IBM Big Data Hub

NOVEMBER 8, 2023

Large Language Models (LLMs) are at the heart of this new disruption. LLMs are trained on vast amounts of data and can be used across endless applications. Once the foundation model is fine-tuned for semantic understanding, it can better understand business users’ prompts and intents.

Optimization 117

Optimization Data-driven Modeling Enterprise 117

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

JULY 25, 2023

Smart grids turn this model on its head. A smart grid is a digital electricity network that supplies power to consumers using interactive two-way communication, enabling automated, advanced energy delivery and a litany of opportunities for consumers to control their electricity use and costs. Wi-Fi, Z-Wave, Zigbee and 4G/5G).

Optimization 57

Optimization Technology Measurement Cost-Benefit 57

Smart Data Collective

MAY 2, 2019

Large companies around the world are investing in big data. Big data has been especially important for optimizing their marketing campaigns. Local marketing agencies have discovered that SEO is more dependent on big data than ever. They are developing more data driven solutions to offer better search marketing strategies.

Big Data 111

Big Data Optimization Modeling Deep Learning 111

IBM Big Data Hub

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. DL models can improve over time through further training and exposure to more data.

Enterprise 97

Enterprise Interactive Data-driven Key Performance Indicator 97

O'Reilly on Data

JUNE 7, 2022

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more.

Modeling 363

Modeling Interactive Optimization Deep Learning 363

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. Across the industry, the pandemic caused a huge breakdown in model performance due to the change in macroeconomic conditions and government stimulus packages. Observe what the model has to offer even if not the intended output.

Risk 99

Risk Optimization Management Insurance 99

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 66

B2B Interactive Optimization Forecasting 66

CIO Business Intelligence

JANUARY 22, 2024

AI-driven technology is not just a side project anymore. According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction.

Cost-Benefit 101

Cost-Benefit Digital Transformation Data-driven Interactive 101

IBM Big Data Hub

JANUARY 9, 2024

These applications are designed to meet specific business needs by integrating proprietary data and help to ensure more accurate and relevant responses. This trend signals a move toward more efficient and personalized AI-driven business solutions. This approach results in highly personalized customer interactions.

Data-driven 102

Data-driven Risk Modeling Marketing 102

Smart Data Collective

JANUARY 6, 2021

Big data is central to financial management. The market for financial data analytics is expected to reach $10 billion by 2025. One of the biggest uses of big data in finance relates to accounts receivable management. Fortunately, new advances in data technology have made accounts receivable management easier than ever.

Data-driven 94

Data-driven Management Big Data Predictive Analytics 94

erwin

MAY 14, 2021

compliance with the General Data Protection Regulation). Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions.

Data mining 130

Data mining Data-driven Statistics OLAP 130

Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs.

Interactive 79

Interactive Data-driven Cost-Benefit Optimization 79

IBM Big Data Hub

APRIL 15, 2024

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Or we create a data lake, which quickly degenerates to a data swamp. Coupled with search and multi-modal interaction, gen AI makes a great assistant. The manufacturing industry is in an unenviable position.

Manufacturing 95

Manufacturing Contextual Data Knowledge Discovery Data Lake 95

Smart Data Collective

SEPTEMBER 13, 2023

Welcome to 2023, the age where screens are more than mere displays; they’re interactive communication portals, awash with data and always hungry for more. The Intersection of Display and Data Let’s first establish what we’re talking about when we mention digital signage. It’s All About the Data, Baby!

Big Data 112

Big Data Analytics Interactive Advertising 112

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 56

Optimization Forecasting Data-driven Strategy 56

Jet Global

NOVEMBER 12, 2020

Users can quickly reference key metrics, see updated data in real time, and immediately understand the positives and negatives of performance. Optimizing your dashboards is about maximizing their relevance, utility, and accessibility. Drill into the Data. Luckily, all of those factors are within your control.

Dashboards 87

Dashboards Optimization Metrics Data-driven 87

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given observed data X, we can predict some outcome Y. Or more simply: given X, find Y.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Sisense

JUNE 22, 2021

Your customers interact with multiple campaigns: They start with a TV ad, see a Facebook ad, see a Google Ad two days later, discover an SEO-driven blog article, and finally click on an email discount offer to make a purchase. Get a unified view of all your marketing data sources. Multi-touch attribution models explained.

Data-driven 52

Data-driven Sales Marketing Key Performance Indicator 52

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task.

Enterprise 120

Enterprise Modeling Testing Data-driven 120

CIO Business Intelligence

OCTOBER 16, 2023

It’s already optimizing employee experiences and business workflows, including software development. AI-driven tools can assist in overcoming these creative roadblocks by suggesting code patterns, offering auto-completion suggestions and even generating sections of code.

Software 124

Software Data-driven Modeling Machine Learning 124

Laminar Security

DECEMBER 1, 2023

Cloud data security is one of the most critical, yet most challenging aspects of doing business in the age of cloud. As more organizations migrate their data to the cloud, they face an increasing range of risks and threats, including data breaches, data leakage, data loss, data misuse, data compliance violations, shadow data and more.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Occam's Razor

AUGUST 12, 2013

There are few things more complicated in analytics (all analytics, big data and huge data!) than multi-channel attribution modeling. There is lots of missing data. And as if that were not enough, there is lots of unknowable data. You'll know how to use the good model, even if it is far from perfect.

Modeling 161

Modeling Optimization Marketing Interactive 161

CIO Business Intelligence

OCTOBER 16, 2023

The launch of Microsoft-backed OpenAI’s ChatGPT — based on generative AI technology that provides a consumer-ready, conversational interface to large language models — almost instantly spurred what has been likened to a corporate arms race. Where your data comes from, who it comes from, how it’s governed is all very important.

Data-driven 135

Data-driven Software Interactive Technology 135

Smart Data Collective

APRIL 20, 2023

There are many ways businesses are using big data to make better decisions and operate more efficiently Organizations can use big data to optimize expenses and reduce costs. A modern data infrastructure can help get more value from data by accelerating decision making, simplifying operations, and powering analytics.

Internet of Things 133

Internet of Things Cost-Benefit Big Data Data-driven 133

IBM Big Data Hub

NOVEMBER 6, 2023

Enterprises should create personalized experiences for SMBs based on qualitative and quantitative data As SMBs become more cautious about their spending, the enterprises that serve them must drive value through increased personalization. Data-driven personalization is essential in today’s business environment.

Cost-Benefit 104

Cost-Benefit Enterprise ROI Data Warehouse 104

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. At a high level, a CAIO will need to understand the business well enough to identify where AI can make an impact, whether through new value streams or optimization, Daly says.

Risk Management 134

Risk Management Risk Cost-Benefit Technology 134

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Cloudera

MARCH 28, 2024

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

Data Architecture 92

Data Architecture Strategy Data Lake Data-driven 92

CIO Business Intelligence

MAY 15, 2024

GenAI’s ability to rapidly summarize vast quantities of information and provide answers from an established data set is fast making it a hit with incident response teams. But give large language models (LLMs) too much license to “think” and resolve incidents independently, and CIOs may run the risk of dangerous hallucinations.

Machine Learning 116

Machine Learning Risk Data-driven Testing 116

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Analytics 66

Analytics Optimization Data-driven Metrics 66

Smarten

APRIL 19, 2024

OpenAI – Azure OpenAI as the foundational entity for creating GPT models and is based on Large Language Models (LLM). GPT – Is based on a Large Language Model (LLM). Benefits include customized and optimized models, data, parameters and tuning. Open AI was developed by Microsoft.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57