Marktechpost

SEPTEMBER 18, 2024

model, with 1.54 This model is suited for applications requiring deeper understanding and longer context lengths, including research, data analysis, and technical writing. 72B model represents the top-tier variant with 72 billion parameters, positioning it as a competitor to some of the most advanced LLMs.

Large Language Models 113

Large Language Models Machine Learning Software Development Business Intelligence 113

AWS Machine Learning Blog

JUNE 25, 2024

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.

Automation 126

Automation Prompt Engineer Prompt Engineering Categorization 126

Marktechpost

JULY 3, 2023

Artificial Intelligence systems can process and analyze vast amounts of data, identify patterns, and generate insights that drive decision-making and automation. The preparatory expert phase can be flexibly managed by internal or external resources with data science expertise , such as the Neural Concept team.

Deep Learning 125

Deep Learning Machine Learning Neural Network Artificial Intelligence 125

ODSC - Open Data Science

FEBRUARY 12, 2024

However, AI can feature prejudices of its own, even increasing human bias in some cases as people use biased models. Removing identifiers in training data that may produce bias is a good start. Ensuring explainability in any AI models you use is equally important, as is reviewing them to ensure you can trust their results.

Data Science 98

Data Science Automation Explainability Data Scientist 98

Marktechpost

SEPTEMBER 7, 2024

Traditional AI models, such as language models (LMs), offer powerful reasoning abilities, while databases provide highly accurate computation at scale. Still, they are inefficient in handling broader, multi-step queries that require interactions across several rows of data or the aggregation of results from multiple tables.

Business Intelligence 57

Business Intelligence Artificial Intelligence Artificial Intelligence Data Analysis 57

Pickl AI

SEPTEMBER 10, 2024

Summary: AI is revolutionising the way we use spreadsheet software like Excel. By integrating AI capabilities, Excel can now automate Data Analysis, generate insights, and even create visualisations with minimal human intervention. You can automatically clean, organise, and analyse large datasets with AI.

Data Analysis 52

Data Analysis Automation Machine Learning AI Tools 52

Bugra Akyildiz

MAY 25, 2024

Articles OpenAI has announced GPT-4o , their new flagship AI model that can reason across audio, vision, and text in real-time. The blog post acknowledges that while GPT-4o represents a significant step forward, all AI models including this one have limitations in terms of biases, hallucinations, and lack of true understanding.

ChatGPT 59

ChatGPT Machine Learning Data Analysis OpenAI 59

Pickl AI

FEBRUARY 19, 2025

The main goal of Data Analytics is to improve decision-making. With the proper Data Analysis, businesses can reduce costs, increase profits, and provide better services. Types of Data Analytics Data Analytics includes different types, each serving a unique purpose.

Data Science 52

Data Science Machine Learning Data Scientist Algorithm 52

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Data Analysis Data Analysis involves cleaning, processing, and analysing data to uncover patterns, trends, and relationships.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

JUNE 6, 2024

Summary: Data scrubbing is identifying and removing inconsistencies, errors, and irregularities from a dataset. It ensures your data is accurate, consistent, and reliable – the cornerstone for effective data analysis and decision-making. Overview Did you know that dirty data costs businesses in the US an estimated $3.1

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

Marktechpost

JULY 23, 2023

A data warehouse is a data management system for data reporting, analysis, and storage. It is an enterprise data warehouse and is part of business intelligence. Data from one or more diverse sources is stored in data warehouses, which are central repositories.

Machine Learning 52

Machine Learning ETL Big Data Data Integration 52

Viso.ai

NOVEMBER 19, 2023

It enables businesses and organizations to analyze calls using the most up-to-date speech and natural language processing technologies effectively. The tool can be integrated with other business intelligence software. is an end-to-end platform designed to help businesses train ML models and applications with remarkable ease.

Computer Vision 97

Computer Vision Machine Learning Natural Language Processing Deep Learning 97

Pickl AI

DECEMBER 5, 2024

For instance, LangChain can build pipelines that automatically scan and summarise large documents, highlight key themes, and even detect sentiment or trends within the data. These insights can then be integrated into business intelligence systems or used for reporting, providing actionable data for decision-making without manual intervention.

Chatbots 52

Chatbots BERT Natural Language Processing Automation 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

Its internal deployment strengthens our leadership in developing data analysis, homologation, and vehicle engineering solutions. This module provides a comprehensive set of tools and abstractions that streamline the process of incorporating and deploying these advanced AI models.

Chatbots 78

Chatbots Categorization LLM Algorithm 78

Unite.AI

NOVEMBER 13, 2024

Today, enterprises need real-time data analysis, advanced analytics, and even predictive capabilities within the familiar spreadsheet format. Large Language Models (LLMs) , advanced AI models capable of understanding and generating human language, are changing this domain.

Large Language Models 264

Large Language Models Data Analysis AI AI 264

AWS Machine Learning Blog

DECEMBER 4, 2024

The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE. Download all three sample data files. This historical data will allow the function to analyze sales trends, product performance, and other relevant metrics over this seven-year period.

Generative AI 106

Generative AI AI AI ML 106

AWS Machine Learning Blog

AUGUST 12, 2024

AWS data engineering pipeline The adaptable approach detailed in this post starts with an automated data engineering pipeline to make data stored in Splunk available to a wide range of personas, including business intelligence (BI) analysts, data scientists, and ML practitioners, through a SQL interface.

ML 122

ML Data Quality AI AI 122

AWS Machine Learning Blog

JULY 10, 2024

Amazon Q can also help employees do more with the vast troves of data and information contained in their company’s documents, systems, and applications by answering questions, providing summaries, generating business intelligence (BI) dashboards and reports, and even generating applications that automate key tasks.

Generative AI 142

Generative AI Machine Learning LLM Automation 142

Pickl AI

APRIL 2, 2024

The Three Types of Data Science Data science isn’t a one-size-fits-all solution. There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Unsupervised Learning: Finding patterns or insights from unlabeled data.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52