David Menninger's Analyst Perspectives

MAY 9, 2024

Large language models (LLMs) and generative AI (GenAI) have taken the AI world by storm. In fact, we assert that through 2026, one-half of all AI investments will be based on generative rather than predictive AI. My colleague Rob Kugel has written about how AI can improve productivity and benefit the Office of Finance.

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Finance Sales Data Integration Marketing 130

CIO Business Intelligence

MAY 9, 2024

That move was expected to help SAP exploit the natural language processing capabilities of Watson AI along with predictive insights, with the aim of jointly developing large language models (LLMs) and generative AI capabilities. Enterprise Applications, Generative AI, IBM, SAP

Consulting 92

Consulting Digital Transformation Manufacturing Enterprise 92

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. They also need to understand the vitality of quality data for AI success, as well as governance frameworks to ensure responsible and ethical use of AI.

Risk Management 129

Risk Management Risk Cost-Benefit Technology 129

Cloudera

MAY 9, 2024

In fact, Gartner predicts the AI software market will grow from $124 billion in 2022 to $297 billion in 2027. As a data platform company, Cloudera has two very clear priorities. First, we need to help customers get AI models based on trusted data into production faster than ever.

Dashboards 71

Dashboards Machine Learning Data-driven Visualization 71

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Visualization

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

MAY 9, 2024

Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

Optimization 62

Optimization Analytics Marketing Enterprise 62

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Workshop video modules include: Breaking down data silos. Developing a data-sharing culture.

Data Analytics

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More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions.

Machine Learning