Flipboard

NOVEMBER 13, 2023

To be successful with a graph database—such as Amazon Neptune, a managed graph database service—you need a graph data model that captures the data you need and can answer your questions efficiently. Building that model is an iterative process.

Data Modeling 129

Data Modeling Data Models Database AI 129

KDnuggets

NOVEMBER 17, 2021

With the customer at its heart, modern augmented BI platforms no longer require scripting/coding skills or the knowledge to build the back-end data models, empowering even laymen to harness the power of raw data. As a user, here are the top AI capabilities that you need to look for in BI software.

Data Models 208

Data Models Data Modeling AI AI 208

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. I did not call it object-centric but dynamic data model.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Cassie Kozyrkov

NOVEMBER 13, 2024

Explaining the CPUs, GPUs, and NPUs in Intel ® ’s AI PCs Sponsored by Intel® So there I was — an AI person without an AI laptop. And no, not that kind of AI person; my ability to run an all-day AI workshop with barely a bio break has led a few of you to ask whether I am indeed a member of your species. (It

AI 100

AI AI Natural Language Processing Data Models 100

Hacker News

DECEMBER 18, 2024

Introducing the AI Integrity Suite a first-of-its-kind toolset for creating verifiable provenance and governance for AI data, models, and agents.

Data Models 139

Data Models Data Modeling AI AI 139

Data Science Dojo

APRIL 7, 2025

Ever wonder what happens to your data after you chat with an AI like ChatGPT ? Do you wonder who else can see this data? In the digital age, data is powe r. One of the ways to make sure that data is used responsibly is through data anonymization. Where does it go? Can it be traced back to you?

AI 195

AI AI Machine Learning Machine Learning 195

Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. According to Google AI, they work on projects that may not have immediate commercial applications but push the boundaries of AI research.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Flipboard

NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

AWS 157

AWS Natural Language Processing Machine Learning Machine Learning 157

Data Science Dojo

SEPTEMBER 9, 2024

AI is reshaping the way businesses operate, and Large Language Models like GPT-4, Mistral, and LLaMA are at the heart of this change. The AI market, worth $136.6 yearly through 2030, showing just how fast AI is being adopted. AI governance is about setting rules to make sure AI is used responsibly and ethically.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we explain how InsuranceDekho harnessed the power of generative AI using Amazon Bedrock and Anthropic’s Claude to provide responses to customer queries on policy coverages, exclusions, and more. Continuous model enhancements – Amazon Bedrock provides access to a vast and continuously expanding set of FMs through a single API.

AI 108

AI AI Database AWS 108

Towards AI

FEBRUARY 7, 2024

Author(s): Ashutosh Malgaonkar Originally published on Towards AI. In order for us to start using any kind of data logic on this, we need to identify the board location first. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI.

Data Modeling 111

Data Modeling Data Models Algorithm AI 111

Dataversity

AUGUST 12, 2024

One of the most important questions about using AI responsibly has very little to do with data, models, or anything technical. There’s a set of beliefs driven by over-exuberant AI hype – that AI is going to revolutionize everything! It has to do with the power of a captivating story about magical thinking.

AI 105

AI AI Data Models Data Modeling 105

Dataconomy

AUGUST 7, 2023

Artificial intelligence is no longer fiction and the role of AI databases has emerged as a cornerstone in driving innovation and progress. An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications.

Database 168

Database AI AI ML 168

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. What are GPTs for data science? This custom GPT is created by Open AI’s ChatGPT.

Data Science 356

Data Science Data Analysis Data Analysis Machine Learning 356

Women in Big Data

APRIL 4, 2025

Women in Big Data and LinkedIn hosted an empowering event The Responsible AI at Scale in LinkedIn HQ in Sunnyvale, CA on March 13 th , 2025, for people passionate about ethics, transparency and shaping the AI technologies of the future.

Big Data 52

Big Data Big Data AI AI 52

insideBIGDATA

JANUARY 19, 2023

I recently caught up with David Willingham, Principal Product Manager, MathWorks to discuss the evolution of data-centric AI and how engineers can best navigate – and benefit from – the transition to data-focused models within deep learning environments.

Deep Learning 280

Deep Learning Deep Learning AI AI 280

AWS Machine Learning Blog

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks.

AWS 118

AWS Python Machine Learning Machine Learning 118

Hacker News

NOVEMBER 19, 2024

About the Role TigerEye is an AI Analyst for everyone in go-to-market. We track the changes in a company’s business to deliver instant, accurate answers to complex questions through a simple app.

Computer Science 158

Computer Science Computer Science ML ML 158

Flipboard

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. Text, images, audio, and videos are common examples of unstructured data. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.

AWS 165

AWS ML ML Analytics 165

Smart Data Collective

OCTOBER 20, 2021

As per the TDWI survey, more than a third (nearly 37%) of people has shown dissatisfaction with their ability to access and integrate complex data streams. Why is Data Integration a Challenge for Enterprises? How Can AI Transform Data Integration? This speeds up data transformation and decision-making.

ML 133

ML ML Big Data Big Data 133

Dataconomy

OCTOBER 15, 2024

With this wave, it brought an even more potent force: Generative AI, otherwise known as Gen AI, which changed the way developers (novice and expert) interact with LCNC platforms. This article discusses how gen AI is driving innovation in low-code software development, with regards to the technological aspects and implications.

AI 127

AI AI Database Natural Language Processing 127

Iguazio

JULY 22, 2024

AI and generative Al can lead to major enterprise advancements and productivity gains. One popular gen AI use case is customer service and personalization. Gen AI chatbots have quickly transformed the way that customers interact with organizations. Another less obvious use case is fraud detection and prevention.

AI 132

AI AI ML ML 132

IBM Journey to AI blog

JUNE 28, 2024

Generative AI is shaping the future of telecommunications network operations. In addition to these capabilities, generative AI can revolutionize drive tests, optimize network resource allocation, automate fault detection, optimize truck rolls and enhance customer experience through personalized services.

AI 86

AI AI Analytics Analytics 86

Towards AI

JUNE 26, 2024

Last Updated on June 29, 2024 by Editorial Team Author(s): Anish Dubey Originally published on Towards AI. Context We have repeatedly seen that increasing the model parameters results in better performance (GPT-1 has 117M parameters, GPT-2 has 1.5B But the next set of questions is how to scale the AI model.

Data Modeling 73

Data Modeling Data Models AI AI 73

Data Science Blog

AUGUST 22, 2024

Sponsored Post Generative AI is a significant part of the technology landscape. The effectiveness of generative AI is linked to the data it uses. Similar to how a chef needs fresh ingredients to prepare a meal, generative AI needs well-prepared, clean data to produce outputs.

Data Preparation 130

Data Preparation Data Quality AI AI 130

IBM Journey to AI blog

MARCH 29, 2024

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. If you’re currently using traditional AI, advanced analytics, and intelligent automation, aren’t you already getting deep insights into asset performance?

AI 104

AI AI Artificial Intelligence Artificial Intelligence 104

Towards AI

JANUARY 11, 2024

Last Updated on January 12, 2024 by Editorial Team Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Exploring the way to perform tabular data science activity with LLMImage developed by DALL.E Large Language Models have been rising recently and will be like that in the upcoming year. How do we do?

Python 126

Python Clean Data SQL Data Science 126

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

The Data Administration Newsletter

JANUARY 17, 2024

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

AI 122

AI AI Data Quality Data Governance 122

DataRobot

DECEMBER 16, 2021

Taking Text AI to the Next Level. While it is easy to accumulate text data, it can be extremely difficult to analyze text due to the ambiguity of human language. It is precisely because of the large volume and complexities of navigating unstructured data that DataRobot has focused on assisting our users to unlock insights from text.

AI 98

AI AI Exploratory Data Analysis Clustering 98

IBM Journey to AI blog

MAY 29, 2024

As businesses strive to deliver cutting-edge solutions at an unprecedented pace, generative AI is poised to transform every stage of the software development lifecycle (SDLC). A McKinsey study shows that software developers can complete coding tasks up to twice as fast with generative AI.

Data Models 87

Data Models Data Modeling Database AI 87

Data Science Connect

JULY 21, 2024

AtScale is a data and analytics platform that provides a semantic layer solution, enabling users to bridge AI and BI by offering a unified view of data. AtScale integrates with major BI and cloud data platforms, allowing for seamless data access and analytics governance.

Business Intelligence 100

Business Intelligence Business Intelligence Cloud Data Data Models 100

Pickl AI

MARCH 17, 2025

It is essential for creating new insights from existing data models in Power BI. Familiarity with Excel formulas can help, but DAX syntax is unique in its application to data model. Calculated Columns: New columns added to your data model based on DAX formulas, useful for deriving new data points from existing ones.

Power BI 52

Power BI Data Analysis Data Analysis Data Models 52

phData

SEPTEMBER 27, 2024

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

Smart Data Collective

MAY 29, 2023

The world of artificial intelligence (AI) is constantly changing, and we must be vigilant about the issue of bias in AI. AI translation systems, particularly machine translation (MT), are not immune to this, and we should always confront and overcome this challenge.

AI 96

AI AI Algorithm Artificial Intelligence 96

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business. An MLflow 2.16.2

AWS 96

AWS ML ML Data Scientist 96

AWS Machine Learning Blog

FEBRUARY 21, 2025

With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. Apache Hive was used to provide a tabular interface to data stored in HDFS, and to integrate with Apache Spark SQL. HBase is employed to offer real-time key-based access to data.

Data Science 74

Data Science AWS Hadoop Data Scientist 74