CIO Business Intelligence

OCTOBER 2, 2024

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. While a few elite organizations like Nvidia use gen AI for things like designing new chips, most have settled on less sophisticated use cases that employ simpler models, and can focus on achieving excellence in data management.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

KDnuggets

SEPTEMBER 30, 2024

Discover the keys for a successful adoption of data governance schemes in your data science projects.

Data Governance 101

Data Governance Data Science 101

Analytics Vidhya

OCTOBER 3, 2024

Introduction Let’s say you’re interacting with an AI that not only answers your questions but understands the nuances of your intent. It crafts tailored, coherent responses that almost feel human. How does this happen? Most people don’t even realize the secret lies in LLM parameters. If you’ve ever wondered how AI models like ChatGPT generate […] The post 7 LLM Parameters to Enhance Model Performance (With Practical Implementation) appeared first on Analytics Vidhya.

Modeling 252

Modeling Interactive Analytics IT 252

Data Virtualization

OCTOBER 3, 2024

Reading Time: 3 minutes As organizations continue to pursue increasingly time-sensitive use-cases including customer 360° views, supply-chain logistics, and healthcare monitoring, they need their supporting data infrastructures to be increasingly flexible, adaptable, and scalable. Howard Dresner refers to such infrastructures as “active data architecture.

Data Architecture 52

Data Architecture Data Integration Management Data Governance 52

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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?

Business Intelligence

AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries. Amazon Redshift supports a wide variety of tabular data formats like CSV, JSON, Parquet, ORC and open tabular formats like Apache Hudi, Linux foundation Delta Lake and Apache Iceberg.

Data Lake 98

Data Lake Statistics Broadcasting Optimization 98

Tim Mitchell

OCTOBER 1, 2024

Most of us who work with data have, at least a few times, been presented with a challenge to explore and attempt to make sense of a poorly-defined set of data. Often it’s a collection of text files or Excel documents without any context or documentation. In other cases, it’s a database with no data map or metadata to help. The post T-SQL Tuesday #179: What’s In Your Data Detective Toolkit?

Metadata 72

Metadata IT 72

Depict Data Studio

OCTOBER 1, 2024

Colors can make or break a chart. Colors direct our eye movements, and therefore our brains and attention. It’s up to you: will you help or hinder your reader’s understanding? Step 1: Start with Your Brand Colors Otherwise, your graphs, slides, and dashboards will be Frankensteined. I’ve written about brand colors and brand presents in other posts.

Testing 81

Testing Dashboards Software Reporting 81

Smart Data Collective

OCTOBER 2, 2024

AI technology has created many promising new opportunities for software engineers in recent years.

Software 97

Software Technology Big Data Data Science 97

TDAN

OCTOBER 2, 2024

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of  data management to someone.

IT 52

IT Data Quality Data Governance Management 52

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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Modeling Analytics IT 316

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Data-driven

David Menninger's Analyst Perspectives

OCTOBER 2, 2024

I previously wrote about data mesh as a cultural and organizational approach to distributed data processing. Data mesh has four key principles—domain-oriented ownership, data as a product, self-serve data infrastructure and federated governance—each of which is being widely adopted. I assert that by 2027, more than 6 in 10 enterprises will adopt technologies to facilitate the delivery of data as a product as they adapt their cultural and organizational approaches to data ownership in the context

Key Performance Indicator 130

Key Performance Indicator Data Governance Data Warehouse Enterprise 130

CIO Business Intelligence

OCTOBER 2, 2024

Accenture and Nvidia announced an expanded partnership Wednesday with Accenture’s new Nvidia business group focused on helping customers rapidly scale AI adoption. Accenture said the new group will use Accenture’s AI Refinery platform — built on the Nvidia AI stack, including Nvidia AI Foundry, Nvidia AI Enterprise, and Nvidia Omniverse — to help clients create a foundation for use of agentic AI.

Cost-Benefit 141

Cost-Benefit Manufacturing Enterprise Marketing 141

KDnuggets

OCTOBER 3, 2024

Learn the data engineering tools for data orchestration, database management, batch processing, ETL (Extract, Transform, Load), data transformation, data visualization, and data streaming.

Visualization 127

Visualization Data Transformation Management 127

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.

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Analytics IT Optimization Statistics 290

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.

Marketing

AWS Big Data

OCTOBER 2, 2024

After careful consideration, we have made the decision to end support for Governed Tables , effective December 31, 2024, to focus on open source transactional table formats such as Apache Iceberg , Apache Hudi , and Linux Foundation Delta Lake. This decision stems from customer preference for these open source solutions, which offer ACID-compliant transactions, compaction, time travel, and other features previously provided by Governed Tables.

Snapshot 119

Snapshot Metadata Big Data Analytics 119

CIO Business Intelligence

OCTOBER 3, 2024

CIOs have been moving workloads from legacy platforms to the cloud for more than a decade but the rush to AI may breathe new life into an old enterprise friend: the mainframe. At least IBM believes so. Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection an

Machine Learning 140

Machine Learning Experimentation Insurance Modeling 140

KDnuggets

OCTOBER 4, 2024

Have you ever wondered how you can easily create command-line applications in Python? Gather yourself up because that is what I am going to cover today.

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Analytics Vidhya

OCTOBER 1, 2024

Introduction Retrieval-Augmented Generation (RAG) is one of the most exciting recent innovations in artificial intelligence (AI). RAGs combine the power of generative models, like GPT, with a retrieval system that searches for relevant information in real-time. This makes them highly effective tools for various job roles across various industries. Whether you’re a data scientist, a […] The post Top 8 Applications of RAGs in Workplaces appeared first on Analytics Vidhya.

Modeling 261

Modeling Analytics 261

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

Business Intelligence

AWS Big Data

OCTOBER 3, 2024

Imagine you have some streaming data. It could be from an Internet of Things (IoT) sensor, log data ingestion, or even shopper impression data. Regardless of the source, you have been tasked with acting on the data—alerting or triggering when something occurs. Martin Fowler says : “You can build a simple rules engine yourself. All you need is to create a bunch of objects with conditions and actions, store them in a collection, and run through them to evaluate the conditions and execute the actio

Internet Publishing and Broadcasting 101

Internet Publishing and Broadcasting Broadcasting Management Internet of Things 101

CIO Business Intelligence

SEPTEMBER 30, 2024

Hannah Calhoon, vice president of AI for Indeed, uses artificial intelligence “to make existing tasks faster, easier, higher quality and more effective.” She points to a recent initiative in which the job matching and hiring platform company started using large language models (LLMs) to add a highly customized sentence or two to the emails it sends to job seekers about open positions that match their qualifications.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

KDnuggets

OCTOBER 2, 2024

Text mining in R helps you explore large text data to find patterns and insights. This article walks through the basics of using R for text mining, from data preparation to analysis.

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Analytics Vidhya

OCTOBER 1, 2024

Introduction Meta recently launched Llama 3.2, its latest multimodal model. This version offers improved language understanding, provides more accurate answers and generates high-quality text. It can now analyze and interpret images, making it even more versatile in understanding and responding to various input types! Llama 3.2 is a powerful tool that can help you with […] The post 3 Ways to Run Llama 3.2 on Your Device appeared first on Analytics Vidhya.

Modeling 258

Modeling Analytics IT 258

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.

Data-driven

Dataiku

OCTOBER 4, 2024

Ninety percent of leaders are already investing in Generative AI in some way, but there's a common challenge: How can you objectively measure whether an LLM's output is actually "good enough"? For instance, imagine you’re using an LLM to power a conversational Q&A chatbot. After a few successful exchanges, it’s tempting to assume the model is delivering high-quality answers, but how can you quantify and benchmark that?

Measurement 72

Measurement Interactive Modeling 72

CIO Business Intelligence

OCTOBER 1, 2024

The European Commission has appointed a group of AI specialists to outline how businesses should comply with forthcoming AI regulations. The group includes prominent figures like AI pioneer Yoshua Bengio, former UK government adviser Nitarshan Rajkumar, and Stanford University fellow Marietje Schaake. They will oversee four working groups, each focusing on different aspects of AI governance — transparency and copyright, risk identification and assessment, technical risk mitigation, and internal

Risk 136

Risk Risk Management Interactive Enterprise 136

KDnuggets

OCTOBER 1, 2024

Learn how to download and use Llama 3.2 models locally using Msty. Also, learn how to access the Llama 3.2 vision models at the speed of light using the Groq API.

Modeling 99

Modeling 99

Analytics Vidhya

SEPTEMBER 30, 2024

Introduction Generative AI is the big talk of the town these days. Almost every day, we see a new model being released. Having a discussion group where the details of these advancements are discussed can greatly help individuals working in this field. This is why Reddit is so famous for all the GenAI discussions. I […] The post Top 10 Generative AI Subreddits to Follow in 2024 appeared first on Analytics Vidhya.

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Modeling Analytics Data Science Technology 256

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

Smart Data Collective

OCTOBER 4, 2024

SAP Clean Core is great for AI software developers trying to create powerful machine learning programs.

Machine Learning 99

Machine Learning Software 99

CIO Business Intelligence

OCTOBER 2, 2024

When Accenture on Wednesday rolled out a new partnership with Nvidia , including the creation of a 30,000-person Nvidia business unit, it could be seen as just another partnership expansion. And a couple of years ago, that would have been fair. But with today’s IT world being completely rewritten by generative artificial intelligence (genAI), the deal illustrates a new IT reality.

Strategy 134

Strategy Modeling Enterprise Data Processing 134

KDnuggets

OCTOBER 2, 2024

Jumping into the technology world doesn’t have to be so daunting.

Technology 131

Technology 131

Analytics Vidhya

SEPTEMBER 30, 2024

Introduction As generative AI continues to advance, discussions about its potential, challenges, and future developments are intensifying. Reddit, a platform recognized for its thorough and candid conversations, has become a popular space for users to exchange insights, critiques, and predictions about this revolutionary technology. In this article, we delve into the top 10 generative AI […] The post Top 10 Reddit Threads on Generative AI appeared first on Analytics Vidhya.

Technology 259

Technology Analytics IT 259

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling