In the era of data-driven technologies, artificial intelligence (AI) and machine learning (ML) platforms depend on vast amounts of reliable and consistent data. The need for a secure, unalterable data foundation is paramount, and immutable storage has emerged as a vital tool to meet this demand. This article explores how immutable storage integrates with AI […]
Developing an Effective AI Strategy
The process of building a successful AI strategy has changed. In November of 2022, the evolution of artificial intelligence took a dramatic leap forward: OpenAI developed a more evolved, smarter chatbot called ChatGPT. By combining generative AI with large language models and highly functional algorithms, the company developed a chatbot supporting a new level of […]
Why Master Data Management (MDM) and AI Go Hand in Hand
Organizations have long struggled with the “eternal data problem” – that is, how to collect, store, and manage the massive amount of data their businesses generate. This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […]
AI Personalization: Challenges and Practical Strategies for Startups
Personalization is an effective way to drive revenue growth, increase customer engagement, and enhance customer satisfaction. According to a survey by Accenture, 91% of consumers are more likely to shop with brands that recognize, remember, and provide relevant offers and recommendations. In recent years, businesses have recognized the value of personalization in improving customer experience by leveraging […]
Top Ethical Issues with AI and Machine Learning
Artificial intelligence (AI) systems possess the ability to autonomously learn and make decisions, mimicking human intelligence in ways that were once considered purely science fiction. However, this remarkable progress raises important questions about the ethical issues associated with using AI and relying on machines to perform tasks that were traditionally reserved for humans. One of the top […]
Navigating AI and Its Impact on Business and Society
Artificial intelligence (AI) is no longer a distant concept – it’s already here, and it’s reshaping the way businesses and society operate. This presents both challenges and opportunities, and as a business leader, your ability to keep up with the intricate world of emerging technologies such as artificial intelligence is crucial. Preparation and execution are […]
Digital Transformation 101
Digital transformation is a digital technology-aided transformation of the fundamental dynamics of a business’s operations. It enables organizations to streamline processes, enhance collaboration, and leverage data analytics for informed decision-making. To comprehend this transformative process, it is crucial to explore the key technological advancements and disruptions that have catalyzed this shift. One of the most […]
The Cool Kids Corner: Master Data Management (MDM) in the Spotlight
Hello! I’m Mark Horseman and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. (Read last month’s column here.) This month we’re talking about the current demand for master data management (MDM). What is MDM? Why is it needed now […]
Five Trends Shaping Enterprise Data Labeling for LLM Development
In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices. Crafting data repositories for LLMs requires diverse and domain-specific […]
Data Engineer vs. Data Analyst
In today’s data-driven world, two data professional roles that play crucial roles are data engineers and data analysts. Both these professionals aid the process of extracting data-driven insights, but they possess distinct skill sets and responsibilities. Below are some key facts about educational backgrounds and job roles of the data engineer vs. data analyst, as well as the […]