Thu.Oct 03, 2024

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The bigger the better? Approaching Generative AI by size

CIO Business Intelligence

As the Generative AI (GenAI) hype continues, we’re seeing an uptick of real-world, enterprise-grade solutions in industries from healthcare and finance, to retail and media. As the technology matures, we’re also learning more about its potential, shortcomings, and barriers to entry—ethical considerations, accuracy, hallucinations, and more. But beyond industry, however, there are factors that play into the success or failure of Generative AI projects.

Testing 75
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7 LLM Parameters to Enhance Model Performance (With Practical Implementation)

Analytics Vidhya

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 236
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Suncor Energy derives business value through business AI and automation

CIO Business Intelligence

Suncor is legally required to charge tax on intercompany transactions, including those with companies outside of its control. To comply with this obligation, Suncor has developed the Intercompany Tax Automation (ITC) solution using SAP Business AI & SAP Build Products. By the beginning of the decade, though, its automated solution was outmoded – a troubling predicament given Suncor’s legal and regulatory obligation to charge taxes on intercompany transactions.

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Scaling Multi-Document Agentic RAG to Handle 10+ Documents with LLamaIndex

Analytics Vidhya

Introduction In my previous blog post, Building Multi-Document Agentic RAG using LLamaIndex, I demonstrated how to create a retrieval-augmented generation (RAG) system that could handle and query across three documents using LLamaIndex. While that was a powerful start, real-world applications often require the ability to handle a larger corpus of documents.

Analytics 170
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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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7 Data Engineering Tools for Beginners

KDnuggets

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

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Automating CSV to PostgreSQL Ingestion with Airflow and Docker

Analytics Vidhya

Introduction Managing a data pipeline, such as transferring data from CSV to PostgreSQL, is like orchestrating a well-timed process where each step relies on the previous one. Apache Airflow streamlines this process by automating the workflow, making it easy to manage complex data tasks. In this article, we’ll build a robust data pipeline using Apache […] The post Automating CSV to PostgreSQL Ingestion with Airflow and Docker appeared first on Analytics Vidhya.

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Understanding SQL Data Type Conversion

Analytics Vidhya

Introduction When it comes to databases, the handling of enormous and different sorts of data is unavoidable. Think of what it would be like to try to add dates to dates or text to binary information – neither of these is easy and both of them have to be done right if the data is […] The post Understanding SQL Data Type Conversion appeared first on Analytics Vidhya.

Analytics 155
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Supermercados BM apuesta por la digitalización de su cadena de suministro gracias a la IA

CIO Business Intelligence

La transformación digital de cualquier negocio, independientemente de su sector de actividad, es clave para su supervivencia. Una transformación que es mucho más que la simple adopción de tecnología y que pasa por adaptar los procesos empresariales a las necesidades globales y dinámicas de los clientes. En este contexto, el sector retail lleva años adoptando un profundo cambio en todo el mundo y, de hecho, es uno de los sectores en los que más ha impactado la transformación digital.

Data Lake 108
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How to Fine-tune LLMs to 1.58 bits?

Analytics Vidhya

Introduction We all know that Large Language Models are growing in size and complexity. Finding ways to reduce their computational and energy cost is getting difficult. One popular method to reduce cost is quantization. In quantization, we reduce the precision of parameters from the standard 16-bit floating point (FP16) or 32-bit floating point (FP32) to […] The post How to Fine-tune LLMs to 1.58 bits?

Modeling 151
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Tres cosas que hay que hacer bien en la gestión de datos para proyectos de IA generativa

CIO Business Intelligence

Según Kari Briski, vicepresidente de Modelos, Software y Servicios de IA en Nvidia , implementar con éxito la inteligencia artificial (IA) generativa depende de la gestión eficaz de los datos y de evaluar cómo los diferentes modelos trabajan juntos para servir a un caso de uso específico. Mientras que algunas organizaciones de élite como Nvidia utilizan la IA generativa para cosas como el diseño de nuevos chips , la mayoría se ha decantado por casos de uso menos sofisticados que emplean modelos

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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LLMs For Healthcare: Exploring the Current Scenario

Analytics Vidhya

Introduction In recent years, large language models (LLMs have attracted significant attention in the healthcare sector. As interest in this technology expands, health-tech companies are exploring innovative ways to integrate generative artificial intelligence (GenAI) into clinical applications. Medical LLMs are enhancing clinical workflows, streamlining patient interactions, and improving diagnostic accuracy.

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5 Common Data Science Resume Mistakes to Avoid

KDnuggets

Want to create data science resumes that land interview calls and jobs? Avoid these common mistakes.

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How not to waste 34 hours a month in meetings

CIO Business Intelligence

None of the participants will ever forget this meeting, that much is certain. The venue was the US Department of Defense, starring a new Secretary of State responsible for procurement, who was to lead her first meeting with suppliers and colleagues from her own company. When she entered the room, she was faced with 60 participants. She said, “Ok, it’s best if we just form a circle at the beginning.

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Active Data Architecture: The Need of the Hour

Data Virtualization

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.

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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.

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AI on the mainframe? IBM may be onto something

CIO Business Intelligence

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

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Build a dynamic rules engine with Amazon Managed Service for Apache Flink

AWS Big Data

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

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Things get nasty in lawsuit between WordPress.org and WP Engine

CIO Business Intelligence

After years of nasty back and forth accusations between WordPress hosting provider WP Engine (WPE) and WordPress.org, the open source project that provides the software, on Wednesday WPE sued WordPress.org in federal court, accusing WordPress.org, which is affiliated with a for-profit company called Automattic, of trying to extort money from it. “Over the last two weeks, [WordPress] has been carrying out a scheme to ban WPE from the WordPress community unless it agreed to pay tens of millions of