As AI continues to drive innovations in customer experiences, the need for better data management systems has become more evident. One such system, vector databases, is gaining traction as a key enabler of generative AI in industries like travel. These databases are specifically designed to store and process high-dimensional data in the form of vectors, […]
An Appetite for AI: Trends and Predictions for 2025
As we begin 2025, artificial intelligence (AI) shows no signs of slowing down. It’s not only providing us with a glimpse into the future – but has become a force in reshaping our present in unimaginable ways. Whether it’s transforming how businesses operate or redefining our daily interactions, AI’s integration across various sectors suggests a […]
How GenAI will Establish a New Inclusive Data Culture in 2025
Generative AI (GenAI) is set to transform how businesses interact with data, fundamentally reshaping decision-making processes. By enabling capabilities such as natural language querying and intelligent data discovery, GenAI will empower non-technical users to access insights effortlessly. Better yet, this question-led approach will simplify data accessibility, democratize insights, and foster a more inclusive data culture. […]
Data Sips: Interview with InfoAdvisors’ Karen Lopez
Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The second episode of the series features Karen Lopez, senior project manager and architect at InfoAdvisors, chatting with host Steve MacLauchlan, head […]
Key Takeaways from the DGIQ East 2024 + AI Governance Conferences
There’s nothing quite like gathering with data professionals – friends old and new – at a DATAVERSITY conference. Last month’s event was particularly special, combining the well-established Data Governance & Information Quality (DGIQ) East Conference with the inaugural AI Governance Conference (AIGov). Adding to the excitement was the expanded Women in Data Management and Governance (WDMG) program. With so much packed […]
Transforming Conversations to Insights with AI in 2025
As we look forward to 2025, technology – AI in particular – will continue to drive conversations as leaders seek ways to generate impact and build an intelligence-driven ecosystem of insights. Daily human conversations, whether spoken, written or recorded, represent an invaluable source of data insights for businesses. These interactions can highlight customer concerns, preferences, […]
Data Modeling in Machine Learning Pipelines: Best Practices Using SQL and NoSQL Databases
Data, undoubtedly, is one of the most significant components making up a machine learning (ML) workflow, and due to this, data management is one of the most important factors in sustaining ML pipelines. An appropriate data model allows the respective data to be accessible all day long, operate at peak efficiency, and be adjusted to […]
Ask a Data Ethicist: What Is the Appropriate Etiquette When Using AI Tools?
Most of us understand how to behave in different social situations and interact with others in ways that are deemed acceptable. Yet, when we bring AI tools into the mix, we create the capacity for friction because the social norms for using these tools are not yet clear. Which raises this question … What is […]
How Data Will Reshape Industries in 2025
Data has become a driving force behind change and innovation in 2025, fundamentally altering how businesses operate. Across sectors, organizations are using advancements in artificial intelligence (AI), machine learning (ML), and data-sharing technologies to improve decision-making, foster collaboration, and uncover new opportunities. In the upcoming year, the focus is on making data more accessible, protecting […]
The Role of Reinforcement Learning in Enhancing LLM Performance
Large language models (LLMs) are the backbone of modern natural language processing. They predict words, craft sentences, and mimic human language at scale. But underneath their polished outputs lies a limitation: They only replicate patterns seen in their given or training data. What happens when we want LLMs to go beyond this – when they […]