September, 2024

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Get From Data To Decisions Faster With Our New Data, AI & Analytics Service

Srividya Sridharan

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 116
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Key Challenges and Limitations in AI-Language Models

Analytics Vidhya

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.

Modeling 341
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Avoiding Toxicity in Generative AI

David Menninger's Analyst Perspectives

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.

Risk 246
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Preparing for AI

O'Reilly on Data

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.

Modeling 218
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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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Data Quality Power Moves: Scorecards & Data Checks for Organizational Impact

DataKitchen

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.

Scorecard 189
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5 Quirky Data Science Projects to Impress

KDnuggets

Develop unique yet standing-out data science projects to improve your data portfolio.

More Trending

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GPT-4o vs OpenAI o1: Is the New OpenAI Model Worth the Hype?

Analytics Vidhya

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?

Modeling 336
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Avoiding Toxicity in Generative AI

David Menninger's Analyst Perspectives

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.

Testing 130
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The AI Blues

O'Reilly on Data

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.

Testing 155
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From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts

DataKitchen

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?

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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7 Steps to Mastering Coding for Data Science

KDnuggets

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.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

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.

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How to Access OpenAI o1?

Analytics Vidhya

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?

Modeling 336
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Snowflake Offers a Platform for AI as well as Data

David Menninger's Analyst Perspectives

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

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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The AWS Glue Data Catalog now supports storage optimization of Apache Iceberg tables

AWS Big Data

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 Role of Data Protection Regulations for Data-Driven Brands

Smart Data Collective

Data-driven companies need to follow big data regulations carefully if they want to avoid legal hassles.

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10 Built-In Python Modules Every Data Engineer Should Know

KDnuggets

Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.

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Oracle updates Fusion Cloud CX with CDP, B2B buying features

CIO Business Intelligence

Oracle has updated its Unity Customer Data Platform (CDP) with new features to help enterprises improve customer experience and engagement, and optimize marketing spend. The latest updates made to Unity CDP — announced at the CloudWorld 2024 conference — are designed to offer marketers and sellers actionable account views that leverage customer intent data from marketing, sales, and service combined with finance, product usage, contract, and supply chain sources to help enterprises engage buy

B2B 145
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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What Makes Microsoft Phi 3.5 SLMs a Game-Changer for Generative AI?

Analytics Vidhya

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?

Modeling 336
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How to Automate Google Sheets?

Analytics Vidhya

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 329
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Is Google’s Imagen 3 the Future of AI Image Creation?

Analytics Vidhya

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.

Modeling 325
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How to Integrate Google Gemini into Tableau Dashboards?

Analytics Vidhya

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?

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Understanding SciPy Library in Python

Analytics Vidhya

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 317
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A Comprehensive Guide to Building Multimodal RAG Systems

Analytics Vidhya

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.

Modeling 319
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A Comprehensive Guide to Fine-Tune Open-Source LLMs Using Lamini

Analytics Vidhya

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

Modeling 318
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Vector Streaming: Memory-efficient Indexing with Rust

Analytics Vidhya

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.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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What is the Chinchilla Scaling Law?

Analytics Vidhya

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?

Modeling 306
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Building a Conversational AI SQL Assistant with LangChain, GROQ, and Streamlit

Analytics Vidhya

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 306
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Pixtral-12B: Mistral AI’s First Multimodal Model

Analytics Vidhya

Introduction Mistral has released its very first multimodal model, namely the Pixtral-12B-2409. This model is built upon Mistral’s 12 Billion parameter, Nemo 12B. What sets this model apart? It can now take both images and text for input. Let’s look more at the model, how it can be used, how well it’s performing the tasks […] The post Pixtral-12B: Mistral AI’s First Multimodal Model appeared first on Analytics Vidhya.

Modeling 306
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o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems

Analytics Vidhya

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.

Modeling 306
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.