CIO Business Intelligence

FEBRUARY 12, 2024

4 Additionally, while 63% have guardrails in place to use AI safely, these organizations worry about its role in misinformation, ethical bias and job loss among other risks, Wavestone found. You’ll also convene workshops articulating strategy and build consensus around what organizational readiness will look like.

IT 117

IT Consulting Cost-Benefit Uncertainty 117

Jedox

MAY 7, 2020

For example, advanced data analysis can provide insight that reveal new opportunities, reducing workloads while also reducing the risk of error. Are they willing to setup a feasibility workshop with you? Uncertainty comes in so many forms in business, and a defined path to integrated planning supports reducing those uncertainties.

Uncertainty 86

Uncertainty Digital Transformation Finance Risk 86

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.” This allowed us to derive insights more easily.”

Digital Transformation 85

Digital Transformation Cost-Benefit Informatics Data mining 85

CIO Business Intelligence

APRIL 6, 2022

If anything, the past few years have shown us the levels of uncertainty we are facing. Infosys Living labs is a set of well-orchestrated innovation services for future-proofing customer businesses and de-risking their emerging technology transformations.

Experimentation 80

Experimentation Data Lake Uncertainty Enterprise 80

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. They also leverage ideas from design thinking workshops where platform users and stakeholders are encouraged to think big.

Data-driven 87

Data-driven IT Measurement Cost-Benefit 87

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Jupyter Community Workshop , Jun 22-23, Córdoba. Because of compliance.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Domino Data Lab

JULY 22, 2019

What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. You see these drivers involving risk and cost, but also opportunity. They’re being told they have to embrace uncertainty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109