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Tag: Data Science

Heard on the Street – 3/28/2024
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Building Ethical AI Starts with the Data Team – Here’s Why
When it comes to the technology race, moving quickly has always been the hallmark of future success. Unfortunately, moving too quickly also means we can risk overlooking the hazards waiting […] The post Building Ethical AI Starts with the Data Team – Here’s Why appeared first on Datafloq.
Power of a Predictive Model for Ames, Iowa Housing
With constant changes in the economy, finding an appropriately priced house is becoming more and more challenging. What model is used to price housing? ... The post Power of a Predictive Model for Ames, Iowa Housing first appeared on Data Science Blog.
Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance
Newest MLPerf results for Intel Gaudi 2 accelerator and 5th Gen Intel Xeon demonstrate how Intel is raising the bar for generative AI performance across its portfolio and with its ecosystem partners.
Navigating the IoT Landscape: The Role of Data Mapping in IoT Ecosystems
The Internet of Things (IoT) has revolutionized how devices communicate and interact, generating massive amounts of data. As IoT ecosystems continue to expand, the need for efficient data management becomes paramount. In this comprehensive article, we delve into the significance of data mapping in IoT environments. We will Explore its …
MongoDB Big Data Industry Predictions for 2024
Our friends over at MongoDB have prepared a special set of compelling technology predictions for the year ahead. MongoDB team’s predictions for the upcoming year cover topics including AI, diversity in tech, security, cloud, and more..
Beyond Tech Hype: A Practical Guide to Harnessing LLMs for Positive Change
In this contributed article, Dr. Ivan Yamshchikov who leads the Data Advocates team at Toloka believes that whether it's breaking down language silos, aiding education in underserved regions, or facilitating cross-cultural communication, LLMs have altered the way we interact with information –enhance human well-being by improving healthcare, education, and social …
What is Lambda Architecture?
Start writing here...Lambda architecture is a way of processing massive quantities of data (i.e “Big Data”) that provides access to batch processing and stream processing methods with hybrid...
Open Letter to Peru: Control Your AI Future!
I spent a fabulous week in Peru, keynoting the 2024 Data & AI Summit, lecturing at the University of Technology and Engineering (UTEC), and meeting many marvelous folks curious to learn about the role that AI can play in their personal and professional lives. This journey has motivated me to …
Video Highlights: Open-Source LLM Libraries and Techniques — with Dr. Sebastian Raschka
In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with industry luminary Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities …
The Essential Role of Clean Data in Unleashing the Power of AI
In this contributed article, Stephanie Wong, Director of Data and Technology Consulting at DataGPT, highlights how in the fast-paced world of business, the pursuit of immediate growth can often overshadow the essential task of maintaining clean, consolidated data sets. With AI technology, the importance of data hygiene becomes even more …
AWS and NVIDIA Extend Collaboration to Advance Generative AI Innovation
GTC—Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and NVIDIA (NASDAQ: NVDA) today announced that the new NVIDIA Blackwell GPU platform—unveiled by NVIDIA at GTC 2024—is coming to AWS. AWS will offer the NVIDIA GB200 Grace Blackwell Superchip and B100 Tensor Core GPUs, extending the companies’ longstanding strategic collaboration …
Kinetica Delivers Real-Time Vector Similarity Search
Kinetica, the real-time GPU-accelerated database for analytics and generative AI, unveiled at NVIDIA GTC its real-time vector similarity search engine that can ingest vector embeddings 5X faster than the previous market leader, based on the popular VectorDBBench benchmark.
Heard on the Street – 3/21/2024
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Cloudera and NVIDIA Collaborate to Expand Generative AI Capabilities with NVIDIA Microservices
Cloudera, the data company for trusted enterprise AI, today announced its expanded collaboration with NVIDIA. Cloudera Powered by NVIDIA will integrate enterprise-grade NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform, into Cloudera Machine Learning, a Cloudera Data Platform service for AI/ML workflows, to deliver fast, secure, and …
DDN AI400X2 Turbo Appliance Accelerates Gen AI and Inference for Data Center and Cloud by 10x
DDN®, a global leader in artificial intelligence (AI) and multi-cloud data management solutions, announced the latest addition to its powerful A3I® solutions, the DDN AI400X2 Turbo. 30% more powerful than the AI400X2, the previous industry performance leader, the AI400X2 Turbo boasts faster performance and expanded connectivity options.
Unfolding Data Stories: From First Glance to In-Depth Analysis
The path to uncovering meaningful insights often starts with a single step: looking at the data before asking questions. This journey through the Ames Housing dataset is more than an exploration; it’s a narrative about the hidden stories within numbers, waiting to be told. Through a “Data First Approach,” we …
What is the significance of color in data visualization?
Colors not only make things beautiful around us, but they are also an effective method for describing something. People find psychological associations with color. For example, it is said that red signifies power, love, and anger. Blue denotes calmness and logic. Other shades of primary colors convey different meanings and …