IBM Journey to AI blog

AUGUST 7, 2024

By equipping partners with the latest gen AI technologies, expertise and support, we’re helping them make an impact across industries, including financial services , IT , sales, business intelligence and sports.

Generative AI 284

Generative AI Large Language Models AI AI 284

IBM Journey to AI blog

OCTOBER 16, 2023

The development and use of these models explain the enormous amount of recent AI breakthroughs. “With the development of foundation models, AI for business is more powerful than ever,” said Arvind Krishna, IBM Chairman and CEO. “Foundation models make deploying AI significantly more scalable, affordable and efficient.”

Metadata 220

Metadata Explainability Automation Explainable AI 220

IBM Journey to AI blog

OCTOBER 12, 2023

Explainable AI — Explainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks. Key to explainable AI is the ability to automatically compile information on a model to better explain its analytics decision-making.

Data Scientist 234

Data Scientist Metadata Responsible AI Explainability 234

IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

ESG 259

ESG Metadata AI AI 259

AWS Machine Learning Blog

APRIL 3, 2025

In the following sections, we explain how AI Workforce enables asset owners, maintenance teams, and operations managers in industries such as energy and telecommunications to enhance safety, reduce costs, and improve efficiency in infrastructure inspections. In this post, we introduce the concept and key benefits.

Computer Vision 97

Computer Vision Automation AI AI 97

Mlearning.ai

SEPTEMBER 5, 2023

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Manual analysis simply cannot keep pace with the speed of business. The Need for AI-Powered Business Intelligence To gain a competitive edge, organizations need to move beyond consolidated data and manual analysis.

Business Intelligence 52

Business Intelligence Automation Big Data Explainable AI 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Together, watsonx offers organizations the ability to: Train, tune and deploy AI across your business with watsonx.ai

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

IBM Journey to AI blog

OCTOBER 17, 2024

IBM® Cognos® Analytics has long been recognized as the gold standard in business intelligence (BI). But what many might not know is how Cognos Analytics has seamlessly integrated artificial intelligence (AI) to revolutionize users’ BI experience. Business intelligence is no longer limited to BI specialists.

Data Discovery 146

Data Discovery Business Intelligence Automation Explainability 146

Flipboard

MARCH 13, 2025

OpenAI engineer Wojciech Zaremba explained on a podcast that year that the company had determined there was not enough real-world data of how to move in the real world to keep making progress on the robot.

Robotics 178

Robotics Automation OpenAI AI 178

Marktechpost

APRIL 24, 2024

Power BI is a business intelligence (BI) tool developed by Microsoft for creating dashboards and reports. Learn Power BI This book goes through the fundamentals of business intelligence projects, covering the latest features of Power BI. The book also explains the ways the data model and DAX measures can be optimized.

Business Intelligence 112

Business Intelligence Artificial Intelligence Artificial Intelligence Machine Learning 112

Defined.ai blog

AUGUST 10, 2023

Explainable AI (XAI) As AI models become more complex, understanding how they arrive at decisions becomes crucial, especially in a heavily regulated sector like finance. Explainable AI aims to make AI decision-making processes transparent and understandable. Giving them the right to opt out of data collection.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network Data Quality 52

ODSC - Open Data Science

MARCH 10, 2025

Tools like Python , R , and SQL were mainstays, with sessions centered around data wrangling, business intelligence, and the growing role of data scientists in decision-making. Topics such as explainability (XAI) and AI governance gained traction, reflecting the growing societal impact of AI technologies.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

AWS Machine Learning Blog

APRIL 30, 2024

If you want to learn more about how to set up and administer Q Business, check out the News Blog: Amazon Q Business. Generative BI allows analysts and business users to build detailed dashboards in minutes Amazon QuickSight is AWS’s unified Business Intelligence (BI) service built for the cloud.

Business Intelligence 125

Business Intelligence Generative AI Software Development Artificial Intelligence 125

ODSC - Open Data Science

FEBRUARY 12, 2024

It’s often hard to extract value from predictive models because they lack explainability and can be challenging to implement effectively. 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

ODSC - Open Data Science

FEBRUARY 24, 2023

This business intelligence and user experience tool allows you to build interactive dashboards, models for cleaning tables, and set up alerts to notify users when your data changes. The tool is a full-stack BI platform, so analysts can write their metrics in-house, enabling the entire business to work with the data with ease.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

ODSC - Open Data Science

FEBRUARY 13, 2025

Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications. She explained how to integrate structured (SQL, CSV) and unstructured data (documents, Slack messages) into Neo4js graph database to create a more context-aware AI system.

Large Language Models 52

Large Language Models AI AI Automation 52

Marktechpost

APRIL 19, 2024

Mastering Tableau 2023 This guide teaches how to build advanced business intelligence solutions using Tableau’s newest updates. The book explores multiple ways anomalies can be detected and visualized and explains the way regression models, forecasting, and clustering can be implemented in the tool.

Explainability 104

Explainability Python Business Intelligence Machine Learning 104

Marktechpost

MAY 12, 2024

SEON SEON is an artificial intelligence fraud protection platform that uses real-time digital, social, phone, email, IP, and device data to improve risk judgments. It is based on adjustable and explainable AI technology. They automate insights using business intelligence (BI), analytics, and low-code and pro-code applications.

AI Tools 103

AI Tools Neural Network Artificial Intelligence Artificial Intelligence 103

IBM Journey to AI blog

JUNE 17, 2024

Clearly explaining how generative AI will protect and process customer data can foster engagement, loyalty and trust as customers get more comfortable with generative AI. Apps powered by generative AI can capture data about users’ exercise habits, sleep patterns, diet and biometrics, and summarize the results.

Generative AI 233

Generative AI AI AI AI Strategy 233

AWS Machine Learning Blog

NOVEMBER 19, 2024

Reserve your seat now BSI101: Reimagine business intelligence with generative AI Monday December 2 | 1:00 PM – 2:00 PM PT In this session, get an overview of the generative AI capabilities of Amazon Q in QuickSight. Leave the session inspired to bring Amazon Q Apps to supercharge your teams’ productivity engines.

ML 88

ML Generative AI AI AI 88

IBM Journey to AI blog

JANUARY 18, 2023

Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. The concepts will be explained. Data platform architecture has an interesting history. It was Datawarehouse.

Data Platform 130

Data Platform ETL Metadata Data Discovery 130

IBM Journey to AI blog

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. .” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7

Machine Learning 225

Machine Learning Automation AI AI 225

Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science.

Data Science 105

Data Science Big Data Data Mining Deep Learning 105

Towards AI

JANUARY 27, 2025

Are you willing to monitor or postprocess the AIs responses to keep them aligned with your business policies? Are you comfortable explaining these constraints in board meetings or to the public? Key Questions: Will you be comfortable with possible official or heavily filtered replies from your chatbot?

Chatbots 98

Chatbots Business Intelligence Explainability AI 98

IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog automates the process of contextualizing data assets by using: Business metadata to describe an asset’s content and purpose. A business glossary to explain the business terms used within a data asset. Technical metadata to describe schemas, indexes and other database objects.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

AWS Machine Learning Blog

FEBRUARY 28, 2025

This post explains how to integrate Smartsheet with Amazon Q Business to use natural language and generative AI capabilities for enhanced insights. Overview of the Smartsheet connector for Amazon Q Business By integrating Smartsheet as a data source in Amazon Q Business, you can seamlessly extract insights.

Generative AI 64

Generative AI Metadata ML Automation 64

AWS Machine Learning Blog

OCTOBER 9, 2024

Using Amazon QuickSight for anomaly detection Amazon QuickSight is a fast, cloud-powered, business intelligence service that delivers insights to everyone in the organization. Exporting Anomalies explains how to connect to a detector, query for anomalies, and download them into a format for later use.

Data Quality 84

Data Quality ML Machine Learning ETL 84

Towards AI

JANUARY 27, 2023

Later we went to automate this to complete Business Intelligence and Reporting tool having aggregated and detailed charts. A UI interface was built to provide relevant filters such that only required data could be downloaded by the users, such as team-wise access to limited reports.

Data Analysis 98

Data Analysis Data Science Software Engineer Business Intelligence 98

Marktechpost

NOVEMBER 13, 2024

Anyone who works with data, whether they are an IT specialist, business analyst, or data scientist, must be aware of their distinctions. Data modeling and data analysis have been thoroughly compared in this article, which also explains their definitions, main distinctions, types, procedures, and advantages.

Data Analysis 79

Data Analysis Machine Learning Data Science Data Scientist 79

AWS Machine Learning Blog

SEPTEMBER 6, 2023

In this post, we build a secure enterprise application using AWS Amplify that invokes an Amazon SageMaker JumpStart foundation model, Amazon SageMaker endpoints, and Amazon OpenSearch Service to explain how to create text-to-text or text-to-image and Retrieval Augmented Generation (RAG).

Generative AI 115

Generative AI Large Language Models AI AI 115

ODSC - Open Data Science

JUNE 2, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? A shift has been trending in Analytics and Business Intelligence where we’re seeing more and more analysts taking center stage to better enable the decision-maker by bridging the gap between data and the insights drawn from it.

Business Intelligence 52

Business Intelligence Data Science Composite AI Automation 52

AWS Machine Learning Blog

OCTOBER 2, 2024

For example, you can use AWS data analytics services such as Amazon Redshift for data warehousing, AWS Glue for data integration, and Amazon QuickSight for business intelligence (BI). Ask the model to self-explain , meaning provide explanations for their own decisions.

Generative AI 115

Generative AI Data Ingestion AI AI 115

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 119

Automation Prompt Engineering Prompt Engineer Categorization 119

Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. Explainable AI (XAI) aims to provide insights into how neural networks make decisions, helping stakeholders understand the reasoning behind predictions and classifications.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

ODSC - Open Data Science

OCTOBER 30, 2023

In the digital era, data visualization stands as an indispensable tool in the realm of business intelligence. By harnessing the power of visual grammar rules and frameworks like the McCandless Method or Kaiser Fung’s Junk Charts Trifecta Checkup, you can elevate your business intelligence strategy to new heights.

Business Intelligence 52

Business Intelligence Data Science Explainability AI 52

AWS Machine Learning Blog

APRIL 24, 2024

Other users provided scores and explained how they justify the LLM answers in their notes. Luca Cerabone is a Business Intelligence Engineer at Amazon. Some users simply left a note, such as “Great!” for the strongly agree answers, or “Doesn’t answer the question,” for the strongly disagree answers.

LLM 128

LLM AI AI Generative AI 128

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025.

Explainable AI 52

Explainable AI Explainability ETL Automation 52