insideBIGDATA
JULY 26, 2024
In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations. These days, AI is disrupting the entire banking sector in several ways.
Data Science Dojo
JULY 24, 2024
In the rapidly evolving landscape of artificial intelligence, open-source large language models (LLMs) are emerging as pivotal tools for democratizing AI technology and fostering innovation. These models offer unparalleled accessibility, allowing researchers, developers, and organizations to train, fine-tune, and deploy sophisticated AI systems without the constraints imposed by proprietary solutions.
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Analytics Vidhya
JULY 21, 2024
Introduction Having the correct tools and platforms is crucial for learning and innovation in the constantly changing field of artificial intelligence. AI playgrounds offer a great opportunity to test advanced models and technologies without needing a lot of money. If you’re a scientist, creator, or fan, these play areas offer various features for different purposes. […] The post Top 10 Free AI Playgrounds For You to Try in 2024 appeared first on Analytics Vidhya.
KDnuggets
JULY 24, 2024
From the soft tools to the hard tools, these are what make a data scientist successful.
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
insideBIGDATA
JULY 24, 2024
In this contributed article, Subbiah Muthiah, CTO of Emerging Technologies at Qualitest, takes a deep dive into how raw data can throw specialized AI into disarray. While raw data has its uses, properly processed data is vital to the success of niche AI. Industries such as medical, legal, and pharma require data that is contextualized, categorized, and verified.
databricks
JULY 23, 2024
We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
KDnuggets
JULY 26, 2024
Discover how Bayesian thinking transforms decision-making with its unique approach to updating initial beliefs with new evidence.
insideBIGDATA
JULY 23, 2024
GenAI investment is expected to grow 30%, with leaders from companies with high GenAI maturity anticipating their return on investment will be three-times higher over the next three years than that of companies with little or no adoption of the technology, according to a new report released by Boston Consulting Group (BCG).
databricks
JULY 22, 2024
Evaluating long-form LLM outputs quickly and accurately is critical for rapid AI development. As a result, many developers wish to deploy LLM-as-judge methods.
Analytics Vidhya
JULY 22, 2024
Introduction Generative AI has been the hottest topic of the 21st century, revolutionizing industries with its ability to create text, images, music, and even entire virtual worlds, all with the touch of a button. From video editing to music creation, GenAI rules every sector. This technology transforms fields like art and entertainment, significantly impacting healthcare, […] The post Free Generative AI Course: Pioneering the Future of Creativity and Innovation appeared first on Analytics
Speaker: Kenten Danas, Senior Manager, Developer Relations
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
Machine Learning Mastery
JULY 23, 2024
Machine learning presents transformative opportunities for businesses and organizations across various industries. From improving customer experiences to optimizing operations and driving innovation, the applications of machine learning are vast. However, adopting machine learning solutions is not without challenges. These challenges span across data quality, technical complexities, infrastructure requirements, and cost constraints amongst others.
insideBIGDATA
JULY 21, 2024
The HPC User Forum, established in 1999 to promote the health of the global HPC industry and address issues of common concern to users, has opened registration for its upcoming meeting, September 4-5, 2024, at Argonne National Laboratory in Lemont, Illinois.
databricks
JULY 22, 2024
Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.
Analytics Vidhya
JULY 24, 2024
Introduction Search engine optimization (SEO) has been impacted by the significant changes brought about by AI growth in many different areas. As businesses strive to improve their online presence and achieve higher search engine rankings, AI emerges as a game-changer, offering innovative solutions to streamline and enhance SEO practices. From automating mundane tasks to providing […] The post Top 11 AI Tools to Replace SEO Agencies appeared first on Analytics Vidhya.
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Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
KDnuggets
JULY 23, 2024
Tired of staring at bland dataframes? Discover how conditional formatting in Pandas can transform your data visualization experience!
insideBIGDATA
JULY 22, 2024
The healthcare insurance sector in the US is struggling to make critical decisions due to a severe lack of accessibility, context and trust in their data. That is according to a new international study by ActiveOps, a leading provider of AI-powered decision intelligence for service operations.
databricks
JULY 23, 2024
In this blog, we are excited to share Databricks's journey in migrating to Unity Catalog for enhanced data governance. We'll discuss our high-level strategy and the tools we developed to facilitate the migration. Our goal is to highlight the benefits of Unity Catalog and make you feel confident about transitioning to it.
Analytics Vidhya
JULY 21, 2024
Introduction In data science, having the ability to derive meaningful insights from data is a crucial skill. A fundamental understanding of statistical tests is necessary to derive insights from any data. These tests allow data scientists to validate hypotheses, compare groups, identify relationships, and make predictions with confidence. Whether you’re analyzing customer behavior, optimizing algorithms, […] The post 5 Statistical Tests Every Data Scientist Should Know appeared first
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Machine Learning Mastery
JULY 25, 2024
AutoML is a tool designed for both technical and non-technical experts. It simplifies the process of training machine learning models. All you have to do is provide it with the dataset, and in return, it will provide you with the best-performing model for your use case. You don’t have to code for long hours or […] The post Introduction to AutoML: Automating Machine Learning Workflows appeared first on MachineLearningMastery.com.
insideBIGDATA
JULY 25, 2024
Despite growing interest and enthusiasm for Generative AI (GenAI), significant challenges are emerging that threaten the success of GenAI projects, according to a co-sponsored research report from Enterprise Strategy Group (ESG) and Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501).
databricks
JULY 24, 2024
Dataricks is thrilled to announce the General Availability (GA) of Primary Key (PK) and Foreign Key (FK) constraints, starting in Databricks Runtime 15.2.
Analytics Vidhya
JULY 22, 2024
Introduction Running large language models (LLMs) locally can be a game-changer, whether you’re experimenting with AI or building advanced applications. But let’s be honest—setting up your environment and getting these models to run smoothly on your machine can be a real headache. Enter Ollama, the platform that makes working with open-source LLMs a breeze.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
KDnuggets
JULY 24, 2024
Setup the environment, load the data, perform data analysis and visualization, and create the data pipeline all using Julia programming language.
Adrian Bridgwater for Forbes
JULY 23, 2024
The biggest challenge in adopting artificial intelligence in the enterprise today is the lack of practices and tools for data curation and generative AI evaluation that can ensure the quality of results
databricks
JULY 26, 2024
Introduction Time series forecasting serves as the foundation for inventory and demand management in most enterprises. Using data from past periods along with.
Analytics Vidhya
JULY 25, 2024
Introduction In the not-so-distant past, the idea of having a personal AI assistant felt like something out of a sci-fi movie. Picture a tech-savvy inventor named Alex, who dreamed of having a smart companion to answer questions and provide insights, without relying on the cloud or third-party servers. With advancements in small language models (SLMs), […] The post How to Build Your Personal AI Assistant with Huggingface SmolLM?
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
KDnuggets
JULY 23, 2024
This collection of tutorials from our sister site Statology center on data visualization. Learn more about visualizing your data right here.
Machine Learning Mastery
JULY 22, 2024
The large Language Model, or LLM, has revolutionized how people work. By helping users generate the answer from a text prompt, LLM can do many things, such as answering questions, summarizing, planning events, and more. However, there are times when the output from LLM is not up to our standard. For example, the text generated […] The post Understanding LangChain LLM Output Parser appeared first on MachineLearningMastery.com.
databricks
JULY 23, 2024
The communications industry is experiencing immense change due to rapid technological advancements and evolving market trends. Communications service providers (CSP) build various solutions.
Analytics Vidhya
JULY 25, 2024
Introduction Try to think of yourself as a student entering the first day at a new school. You are learning with enthusiasm but there are so many things which are new to you and this easily leads to the mistakes. The AI same is somewhat like that for a beginner – the world is interesting […] The post Avoid These 5 Common Mistakes in AI that Every Novice Makes appeared first on Analytics Vidhya.
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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
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