As businesses increasingly rely on data to make decisions, it is becoming imperative that the data driving these decisions is trustworthy. This is where data lineage comes in. Data lineage can be described as a historical map of data’s journey within an organization. It tracks data from its origin to its final destination, capturing changes as the data is processed,
“Can machines be funny?” That’s a question that has been asked by many researchers exploring the field of computational humor. A recent study by researchers at Stanford University and Google Research set out to find the answer, taking a look at the humor-generating capabilities of ChatGPT, one of the largest language models in the world. ChatGPT is part of the
Data labeling has been critical in preparing data for machine learning and artificial intelligence. However, traditional data labeling methods can only go so far. That is why Snorkel AI is introducing new capabilities beyond data labeling. The new tools will help organizations curate and prepare data for generative AI, ensuring that the data is optimized for this subfield of AI.
VMware, a leading provider of virtualization and cloud computing software, has announced its latest enhancements to its Digital Employee Experience Management (DEX) solution. The Palo Alto-based company has been investing heavily in its DEX solution since its acquisition of Apteligent in 2017. The company’s latest announcement includes four unique enhancements to its DEX solution, aiming to further improve IT efficiency,
The rise of big data has led to an increase in demand for data analysts, scientists, and engineers. However, to effectively work with data, one has to choose the right programming language that suits their needs and expertise. In this article, we will discuss the best programming languages for data analysts, the most commonly used languages by data scientists, and
Artificial Intelligence (AI) has become an integral part of our daily lives, with its influence expanding rapidly in recent years. From various aspects of our work to our personal lives, AI is now present nearly everywhere we turn. As such, it’s crucial that we as humans ensure that these algorithms and machines function in a way that is ethical, empathetic,
The intersection of art and technology has given rise to a stunning new sculpture called “The Impossible Statue.” Created with the help of artificial intelligence (AI) and trained by a team of master sculptors, the artwork has sparked a debate about the role of AI in the art world and whether it can be considered true “art.” Description of the
We live in an era where data is king. Every day, we generate an enormous amount of data that can be utilized to derive valuable insights, information, and solutions. This is where the importance of data science comes in – a multidisciplinary field that blends statistics, mathematics, computer science, and domain knowledge. In this article, we’ll explore the significance of
Data Literacy is a crucial skill for any organization today, as it helps individuals and teams interpret, analyze, and use data effectively to make informed decisions. Leaders want “everyone, everywhere, and all at once” to become highly data-literate, demonstrating a high capability to read, work with, and analyze data. However, studies show that nearly 80% of people lack confidence in
The field of artificial intelligence (AI) is rapidly evolving and constantly expanding. An online master’s degree program in AI can help professionals stay ahead of the curve and enjoy professional advancement. Theoretical Principles and Practical Expertise in AI The online master’s degree program in AI combines theoretical principles with practical expertise in artificial intelligence that can be applied to real-world
With the rapid advancement of technology, data science and robotics are evolving at an unprecedented pace. The impact of these two subjects is being felt across different industries, ranging from healthcare to finance, entertainment, and beyond. In this article, we will explore the implications of data science and robotics and their importance in the future. The Importance of Data Science
In today’s digital landscape, data privacy is more important than ever. With the ever-increasing amount of data that companies collect and store, the risk of sensitive information falling into the wrong hands has never been higher. As such, businesses need to take concrete steps to protect themselves from malicious actors who aim to exploit cybersecurity vulnerabilities and gain access to
