In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from …
I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Part 1 of this article …
In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success. There is a symbiosis between sophisticated data architectures and operational agility that …
A large language model (LLM) is a type of artificial intelligence (AI) solution that can recognize and generate new content or text from existing content. It is estimated that by 2025, 50% of digital work will be automated through these LLM models. At …
Business intelligence (BI) has historically been a platform for data and business analysts who build dashboards for executives to make decisions. But the generative AI (GenAI) explosion over the past 18 months has changed the game. People everywhere have …
The term “data architecture” refers to a collection of implementable standards and protocols that govern the collection, storage, preparation, sharing, and distribution of data. This predefined set of standards and protocols is designed to enhance the …
OpenAI launched generative AI (GenAI) into the mainstream last year, and we haven’t stopped talking about it since – and for good reason. When done right, its benefits are indisputable, saving businesses time, money, and resources. Industries from customer …
About the Webinar Experts differ in their opinions about the levels of literacy required by workers – from basic terminology to advanced analytic skills for everyone. Some feel that different jobs require different levels of literacy, others believe that …
In today’s digital era, cloud infrastructure has become the backbone of many organizations, providing the necessary resources to support diverse applications and services. The increasing complexity and scale of cloud environments have necessitated the …
It is crucial to stress the need to protect data in customer relationship management (CRM) systems because data breaches and cyber threats are becoming more sophisticated. The security measures are inadequate now; companies must constantly seek creative …
Metadata is of critical interest in today’s data-driven business environment, and there is a growing awareness of the need for both business and technical users to embrace it, says Donna Burbank, Managing Director of Global Data Strategy and author of “ …
In today’s data-driven landscape, organizations face the challenge of integrating diverse data sources efficiently. Whether due to mergers and acquisitions (M&A) or the need for advanced insights, a robust data platform with streamlined data operations …
Predictive analytics is a branch of analytics that identifies the likelihood of future outcomes based on historical data. The goal is to provide the best assessment of what will happen in the future. Basically, predictive analytics answers the question “ …
The insurance industry is undergoing a revolution, mainly driven by the application of advanced emerging technologies. The application and installation of new technologies enable a better future for our industry, where customers will receive maximum …
Data ethics ensures that businesses handle data – beginning with its acquisition and ending with its distribution – with full attention to individual rights, privacy, and consent. Moreover, ethical decision-making in businesses has to strike a balance …
Companies are investing heavily in AI projects as they see huge potential in generative AI. Consultancies have predicted opportunities to reduce costs and improve revenues through deploying generative AI – for example, McKinsey predicts that generative AI …
Recent years reflect medical device manufacturers shifting value from just hardware, or even hardware and software. Hardware, software, and data are all now being monetized in the era of the Internet of Things. Data-rich IoT medical devices – pumps, …
“Advanced analytics” has been the new buzzword on every organization’s mind for the past several years. Recent advancements in machine learning have promised to optimize every arm of an organization – from marketing and sales to supply-chain operations. …
OpenAI’s ChatGPT release less than two years ago launched generative AI (GenAI) into the mainstream, with both enterprises and consumers discovering new ways to use it every day. For organizations, it’s unlocking opportunities to deliver more exceptional …
“The main purpose of a data model is actually not to design a database – it’s to describe a business,” said Christopher Bradley, information strategist at DMA Advisors. Bradley spoke at a recent Data Architecture Online conference about the purpose of Data …
