Sat.Sep 14, 2024 - Fri.Sep 20, 2024

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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 219
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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.

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Do boards understand their new role in cybersecurity?

CIO Business Intelligence

Julie Ragland was CIO of vehicle manufacturing company Navistar, and has held IT leadership roles at Adient and Johnson Controls. To Ragland, who also sits on several state agency and non-profit boards, one of the greatest responsibilities for today’s boards is in governing cyber security risk. And while board members are generally tuned in to the importance of cyber governance, they don’t always understand the true risks with cyber and their own governing role.

Risk 141
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What is the Role of Generative AI in Personalizing Ad Content?

Analytics Vidhya

Introduction The world of advertisement has been under evolution since the conception of the barter system. Advertisers have found creative ways to bring their products to our attention. In the current age, consumers expect brands to understand their unique preferences, needs, and desires. With GenAI solutions, advertisers can engage users and drive business outcomes by […] The post What is the Role of Generative AI in Personalizing Ad Content?

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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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Deep Learning Approaches in Medical Image Segmentation

KDnuggets

Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning. By harnessing neural networks, deep learning algorithms are able.

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Generative AI: Transformative Technology Or Big Disappointment?

Martha Bennett

Let me tell you about my recent podiatrist appointment. No, not the medical bit (which is boring), but the podiatrist’s use of generative AI. Like me, he’s not the youngest, but his enthusiasm for the solution he’s using was palpable.

More Trending

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Cloudera Evaluates Integrated Data and AI Exchange Business Line to Optimize Data-Driven Generative AI Use Cases

Cloudera

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision.

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Accelerate Data Access: How the Denodo Platform Powers High-Performance Queries

Data Virtualization

Reading Time: 3 minutes Whether you’re making strategic business decisions, optimizing operations, or just trying to stay ahead of the competition, you need your data to be at your fingertips—fast. That’s where the Denodo Platform steps in as your go-to solution for high-performance data. The post Accelerate Data Access: How the Denodo Platform Powers High-Performance Queries appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Informa

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Data Crime: Your Phone Isn’t Here

TDAN

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.

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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.

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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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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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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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Partial Functions in Python: A Guide for Developers

KDnuggets

In Python, functions often require multiple arguments, and you may find yourself repeatedly passing the same values for certain parameters. This is where partial functions can help. Python’s built-in functools module allows you to create partial functions.

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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 307
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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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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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Deepfakes break through as business threat

CIO Business Intelligence

Deepfakes targeting enterprise financial data used to be a hypothetical concern, but that’s no longer the case, as criminal deepfakers now target more than a quarter of all companies, according to a recent survey. About 15% of executives say cybercriminals have targeted their companies’ financial or accounting data using deepfakes at least once in the past year, while another 11% say they’ve seen multiple deepfake scams.

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How to Import Data into BigQuery

KDnuggets

Data come from everywhere, and the number of origins, sources, and formats under which valuable data may appear underscores the need for database management tools capable of loading data from multiple sources. This tutorial illustrates how to load datasets from different formats and sources into Google BigQuery. All the prerequisites we need are having registered.

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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 291
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Leveraging Commerce Media & Data Analytics in Ecommerce

Smart Data Collective

Ecommerce businesses should use data analytics to bolster their commerce media strategy.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO Business Intelligence

Agentic AIs, a form of technology designed to run specific functions within an organization without human intervention, are gaining traction as enterprises look to automate business workflows, augment the output of human workers, and derive value from generative AI. Analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year, but it has a warning for companies focused on adopting them: Don’t go it alone.

IT 138
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How to Perform Data Aggregation Over Time Series Data with Pandas

KDnuggets

Image by Editor | Ideogram Let’s learn how to perform time series data aggregation in Pandas. Preparation We would need the Pandas and Numpy packages installed, so we can install them using the following code: pip install pandas numpy With the packages installed, let’s jump into the article. Time Series.

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How to Optimize Data Warehouse with STAR Schema?

Analytics Vidhya

Introduction The STAR schema is an efficient database design used in data warehousing and business intelligence. It organizes data into a central fact table linked to surrounding dimension tables. This star-like structure simplifies complex queries, enhances performance, and is ideal for large datasets requiring fast retrieval and simplified joins. A major advantage of the STAR […] The post How to Optimize Data Warehouse with STAR Schema?

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Generative AI With Dataiku: What’s New and What’s Next

Dataiku

Six months ago, we shared an essential update on Dataiku's journey into the world of Generative AI — a journey that has only gained momentum since. Back in February, we saw the early stages of this transformative technology being adopted by our customers, with 83% of AI leaders already experimenting with Generative AI. Today, those experiments have matured into sophisticated, production-level implementations that are reshaping industries and redefining business strategies.

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AI could be taken over by a few multinationals, warns UN

CIO Business Intelligence

The United Nations’ High-Level Advisory Body on Artificial Intelligence, created last year to address AI governance issues, has made seven recommendations to address the risks with this technology in its first report, just published. The document, entitled Governing AI for humanity , highlights the importance of creating a global dialogue — the European Union is one of the few to have acted with its EU AI Act — by building a global fund that addresses differences in capacity and collaboration an

Risk 138
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How to Visualize Data with ggplot2 in R

KDnuggets

ggplot2 is a tool in R for making charts. You can create charts with dots, bars, or lines. You can also add layers to show more details. This article will help you learn how to use ggplot2 to create visualizations. Getting started with ggplot2 Before using ggplot2, you need to install it and.

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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 290
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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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Chart Snapshot: Circular Dendrograms

The Data Visualisation Catalogue

Also known as a Radial Dendrogram. A Circular Dendrogram is a variation of a Dendrogram that visualises the structure of hierarchical clustering on a polar (radial) layout. This chart helps to display and classify the taxonomic relationships between entities related to a group. Circular Dendrograms are constructed of branches called clades. These branches are divided into smaller branches, with each end in a point called a leaf , which represents an individual entity.

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The IT sector is bringing down Europe all on its own

CIO Business Intelligence

On Monday of last week, former European Central Bank chief Mario Draghi presented his “long-awaited” report on the EU’s competitiveness, which the Commission tapped him to produce a year ago. The report will form the basis of the policy work going forward for the new commission that will soon take office. I put long-awaited in quotation marks because, although it is described as such, it takes a certain masochistic disposition to look forward to a slap in the face like this.

IT 136
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VoiceChat with Your LLMs using AlwaysReddy

KDnuggets

Rapid development is happening around us, and one of the most interesting aspects of this evolution is artificial intelligence's ability to communicate through natural language with humans. Suppose you want to communicate with some LLM running on your computer without switching between applications or windows, just by using a voice hotkey. This is exactly what.

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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 291
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

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.