How will data visualization evolve in the era of AI/ML? While AI is rapidly evolving, it is ironic that business users are still using “dumb” dashboards. The challenge is to move beyond these unintelligent dashboards to a genuinely transformative visual analytics solution that harnesses the power of AI/ML. While some vendors offer a ChatGPT-like querying […]
Data Product vs. Data as a Product (DaaP): Understanding the Difference
Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022. To address these data quality challenges, companies increasingly […]
ADV Webinar: AI Language Models for Enterprises
Download the slides here>> About the Webinar An AI language model is a type of artificial intelligence (AI) that is trained on a massive amount of text data. This data can include books, articles, code, and other types of text. Once trained, the AI language model can be used to generate text, translate languages, write […]
What Is a Data Fabric?
Data fabric is an innovative approach to data architecture, and simplifies data management. At its core, data fabric is built on the principle of unification. This standardization serves two purposes: It creates a single-entry point for data consumers, and it enables seamless access to information, regardless of where that data is stored, computed, or administered. These outcomes happen through data […]
EEDL Webinar: Analytic Translators – How Do They Fit in the Literacy Discussion?
Download the slides here>> About the Webinar There will be times when, despite efforts to increase literacy overall, there is a communication gap between those creating analytic output and those consuming it. Analytic translators are professionals who understand both analytic and business concepts and are trained in communication techniques that promote alignment. In this session, […]
Mind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team
… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “modernize analytics.” Let’s say that they even understand that just […]
AAA Webinar: AI and Data Management
Download the slides here>> About the Webinar In this webinar, we will dive deep into the unique challenges of managing the quality, security, and transparency of AI applications. We will also discuss how to use the power of AI to up-level your current data management practices. About the Speaker Nick White CEO and Founder, Data […]
3 Examples of LLM Use in Business Intelligence
Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines. LLMs represent a transformative leap in artificial […]
RWDG Webinar: The Data Scientist’s Role in Governance Success
Download the slides here>> About the Webinar Are you interested in exploring the critical intersection of Data Science and Data Governance? Are you struggling with how to describe the role of a data scientist specifically when it comes to their participation in your Data Governance program? This webinar will have the answers you are seeking. […]
ADV Webinar: Promising AI Use Cases for the Enterprise in 2024
Download the slides here>> About the Webinar Enterprises make use of AI to gain actionable analytics and intelligence from a universe of data sets. Harnessing artificial intelligence for the enterprise is a critical competitive advantage. Algorithms are becoming embedded in the fabric of the enterprise as well as all major software in use. Early adopters will […]