The AI revolution isn’t coming: It’s here, and organizational governance structures are woefully unprepared. While 64% of businesses expect AI to increase productivity, most AI models fail. This result highlights a stark gap between potential and reality. Getting timely and usable data sets for AI training and analysis is crucial for becoming data-driven. At the heart of this multi-faceted challenge lies […]
AI Governance in Action: Practical Insights from a Data-Driven Enterprise
As AI adoption skyrockets, how can organizations harness its power responsibly? AI promises enhanced decision-making and customer interactions, but it comes with ethical, compliance, and infrastructure risks. Consequently, AI governance is crucial to address these risks. In response, many businesses turn to their established data governance (DG), aiming to leverage existing controls and procedures. However, AI introduces […]
Large Language Models 101
Large language models (LLMs), built on the transformer architecture of deep learning, are designed to process very high volumes of textual data at a high speed. LLMs also have the power to generate new text and interact with human language innovatively. Training on different types of data, including articles, books, periodicals, and websites, LLMs develop […]
Generative AI vs. Traditional AI
Traditional AI, also known as “classical AI,” is known for being rule-based and dependent on stringent programming for its intended output. These techniques revolve around the manipulation of symbols and logical reasoning to perform tasks. Key methodologies include rule-based systems, where knowledge is encoded in the form of “if-then” statements, enabling machines to make decisions […]
Women in Data: Meet Traceable Founding Engineer Prerana Singhal
The latest installment in our Q&A series with women leaders in data features Prerana Singhal, founding engineer at Traceable. (Read our previous Q&A here.) Prerana Singhal loves a good puzzle, so it’s no surprise that she began her career as a coder, with an interest in deep learning and natural language processing. A founding engineer at Traceable, […]
Fundamentals of Descriptive Analytics
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 Google Analytics tools. A web server’s summarized performance reports may help the user analyze […]
Data Governance and AI Governance: Where Do They Intersect?
Artificial intelligence (AI) is transforming businesses and industries worldwide with new data products and services. A recent Stanford University AI Index Report found that about 55% of companies have already implemented AI in at least one business unit or function. To get the best results, organizations need to connect AI and its data activity with their business strategy. So, […]
Women in Data: Meet BetterAI CEO Angel Vossough
The latest installment in our Q&A series with women leaders in data features Angel Vossough, CEO and co-founder of BetterAI. (Read our previous Q&A here.) Angel Vossough spent over a decade working as a network engineer before she founded her first startup, a data-driven company that helped female professionals excel in their careers. During COVID-19, Vossough […]
Data Ethics 101
The term “data ethics” refers to a set of guidelines that ensure data collection, use, and management processes respect privacy and security while safeguarding fairness. This includes considering the implications of data collection methods, the transparency of algorithms used to process information, and how decisions based on data analysis might affect individuals and communities. What […]
Knowledge Graphs: Context, Compliance, and Connections
“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]