Tue.Nov 19, 2024

article thumbnail

OmniGen: A Unified Approach to Image Generation

Analytics Vidhya

Generative foundation models have revolutionized Natural Language Processing (NLP), with Large Language Models (LLMs) excelling across diverse tasks. However, the field of visual generation still lacks a unified model capable of handling multiple tasks within a single framework. Existing models like Stable Diffusion, DALL-E, and Imagen excel in specific domains but rely on task-specific extensions […] The post OmniGen: A Unified Approach to Image Generation appeared first on Analytics Vidh

article thumbnail

Unbundling the Graph in GraphRAG

O'Reilly on Data

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Comprehensive Guide to Output Parsers

Analytics Vidhya

Output parsers are essential for converting raw, unstructured text from language models (LLMs) into structured formats, such as JSON or Pydantic models, making it easier for downstream tasks. While function or tool calling can automate this transformation in many LLMs, output parsers are still valuable for generating structured data or normalizing model outputs.

article thumbnail

Bigeye Enable Monitoring, Quality and Lineage of Data

David Menninger's Analyst Perspectives

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis. Maintaining quality and trust is a perennial data management challenge, the importance of which has come into sharper focus in recent years thanks to the rise of artificial intelli

article thumbnail

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?

article thumbnail

Make Your Own Video Game in 7 Easy Steps!

Analytics Vidhya

Rapid progress in artificial intelligence has transformed creative sectors such as content creation, image generation, and music generation. AI is projected to contribute over $15.7 trillion to the global economy by 2030, and the gaming industry is an integral part of this growth. According to Allied Market Research’s Report, the AI in the video games market alone […] The post Make Your Own Video Game in 7 Easy Steps!

Marketing 145
article thumbnail

Shortsighted CEOs leave CIOs with increasing tech debt

CIO Business Intelligence

Many organizations are mortgaging their futures by reallocating IT resources from long-term projects to achieve short-term wins, according to a recent survey of CEOs. Two-thirds of CEOs surveyed by the IBM Institute for Business Value acknowledge raiding long-term IT projects to achieve short-term goals. At the same time, the CEOs surveyed see a focus on short-term performance as the top barrier to innovation.

More Trending

article thumbnail

Agentic AI design: An architectural case study

CIO Business Intelligence

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. But with the advent of GPT-3 in 2020, LLMs exploded onto the scene, captivating the world’s attention and forever altering the landscape of artificial intelligence (AI), and in the process, becoming an essential part of our everyday computing lives.

Testing 122
article thumbnail

Build Agents the Atomic Way!

Analytics Vidhya

AI agents are intelligent programs that perform tasks autonomously, transforming various industries. As AI agents gain popularity, various frameworks have emerged to simplify their development and integration. Atomic Agents is one of the newer entries in this space, designed to be lightweight, modular, and easy to use. Atomic Agents provides a hands-on, transparent approach, allowing […] The post Build Agents the Atomic Way!

Analytics 134
article thumbnail

Top 8 failings in delivering value with generative AI and how to overcome them

CIO Business Intelligence

Generative AI (GenAI) is rapidly emerging as a game changer for enterprises, but turning its potential into measurable value remains a significant challenge. According to a recent IDC study (Future Enterprise Resiliency and Spending Survey, Wave 4, IDC, April 2024), companies are conducting an average of 37 GenAI proofs of concept (POCs), with only five advancing to production.

article thumbnail

Introducing Point in Time queries and SQL/PPL support in Amazon OpenSearch Serverless

AWS Big Data

Today we announced support for three new features for Amazon OpenSearch Serverless : Point in Time (PIT) search, which enables you to maintain stable sorting for deep pagination in the presence of updates, and Piped Processing Language (PPL) and Structured Query Language (SQL), which give you new ways to query your data. Querying with SQL or PPL is useful if you’re already familiar with the language or want to integrate your domain with an application that uses them.

article thumbnail

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.

article thumbnail

Microsoft and Atom Computing claim breakthrough in reliable quantum computing

CIO Business Intelligence

Microsoft and Atom Computing have announced what they claim is a significant step forward in reliable quantum computing, unveiling a commercial quantum machine built with 24 entangled logical qubits. The system, achieved through a combination of Atom Computing’s neutral-atom hardware and Microsoft’s qubit-virtualization technology, aims to address the critical challenge of error detection and correction in quantum computation.

Software 113
article thumbnail

Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

AWS Big Data

Organizations of all sizes and types are using generative AI to create products and solutions. A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. In semantic search, documents are stored as vectors, a numeric representation of the document content, in a vector database such as Amazon OpenSearch Service , and are retrieved by performing similarity search with a vector representation of the search query

article thumbnail

Map an AI strategy that’s yours, not SAP’s

CIO Business Intelligence

As enthusiasm for AI and generative AI mounts, creating a winning AI strategy to help reduce operating costs and increase efficiency is easily topping the priority list for IT executives. There’s little question businesses are ready to reap the rewards of AI. Gartner projects that spending on AI software will grow to $297.9 billion by 2027, with overall market growth accelerating from 17.8% to 20.4% in the same timeframe.

Strategy 103
article thumbnail

10 Python Libraries Every Data Analyst Should Know

KDnuggets

Interested in data analytics? Here's a list of Python libraries you cannot do without.

article thumbnail

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.

article thumbnail

Así es el ‘cambio radical’ de las TI en la búsqueda del éxito empresarial

CIO Business Intelligence

La industria de los seguros, aunque tradicionalmente considerada sólida y estable, no está precisamente asociada con la toma de grandes riesgos. Pero Brown & Brown Insurance, con sede en Florida, puso a prueba las convenciones de la vieja escuela cuando se unió a un grupo creciente de organizaciones líderes que estaban remodelando su TI para reflejar el papel omnipresente de la tecnología en la transformación empresarial.

Insurance 103
article thumbnail

Introducing Amazon MWAA micro environments for Apache Airflow

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA), is a managed Apache Airflow service used to extract business insights across an organization by combining, enriching, and transforming data through a series of tasks called a workflow. It enhances infrastructure security and availability while reducing operational overhead. Today, we’re excited to announce mw1.micro, the latest addition to Amazon MWAA environment classes.

article thumbnail

11 ways to ensure IT-business alignment

CIO Business Intelligence

Most IT and business executives recognize the necessity of close alignment. They understand that their strategies, capabilities, resources, and management systems should be configured to support the enterprise’s overarching purpose and goals. But the challenge many executives face is that they tend to focus on how their particular area aligns with overall goals, to the exclusion of other facets of the organization.

IT 108
article thumbnail

Pursue a Master’s in Data Science with the 4th Best Online Program

KDnuggets

100% online master’s program with flexible schedules designed for working professionals. Enrolling now for March 3rd.

article thumbnail

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.

article thumbnail

He aquí 11 maneras de garantizar la alineación entre TI y Negocio

CIO Business Intelligence

La mayoría de los ejecutivos de TI y de negocios reconocen la necesidad de una alineación estrecha. Entienden que sus estrategias, capacidades, recursos y sistemas de gestión deben configurarse para respaldar el propósito y los objetivos generales de la empresa. Pero el desafío que enfrentan muchos ejecutivos es que tienden a centrarse en cómo su área en particular se alinea con los objetivos generales, excluyendo otras facetas de la organización.

KPI 103
article thumbnail

Run Local LLMs with Cortex

KDnuggets

Check out this local AI model manager similar to Ollama, but better.

article thumbnail

Los CEO cortos de mira abocan a los CIO a lidiar con una deuda tecnológica cada vez mayor

CIO Business Intelligence

Muchas organizaciones están hipotecando su futuro reasignando recursos de TI de proyectos a largo plazo para lograr objetivos a corto plazo, según una encuesta reciente a directores ejecutivos. Dos tercios de los directores ejecutivos encuestados por el IBM Institute for Business Value reconocen que se dedican a proyectos de TI a largo plazo para lograr objetivos a corto plazo.

IT 95
article thumbnail

Using AI to Prevent Unauthorized Access in Complex IT Ecosystems

Smart Data Collective

AI is invaluable for cybersecurity professionals trying to help stop unauthorized access to their complex IT ecosystems.

IT 75
article thumbnail

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.

article thumbnail

IFCO corta la cinta inaugural de su nuevo ‘hub’ digital global en Barcelona

CIO Business Intelligence

La firma especializada en soluciones de envases reutilizables para alimentos frescos, IFCO, está de estreno; y es que recientemente ha cortado la cinta inaugural de su nuevo hub digital global en el Pier01 de Tech Barcelona. Con este nuevo paso adelante en la Ciudad Condal, la compañía aspira a reforzar su capacidad para ofrecer seguimiento en tiempo real y análisis basados en datos a sus clientes en todo el mundo, promoviendo la transparencia, eficiencia y sostenibilidad en toda la cadena de su

IoT 78
article thumbnail

Your system is “working fine”—Really?

Timo Elliott

Here’s the problem with existing IT systems that “work fine” When you suddenly need to find new ways of working, you can’t! Heavily customized, on-premise system just aren’t as agile as modern cloud infrastructures. You have to say “no” more often to changes the business wants, and it takes longer to implement every change.

ROI 52
article thumbnail

Luz verde al nuevo laboratorio de innovación en APIs para Open Gateway

CIO Business Intelligence

MasOrange, Telefónica, Vodafone Global y el centro de investigación i2CAT se han unido para poner en marcha el primer laboratorio de APIs Open Gateway multioperador de Europa. Se trata de un entorno concebido para desarrolladores que permitirá a empresas y creadores explorar y aprovechar las capacidades de las telco a través de APIs estandarizadas. El laboratorio, según se ha dado a conocer, tiene como objetivo acelerar la adopción de APIs interoperables, creando casos de uso conjuntos y unifica

78
article thumbnail

Understanding the Why and How of the LLM Mesh Architecture

Dataiku

In the latest GenAI Bootcamp session, Chad Covin , technical product marketing specialist at Dataiku, and Nate Kim , sr. field engineer at Dataiku, discussed the common challenges of IT leaders when implementing large language models (LLMs) at scale. They also discussed the solution by introducing us to the Dataiku LLM Mesh architecture. Let's delve into the essence of this webinar.

article thumbnail

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.

article thumbnail

Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

article thumbnail

Can AI Help You Build Better Business Relationships?

Smart Data Collective

AI technology can play an integral role in building stronger business relationships in 2024.

article thumbnail

Microsoft reimagines Fabric with focus on AI

CIO Business Intelligence

Microsoft announced a host of additions to its Microsoft Fabric data analytics platform at Microsoft Ignite 2024 in Chicago on Tuesday, including Fabric Databases. The innovations are part of Microsoft’s reimagining of the pillars of Microsoft Fabric with a focus on providing AI-powered tools for data projects and delivering an open and AI-ready data lake.

article thumbnail

Integrate custom applications with AWS Lake Formation – Part 2

AWS Big Data

In the first part of this series , we demonstrated how to implement an engine that uses the capabilities of AWS Lake Formation to integrate third-party applications. This engine was built using an AWS Lambda Python function. In this post, we explore how to deploy a fully functional web client application, built with JavaScript/React through AWS Amplify (Gen 1), that uses the same Lambda function as the backend.

article thumbnail

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.