The modern business world runs on data, and there is no denying the importance of data-driven decision-making. However, the sheer amount of data generated in today’s world can be overwhelming, and not everyone has the technical skills or job description to make sense of it. This is where data democratization comes into play. The goal of building a strategy to
Every organization has unstructured data, which is often referred to as the “junk drawer” of data due to its different file formats, varying sizes, and lack of clear organization. For IT professionals, managing unstructured data is a significant challenge as it can be difficult to analyze, store, and gain a complete picture of it. In this article, we’ll explore why
As cybersecurity threats continue to evolve and become more sophisticated, there is growing concern that advances in artificial intelligence (AI) technologies will significantly lower the barrier to entry for cybercriminals. One technology that has recently emerged as a potential tool for cybercriminals is ChatGPT, an AI language model that can generate human-like responses to a variety of prompts. Impact on
Data and analytics have become the backbone of the enterprise decision-making process, and as a result, enterprise investments in data and analytics are on the rise. Many organizations now recognize that they must invest in data and analytics to remain competitive and make informed decisions based on real-time data. However, with this increased investment, comes a number of challenges that
With data becoming a central piece of modern business operations, the need for efficient and effective data management is at an all-time high. Managing the vast amounts of information your organization collects and stores requires more than traditional data management tools. Enter active metadata management, a method of data management that leverages automation technologies to ensure that metadata is processed
At its annual conference, Adobe Summit, Adobe announced a series of AI initiatives to inject more artificial intelligence into its creative products. Among these initiatives is a new tool called Firefly that will enable users to create images through text description input into the software. Adobe’s goal is to continue integrating generative AI capabilities into its services to help end-users
Google has announced that it is opening access to Bard, its experimental text-based service that allows users to collaborate with generative AI. Bard, a conversational AI chatbot, aims to emulate human-like conversations and generate realistic and helpful responses to user queries through natural language processing and machine learning techniques. The company has acknowledged that large language models (LLMs) may have
Artificial intelligence (AI) is acknowledged as a potent technology for businesses seeking to enhance their operations, decision-making, and customer experiences. Nevertheless, numerous organizations have found it difficult to obtain tangible value from their AI investments. To tackle this challenge, DataRobot, an AI platform provider, has unveiled its latest AI platform, version 9.0, which aims to help companies solve real-world business
Data modeling plays a crucial role in contemporary data management and analytics. This process involves creating a conceptual representation of data objects, relationships, and rules that form a company’s data architecture. It enables businesses to design and implement data architectures intentionally, leading to optimized performance and increased efficiency. Data modeling remains relevant and is still growing despite advancements in technology.
The way we work is changing drastically. With technology becoming more accessible and work being digitized and automated, more and more employees are opting to work remotely or in a hybrid fashion. This shift in the way we work has opened up numerous possibilities, from AI providing HR and IT answers on a 24/7 basis to virtual reality headsets enabling
Data pipelines are becoming an increasingly important tool for businesses that rely heavily on data. A data pipeline is a set of processes used to transfer data between computer systems, collecting, cleaning, transforming, and reshaping the data as it moves. Data pipelines are essential for any business that relies heavily on data, as they can help streamline and automate the
Microsoft Intune Suite is an all-encompassing endpoint management and security service that provides comprehensive protection to both cloud-connected and on-premises endpoints. The product is designed to give IT support teams the ability to identify and solve problems remotely on users’ desktops or mobile devices. It also provides endpoint data analysis to help IT administrators understand and adjust the user experience.
