KDnuggets
SEPTEMBER 27, 2024
Large language models (LLMs) have transformed, and continue to transform, the AI and machine learning landscape, offering powerful tools to improve workflows and boost productivity for a wide array of domains. I work with LLMs a lot, and have tried out all sorts of tools that help take advantage of the models and their potential.
Cloudera
SEPTEMBER 27, 2024
Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?
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KDnuggets
SEPTEMBER 27, 2024
While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.
Confluent
SEPTEMBER 27, 2024
Announcing the ability to create and manage Confluent resources, incl. topics, clusters, environments, and connectors—directly in the Azure portal itself (preview).
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
KDnuggets
SEPTEMBER 27, 2024
One of the major platforms that the majority of us scope when we are looking to take up a new course is the popular learning platform Coursera. From free courses to paid certification and online degrees, Coursera is a well-known learning platform for many people around the world, regardless of their background. If you’re.
Striim
SEPTEMBER 27, 2024
Can AI really make your data analysis as easy as talking to a friend? Join us for an enlightening conversation with Ethan Ding, the co-founder and CEO of TextQL, as he shares his journey from Berkeley graduate to pioneering the text-to-SQL technology that’s transforming how businesses interact with their data. Discover how natural language queries are breaking down barriers, making data analysis accessible to everyone, regardless of technical skill.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
RandomTrees
SEPTEMBER 27, 2024
What is Microsoft Fabric? A cloud-based software as a service (SaaS) called Microsoft Fabric combines several data and analytics technologies that businesses require. Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.
Hevo
SEPTEMBER 27, 2024
In the data engineering industry, managing your data is critical for driving business. Data is gathered from various sources in all shapes and forms, and without the right set of tools, it is impossible to use this data for meaning analysis. If you work with a cloud environment, you must have heard of Microsoft Azure.
phData: Data Engineering
SEPTEMBER 27, 2024
Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? Yeah, that one. Well, here’s the kicker: we’ve been doing it wrong. Or at least, not entirely right. For years, we’ve been obsessed with creating these grand, top-down customer data models.
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