CIO Business Intelligence

OCTOBER 3, 2024

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 129

Testing Cost-Benefit Experimentation Risk 129

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 253

Modeling Interactive Analytics IT 253

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 145

Visualization Data Transformation Management 145

Analytics Vidhya

OCTOBER 3, 2024

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.

Interactive 208

Interactive Modeling Technology Analytics 208

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

Analytics Vidhya

OCTOBER 3, 2024

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.

Management 208

Management Analytics IT 208

Analytics Vidhya

OCTOBER 3, 2024

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 207

Modeling Analytics 207

CIO Business Intelligence

OCTOBER 3, 2024

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.

Manufacturing 127

Manufacturing IT Software Management 127

Analytics Vidhya

OCTOBER 3, 2024

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 207

Analytics Modeling 207

CIO Business Intelligence

OCTOBER 3, 2024

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.

Consulting 122

Consulting Sales Testing Management 122

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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

Analytics Vidhya

OCTOBER 3, 2024

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 203

Analytics IT 203

CIO Business Intelligence

OCTOBER 3, 2024

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

Data Lake 119

Data Lake ROI Software Management 119

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 115

Internet Publishing and Broadcasting Broadcasting Management Internet of Things 115

CIO Business Intelligence

OCTOBER 3, 2024

La IA generativa irrumpió en escena de forma abrupta y ha ocurrido igual con el nuevo lenguaje que trae consigo. Aunque la lista completa de vocabulario relacionado con la IA sería mucho más amplia (con miles de términos), destacamos los más conocidos entre los CIO, analistas, consultores y otros ejecutivos de empresas. Agentes de IA Un agente es un modelo de IA o un programa de software capaz de tomar decisiones o realizar acciones de forma autónoma.

Software 119

Software Marketing 119

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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.

Reporting

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

CIO Business Intelligence

OCTOBER 3, 2024

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 113

Data Lake Data-driven Software Digital Transformation 113

CIO Business Intelligence

OCTOBER 3, 2024

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

Data Processing 117

Data Processing Enterprise Interactive Publishing 117