Hiển thị các bài đăng có nhãn big data. Hiển thị tất cả bài đăng
Hiển thị các bài đăng có nhãn big data. Hiển thị tất cả bài đăng

Thứ Năm, 2 tháng 3, 2023

The Role Of Data In The Metaverse

 In his sci-fi novel Snow Crash, Neal Stephenson introduced the word “metaverse” all the way back in 1992. In the novel, the metaverse is a computer-generated universe for its protagonist Hiro, amplified by his goggles and headsets. And ever since Facebook changed its name to Meta and CEO Mark Zuckerberg effectively bet his company’s future on the metaverse, the hullabaloo surrounding the term only seems to be increasing daily. But what is the metaverse?

The Covid-19 pandemic forced many of us to work from home, taking part in meetings via Zoom and interacting will our colleagues over Slack. But what if we can create a more immersive world? A world where we can teleport ourselves somewhere to interact with our friends, family and colleagues without physically being present there? Imagine being able to work, learn, play, shop, create and do so many other things that we cannot do just using our computers and mobile phones. I believe the next version of the internet will offer these experiences in a combined virtual space that is the metaverse.

Now, metaverse is a universal word used to describe a combined virtual space, but there are specific technologies that comprise it. Augmented reality (AR), virtual reality (VR), head-mounted displays (HMD), the Internet of Things (IoT), 5G, artificial intelligence and spatial technologies are some of them. These technologies, when combined, offer the complete metaverse experience. However, in order to provide that experience, these technologies will need to rely on data to a large extent, particularly good data (i.e., data with integrity). This article will attempt to discuss the role of data in the metaverse and how some of the aforementioned technologies can leverage that data.

One of the key elements of the metaverse is using avatars to represent ourselves. Our avatars would be similar to our profile pictures that we use on social media sites, but not the static ones that we currently use. Instead, they would be dynamic, 3D representations of us. And we might have multiple avatars—one for gaming, one for our professional lives, one for hanging out with our friends, etc.

App creators would be able to offer us these avatars in the metaverse, but how would they create them? AI, one of the metaverse technologies I previously mentioned, would play a critical role in designing these customizable avatars. AI can analyze 2D user images or 3D scans to create realistic and accurate avatars. We’re already seeing this play out in the real world with apps like Lensa, which takes users’ profile pictures and uses AI to convert them into digital avatars. And as part of the work that we do for our clients at Zuci Systems, we are exploring the possibility of AI being able to create models that provide suggestions for user avatars for our healthcare clients.

Another element of the metaverse that would rely on data significantly is the use of digital twins. These are digital representations of physical infrastructure and devices that data scientists and IT professionals can use to run simulations on. Digital twins are continuously updated with historical as well as current data from various sources to create an up-to-date representation as soon as new information becomes available.

At our company, we are in the early stages of using digital twins for one of our large clients, but we can already see how digital twin technology would have an impact on the AR and VR components of the metaverse. The use of digital twin technology can come in handy for metaverse app creators to test various scenarios or specific settings before actually implementing them as part of the metaverse.

A recent McKinsey article notes that digital twin technology will play a key role in helping shape the “enterprise metaverse.” The article states: “Ultimately, the ‘enterprise metaverse’ will be powered by dozens of interconnected digital twins that replicate everything from physical assets (like products and office buildings) to people (such as customers and employees) to core business processes and often interact with the physical environment without human intervention.” One can only imagine the amount of data in a scenario like this.

The technologies mentioned here are certainly going to play a critical role in the development of the metaverse. And needless to say, high-quality training data will be required so that developers can use these technologies to build the platforms and apps that will allow the metaverse to reach its full potential.

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Article resource: https://www.forbes.com/sites/forbestechcouncil/2023/01/30/the-role-of-data-in-the-metaverse/?sh=5e0ac567792f

Data And AI Will Redefine Businesses In 2023

 As we launch into 2023, the world is in the middle of three very large transitions. First is the transition to a new geo-political, social-economic work order. Second is the transition to a low-carbon economy. And third is the first truly scaled deployment of AI in the enterprise. And across these opportunities and challenges, a few key technology trends are clearly taking shape:

Chủ Nhật, 20 tháng 11, 2022

5 Types of Technology All Entrepreneurs Need Access to in the Digital Age

 Saying that we live in a "digital age" may feel a bit cliche, but there's no denying that the internet and social media have revolutionized the way we interact. Survey data from the Pew Research Center reveals that 81 percent of Americans use the web daily, with 28 percent saying they are online "almost constantly."

Data Is Essential To Digital Transformation

We live in a hyperconnected ecosystem, where every interaction results in massive datasets being generated. This consumption and usage of data has significantly changed over the years, helping shape new business models and driving a customer-centric approach to transformation.

Thứ Tư, 21 tháng 9, 2022

Why Data Scientists Should Follow Software Development Standards

As the organisations have started to recognise the value of data, the need for data scientists has seen an exponential rise since then. Unlike traditional methods, crucial decisions among organisations are now mostly data-driven.

Thứ Hai, 19 tháng 9, 2022

Machine Learning for Data Management

Data impacts nearly every part of our lives and is critical for companies to stay relevant. It has transformed almost every industry to drive efficiency, better insights, and business growth.

However, managing this data can take an enormous amount of time and expense. Between security, auditing, organizing, and more, managing data sets can create a significant strain on employee time and energy. In fact, most data scientists and business analysts spend around 80% of their time finding, cleaning, and reorganizing data sets. This leaves just 20% of their time to spend on value-generating activities.

Chủ Nhật, 18 tháng 9, 2022

Data Engineer vs Data Scientist: What’s the Difference?

The data engineer equips the business with the ability to move data from place to place, known as data pipelines. Data engineers provide data to the data science teams.

The data scientist consumes data provided by the data engineers and interprets it to say something meaningful to decision-makers in the company.

In this article, let’s dive a little deeper into the roles of data engineer and data scientist.

Thứ Ba, 30 tháng 8, 2022

Top 5 Best Internet of Things (IoT) Software in 2022

IoT software has emerged as one of the key inventions of the twenty-first century in recent years. There came a streamlined connection between different systems through the internet by linking items we see at home or work equipment professionals use through embedded devices. In this technology-driven environment, the physical world collaborates so effectively with the digital world that companies rely on the Internet of Things (IoT) to automate operations and save labor expenses. 

Above all, the best IoT software development reduces waste and optimizes service delivery. This leads to lowering the cost of manufacturing and delivering items while also providing transparency into consumer interactions.

Thứ Năm, 23 tháng 9, 2021

Storage for unstructured big data should be part of a company's strategy

For many IT organizations, data storage is an afterthought and not a strategic concern. However, when it comes to big data management, storage should occupy center stage.

Unstructured data is used to pictorially document key events, capture paper-based documents in a digital free-form format and report on company operations through sensors and other Internet of Things devices. Yet, a 2020 survey of C-level executives conducted by NewVantage revealed that only 37.8% of companies surveyed felt they had created a data-driven culture, and over half (54.9%) felt that they could not compete with other companies in the areas of data and analytics. 

Thứ Hai, 16 tháng 8, 2021

How Big Data Has Changed Finance

What Is Big Data?

The vast proliferation of data and increasing technological complexities continue to transform the way industries operate and compete. Over the past few years, 90 percent of the data in the world has been created as a result of the creation of 2.5 quintillion bytes of data on a daily basis.



Commonly referred to as big data, this rapid growth and storage creates opportunities for collection, processing, and analysis of structured and unstructured data.

How Big Data Works

Following the 4 V’s of big data, organizations use data and analytics to gain valuable insight to inform better business decisions. Industries that have adopted the use of big data include financial services, technology, marketing, and health care, to name a few.

Thứ Hai, 2 tháng 8, 2021

Understanding Generation Data

We have come to know of various generations from the G.I. Generation all the way to the centennials, or Gen Z. But have you heard of “Generation Data” (Gen D)?


IDC coined this term as a new market for folks in digital marketing to connect with “the population of people in organizational roles that work with and/or have a dependency on data in their daily activities.” This is a generation of people who know how to create and consume massive amounts of data, especially through mobile and social channels, among others. So why is this topic of addressing Gen D important for marketers right now?

Thứ Tư, 7 tháng 7, 2021

How big data shapes your ability to get a loan

How big data shapes your ability to get a loan

It has never been easier for your bank to see how much you are spending.

Data mining by financial institutions that provide high visibility of your spending can result in a better deal on a loan – if you are perceived as low risk.



How big data analytics can win the war against COVID-19

How big data analytics can win the war against COVID-19

The Indian healthcare system saw an unprecedented crisis as the nation continues to reel under the impact of the second COVID-19 wave. Hospitals struggled due to the acute shortage of critical resources such as oxygen, medicines, and medical staff that directly impacted healthcare access and patient lives. The country witnessed countless deaths and the economic burden continues to rise.

Thứ Tư, 2 tháng 6, 2021

When Data Science Met Epidemiology

When Data Science Met Epidemiology

During the COVID-19 pandemic, many data science and business analytics practitioners have been pulled—mostly willingly—into the field of epidemiology. Large businesses with data science teams wanted to learn as much as possible about the likely course of the infection in the places where they do business. 


Thứ Tư, 5 tháng 5, 2021

The Rise of Big Data Psychiatry

The Rise of Big Data Psychiatry

The information captured by our smartphones, as well as new speech- and facial-recognition technologies, can yield invaluable insights for mental health professionals.

ILLUSTRATION: JOHN W. TOMAC

Thứ Tư, 28 tháng 4, 2021

What is Blockchain? We explain the technology of blockchains

What is Blockchain? We explain the technology of blockchains

As a secure, distributed ledger, well-designed Blockchain technology not only eliminates intermediaries, reduces costs, and increases speed and reach, but also offers greater transparency and traceability for many financial processes.


Thứ Ba, 9 tháng 3, 2021

Six Skills You Need to Succeed in Cybersecurity

Six Skills You Need to Succeed in Cybersecurity

One reason companies can’t find the experienced cybersecurity professionals they need: there just aren’t many tech pros who have mastered not only the necessary technical abilities, but also “soft skills” (such as clear communication)—and those who have, well, they’re already employed (often with hefty salaries and benefits designed to keep them in place for the long term).


Chủ Nhật, 21 tháng 2, 2021

Big data trends to consider in 2021

Big data trends to consider in 2021

Intro

Big Data is keeping up with the pace. According to some studies there are 40 times more bytes in the world than there are stars in the observable universe. There is simply an unimaginable amount of data being produced by billions of people every single day. The global market size predictions prove it beyond any doubt.


Thứ Sáu, 5 tháng 2, 2021

10 Smart First Steps For Using Machine Learning To Power Data Analytics

10 Smart First Steps For Using Machine Learning To Power Data Analytics

An effective data analytics process brings many measurable benefits to businesses, providing information that can help boost productivity, improve products and services, retain customers and more. Automating the data analytics process is an especially helpful way to draw quick conclusions from your data.

Chủ Nhật, 24 tháng 1, 2021

Why secure data tokenization should scare the hell out of Big Data

Why secure data tokenization should scare the hell out of Big Data

With secure data tokenization, we will see a mass migration of both applications and users from existing power infrastructures to blockchain.

Digital Transformation In Supply Chain Management

Digital transformation is a term that is thrown around a lot, and people have different ways to interpret what it means. Essentially, digita...