Sat.Sep 21, 2024 - Fri.Sep 27, 2024

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Advanced Vector Indexing Techniques for High-Dimensional Data

Analytics Vidhya

Introduction In the current data-focused society, high-dimensional data vectors are now more important than ever for various uses like recommendation systems, image recognition, NLP, and anomaly detection. Efficiently searching through these vectors at scale can be difficult, especially with datasets containing millions or billions of vectors. More advanced indexing techniques are needed as traditional methods […] The post Advanced Vector Indexing Techniques for High-Dimensional Data appea

Analytics 280
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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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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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Chart Snapshot: Tanglegrams

The Data Visualisation Catalogue

Also known as a Cophylo Plot or Co-phylogeny Plot. A Tanglegram is a visualisation that consists of two Dendrogram trees displayed side-by-side that share the same set of leaves. Connection lines are drawn between these leaves to show the matches between the two trees. As a visualisation method, Tanglegrams are often implemented to compare and display the concordance (similarity of traits) between two datasets of hierarchical clustering.

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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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Devs gaining little (if anything) from AI coding assistants

CIO Business Intelligence

Coding assistants have been an obvious early use case in the generative AI gold rush, but promised productivity improvements are falling short of the mark — if they exist at all. Many developers say AI coding assistants make them more productive, but a recent study set forth to measure their output and found no significant gains. Use of GitHub Copilot also introduced 41% more bugs, according to the study from Uplevel, a company providing insights from coding and collaboration data.

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Use Key Influencer Analytics to Understand Data Relationships!

Smarten

Analytics Solutions Should Include Key Influencer Analytics! What is Key Influencer Analytics ? Simply put, Key Influencer Analytics is an analytical technique that helps the user analyze and understand the various factors affecting an outcome, what variables impact the metric, and the ranking of those factors. Key Influencer Analytics takes the guesswork out of decisions by clearly illustrating what factors influence success of a pricing strategy, a business location choice, a marketing campaig

More Trending

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5 Ways AI-Driven Video Chats Are More Collaborative

Smart Data Collective

AI technology has led to major breakthroughs in video technology, which can make video chats great for team collaboration.

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How Corios and Dataiku Help Enterprises Migrate From SAS

Dataiku

This blog post was guest-written by Robin Way , Founder and CEO of Corios, and Austin Barber , VP of Enterprise Sales at Corios. As enterprises face the rise of new technologies that require fast adaptation, the pressure to modernize their analytics infrastructure is mounting. Corios offers a comprehensive solution, allowing organizations to transition their data, workloads, and users from SAS into the Dataiku environment.

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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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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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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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23 key gen AI terms and what they really mean

CIO Business Intelligence

As abruptly as generative AI burst on the scene, so too is the new language that’s come with it. A complete list of AI-related vocabulary would be thousands of entries long, but for the sake of urgent relevance, these are the terms heard most among CIOs, analysts, consultants, and other business executives. Agentic systems An agent is an AI model or software program capable of autonomous decisions or actions.

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5 LLM Tools I Can’t Live Without

KDnuggets

Large language models (LLMs) have transformed, and continue to transform, the AI and machine learning landscape, offering powerful tools to improve workflows and boost productivity for a wide array of domains. I work with LLMs a lot, and have tried out all sorts of tools that help take advantage of the models and their potential.

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7 Steps to Build an AI Agent with No Code

Analytics Vidhya

Introduction “AI agents will become the primary way we interact with computers in the future. They will be able to understand our needs and preferences, and proactively help us with tasks and decision making.” – Satya Nadella, CEO of Microsoft AI agents are everywhere and rightfully so! These agents operate with a higher level of […] The post 7 Steps to Build an AI Agent with No Code appeared first on Analytics Vidhya.

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Amazon EMR Serverless observability, Part 1: Monitor Amazon EMR Serverless workers in near real time using Amazon CloudWatch

AWS Big Data

Amazon EMR Serverless allows you to run open source big data frameworks such as Apache Spark and Apache Hive without managing clusters and servers. With EMR Serverless, you can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. We have launched job worker metrics in Amazon CloudWatch for EMR Serverless.

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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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Generative AI strategy dilemma: Buy, build, or partner?

CIO Business Intelligence

Perhaps the most exciting aspect of cultivating an AI strategy is choosing use cases to bring to life. This is proving true for generative AI, whose ability to create image, text, and video content from natural language prompts has organizations scrambling to capitalize on the nascent technology. To that end, you IT leaders are grappling with some critical questions as they pursue GenAI application development.

Strategy 140
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7 Free Online Python REPLs

KDnuggets

Running Python code directly in your browser is incredibly convenient, eliminating the need for Python environment setup and allowing instant code execution without dependency or hardware concerns. I am a strong advocate of using a cloud-based IDE for working with data, machine learning, and learning Python as a beginner. It helps you learn programming and.

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Getting Started With Meta Llama 3.2

Analytics Vidhya

Introduction A few months ago, Meta released its AI model, LLaMA 3.1(405 Billion parameters), outperforming OpenAI and other models on different benchmarks. That upgrade was built upon the capabilities of LLaMA 3, introducing improved reasoning, advanced natural language understanding, increased efficiency, and expanded language support. Now, again focusing on its “we believe openness drives innovation […] The post Getting Started With Meta Llama 3.2 appeared first on Analytics Vidhya.

Modeling 278
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Apply enterprise data governance and management using AWS Lake Formation and AWS IAM Identity Center

AWS Big Data

In today’s rapidly evolving digital landscape, enterprises across regulated industries face a critical challenge as they navigate their digital transformation journeys: effectively managing and governing data from legacy systems that are being phased out or replaced. This historical data, often containing valuable insights and subject to stringent regulatory requirements, must be preserved and made accessible to authorized users throughout the organization.

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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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Reporting cybersecurity posture and systemic risk to the board

CIO Business Intelligence

Cybersecurity and systemic risk are two sides of the same coin. As we saw recently with the CrowdStrike outage, the interconnected nature of enterprises today brings with it great risk that can have a significant negative effect on any company’s finances. Although it was not a security event, the symptoms and responses all fall into the various categories of the cybersecurity program for any company.

Risk 132
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Has Europe Gone Too Far? The Delicate Dance of Regulation and Innovation

KDnuggets

While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.

Risk 106
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Mistral Large 2 vs Claude 3.5 Sonnet: Performance, Accuracy, and Efficiency

Analytics Vidhya

Introduction In the dynamic realm of artificial intelligence, innovation never stands still, and new models continuously emerge, vying for attention and application. Among the latest breakthroughs are Mistral Large 2 and Anthropic’s Claude 3.5 Sonnet, each representing distinct approaches to harnessing AI’s potential. Mistral Large 2 focuses on performance and versatility, promising to handle a […] The post Mistral Large 2 vs Claude 3.5 Sonnet: Performance, Accuracy, and Effici

Modeling 269
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The Global Impact of Cloudera in Our Daily Lives

Cloudera

Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?

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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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IT leaders: check out how 2D barcodes and RFID are reinventing retail

CIO Business Intelligence

The retail landscape has undergone massive shifts in recent years to adopt self-checkout systems. But major retailers like Walmart, Target, and Dollar General are starting to phase out self-check in some locations because they’ve contributed to higher rates of shoplifting and inventory loss. But is this the beginning of the end for self-checkouts? Some industry experts believe the pull-back is only temporary, and the future for self-checkout is bright — as soon as new technologies begin to be de

IT 131
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Feature Store Summit 2024: Data for AI – Real-Time, Batch, and LLMs

KDnuggets

Sponsored Content Once again the conference brings together researchers, professionals, and educators to present and discuss advances in Data and AI across various applications within industry. The Feature Store Summit aims to combine advances in technology and new use cases for managing data for AI. Hosted by Hopsworks, this free online conference.

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How to Work with Nvidia Nemotron-Mini-4B-Instruct?

Analytics Vidhya

Introduction Nvidia launched the latest Small Language Model (SLM) called Nemotron-Mini-4B-Instruct. SLM is the distilled, quantized, fine-tuned version of the larger base model. SLM is primarily developed for speed and on-device deployment.Nemotron-mini-4B is a fine-tuned version of Nvidia Minitron-4B-Base, which was a pruned and distilled version of Nemotron-4 15B.

Modeling 269
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Celebrating Hispanic Heritage Month with Cloudera

Cloudera

We’re more than a week into Hispanic Heritage Month, which started on September 15 and continues through October 15. This month is an annual celebration in the United States that honors the contributions, culture, and achievements of Hispanic and Latinx Americans. Over the next few weeks, we’ll be gathering with fellow Clouderans to reflect on and celebrate, the achievements of the Hispanic and Latinx communities here in the U.S. and across the globe.

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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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Microsoft joins SAP, Oracle in setting sunset date for legacy ERP support

CIO Business Intelligence

Microsoft will end product support and updates for Dynamics GP, its legacy enterprise resource planning (ERP) product for small and medium businesses, on September 30, 2029, the company announced on Tuesday. Security patches will continue to be provided for another 18 months, until April 30, 2031. Customers have had plenty of warnings about the product’s retirement.

Risk 130
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Fundamentals of Effective Prompt Engineering

KDnuggets

The launch of foundational models, popularly called Large Language Models (LLMs), created new ways of working – not just for the enterprises redefining the legacy ways of doing business, but also for the developers leveraging these models. The remarkable ability of these models to comprehend and respond in human-like language has given rise to.

Modeling 100
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How to Pick the Right LLM for Your Business?

Analytics Vidhya

Introduction With the growing number of LLMs like GPT-4o, LLaMA, and Claude, along with many more emerging rapidly, businesses’ key question is how to choose the best one for their needs. This guide will provide a straightforward framework for selecting the most suitable LLM for your business requirements. It will cover crucial factors like cost, […] The post How to Pick the Right LLM for Your Business?

Analytics 259
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Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset. For many organizations, this centralized data store follows a data lake architecture.

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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.