The New York edition of Data Science Salon offered a mix of tech and business talks on AI and finance…
Virtual communities make a difference, especially during a pandemic where people are unable…
In the realm of data analysis, there’s a powerful duo of statistical techniques…
Over the last decade, the Data Science Salon has been committed to fostering…
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As artificial intelligence continues to expand, the importance of effectively communicating with large language models (LLMs) is crucial…
Emerging retrieval-augmented generation (RAG)-powered enterprise conversational QA applications leverage massive internal knowledge bases…
Generative AI is a subset of artificial intelligence that focuses on creating new content. In the enterprise, there are several key opportunities to leverage…
Evangelize the DSS brand among your channels in return for exclusive benefits such as complimentary conference passes and free access to the DSS Insider video repository. Seize the opportunity to foster the growth of the data science community in your city, all while establishing valuable connections with industry thought leaders.
Modern Artificial Intelligence is an umbrella term that includes the Machine Learning techniques and tools that enable computers to produce desired outcomes based on large quantities of data…
Fraud has been a persistent threat to commerce and businesses, significantly undermining their financial health and adversely affecting their bottomline…
The universe of machine learning (ML) and its applications is expanding at an ever-increasing rate and there is hardly any industry that is not leveraging the…
Large Language Models (LLMs) are revolutionizing the AI domain at an incredible pace. The diffusion of such powerful models is happening…
Large Language Models (LLMs) have rapidly evolved, building on decades of research and advances in computing power and data availability. Most LLMs consist of billions of parameters…
Jörg Schad, CTO at ArangoDB, illustrates how the fusion of Large Language Models and Knowledge Graphs creates a potent synergy, bypassing the need for specialist teams to manage database queries…
Companies in the healthcare industry utilize their large amounts of data in combination with natural language processing (NLP) techniques to enhance personalized care, identify high risk…
This post is adapted from a talk by Charles Alcorn – Head of Data Science at Roche Molecular Systems and describes medical content management…
AI is leading the charge in the age of data-driven technology, transforming business and daily life. But this development comes with a price, frequently at the sacrifice…
The days of walking miles up and down shopping streets to find an appropriate dress are long gone. Online services like Stitch Fix leverage data and algorithms to help customers find…
As technology continues to advance, AI has become an integral part of the e-commerce industry. However, there are several challenges that AI faces in this domain. One of the major challenges is ensuring personalized and accurate…
Comet’s annual Convergence conference gathers AI and data-science practitioners around the latest industry trends. The Convergence is one of Data Science Salon’s partner events, where…
Data is now essential for organizations, driving their operations as a lifeblood and fueling Artificial Intelligence (AI). The amount of data produced daily is…
At times it may seem that AI and robots are poised to make us humans obsolete. But the opposite is happening: every advance in technology makes humans more relevant. To be precise…
Presented by Fatih Akici – Manager, Risk Analytics and Data Science at Populus Financial Group during Data Science Salon Austin, you can watch the full talk here…
Financial technologies powered by AI are the agents of the new era in the financial industry. After being a plot in science fiction, it has now become reality and a power that drives innovation, efficiency, and customer engagement. Below are the...
From using LLMs to judge other LLMs to harnessing unstructured data, from building better recommendation systems to anxiety management—Data Science Salon Austin came with groundbreaking speeches, inspiring panels, and a startup showcase. The Data...
In our previous blog on regression analysis, we have discussed how machine learning models can predict continuous outcomes, such as house prices or sales revenue, based on input data. While regression models are powerful, their success depends...
Regression is one of the most important techniques in predictive modelling. It is usually the gateway into the world of data science and machine learning, offering a perfect balance of simplicity and power. Whether you're forecasting next month's...
As artificial intelligence continues to expand, the importance of effectively communicating with large language models (LLMs) is crucial. Whether you are a data scientist, business user, AI developer, or engineer, structuring and ...