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Play-to-Earn (P2E)
What Is Play-to-Earn (P2E)? Play-to-earn (P2E) games built on blockchain technology have emerged from the decentralized finance (DeFi) trend in recent years. They promise to revolutionize the gaming industry by allowing creators and players to monetize their gameplay in new...
Meme Coin (Memecoin)
What Is a Meme Coin? Meme coins are cryptocurrencies inspired by internet memes, jokes, and satire. They have meme-inspired branding, logos, and names and are often not designed to have any specific use cases. Meme coins bank on community participation,...
Altcoin (Alt Coin)
What is an Altcoin? An altcoin (alternative coin) is any digital currency that was created after Bitcoin (BTC) was introduced to the general public in 2009. The concept of altcoins emerged as developers and entrepreneurs began to explore and develop...
Embracing Decentralization: Is Nostr the Answer to Social Network Concerns?
Social media plays a crucial role in the cultural, political, social, and economic aspects of our digitally-connected lives. Controversies like the Facebook–Cambridge Analytica data scandal – where personal data was used for political advertising – and censorship tactics used on...
By: Mensholong Lepcha | Editor
AI Disruption in FinTech: Exploring the Impact of AI-powered Tools Like IndexGPT
Much like it has in various other sectors, artificial intelligence (AI) has changed the way the fintech industry operates. Here are a few examples: AI helps analyze large sets of data and quickly gain valuable insights; AI has the ability...
By: Kaushik Pal | Contributor
Edge Data Pipelines: Maximizing Performance for Next-Level Efficiency
In today's data-driven era, where organizations rely on data analysis and insights in real time, they always aim to improve how they process and handle data. To achieve this goal, a new and clever method called edge computing has emerged....
By: Assad Abbas | Tenured Associate Professor of Computer Science at COMSATS University
What is inductive bias in machine learning?
In machine learning, inductive bias refers to the assumptions or preconceptions that a model or algorithm makes about the underlying distribution of data. These biases can influence the model's ability to learn from a given dataset and can affect the...
By: Dr. Tehseen Zia | Tenured Associate Professor at Comsats University Islamabad
How can bias be detected in machine learning?
Many machine learning algorithms use provided by data scientists to learn the desired results. Whether it's a supply chain anomaly, an image detection of a deer crossing the road or the correct response to a ChatGPT question, the dataset used...
By: Andrew Amann | CEO and co-founder
How are AI and machine learning changing risk management?
Business owners across the world were trained through experience how to identify risk to their operation. Whether a competitor released a new product, the economy trended in an opposite direction, or a natural disaster/pandemic occured, leaders used experience and training...
By: Andrew Amann | CEO and co-founder
Latest Articles
- Blockchain
Embracing Decentralization: Is Nostr the Answer to Social Network Concerns?
Social media plays a crucial role in the cultural, political, social, and economic aspects of our digitally-connected lives. Controversies like the Facebook–Cambridge Analytica data scandal – where personal data was...
By: Mensholong Lepcha | Editor
- Artificial Intelligence
AI Disruption in FinTech: Exploring the Impact of AI-powered Tools Like IndexGPT
Much like it has in various other sectors, artificial intelligence (AI) has changed the way the fintech industry operates. Here are a few examples: AI helps analyze large sets of...
By: Kaushik Pal | Contributor
- Cloud Computing
Edge Data Pipelines: Maximizing Performance for Next-Level Efficiency
In today's data-driven era, where organizations rely on data analysis and insights in real time, they always aim to improve how they process and handle data. To achieve this goal,...
By: Assad Abbas | Tenured Associate Professor of Computer Science at COMSATS University
- Cybersecurity
50+ Cybersecurity Statistics for 2023 You Need to Know – Where, Who & What is Targeted
Cybersecurity has become indispensable to our digital lives in our interconnected world. As technology advances and organizations increasingly rely on digital systems, protecting sensitive data, preserving customer trust, and ensuring...
By: Alan Draper | Editor-in-Chief
- Artificial Intelligence
Unleashing the Unknown: Fears Behind Artificial General Intelligence (AGI)
Artificial General Intelligence (AGI) is still a concept or, at most, at a nascent stage. Yet, there is already a lot of debate around it. What is AGI? AGI and...
By: Kaushik Pal | Contributor
- Artificial Intelligence
How Federated Learning Addresses Data Privacy Concerns in AI
Artificial Intelligence (AI) has already become very popular in fields like finance and E-commerce, as it can learn a lot from big datasets. To make AI work well, we need...
By: Dr. Tehseen Zia | Tenured Associate Professor at Comsats University Islamabad
- Artificial Intelligence
Here's Why Companies Are Restricting the Use of Generative AI Tools for Employees
Many organizations have prohibited employees from using generative AI tools on their proprietary systems. The move is mainly driven by concerns regarding the potential leakage of confidential data, as well...
By: Kaushik Pal | Contributor
- Data Management
Why Most Companies Fail To Successfully Implement Information Security & Compliance Features
Organizations implement information security (IS, InfoSec) and compliance features to keep their data safe. However, getting this done right is not an easy proposition, as advancements in technology constantly pose...
By: Linda Rosencrance | Contributor
- Cyber Threats
9 Benefits of Using XDR Systems To Secure Business Data
What are XDR systems? Extended detection and response (XDR) systems collect and combine data from multiple security layers, including servers, clouds, networks, and endpoints, across organizations' IT environments so they...
By: Linda Rosencrance | Contributor
- Cloud Computing
Modernizing Data Governance: Enhance Quality & Control in Cloud
In the modern digital era, data quality appears to be a critical factor for the success of organizations. Due to the unprecedented growth of volumes of data across the systems...
By: Assad Abbas | Tenured Associate Professor of Computer Science at COMSATS University
- Artificial Intelligence
Can Quantum Computing Impact the Applications of Artificial Intelligence?
Quantum computing, a groundbreaking field that harnesses the principles of quantum mechanics to process information, holds immense potential to revolutionize the world of technology and science. By leveraging the extraordinary...
By: Kaushik Pal | Contributor
- Artificial Intelligence
Machine Learning in Business: How Are Companies Leveraging AI for Growth?
With an extraordinary ability to analyze vast amounts of data and gain insights from the data, machine learning has become a vital technology for the business world. Businesses are employing...
By: Dr. Tehseen Zia | Tenured Associate Professor at Comsats University Islamabad
Latest Q&As
- What is inductive bias in machine learning?
By: Dr. Tehseen Zia | Tenured Associate Professor at Comsats University Islamabad
- How can bias be detected in machine learning?
By: Andrew Amann | CEO and co-founder
- How are AI and machine learning changing risk management?
By: Andrew Amann | CEO and co-founder
- How are talent demands changing after the 'Great Resignation'?
By: Greg Sloan | CEO and co-founder
- What's best, batch processing or streaming?
By: Lior Gavish | Chief Technology Officer
Meet Our Experts
Lior Gavish
Lior Gavish is the CTO and co-founder of data reliability company Monte Carlo and the creator of the industry’s first end-to-end data observability platform.
Maxim Melamedov
Maxim Melamedov is the CEO and co-founder of Zesty, an automated cloud optimization platform.
Pavel Khrulev
Pavel Khrulev is a solutions architect at DataArt specializing in cloud architecture.