Srividya Sridharan
SEPTEMBER 10, 2024
Data and AI leaders today must create business value from trusted data, build the foundation to scale AI, and cultivate a data-driven culture. To help them meet these challenges, Forrester is launching Forrester Decisions for Data, AI & Analytics. Learn more about this new service and how it can benefit your organization.
Analytics Vidhya
SEPTEMBER 30, 2024
Introduction Artificial Intelligence has been cementing its position in workplaces over the past couple of years, with scientists spending heavily on AI research and improving it daily. AI is everywhere, from simple tasks like virtual chatbots to complex tasks like cancer detection. It has even recently replaced several jobs in the industry. This inclusion of […] The post Key Challenges and Limitations in AI-Language Models appeared first on Analytics Vidhya.
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O'Reilly on Data
SEPTEMBER 17, 2024
AI is everywhere—we’re in a middle of a technology shift that’s as big (and possibly bigger) than the arrival of the web in the 1990s. Even though ChatGPT appeared almost two years ago, we still feel unprepared: we read that AI will change every job and we don’t know what that means or how to prepare. Here are a few ideas about preparing for that shift.
David Menninger's Analyst Perspectives
SEPTEMBER 24, 2024
As I’ve written recently , artificial intelligence governance is a concern for many enterprises. In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. Nearly a third (32%) identified performance and quality (e.g., erroneous results), and an equal amount (32%) mentioned legal risk.
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DataKitchen
SEPTEMBER 18, 2024
A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. According to DataKitchen’s 2024 market research, conducted with over three dozen data quality leaders, the complexity of data quality problems stems from the diverse nature of data sources, the increasing scale of data, and the fragmented nature of data systems.
KDnuggets
SEPTEMBER 12, 2024
Develop unique yet standing-out data science projects to improve your data portfolio.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
SEPTEMBER 13, 2024
Introduction OpenAI has released its new model based on the much-anticipated “strawberry” architecture. This innovative model, known as o1, enhances reasoning capabilities, allowing it to think through problems more effectively before providing answers. As a ChatGPT Plus user, I had the opportunity to explore this new model firsthand. I’m excited to share my insights on […] The post GPT-4o vs OpenAI o1: Is the New OpenAI Model Worth the Hype?
O'Reilly on Data
SEPTEMBER 10, 2024
A recent article in Computerworld argued that the output from generative AI systems, like GPT and Gemini, isn’t as good as it used to be. It isn’t the first time I’ve heard this complaint, though I don’t know how widely held that opinion is. But I wonder: is it correct? And why? I think a few things are happening in the AI world. First, developers of AI systems are trying to improve the output of their systems.
David Menninger's Analyst Perspectives
SEPTEMBER 24, 2024
As I’ve written recently , artificial intelligence governance is a concern for many enterprises. In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. Nearly a third (32%) identified performance and quality (e.g., erroneous results), and an equal amount (32%) mentioned legal risk.
DataKitchen
SEPTEMBER 9, 2024
From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts Most data teams work with a dozen or a hundred pipelines in production. What do you do when you have thousands of data pipelines in production? How do you understand what is happening to those pipelines? Is there a way that you can visualize what is happening in production quickly and easily?
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
KDnuggets
SEPTEMBER 26, 2024
Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.
CIO Business Intelligence
SEPTEMBER 17, 2024
CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards. Moreover, undertaking digital transformation and technology modernization programs without an architect can lead to delays, technical debt , higher costs, and security vulnerabilities.
Analytics Vidhya
SEPTEMBER 12, 2024
Introduction Strawberry is out in the market!!! I hope this will be as fruitful as the recent advancements in artificial intelligence brought by other OpenAI’s latest models. We have been waiting for GPT-5 for so long, and now OpenAI has released its fact-checking and high reasoning model—OpenAI o1, with a code name of Strawberry. This […] The post How to Access OpenAI o1?
AWS Big Data
SEPTEMBER 12, 2024
The AWS Glue Data Catalog now enhances managed table optimization of Apache Iceberg tables by automatically removing data files that are no longer needed. Along with the Glue Data Catalog’s automated compaction feature, these storage optimizations can help you reduce metadata overhead, control storage costs, and improve query performance. Iceberg creates a new version called a snapshot for every change to the data in the table.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
David Menninger's Analyst Perspectives
SEPTEMBER 19, 2024
As I explained in our recent Buyers Guide for Data Platforms , the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data platform providers to add dedicated functionality for data engineering, including the development, traini
Smart Data Collective
SEPTEMBER 20, 2024
Data-driven companies need to follow big data regulations carefully if they want to avoid legal hassles.
KDnuggets
SEPTEMBER 2, 2024
Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.
CIO Business Intelligence
SEPTEMBER 11, 2024
Oracle has updated its Fusion Cloud Human Capital Management ( HCM ) suite with a new AI-powered feature, dubbed Oracle Dynamic Skills. The Dynamics Skills feature within Fusion Cloud HCM is expected to help enterprises keep tabs on their current and future requirement of skills, said Natalia Rachelson, Oracle’s group vice president of Fusion Cloud Applications.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Analytics Vidhya
SEPTEMBER 1, 2024
Introduction The newest model collection from Microsoft’s Small Language Models (SLMs) family is called Phi-3. They surpass models of comparable and greater sizes on a variety of benchmarks in language, reasoning, coding, and math. They are made to be extremely powerful and economical. With Phi-3 models available, Azure clients have access to a wider range […] The post What Makes Microsoft Phi 3.5 SLMs a Game-Changer for Generative AI?
AWS Big Data
SEPTEMBER 3, 2024
Data is a key driver for your business. Data volume can increase significantly over time, and it often requires concurrent consumption of large compute resources. Data integration workloads can become increasingly concurrent as more and more applications demand access to data at the same time. In AWS, hundreds of thousands of customers use AWS Glue , a serverless data integration service, for integrating data across multiple data sources at scale.
Analytics Vidhya
SEPTEMBER 10, 2024
Introduction Google Sheets is one of the most popular and widely used alternatives to Excel. Its collaborative environment offers features such as real-time editing, and version control, and its tight integration with Google Suite which allows you to call Google Sheets in Google Docs, helps to bring the best of the Google workspace. You can […] The post How to Automate Google Sheets?
Analytics Vidhya
SEPTEMBER 5, 2024
Introduction Text-to-image synthesis and image-text contrastive learning are two of the most innovative multimodal learning applications recently gaining popularity. With their innovative applications for creative image creation and manipulation, these models have revolutionized the research community and drawn significant public interest. In order to do further research, DeepMind introduced Imagen.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
SEPTEMBER 24, 2024
Introduction Tableau is a powerful and advanced visualization tool. It covers the whole visual development lifecycle. Starting with Tableau Prep Builder, you can effectively clean, transform, and source data under one roof. Tableau Desktop then presents this data to tell a story, while Tableau Server allows you to share these visuals with the intended audience. […] The post How to Integrate Google Gemini into Tableau Dashboards?
Analytics Vidhya
SEPTEMBER 19, 2024
Introduction Retrieval Augmented Generation systems, better known as RAG systems, have become the de-facto standard for building intelligent AI assistants answering questions on custom enterprise data without the hassles of expensive fine-tuning of large language models (LLMs). One of the key advantages of RAG systems is you can easily integrate your own data and augment […] The post A Comprehensive Guide to Building Multimodal RAG Systems appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 28, 2024
Introduction Suppose you are a scientist or an engineer solving numerous problems – ordinary differential equations, extremal problems, or Fourier analysis. Python is already your favorite type of language given its easy usage in graphics and simple coding ability. But now, these are complex enough tasks, and therefore, one requires a set of powerful tools. […] The post Understanding SciPy Library in Python appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 15, 2024
Introduction Recently, with the rise of large language models and AI, we have seen innumerable advancements in natural language processing. Models in domains like text, code, and image/video generation have archived human-like reasoning and performance. These models perform exceptionally well in general knowledge-based questions. Models like GPT-4o, Llama 2, Claude, and Gemini are trained on publicly […] The post A Comprehensive Guide to Fine-Tune Open-Source LLMs Using Lamini appeared fir
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Analytics Vidhya
SEPTEMBER 17, 2024
Introduction Vector streaming in EmbedAnything is being introduced, a feature designed to optimize large-scale document embedding. Enabling asynchronous chunking and embedding using Rust’s concurrency reduces memory usage and speeds up the process. Today, I will show how to integrate it with the Weaviate Vector Database for seamless image embedding and search.
Analytics Vidhya
SEPTEMBER 18, 2024
Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits. To address this, the Chinchilla Scaling Law, introduced by Hoffmann et al. in […] The post What is the Chinchilla Scaling Law?
Analytics Vidhya
SEPTEMBER 18, 2024
Introduction Have you ever wished you could simply chat with your database, asking questions in plain language and getting instant, relevant answers? Imagine the possibilities – no more complex SQL queries or digging through spreadsheets. Well, with the power of LangChain and its new SQL toolkit, that’s exactly what you can do! Diving into the […] The post Building a Conversational AI SQL Assistant with LangChain, GROQ, and Streamlit appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 12, 2024
Have you heard the big news? OpenAI just rolled out preview of a new series of AI models – OpenAI o1 (also known as Project Strawberry/Q*). These models are special because they spend more time “thinking” before they give you an answer. That means they’re better at tackling really tough problems in areas like science, […] The post o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems appeared first on Analytics Vidhya.
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