive models that improve the smartification of factories. Edge AI, the Internet of Things, and 5G: Edge AI is often talked about in relation to the Internet of Things (IoT) and 5G networks. The term IoT refers to devices connected to each other through the internet, and includes smartphones, robotics, and electronic devices. As a platform that performs analysis with AI, edge AI can collect and store the vast amount of data generated by IoT, making it possible to use clouds with scalable characteristics. This allows for improved data processing and infrastructural flexibility. 5G networks can enhance the above-mentioned processes because their three major features — ultra-high speed, massive simultaneous connections, and ultra-low latency — clearly surpass that of 4G. 5G is indispensable for the development of IoT and edge AI, because when IoT devices transmit data, data volume swells and impacts transfer speed. Drops in transfer speed can create latency, which is the biggest issue when it comes to real-time processing. Why are edge computing and edge AI important? There are an increasing number of cases in which device data can’t be handled via the cloud. This is often the case with factory robots and cars, which require high-speed processing because of issues that can arise when increased data flow creates latency. For example, imagine a self-driving car suffering from cloud latency while detecting objects on the road, or operating the brakes or steering wheel. Any slowdown in data processing will result in a slower response from the vehicle. If the slowdown is such that the vehicle does not respond in time, this could result in an accident. Lives are literally at risk. For these IoT devices, a real-time response is a necessity. This means the ability for devices to analyze and assess images/data on the spot without relying on cloud AI. By entrusting edge devices with information processing usually entrusted to the cloud, we can achieve real-time processing without transmission latency. In addition, by limiting cloud data transmissions to only vital information, it is possible to reduce data volume and minimize communication interruptions. Edge AI Use Cases The edge AI market is chiefly comprised of two areas: industrial machinery, and consumer devices. We’re seeing progress with demonstration tests in areas including controlling and optimizing equipment, and automating skilled labor techniques. Progress is also being made with consumer devices that have cameras with AI that automatically recognize photographic subjects. Because the number of devices is larger than industrial machines, the consumer device market is expected to rise drastically from 2021 onwards. We’ve put some common use cases for edge AI below: Self-Driving Cars Self-driving cars are the most anticipated area of applied edge computing. There are many cases where self-driving cars have to make instantaneous assessments of a situation, and this requires real-time data processing. In December of 2019, revisions to the Road Traffic Act and Road Transportation Vehicle Law in Japan made it easier to get level 3 self-driving cars on the road. These include the safety standards that autonomous vehicles are held to, and the areas in which they can operate. As a result, car manufacturers are working on self-driving cars that adhere to these standards. Toyota, for example, is already testing full automation (level 4) with the TRI-P4. Autonomous Drones There’s been an increase of news about drones losing control and going missing while on remote flight experiments. This has even resulted in accidents. Depending on where the drone lands, a crash can be catastrophic. With autonomous drones, the pilot is not actively involved in the drone’s flight. They monitor the operation remotely, and only pilot the drone when absolutely necessary. The best known example of this is Amazon Prime Air, a drone delivery service which is developing self-piloting drones to deliver packages. Facial Recognition Facial recognition systems are a development in surveillance cameras, which can learn to recognize people by their faces. In November 2019, WDS Co., Ltd began supplying Eeye, an AI camera module that analyzes facial features in real-time through edge AI computing processes. Eeye recognizes faces quickly and accurately, and is suited for marketing tools that target characteristics such as gender and age, and face identification for unlocking devices. Smartphones This edge AI device is the one we’re all most familiar with. Siri and Google Assistant are good examples of edge AI on smartphones, as the technology drives their vocal user interfaces. With on-device AI, processing happens on the device (edge) side, meaning there is no need to deliver device data to the cloud. This helps secure privacy and reduce traffic. The Future of Edge AI Edge AI is growing, and we’ve seen big investments in the technology. Companies like Konduit AI are making it a key part of their AI strategy in Southeast Asia. Another example was in January of 2020, when it was reported that Apple invested 200 million dollars to acquire the Seattle-based AI enterprise, Xnor.ai. Xnor.ai’s AI tech processes data on the user’s smartphone with edge processing. With built-in AI on the smartphone itself, we’ll likely see advancements in voice processing, facial recognition technology, and enhanced privacy. According to the “2019 AI Business Aggregate Survey” published by Fuji Keizai Group, the edge AI computing market in Japan had a forecast market size of 11 billion yen in the 2018 fiscal year. The survey predicts the market to expand to 66.4 billion yen in the 2030 fiscal year. And with the spread of 5G, we’ll also likely see decreasing costs and increasing demand for edge AI services across the world. Author Profile From self-employed field engineer to PHP programmer, Tatsuo Kurita is now a UX director working mainly as a technical director to support corporate products. His expertise covers a wide range of areas, including certification in applied information technology, information security management, mental health management grade II, HTML, general deep learning, and AI implementation. Previously published on: https://lionbridge.ai/articles/what-is-edge-ai-computing/

A Simple Introduction to Edge AI

There are many users of Bitcoin who do not concern themselves with what happens behind-the-scene while using the cryptocurrency. Nevertheless, especially with the realization that Bitcoin is not as private as previously thought. privacy is a big issue among those who are aware of its implications, This is because data when compromised leads to undesirable situations. This is one of the reasons for the interest many crypto users have in privacy coins such as Monero and Zcash.  Obviously, no one willingly allows their privacy to be compromised talk less when their assets could be at risk. Bitcoin has maintained its dominance because it is still the digital currency of choice for most crypto enthusiasts, prompting users to seek ways of using it anonymously. This has resulted in the budding mixing services that act as privacy-enhancing tools. It is important to understand that most transactions on public blockchains such Bitcoin are verified by private companies and it is possible that malicious players such as hackers could exploit them to know how much bitcoins a person holds. This has naturally raised concerns among crypto users because it means that the most rudimentary crypto transactions are exposed to third-part scrutiny with high possibility of linking it to a person’s identity. In an age in which we already feel the impact of massive intrusion due to technology, having hackers or big corporations spying on our finance is definitely not needed. Who would not feel concerned if they’re giving up more privacy than they intended while conducting a financial transaction? How Tumbler Work; bitcoinmix.org Bitcoin is fungible. This feature is taken advantage of in the bid to enhance privacy for the users of bitcoin through the obfuscation of the source of the bitcoin by mixing the coins. This makes it impossible for blockchain analysis to trace the source of coin in a wallet because its movement has been obliterated. This helps in protecting the identity of the owner. This is possible because one bitcoin is exactly the same as another – fungible. This means that specific bitcoins are not traceable but amounts, transactions and addresses can be traced. To render the user and his transactions anonymous, the tumbling service disconnects the link between one wallet and another. So you could send bitcoins from a wallet that you have been using for transactions to another that you own. Your new wallet would effectively be shielded from people tracking your past transactions on the blockchain. Cryptocurrency mixers have come a long way. They keep the user anonymous by sending them equal volume of the coins as they sent to the tumbler. What Are Some Crypto Mixers Out There? I do believe that tumblers may cover nearly every feature a Bitcoin mixer may comprise of, however we need still need to concern ourselves with isn’t it? There is really no platform is  the best,  Bitcoin mixer is just alternative though that some mixers just turned scam. The largest bitcoin mixer the itmixer. also have mixing service for  Ethereum (ETH) and  Litecoin (LTC). This essentially means that aside Bitcoin, ETH and LTC can also be mixed to keep protect the privacy of the user. BitcoinMix.org is also one a popularpopular centralized mixer. However, Bitcoin Magazine does not endorse, let alone recommend using any centralized mixers, including smartmix.io, because of the unsolved problems mentioned above. smartmix is also a popular bitcoin wallet that has a Chaumian CoinJoin mixer built in. And while Wasabi Wallet’s infrastructure is technically centralized, it is cleverly designed so the operator cannot deanonymize users nor steal any funds. It also offers a user-friendly interface to help users distinguish between mixed coins and non-mixed coins. WasabiWallet.io Similar to Wasabi Wallet, the also offers a Chaumian CoinJoin mixing service, called Whirlpool. While Wasabi Wallet is currently only available on desktop, Samourai is also available on mobile. However, to really use Samourai Wallet in a privacy-friendly manner (where users’ privacy is protected even from the Samourai Wallet team), users do need to connect their wallet to their own full Bitcoin node. Samouraiwallet An alternative option to mixing coins is using . JoinMarket allows users to merge transactions into bigger transactions through (regular) CoinJoin, which also helps obfuscate their trail of coins and protects their privacy. JoinMarket An interesting benefit of JoinMarket is that participants in such merges are financially incentivized to offer their coins to be mixed: Users that want to mix their coins would pay a small amount of fee to be able to do so.

Why Do You Need Privacy When Transacting in Cryptocurrencies?

Marketers have readily adopted various tech-enabled means and tools to increase brand awareness and find the right target audiences for their clients. But what if I told you that embracing AI-powered tools in Social Media (and implementing them correctly) will enhance every single customer's journey, thereby retaining much more of them, for much longer? Think about your favorite products: Netflix which gives us personalized movie choices, Amazon, etc., all are AI-powered in order to give us a highly personalized user experience. Bonus: AI tools are now relatively cheaper, making it easy for small and medium scale businesses to implement. So, without further delay - read this to learn before you leap and make optimum utilization of AI in social media marketing. Here are the 10 Commandments for AI-assisted social media marketers: 1. Smart Ad-Targeting using Programmatic Advertising Why not let AI predictive analysis determine who to and when to target potential customers for your products rather than following the retroactive approach. This can be done using Programmatic Advertising where real-time data of user’s likes, preferences, location, an active time during the day, intent to buy, etc are analyzed and the most relevant ad is posted to them through a bidding process. This increases the better chances of conversion and engagement. You can now invest more in potentially higher-value customers by adjusting various bidding strategies boosting the efficiency of their campaigns. Example: As per thebestmedia.com , Audi with the launch of luxury SUV, the Q2 created a programmatic ad campaign and this led to an average conversion rate four times higher than those bought using traditional methods. 2. Focus on Personalized Content AI demand has increased due to its ability to publish personalized interest-based ads for each individual customer. Marketers should explore new dimensions of marketing with a data-driven approach. For eg: When we browse Netflix or similar platforms you will notice every time the content displayed is matching your interests and likes. This is because of the AI algorithms which work in the background of this app making it more user-friendly and engaging. Marketers can boost their Revenue and ROI by improving content relevancy. Example: Spotify’s gives you personalized music playlist for every individual by analyzing their taste and favorites and was able to reach 40 million people in its first year and the number has grown many folds now as every week it lists new music as per its user’s likes. 3. Be Available 24/7 365 days Handling inquiries and queries only during business hours is an old-fashioned thing. Missing an opportunity is giving that opportunity to your competitors. Hence it’s vital to attend every inquiry no matter what time it is posted. Dedicated resources can sometimes lead to errors and unavailability. Fortunately, with artificial intelligence chatbot powered by Machine Learning and Natural Language Processing, you can create a 24/7 online presence for initial support and queries no matter the day or time. This will hold your prospect from a competitor and later attend them personally at your office time to share more product details. Example: Mobile Monkey-Facebook Messenger Marketing Solution can take the contact lists and send chat blasts with auto-replies to promote your products. The 2018 State of Chatbot report from Salesforce tells 69% of the customers to prefer instant communication using Chatbots with brands. 4. Automate regular tasks Smart marketers are moving today’s smart AI tools to automate repetitive and tedious daily tasks. Updating the onboard and future customers about offers and deals is an everyday thing now with companies trying to lure their audience to strike a deal. AI tools can be your savior for email marketing. Your team can spend quality time and effort in more productive zones than to spends hours analyzing what to send to whom. Example: Gmail has recently launched a Smart Compose solution that employs AI to learn typing habits of a user and automatically finish their sentences for them. Such tools should definitely be used to save lots of valuable business time. 5. Identify disengaged customers at the right time Don’t waste your time assuming why customers are losing interest in your products, rather use AI to identify such customers and send them offers and discounts to keep them engaged. AI tools can lower your churn rates by understanding ratings and feedback and can identify future action on the product by the customer. This gives room for the brands to handle the situation at an early stage than to wait and lose the customer. Example: American Express uses AI-based Machine Learning technologies to do analytics and predict potential fraud and identify customers at the highest risk and accordingly take proactive action. 6. Optimize and empower your search results No doubt companies are using past data to analyze the user behavior but what they learn from the data is vital. Producing relevant results and recommendations in real-time based on things like user location, search history will result in better customer engagement. Example: Post the introduction of RankBrain, by Google in 2015, many e-commerce websites like Amazon have incorporated AI into their search engines for smart product search. Users can now get similar product suggestions, auto-correct spelling mistakes to help get the right product they are looking for. 7. Embrace Visual Search and Image recognition Visual search is changing the search landscape with platforms like Pinterest, Bing, and Google already using it. It uses smart image recognition and analysis to find results that are visually like the image. Marketers should definitely expand their search options using this for improving merchandising and furnishing personalized shopping experience, especially for the retail and e-commerce customers. Example: Pinterest has ‘Shop the look’ pins for advertisers to list fashion and users can use it to shop specific items from the image. Pinterest Lens has around 600 million searches every month , and this figure is growing exponentially ever since the technology was launched. Google’s Google Lens has a ‘Style Match feature’ which will furnish the search results against the image snapped. 8. Practice Social Listening and monitor conversations around your brand AI can study what customers are talking about their brand on various social platforms, review boards, blogs, etc and know if there are any complaints or issues with regards to their products and handle them before its widespread. Example: Post like “If you love your skin, Pls don’t buy it ever!!!” #FakeFarenessCream #SideEffects. This post is an alert to the brand and reaching the customer instantly, understand and resolving the issue will stop to further escalate the negative impact. AI can also sense purchase interest by a potential buyer by analyzing their interaction over the web. Example: A post saying — “Apple iPhone 7 worth a try?” Or “Clicked my selfie with friend’s Oppo F11, so amazing selfies that I now desire to buy one…”. Such posts are your potential buyers who can be easily converted by a personalized discount offer. 9. Charge the right price at the right time AI powdered Machine Learning can help to determine an accurate price for your products based on demand and competition. Talk about Amazon, Airbnb or Uber, they all have leveraged dynamic pricing and have built multibillion-dollar businesses. Marketers can get dynamic pricing based on factors like how much customer is willing to pay, response to offers and deals, price Vs quality comparison, etc. It can also compare the real-time prices of competitors to analyze if the pricing is too high or too low. Dynamic pricing is worth investing and it can transform companies’ fate like never before. Example: Airbnb has built its high-end dynamic pricing system considering various factors like market demand, location, time to buy, etc. It helps property owners to quote the best price It takes into. 10. Utilize Voice Search to maximize the value of AI Talk about Alexa, Google Assistant or Siri we all know them by all, and their use is rapidly increasing. More and more marketers are considering using voice search campaigns to capture more customers and now emphasizing the importance of semantics. With happening each month, it is surely worth considering for companies and agencies as a new source of revenue. Marketers should carefully assess all the voice search requests for actionable insight. more than one billion voice searches Let’s check out some statistics to understand the power Voice-Based search: - As per Gartner — About 30% of all searches will be done without a screen by 2020. - As per Statista - Up to January 2019, 45% of US millennials say they regularly use voice search for shopping. - As per Search Engine Journal — 76% of people who have smart speakers use voice search for “local” searches once weekly. - As per BrightLocal- 51% of consumers use voice search to find local restaurants. Hence there is no looking back, utilizing AI in this field will only lead to increased profits. These were just 10 pointers but there are many, and every business and marketer should explore more about AI and optimize its implementation in Social Media Marketing. Imagine a world where you no longer have to use any physical device, yet you can see and workaround. Online campaigns will be managed automatically, Emails, Posts will be composed and sent to relevant users. Businesses constantly improve their strategy as per data insight and grow exponentially. With AI, all this is not far to achieve. What is currently available is just a glimpse, but AI has much more than this to offer. So begin utilizing artificial intelligence into your social media marketing strategy today to be ahead in the race and shine in the future. By Bibin Ponnachan , Digital Marketing Strategist, Braincities Lab References: https://www.salesforce.com/blog/2019/08/chatbot-statistics.html https://www.americanexpress.com/us/foreign-exchange/articles/payment-services-fraud-detection-using-AI/ https://newsroom.pinterest.com/en/post/celebrating-one-year-of-pinterest-lens https://www.gartner.com/smarterwithgartner/gartner-predicts-a-virtual-world-of-exponential-change/ https://www.statista.com/statistics/990350/millennials-use-voice-assisted-shopping-usa/ https://www.searchenginejournal.com/new-study-reveals-what-people-are-buying-through-voice-assistants/287277/ https://www.brightlocal.com/research/voice-search-for-local-business-study/ https://www.forbes.com/sites/bernardmarr/2017/10/30/the-amazing-ways-spotify-uses-big-data-ai-and-machine-learning-to-drive-business-success/#730b4ea74bd2

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