CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. Organisations the world over are in the process of establishing where and how these advancements can add value and edge them closer to their goals.

Data Governance 145

Data Governance IT Risk Data Lake 145

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. Though these concepts may be simple to understand, they aren’t as easy in practice.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

AUGUST 23, 2023

It is the foundation for any AI Governance practice and is crucial in mitigating a number of enterprise risks. Risks of training LLM models on sensitive data Large language models can be trained on proprietary data to fulfill specific enterprise use cases. Some of these risks include: 1. But what does this look like?

Data Governance 54

Data Governance Enterprise Modeling Risk 54

bridgei2i

NOVEMBER 20, 2020

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

Risk Management 92

Risk Management Risk Management Metrics 92

IBM Big Data Hub

APRIL 18, 2024

NLP techniques help them parse the nuances of human language, including grammar, syntax and context. Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. It might suggest a restaurant based on preferences and current popularity.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

IBM Big Data Hub

JULY 19, 2023

Some examples of potential use cases for generative AI in life sciences include but are not limited to: AI for Medical Legal Review (MLR) : Increasing globalization and exponential growth in digital marketing techniques has been putting strain on the already complex, time consuming and challenging process.

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

O'Reilly on Data

FEBRUARY 18, 2020

This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about. ML + AI are up, but passions have cooled. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%.

Data-driven 335

Data-driven Software Statistics Marketing 335

IBM Big Data Hub

JANUARY 30, 2024

Increasingly, enterprise organizations are adopting a multicloud approach—the use of cloud services from more than one cloud vendor—to optimize performance, control costs and prevent vendor lock-in. to total $678.8 billion in 2024, up from $563.6 billion in 2023.

Strategy 98

Strategy Cost-Benefit Risk Optimization 98

AWS Big Data

MARCH 28, 2024

Account reconciliation is an important step to ensure the completeness and accuracy of financial statements. Specifically, companies must reconcile balance sheet accounts that could contain significant or material misstatements. When discrepancies are found, accountants investigate and take appropriate corrective action.

Optimization 79

Optimization IT Big Data Data Processing 79

Insight

MARCH 18, 2019

To address this issue of fairness, I’ve built a python package called fairNN , which quantifies the fairness of a model and uses an adversarial network to help mitigate biases in machine learning models. Techniques for mitigating biases There are several processing techniques commonly used to mitigate the bias of predictive models.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

IBM Big Data Hub

MARCH 20, 2024

Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives. trillion in 2027. trillion in 2027. What is a public cloud? How does public cloud computing work?

Internet of Things 96

Internet of Things Cost-Benefit Data Processing IoT 96