Tag: Big data
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Rapid progress in AI research and development faces hurdles
Posted on June 24, 2024, Level beginner Resource Length short
Major Chinese tech companies last week announced extensive price cuts for their large language model (LLM) products used for generative artificial intelligence, a move that experts say is tipped to speed up the application of AI models in the domestic market and in research. By Amber Wang.
Tags ai analytics big-data cio
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Big data strategies
Posted on June 16, 2024, Level beginner Resource Length short
Do I have “big data”? Oddly, this is not actually a straightforward question for two reasons. By @practicaldatascience.org.
Tags analytics big-data app-development management cio how-to
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Everything Apple Intelligence will do for you (so far)
Posted on June 14, 2024, Level beginner Resource Length medium
While the arrangement between OpenAI and Apple is attracting a lot of attention, Apple has put together a sizable number of its own large language model (LLM) tools that will run on a compatible device or in its secure cloud, Private Cloud Compute. By Jonny Evans.n.
Tags ai app-development big-data data-science robotics
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Big data statistics 2023: How much data is in the world?
Posted on June 6, 2024, Level beginner Resource Length medium
You've probably noticed that the term "big data" is frequently used these days. That's because big data is a major player in the digital age. This term refers to complex and massive data sets that far exceed the potential of traditional data processing applications. By Ogi Djuraskovic.
Tags fintech app-development big-data data-science miscellaneous
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Unleashing the power of graph and vector databases in the age of generative AI
Posted on June 2, 2024, Level beginner Resource Length short
The rise of generative AI has transformed the landscape of data storage and analysis, but it's also showcasing the importance of key data management approaches, especially between graph and vector databases as powerful tools for this new era. Understanding the unique strengths and best practices of each technology is essential to help supercharge these proven machine learning techniques to maximize the potential gains from generative AI. By insidebigdata.com.
Tags database app-development ai big-data cio data-science
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Powering and cooling AI and accelerated computing in the data room
Posted on April 25, 2024, Level beginner Resource Length long
Artificial intelligence (AI) is here, and it is here to stay. "Every industry will become a technology industry," according to NVIDIA founder and CEO, Jensen Huang. The use cases for AI are virtually limitless, from breakthroughs in medicine to high-accuracy fraud prevention. AI is already transforming our lives just as it is transforming every single industry. It is also beginning to fundamentally transform data center infrastructure. By Anton Chuchkov, Brad Wilson.
Tags ai servers cloud miscellaneous big-data
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Scientists transform everyday materials into conductors for Quantum computers
Posted on March 23, 2024, Level beginner Resource Length short
Researchers at the University of California, Irvine and Los Alamos National Laboratory, publishing in the latest issue of Nature Communications, describe the discovery of a new method that transforms everyday materials like glass into materials scientists can use to make quantum computers. The advance will allow researchers to transform everyday materials into conductors for use in quantum computers. By technologynetworks.com.
Tags ai fintech servers cloud miscellaneous big-data software-architecture
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How IBM is helping accelerate AI adoption and application centric connectivity
Posted on March 19, 2024, Level beginner Resource Length short
Outside the glitz of new phones, connected cars and 5G with everything, there are some real challenges the industry must address. Top of mind for me are three key challenges, and opportunities, to which we must all pay attention, should we expect our industry to remain healthy. By Andrew Coward.
Tags ibm ai cio management big-data machine-learning
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Mastering Python for Data Science: Beyond the basics
Posted on March 18, 2024, Level beginner Resource Length medium
Python reigns supreme in the data science world, yet many aspiring (and even veteran) data scientists only scratch the surface of its true capabilities. To truly master data analysis with Python, you must venture beyond the basics and use advanced techniques tailored for efficient data manipulation, parallel processing, and leveraging specialized libraries. By Nahla Davies.
Tags python app-development web-development big-data machine-learning
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Business intelligence services: Navigating the future of data analytics
Posted on March 10, 2024, Level beginner Resource Length medium
How does a business make key decisions? In a business environment, decisions take place based on evidence and information derived through various operations. A company decides to expand its manufacturing facility to produce more goods when shifts in consumer demand indicate growth. By infomineo.com.
Tags learning analytics cio big-data
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Introducing WAP pattern support with Apache Iceberg
Posted on February 3, 2024, Level intermediate Resource Length long
If you're using SQLMesh alongside Apache Spark and Apache Iceberg, I have some exciting news for you! Starting from version 0.57.0, SQLMesh applies the Write-Audit-Publish (WAP) pattern when executing models using Apache Spark and the Apache Iceberg data format. The best part? No user action is required to enable this behavior - it's enabled by default. By Iaroslav Zeigerman.
Tags analytics big-data app-development apache devops
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FinOps sketchnotes: Introducing cloud FinOps
Posted on January 17, 2024, Level intermediate Resource Length medium
Transitioning to the cloud means more than just migrating your workloads or building innovative new apps. While it's a great first step for your organization, it's just the beginning. To truly maximize the value of your cloud investments requires a fundamental shift in mindset and culture to rethink how your organization operates when imbued with technology. By Eric Lam and Pathik Sharma.
Tags cloud gcp machine-learning big-data performance cio