IBM Big Data Hub

JANUARY 16, 2024

A finely tuned product development strategy is a holistic, cross-collaborative endeavor with the capacity to help any organization weather unforeseen events or market changes. Why is a strong product development strategy important? Consumers have access to more information than ever to compare products and brands.

Strategy 74

Strategy Cost-Benefit Manufacturing Testing 74

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. It’s the most revolutionary technological development in at least a generation.

Insurance 83

Insurance Risk Data-driven Finance 83

DataRobot

DECEMBER 6, 2021

Data scientists have been so preoccupied with whether they could build an algorithm, they didn’t stop to think about whether they should. In January 2020, the World Economic Forum published the Implementation and Self-Assessment Guide for Organizations. Narrow Intelligence is Brittle. When the world changes (e.g.,

Data-driven 52

Data-driven Risk Publishing Risk Management 52

IBM Big Data Hub

JUNE 26, 2023

By infusing artificial intelligence (AI) into IT operations , you can leverage the considerable power of natural language processing and machine learning models to automate and streamline operational workflows. Plus, we have practical next steps to guide your AIOps journey. But where to start? of global electricity use.

Digital Transformation 52

Digital Transformation Cost-Benefit Data-driven ROI 52

The Unofficial Google Data Science Blog

JANUARY 31, 2017

Take, for instance, how each field views the provenance of the training data when building predictive models. Take, for instance, how each field views the provenance of the training data when building predictive models. In this case, whether or not we decide to carry an umbrella clearly doesn't affect the weather.

Machine Learning 74

Machine Learning Modeling Statistics Predictive Modeling 74

Ontotext

MAY 16, 2024

There is a confluence of activity – including generative AI models, digital twins, and shared ledger capabilities – that are having a profound impact on enterprises. The goal at this stage of development is to build a scalable and resilient semantic graph as a data hub for all business-driven use cases.

Enterprise 52

Enterprise Data-driven Business Objectives Cost-Benefit 52

bridgei2i

OCTOBER 7, 2020

In days ahead, digital transformation will be the saviour and guide of the industry. But in the crisis, itself lies an opportunity; insurers can use these constraints to devise solutions that can help tide over the crisis and build robust systems for better resilience and challenges of the future. click here. click here.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

IBM Big Data Hub

APRIL 4, 2024

Get the COO’s Pocket Guide to Enterprise-wide Intelligent Automation 3 main types of business process management Integration-centric BPM focuses on processes that don’t require much human involvement. Business Process Management (BPM) is a systematic approach to managing and streamlining business processes.

Management 54

Management Cost-Benefit Metrics Consulting 54

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

IBM Big Data Hub

SEPTEMBER 18, 2023

This is largely driven by a realization that we’ve crossed a new threshold with respect to AI maturity, introducing a new, wider spectrum of possibilities, outcomes and cost benefits to society as a whole. How do you secure AI models? In other words, to secure AI, we are not confined to the models and data solely.

Modeling 80

Modeling Enterprise Testing Data-driven 80

DataKitchen

NOVEMBER 27, 2024

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. This blog delves into the six distinct types of data quality dashboards, examining how each fulfills a specific role in ensuring data excellence.

Data Quality 215

Data Quality Dashboards Metrics Cost-Benefit 215

Jet Global

MARCH 28, 2025

Therefore, in this blog, we will learn industry leaders’ best practices for Financial Planning & Analysis (FP&A). Cross-Functional Collaboration: Partnering with various departments, involving them in the goal-setting process, gathering inputs, and providing financial insights. What does this mean?

Forecasting 52

Forecasting Finance Metrics Reporting 52

Ontotext

AUGUST 21, 2024

There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming data driven. This is where building a Graph CoE becomes a critical asset because the journey to efficiency and enhanced capability must be guided.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52