CIO Business Intelligence

APRIL 16, 2024

While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. By leveraging a GenAI-fueled edge with small language models (SLMs), this lengthy work will be streamlined and simplified.

Manufacturing 142

Manufacturing Digital Transformation Risk Dashboards 142

AWS Big Data

MAY 2, 2025

These innovations run AI search flows to uncover relevant information through semantic, cross-language, and content understanding; adapt information ranking to individual behaviors; and enable guided conversations to pinpoint answers. This template requires us to select a text embedding model. that can operate on text and images.

Machine Learning 87

Machine Learning Visualization Dashboards Metadata 87

AWS Big Data

NOVEMBER 19, 2024

The process starts by creating a vector based on the question (embedding) by invoking the embedding model. Pre-filtered documents that relate to the user query are included in the prompt of the large language model (LLM) that summarizes the answer.

Management 98

Management Metadata Manufacturing Testing 98

Rocket-Powered Data Science

MARCH 10, 2020

And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”. How does one express “context” in a data model? After all, the standard relational model of databases instantiated these types of relationships in its very foundation decades ago: the ERD (Entity-Relationship Diagram).

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

CIO Business Intelligence

OCTOBER 24, 2023

The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work. Vector Databases To make use of a Large Language Model, you’re going to need to vectorize your data.

Cost-Benefit 127

Cost-Benefit Modeling Data Quality Statistics 127

CIO Business Intelligence

APRIL 11, 2024

They can even make context-relevant suggestions for upsells in natural language: “ You know if you want the meal deal, I can sub in some rings instead of fries for you.” RFID tags have been around for decades and now cost just pennies. RFID tags combined with GenAI can be used for inventory tracking, loss prevention, and stocking.

Cost-Benefit 125

Cost-Benefit Technology Sales Visualization 125

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. The following are the most commonly used services for unstructured data processing: Amazon Comprehend – This natural language processing (NLP) service uses ML to extract metadata from text data.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

Dataiku

MARCH 25, 2024

This scenario is not science fiction but a glimpse into the capabilities of Multimodal Large Language Models (M-LLMs), where the convergence of various modalities extends the landscape of AI. M-LLMs are well suited to tackle VQA due to their ability to process and fuse information from both textual and visual modalities.

Visualization 132

Visualization Modeling Experimentation Testing 132

CIO Business Intelligence

NOVEMBER 28, 2023

These tools categorize and tag various elements of the artwork, whether it’s a character, landscape, or some other element. The company also uses large language models (LLMs) to summarize recognition trends over time and to suggest language for an effective recognition message. “One

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

AWS Big Data

SEPTEMBER 13, 2024

To remain at the forefront of quantitative investing, CFM has put in place a large-scale data acquisition strategy. Some datasets require large or specific compute capabilities that we can’t afford to buy if the trial is a failure. CFM data scientists then look up the data and build features that can be used in our trading models.

Interactive 108

Interactive Strategy Cost-Benefit Data Governance 108

CIO Business Intelligence

SEPTEMBER 12, 2024

One reason is that documents, medical records, emails, images, video, and audio and so on, are almost impossible to prepare, manage, and use in AI applications before recent technological strides in areas such as AI, computer vision, and large language models such as those used in generative AI.

Unstructured Data 112

Unstructured Data Deep Learning Metadata Structured Data 112

CIO Business Intelligence

FEBRUARY 26, 2024

Education starts with prompt engineering, the art and science of framing prompts that steer Large Language Models (LLMs) towards desired outputs. Learning the proper coding prompts can help software developers use LLMs to create and debug software , as well as increase their skills working with natural language processing (NLP).

Software 111

Software Modeling Technology Marketing 111

CIO Business Intelligence

MARCH 7, 2023

OpenAI’s text-generating ChatGPT, along with its image generation cousin DALL-E, are the most prominent among a series of large language models, also known as generative language models or generative AI, that have captured the public’s imagination over the last year. That’s incredibly powerful.”

Enterprise 116

Enterprise IT Unstructured Data Experimentation 116

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Programming Language (R or Python). Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models. For academics and domain experts, R is the preferred language.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

Ontotext

NOVEMBER 29, 2024

But even though technologies like Building Information Modelling (BIM) have finally introduced symbolic representation, in many ways, AECO still clings to outdated, analog practices and documents. Here, one of the challenges involves digitizing the national specifics of regulatory documents and building codes in multiple languages.

Modeling 59

Modeling Structured Data Technology Data Transformation 59

Domino Data Lab

FEBRUARY 19, 2021

spaCy is a python library that provides capabilities to conduct advanced natural language processing analysis and build models that can underpin document analysis, chatbot capabilities, and all other forms of text analysis. brings many improvements to help build, configure and maintain your NLP models, including. import spacy.

Enterprise 119

Enterprise Data Science Modeling Visualization 119

CIO Business Intelligence

SEPTEMBER 17, 2024

Most enterprise data traditionally, according to Nucleus Research CEO Ian Campbell, stores structured in tables or spreadsheets, but a large amount of valuable information exists in unstructured formats like video, audio, and text. This ensures faster, more accurate customer interactions.

Unstructured Data 93

Unstructured Data Enterprise Software Metadata 93

AWS Big Data

SEPTEMBER 19, 2023

It was designed to manage complex queries and business intelligence (BI) use cases on a large scale. We decided to explore streaming analytics solutions where we can capture, transform, and store event streams at scale, and serve rule-based fraud detection models and machine learning (ML) models with milliseconds latency.

Analytics 109

Analytics Risk Big Data Machine Learning 109

AWS Big Data

AUGUST 6, 2024

Pinot has been tested at very large scale in large enterprises, serving over 70 LinkedIn data products , handling over 120,000 Queries Per Second (QPS), ingesting over 1.5 In Apache Pinot, tables are tagged with an identifier that’s used for routing queries to the appropriate servers. First, bootstrap the AWS CDK.

OLAP 110

OLAP Analytics Visualization Dashboards 110

CIO Business Intelligence

APRIL 24, 2024

Many see the high price tag of initial offerings and a lack of understanding as to how workflows will need to be adjusted to truly capture the value of copilots as deterrents to signing on for the added functionality. The announcement comes amid reluctance among some CIOs regarding the ROI of generative AI copilots.

Enterprise 128

Enterprise Digital Transformation Consulting Uncertainty 128

The Data Visualisation Catalogue

JANUARY 24, 2023

For those unaware, ChatGPT is a large language model developed by OpenAI. Probably it would have been better here to write that Bar Charts can’t handle large datasets well. Limited knowledge ChatGPT is a machine learning model that was trained on a dataset of text up to the year 2021.

Visualization 113

Visualization Interactive Data-driven Testing 113

Domino Data Lab

SEPTEMBER 9, 2019

This article provides a brief introduction to natural language using spaCy and related libraries in Python. This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. Introduction. Getting Started.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. What are large language models?

Modeling 83

Modeling Enterprise Software Data Science 83

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Factory.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

JULY 23, 2024

Robin Roacho, lead FinOps financial analyst at SADA, says, “CIOs should be mindful of increasing cloud costs without clear justification,” and recommends: When establishing cost ownership, ensure that resources are labeled and tagged. Confirm that the financial models accurately explain budget-to-actual variances.

Risk 142

Risk IT Risk Management Cost-Benefit 142

AWS Big Data

FEBRUARY 29, 2024

Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. From the raw zone in Amazon S3, the objects need to be processed before they can be consumed by downstream generative AI models.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

Ontotext

JUNE 24, 2020

A single GraphQL model acts as a language and grammar that aids communication between developers, domain experts and clients. Web Annotation GraphQL Service. Find Annotations with Droid tags. As you model and engineer a large knowledge graph it can become very difficult to manage complexity. Count Dooku.

Modeling 64

Modeling Technology IT Management 64

Cloudera

JANUARY 30, 2019

Trusted by large data science teams across hundreds of enterprises —. Cloudera Data Science Workbench is a web-based application that allows data scientists to use their favorite open source libraries and languages — including R, Python, and Scala — directly in secure environments, accelerating analytics projects from research to production.

Data Science 76

Data Science Machine Learning Experimentation Visualization 76

CIO Business Intelligence

SEPTEMBER 12, 2023

They conjure mistakes out of thin air There’s something almost magical about the way large language models (LLMs) write 1,000-word essays on obscure topics like the mating rituals of sand cranes or the importance of crenulations in 17th century Eastern European architecture.

Enterprise 125

Enterprise Consulting Technology IT 125

IBM Big Data Hub

APRIL 18, 2024

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

Ontotext

MARCH 13, 2024

OTKG models information about Ontotext, combined with content produced by different teams inside the organization. Our standard methodology for such projects is to start by defining competency questions that would help us understand what we need to model in our graph. This is graph-based tagging, so the mentions are not just keywords.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

Laminar Security

DECEMBER 13, 2023

ML, a subset of AI, involves training models on existing data sets so they can make predictions or decisions without being explicitly programmed to do so. This advanced approach not only enhances the efficiency of detection models but also yields more insightful and valuable outcomes.

Data-driven 119

Data-driven Machine Learning Deep Learning Risk 119

Data Science 101

OCTOBER 12, 2023

“In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious.” I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious.

Finance 64

Finance Machine Learning Interactive Manufacturing 64

Cloudera

JUNE 26, 2023

For data engineering teams, Airflow is regarded as the best in class tool for orchestration (scheduling and managing end-to-end workflow) of pipelines that are built using programming languages like Python and SPARK. Impala vs Spark Use Impala primarily for analytical workloads triggered by end users.

Data Processing 76

Data Processing Testing Visualization Data Science 76

Jet Global

JULY 2, 2019

“If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state.” What’s in a Data Lake? ” – James Dixon.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

AUGUST 15, 2023

From healthcare to manufacturing, this year’s award winners span a wide range of industries, proving once again the impact information technology has in reshaping business and society at large. In partnership with OpenAI and Microsoft, CarMax worked to develop, test, and iterate GPT-3 natural language models aimed at achieving those results.

IT 98

IT Manufacturing IoT Cost-Benefit 98

AWS Big Data

SEPTEMBER 29, 2023

By analyzing XML files, organizations can easily integrate data from different sources and ensure consistency across their systems, However, XML files contain semi-structured, highly nested data, making it difficult to access and analyze information, especially if the file is large and has complex, highly nested schema. Choose Add classifier.

Metadata 71

Metadata Visualization Data-driven Optimization 71