IBM Journey to AI blog

OCTOBER 2, 2024

Business intelligence (BI) users often struggle to access the high-quality, relevant data necessary to inform strategic decision making. These challenges can have a far-reaching impact on an organization’s ability to make informed decisions.

Business Intelligence 146

Business Intelligence Data Quality Python Data Extraction 146

Unite.AI

MARCH 5, 2025

AI-powered enterprise search tools are revolutionizing business intelligence, but they come with a significant risk: oversharing sensitive information. Businesses cant adopt these tools without Knostic, and were grateful our investors recognize this. Yet attempts to keep LLMs in check have failed time and time again.

LLM 189

LLM Large Language Models Business Intelligence AI 189

AI News

DECEMBER 9, 2024

Reinforce control over security and privacy Security and data privacy concerns loom large for every business, and with good reason. The best way to reduce the risks is to limit access to sensitive data. This involves doubling down on access controls and privilege creep, and keeping data away from publicly-hosted LLMs.

Explainability 288

Explainability AI AI LLM 288

Unite.AI

FEBRUARY 26, 2025

By collecting primary datadirect insights from seasoned professionalsthese agents provide businesses with proprietary intelligence that goes beyond publicly available information. This, in turn, drives demand for advisory and information services, creating a powerful network effect. This is just the beginning.”

Large Language Models 162

Large Language Models Business Intelligence AI AI 162

Analytics Vidhya

JUNE 22, 2023

In today’s fast-paced business landscape, making informed decisions is essential for the success of organizations. Understanding popular business intelligence tools and their unique features is crucial for harnessing their true potential. However, determining the best choice depends on specific requirements.

Data Analysis 327

Data Analysis Business Intelligence 327

Flipboard

MARCH 8, 2023

Natural language processing (NLP), business intelligence (BI) and analytics have evolved in parallel in recent years. NLP has shown potential to make BI data more accessible. But there is much work ahead to adapt NLP for use in this highly competitive area. Integrated NLP-enabled chatbots have …

Business Intelligence 123

Business Intelligence NLP Natural Language Processing Chatbots 123

Marktechpost

JUNE 29, 2023

The top business intelligence solutions make finding insights into data and effectively communicating them to stakeholders easier. However, most of this information is siloed and can only be put together with the help of specialized business intelligence (BI) tools.

Business Intelligence 98

Business Intelligence Machine Learning Data Analysis Natural Language Processing 98

Unite.AI

MARCH 14, 2025

In an environment where success hinges on data-driven insights, AI arms marketing teams with the power to: Uncover valuable business intelligence: Transform raw data from social platforms into actionable decisions. In todays digital-first world, AI is reshaping how B2B marketers connect with their audience.

Business Intelligence 162

Business Intelligence Automation AI AI 162

Flipboard

MARCH 25, 2025

They search and retrieve trusted information in a database and then limit the scope of how the LLM is used. Theres a potential future in which Copilot will be able to generate answers to research questions that will include information from the public internet and from internal data sources and perhaps third-party vendor databases.

Large Language Models 144

Large Language Models ChatGPT Explainability OpenAI 144

Flipboard

NOVEMBER 22, 2024

We are excited about the potential productivity gain and acceleration for generative-AI application development with Bedrock Flows.” – Laura Skylaki, VP of Artificial Intelligence, Business Intelligence and Data Platforms at Thomson Reuters. We have successfully leveraged Amazon Bedrock Flows to transform customer experiences.

Generative AI 165

Generative AI Chatbots Machine Learning Software Development 165

Marktechpost

OCTOBER 25, 2024

Researchers from Shanghai Jiao Tong University introduced Agentic Information Retrieval (Agentic IR), a new paradigm that fundamentally changes how IR systems operate. This function g(st, ht, MEM, THT, TOOL) integrates these components in support of dynamic processing and refinement of information by an agent during each stage of interaction.

Prompt Engineering 104

Prompt Engineering Prompt Engineer Business Intelligence Inference Engine 104

AI News

MARCH 17, 2025

For more information, visit: [link] Media contact: Shrinkhal Sharad PR & Communication Lead Tradepass Email: shrinkhals@tradepassglobal.com Phone: + (91) 80 6166 4401 The post The Kingdom’s digital transformation showcased at Smart Data & AI Summit appeared first on AI News.

Artificial Intelligence 197

Artificial Intelligence Artificial Intelligence AI AI 197

AssemblyAI

JANUARY 22, 2025

Modern enterprise conversation intelligence combines superior speech recognition with intelligent analysis to transform raw conversations into actionable business insights. The power of superior Speech AI Superior Speech AI turns messy, unstructured conversations into actionable business intelligence.

Automation 130

Automation AI AI Business Intelligence 130

AI News

OCTOBER 15, 2024

Speed and efficiency : Chatbots and virtual assistants can process information quicker than humans and eliminate wait times for customers. Data-driven decision making Using data-driven decision-making for business decision-making is a strategic approach which will help guide business decisions.

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Machine Learning Chatbots Business Intelligence Automation 296

IBM Journey to AI blog

MAY 17, 2024

Yet, the low adoption rates of business intelligence (BI) tools present a significant hurdle. According to Gartner, although the number of employees that use analytics and business intelligence (ABI) has increased in 87% of surveyed organizations, ABI is still used by only 29% of employees on average.

Business Intelligence 253

Business Intelligence Data Analysis Continuous Learning Data Discovery 253

IBM Journey to AI blog

MAY 9, 2023

There are thousands of business events flowing through every part of your organization every day. These events can provide a wealth of information about what’s actually happening across your business at any moment in time. But operationalizing business events is challenging.

Automation 276

Automation Business Intelligence 276

Unite.AI

APRIL 11, 2025

Integrated systems ensure that payroll doesnt just process information but contributes to broader business intelligence. However, AI can also enhance security through intelligent access controls, real-time monitoring, and automated updates to ensure systems keep pace with the latest regulatory changes.

Automation 147

Automation AI AI Business Intelligence 147

IBM Journey to AI blog

JUNE 29, 2023

Learn more about IBM Planning Analytics Integrated business planning framework Integrated Business Planning (IBP) is a holistic approach that integrates strategic planning, operational planning, and financial planning within an organization.

Data Integration 237

Data Integration Business Intelligence ETL Automation 237

Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. These tools transform raw data into actionable insights, enabling businesses to make informed decisions, improve operational efficiency, and adapt to market trends effectively.

Business Intelligence 52

Business Intelligence ETL Data Mining Data Analysis 52

AI News

OCTOBER 9, 2023

The report also details how current Snowflake customers leverage a number of these partner technologies to enable data-driven marketing strategies and informed business decisions. Snowflake’s report provides a concrete overview of the partner solution providers and data providers marketers choose to create their data stacks.

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ETL Data Platform Business Intelligence Machine Learning 308

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. This framework includes components like data sources, integration, storage, analysis, visualization, and information delivery. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence ETL Data Integration Automation 52

Unite.AI

AUGUST 11, 2024

These expanded features will empower brands to track trends, benchmark against competitors, identify influencers, and generate actionable insights to inform their social media strategies. It allows businesses to monitor brand mentions, track sentiment, and gain audience insights across social networks and the web.

Categorization 300

Categorization AI AI Automation 300

NVIDIA

MARCH 18, 2025

The AgentIQ toolkit also enhances transparency with full system traceability and profiling enabling organizations to monitor performance, identify inefficiencies and gain fine-grained understanding of how business intelligence is generated. See notice regarding software product information.

AI 101

AI AI Business Intelligence Automation 101

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. Key skills include SQL, data visualization, and business acumen. From customer interactions to market trends, every aspect of business generates a wealth of information. What Is Business Intelligence?

Business Intelligence 52

Business Intelligence Data Analysis Data Quality Continuous Learning 52

AWS Machine Learning Blog

MARCH 18, 2025

In the rapidly evolving healthcare landscape, patients often find themselves navigating a maze of complex medical information, seeking answers to their questions and concerns. However, accessing accurate and comprehensible information can be a daunting task, leading to confusion and frustration.

LLM 99

LLM NLP Data Integration AI 99

AI News

OCTOBER 25, 2023

This approach guarantees that clients receive accurate and relevant information tailored to their specific sectors. Briski is a speaker at the event and will be providing a deep dive into business intelligence (BI), illuminating strategies to enhance responsiveness through large language models. “I’ll

Large Language Models 319

Large Language Models Big Data Explainability AI 319

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.

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ESG Metadata AI AI 259

Unite.AI

SEPTEMBER 10, 2023

Such structured data can subsequently be used for diverse purposes, ranging from business intelligence and analytics to machine learning applications. Why is Data Extraction Crucial for Businesses? For businesses to remain competitive, they must harness the power of data. No more manual monitoring.

Data Extraction 306

Data Extraction ETL Automation Auto-complete 306

IBM Journey to AI blog

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. As business processes grew more complex, the data transparency and visibility suffered. This contributed to the need for more analytics by our users. Ultimately, the goal was for the users to “fish for themselves.”

Business Intelligence 160

Business Intelligence Natural Language Processing NLP AI 160

Flipboard

APRIL 11, 2025

Artificial intelligence (AI) is transforming the way businesses analyze data, shifting from traditional business intelligence (BI) dashboards to real-time, automated Naveen Edapurath Vijayan is a Sr Manager of Data Engineering at AWS, specializing in data analytics and large-scale data systems.

Business Intelligence 145

Business Intelligence Artificial Intelligence Artificial Intelligence Automation 145

AWS Machine Learning Blog

APRIL 3, 2025

This information is securely stored in Amazon Simple Storage Service (Amazon S3), promoting durability and ease of access. Analytics and business: Automated workflows and business intelligence Insights dont stop at data collectionStep Functions orchestrates workflows that trigger automated actions.

Computer Vision 97

Computer Vision Automation AI AI 97

IBM Journey to AI blog

OCTOBER 14, 2024

“ Gen AI has elevated the importance of unstructured data, namely documents, for RAG as well as LLM fine-tuning and traditional analytics for machine learning, business intelligence and data engineering,” says Edward Calvesbert, Vice President of Product Management at IBM watsonx and one of IBM’s resident data experts.

Business Intelligence 195

Business Intelligence AI AI Machine Learning 195

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. With watsonx holding the clubs, TruGolf intends to create a “smart caddy” experience to inform their play.

Generative AI 284

Generative AI Large Language Models AI AI 284

Flipboard

MARCH 13, 2025

Services like OpenAIs Deep Research are very good at internet-based research projects like, say, digging up background information for a Vox piece. Generative AIs like Dall-E, Sora, or Midjourney are actively competing with human visual artists; theyve already noticeably reduced demand for freelance graphic design.

Robotics 178

Robotics Automation OpenAI AI 178

Analytics Vidhya

MARCH 16, 2023

The information is taken from one or more data sources, transformed into a target system-compatible format, and then loaded into the target system as part of the ETL process. […] The post Difference Between ETL and ELT Pipelines appeared first on Analytics Vidhya.

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ETL Data Integration Business Intelligence Machine Learning 348

Mlearning.ai

SEPTEMBER 5, 2023

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Here are some of the major pitfalls of traditional BI approaches: Information Loss : Consolidating data from multiple sources inevitably leads to a loss of granularity. Nuances get glossed over and vital details can get buried.

Business Intelligence 52

Business Intelligence Automation Big Data Explainable AI 52