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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 […]

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 […]

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, […]

Navigating Data Readiness for Generative AI

Just about everyone in tech agrees that generative AI is poised to hit the business world like a tidal wave. There’s less agreement about when the transformation will occur, and how generative AI will be harnessed to boost profitability. A survey of chief data officers conducted in the second half of 2023 by Amazon Web Services (AWS) found that […]

The Role of AI in Developing Green Data Centers

In an era where sustainability is the focus, green data centers stand as pillars of strength behind the mass protest against environmental degradation. These facilities, designed for efficiency and a minimal ecological footprint, reduce energy consumption and minimize greenhouse gas emissions. By harnessing renewable energy sources, advanced cooling technologies, and optimized server utilization, green data centers […]

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