CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. Putting data in the hands of the people that need it.

Machine Learning 93

Machine Learning Data Architecture Uncertainty Data-driven 93

CIO Business Intelligence

MARCH 14, 2022

Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”. This acknowledges that the purpose of measurement is to reduce uncertainty. And the purpose of reducing uncertainty is to make better decisions. I call this point data saturation.

Uncertainty 80

Uncertainty Measurement Cost-Benefit Optimization 80

CIO Business Intelligence

FEBRUARY 14, 2024

While the past few years have left us with a business landscape scarred by the impact of economic and geopolitical uncertainties, the current AI movement has become a rocket ship for significant transformative changes set to accelerate new opportunities. That’s why business and tech leaders must build for the future now.

Data-driven 70

Data-driven Uncertainty Enterprise Business Objectives 70

CIO Business Intelligence

OCTOBER 23, 2023

In today’s uncertain economic landscape, it is no surprise that organizations are driven to optimize business costs. All of these present challenges for IT professionals within their day-to-day activities in data centers. It’s a win-win scenario when moving to an as-a-service model.

Cost-Benefit 81

Cost-Benefit Uncertainty Digital Transformation Optimization 81

Jet Global

APRIL 9, 2023

When you think about skills shortages, investing in data literacy isn’t the first action that comes to mind. Enabling your existing workforce to be more productive with data is key to increasing quality and speed of output. It is at this intersection of technology and skill that true data insights are generated.

Finance 52

Finance Forecasting Predictive Analytics Data-driven 52

Smart Data Collective

AUGUST 19, 2021

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. Businesses worldwide, especially SaaS businesses, have discovered that smart, measurable content marketing is the key to achieving their business goals. Every day, internet users generate vast amounts of data.

Marketing 130

Marketing Analytics Measurement Optimization 130

CIO Business Intelligence

AUGUST 17, 2023

Making products closer to customers removes some uncertainty and risks in the supply chain and relocating production of high-value products back to the U.S. Smart quality inspection & control significantly increases product quality and yield by proactively detecting defects on production lines using multisensory data (e.g.,

Manufacturing 86

Manufacturing Cost-Benefit Digital Transformation Risk 86

CIO Business Intelligence

JANUARY 20, 2023

Coupled with today’s business dynamics, most organizations find this time the most optimal to modernize their network to meet growing and evolving needs. Given the many uncertainties and lessons learned from the pandemic, the one inevitable thing is change.

Uncertainty 71

Uncertainty Reporting Consulting Data-driven 71

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. First, because uncertainty exploded. The rules of thumb and standard ways of doing business have been thrown out of the window. Business people want more data than ever.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

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 The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Digital Transformation 79

Digital Transformation Cost-Benefit Informatics Data mining 79

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

JANUARY 4, 2023

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

CIO Business Intelligence

MARCH 9, 2023

In an IT marketplace marked by turbulence, inflation, and economic uncertainty, the process of contracting with vendors for technology products and services has gotten significantly more challenging for CIOs. This tends to be driven by a position-based negotiation strategy.” The sell side typically has the information advantage.”

Cost-Benefit 97

Cost-Benefit Risk Uncertainty Technology 97

CIO Business Intelligence

AUGUST 7, 2023

You have to truly understand how systems are used, how data is entered into systems, and how it’s manipulated in order to make decisions. We went to work with business leaders and subject matter experts and said here are the problems we see and what we should do,” Jonnala explains. You can’t be an ivory tower architect,” he explains.

IT 79

IT Sales Manufacturing Cost-Benefit 79

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20