Article: Why real-time data is crucial for Web 3.0

Blockchain, Data, Decentralized Internet, Web 3.0

Why real-time data is crucial for Web 3.0

Right now, the blockchain space remains scattered. Blockchain and its applications are there, floating in this new space that will become the internet of the future, but they lack certain aspects that will connect them more thoroughly and turn them into Web 3.0. In its current stage, the blockchain sector is not unlike the internet of the ‘90s. It has some of the aspects it needs, such as security, decentralization, financialization features, and more.

However, it still lacks the main component — the real-time data — that will allow it to go big, similarly to how Web 2.0 (the modern-day internet) exploded. This issue is well-known, and there are some working towards solving it. One example is Streamr, which seems to be in the best position among these projects.

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Article: Why interoperable data will save time and money for ag

Data, Decentralized Internet, Innovation

Why interoperable data will save time and money for ag

A great example is email. The various email systems such as Gmail, Outlook, Hotmail etc., exchange emails efficiently because their industry has created interoperable data standards and open-source tools that they all utilize. They do not need to develop separate code for each different email system they are sending emails to. Imagine the cost and the lift if each company had to “invent” email every time they set out to make their solution.

The hand-me-down nature of data systems that have been adapted to our needs instead of designed for them is probably one of the major reasons we have not yet solved this puzzle. This is an exciting time for our industry, not just because we are likely on the cusp of many great new innovations, but because we have been invited to the table to represent fresh produce and floral in the earliest phases of development.

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Article: Balancing data rights is about protecting human rights

Data, Open Source

Balancing data rights is about protecting human rights 

Governments and their citizens can no longer avoid these questions, as we work together to tackle climate change, racial injustice, gender inequality and other defining challenges of our age. We need to establish policies and practices that show how to govern data for the public good, while keeping those in power in check. This kind of commitment can help restore public trust and maximize benefits, from closing gender and racial gaps to dealing effectively with future pandemics. It will not be easy, but it will be worth it.

Article: Open data will catalyse the UK’s progress to net-zero

Data, Governance, Open Source

Open data will catalyse the UK’s progress to net-zero

A similar ‘pooling’ of data is needed to help us reach net-zero emissions targets, said Starks. “When it comes to energy distribution in the United Kingdom, for instance, we have large power stations, innumerable wind turbines, and countless microgeneration solar panels. At the consumer level, there are smart meters, too. So, in practice we’ve got millions of data bits flying around at any given moment, within a highly complex ecosystem. The breadth of available information is increasing exponentially.”

This will create challenges in the future for the UK. For example, how will local authorities digest the data effectively, in order to plan the installation of environmentally friendly heat pumps? How will they know whether there’s enough capacity on the local energy grid, and what the transmission constraints are? Bringing all the necessary information together is, and will be, incredibly complex. Clearly, improved access and sharing of the relevant data is essential to country-level sustainable transitions, and to delivering the green industrial revolution.

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Article: Edge computing is now more relevant than ever

Cloud, Data, Software

Edge computing is now more relevant than ever

The necessity to deliver infrastructure, application, and data resources to edge locations will accelerate the deployment of new, cloud-centric edge and network solutions, maintains IDC. These will provide much quicker processing to satisfy increasing digitalisation efforts. Edge will also provide a critical building block for business resilience, providing all-important scalability, flexibility and agility.

Enterprises must build resilience and transform to survive and thrive in the digitally-powered world we now operate in. Edge offers up accelerated response times and a route to enhanced service quality and new business models. There has never been a better time to move to the edge.

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Article: Blockchain Floated As A Solution For Medical Data Hacks

Blockchain, Cyber-Security, Data

Blockchain Floated As A Solution For Medical Data Hacks

Ally Medina, director of the Blockchain Advocacy Coalition in California, said that using verifiable credentials could be the solution. With this model, patients are the only people with access to information.

Verifiable credentials are the digital form of physical identification. Exchanging health records using verifiable credentials ensures health records have been transferred from doctor to patient. It does not store the record itself, making it an advocated option for new health tech companies.

Third parties holding personal information spark cybersecurity concerns, but verifiable credentials make hacking more difficult. The most recent technology developments are for proof of Covid-19 testing or vaccination.

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Article: How do these decentralized networks work?

Data, Decentralized Internet

How do these decentralized networks work?

The peer-to-peer infrastructure transforms the classic role of a server. In the P2B system, a user is a server and a client. His computer is technically a “node”. With P2P, everyone who downloads a file becomes a “partner”, making the file sharing process more efficient than the traditional network.

These “nodes” run the network by sharing their resources, such as bandwidth, disk storage, and / or processing power. These resources can be shared directly and the information will be distributed equally to all “nodes” in the network. For example, if you want to get the latest version of a Linux distribution like Debian, you will not get it from a centralized server; You will get pieces of it from many guys.

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Article: The Time Is Ripe For Companies To Adopt Decentralized Cloud Storage

Cloud, Data, Decentralized Internet

The Time Is Ripe For Companies To Adopt Decentralized Cloud Storage

In a normal cloud storage method, all company and employee information are gathered and stored in large data centers, which often falls victim to downtime and outages when the facilities go offline. But decentralized cloud storage is free of these hurdles. Here, companies get to experience a large, distributed network comprised of thousands of nodes across the globe that are independently owned and operated which store data on the organizations’ behalf.

  • Easy file transfer across vast distances
  • A good place for private data
  • Can be quickly downloaded with blockchain

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Article: The Dawn Of Data Ecosystems

Blockchain, Data, Decentralized Internet

The Dawn Of Data Ecosystems

Data ecosystems are interconnected, seamless networks that represent the next phase of data management. They allow companies with common interests to securely and dynamically collaborate around information. For example, a bank could be able to access and confirm the employment details of someone applying for a mortgage without needing to call their employer or see private details beyond what’s absolutely necessary.

The rise of blockchain-secured data ecosystems can eliminate these costs by building trust and integrity directly into the system. Due to the immutable nature of the blockchain ledger, companies can easily prove that they were in compliance at all times. This will save enormous amounts of time and money by essentially automating governance and compliance needs.

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Article: 5 Ways Developers Can Get the Most out of Edge Computing Platforms

Cloud, Data, Hardware, Software

5 Ways Developers Can Get the Most out of Edge Computing Platforms

Edge computing is a broad term that refers to any type of application deployment architecture in which applications or data are hosted closer to users–in a geographic sense–than they would be when using a conventional cloud or data center.

The big idea behind edge computing is that by bringing workloads closer to end users you can reduce network latency and improve network reliability–both of which are key considerations in an age when applications in realms like IoT, machine learning and big data require ultra-fast data movement.

  1. Containerize
  2. Be hardware-agnostic
  3. Understand device vs. cloud edge
  4. Extend the cloud
  5. Test for the edge

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