Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities. So, if you have 1 trillion data points (g.,

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Ontotext

APRIL 19, 2024

Image by Gerd Altmann from Pixabay Assisted annotation and other automation methods that can be used for knowledge graph creation and natural language understanding should be more flexible and iterative than they often are. But Ontotext has been investing for over 20 years in the area of natural language processing (NLP) as well.

Metadata 52

Metadata Statistics Interactive Enterprise 52

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 93

Software Modeling Technology Marketing 93

O'Reilly on Data

MARCH 7, 2019

We’re in an exciting decade for natural language processing (NLP). Computers will get as good as humans in complex tasks like reading comprehension, language translation, and creative writing. Meet the language of emergency room triage notes. Yes, emergency rooms have their own language. nausea no vomiting.

Deep Learning 224

Deep Learning Testing Machine Learning Modeling 224

Ontotext

MARCH 13, 2024

We envisioned harnessing the power of our products to elevate our entire content publishing process, thereby facilitating in-depth knowledge exploration. These steps help pave the way to integrate the knowledge graph with large language models (LLMs) and provide state-of-the-art knowledge discovery and exploration.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

CIO Business Intelligence

NOVEMBER 28, 2023

Organizations that become skilled in tapping these vast information resources can gain a significant advantage in delivering actionable insights to key business processes. The creative process of our game developers often begins with a sketch, mood board, or concept art,” Konoval says.

Unstructured Data 117

Unstructured Data Data-driven Visualization Data Quality 117

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

AWS Big Data

OCTOBER 25, 2023

Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS). It can analyze text in multiple languages, detect entities, extract key phrases, determine sentiment, and more.

Unstructured Data 121

Unstructured Data Metadata Management Analytics 121

Ontotext

JULY 13, 2023

The customer and employee experience when using an application is key for companies to have a real impact on their processes and results. Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Sisense

APRIL 30, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. Begin by removing the URLs and HTML tags.

Machine Learning 91

Machine Learning Statistics Modeling IT 91

Alation

JUNE 28, 2022

Local metadata: focuses on departments, functions, or processes. Document type: describes creation, storage, and use during business processes. Create taxonomies and modeling languages: Enrich data analytics by enhancing relationships between data for ensuring consistent modeling outcomes when new data is introduced.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Jet Global

MARCH 4, 2024

Disclose the results of your materiality assessment, the process, and criteria that you used, and the rationale for your choices, using the ESRS as a guide. Data required for ESRS disclosure can be stored across various existing IT systems, depending on the nature and source of the information. What does it mean to tag your data?

Reporting 52

Reporting Management Cost-Benefit Enterprise 52

AWS Big Data

SEPTEMBER 19, 2023

We choose AWS Glue mainly due to its serverless nature, which simplifies infrastructure management with automatic provisioning and worker management, and the ability to perform complex data transformations at scale. This simplified the onboarding process and accelerated the implementation phase.

Analytics 81

Analytics Risk Big Data Machine Learning 81

Smart Data Collective

MARCH 26, 2021

It entails deep learning from its neural networks, natural language processing (NLP), and constant changes based on incoming information. However, machine learning is an underlying dynamic that can improve worker safety during the construction process. This process uses machine learning.

Machine Learning 141

Machine Learning Interactive Deep Learning Technology 141

Smart Data Collective

AUGUST 11, 2022

Artificial Intelligence, in turn, needs to process data to make conclusions. AI also needs continuous process monitoring to ensure that errors are tracked, and there is efficiency. However, using AI to automate business processes is not easy. Human involvement in AI is possible through human labeling.

Data Quality 129

Data Quality Machine Learning Digital Transformation Big Data 129

Sisense

MAY 26, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. Today, text data is everywhere.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

IBM Big Data Hub

APRIL 18, 2024

But, unlike humans, AGIs don’t experience fatigue or have biological needs and can constantly learn and process information at unimaginable speeds. 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.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

Ontotext

NOVEMBER 28, 2023

The aim of the project is to help PAs detect and analyze disinformation from multiple online sources, modalities, and languages. The data to be stored comes from multiple sources, modalities and languages. The project has come a long way since then, so let’s take a look at some highlights as well as Ontotext’s involvement.

Modeling 59

Modeling Reporting IT 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. The first step in processing raw text into an NLP workflow is to tokenize the text into a document object.

Enterprise 119

Enterprise Data Science Modeling Visualization 119

Domino Data Lab

JULY 1, 2021

An example of unstructured text presented to an NER system could be: “President Joe Biden visits Europe in first presidential overseas trip” After processing the input, a NER model could output something like this: [President] Title [Biden] Name visits [Europe] Geography in first presidential overseas trip. The IOB format.

Modeling 111

Modeling Statistics Testing Metrics 111

Smart Data Collective

APRIL 10, 2020

This is achieved through natural language processing. eCommerce software with AI automatically tags, organizes and visually searches content using advanced labeling features. In fact, a big use of AI in the industry is the automation of logistical processes. Email list syncing is another trend in AI automation.

Sales 143

Sales Visualization Marketing Software 143

IBM Big Data Hub

AUGUST 28, 2023

Manually processing data at that scale, however, can prove prohibitively costly and time-consuming. One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. The data collection process should be tailored to the specific objectives of the analysis.

Data mining 54

Data mining Machine Learning Deep Learning Marketing 54

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.” The second is for project staffing.

Enterprise 107

Enterprise IT Experimentation Unstructured Data 107

Alation

JULY 15, 2021

From there, users can select a data domain and enter a search term… Alation’s search bar is text aware and will suggest searches and catch errors as the user types in natural language. Historically, glossaries would become mired in approval processes and human bottlenecks. Where do those suggestions come from? In Conclusion.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

AWS Big Data

SEPTEMBER 29, 2023

In this post, we show how to process XML data using AWS Glue and Athena. Technique 2: Use AWS Glue DynamicFrames with inferred and fixed schemas – The crawler has a limitation when it comes to processing a single row in XML files larger than 1 MB. Use the processed data (in Parquet format) with Athena tables, enabling SQL queries.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Laminar Security

DECEMBER 13, 2023

This is further exacerbated by the employment of outdated processes or solutions that are ill-equipped to cater to the demands of present-day cloud data security. This is where artificial intelligence (AI) steps in, offering innovative solutions to enhance these processes.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Insight

MARCH 12, 2020

Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. The AIgent was built with BERT, Google’s state-of-the-art language model. for example genre tags, ratings, and sales. For my purposes, the most interesting data on Goodreads comes in the form of genre/content tags.

Modeling 59

Modeling Metadata Publishing Sales 59

Smart Data Collective

JUNE 4, 2021

Programming Language (R or Python). For academics and domain experts, R is the preferred language. it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. For academics and domain experts, R is the preferred language. Natural Language Processing (NLP).

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

CIO Business Intelligence

APRIL 15, 2024

Then in December, H&R Block unveiled AI Tax Assist, a gen AI experience intended to help individuals, the self-employed, and small business owners streamline the process of preparing their own taxes. Knowing what I know now, I would’ve focused on source content much earlier in the project,” he says.

Testing 72

Testing Experimentation Data Quality Machine Learning 72

Rocket-Powered Data Science

MARCH 10, 2020

As you read this, just remember the most important message: the natural data structure of the world is not rows and columns, but a graph. From basic concepts to fundamental algorithms, to processing platforms and practical use cases, the authors have compiled an instructive and illustrative guide to the wonderful world of graphs.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

IBM Big Data Hub

SEPTEMBER 13, 2023

The fundamental nature of supply chain is evolutionary, and it has been that way since our craft was born out of the Toyota Production System in the 1950s. They get contextual information as well as factual data (PDFs, visual images, RFID tags information). We think not. ”) or a buyer (“How is my vendor performing?”)

Visualization 68

Visualization Unstructured Data Interactive Technology 68

Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? To start with, Large Language Models (LLM) will not replace databases. From another view, LLMs can help make the process of developing and using knowledge graphs much easier. Atanas Kiryakov: Knowledge graphs will prosper in the ChatGPT era.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

IBM Big Data Hub

SEPTEMBER 20, 2023

With the increasing importance of processing data where work is being performed, serving AI models at the enterprise edge enables near-real-time predictions, while abiding by data sovereignty and privacy requirements. What are large language models? Large language models (LLMs) have taken the field of AI by storm.

Modeling 85

Modeling Enterprise Software Machine Learning 85

IBM Big Data Hub

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

BizAcuity

OCTOBER 21, 2019

Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text. The way forward.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

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.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Ontotext

FEBRUARY 14, 2024

Entity linking is the process of automatically linking entity mentions from text to the corresponding entries in a knowledge base. It has been an important capability for Ontotext ever since we dove into Natural Language Processing (NLP), as it is a crucial aspect of the interplay between text analysis and knowledge graphs.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52