CIO Business Intelligence

FEBRUARY 8, 2024

The global IT services industry is at a significant crossroads, with the explosive growth of generative AI and deepening economic uncertainties reshaping its future. Although there are efforts to boost industries such as semiconductors, there is much uncertainty about when the impact may be seen.

IT 84

IT Uncertainty Consulting Forecasting 84

CIO Business Intelligence

JANUARY 17, 2023

In almost every case, there’s an increased need for data insight and technology-enabled agility to reaffirm technology’s position at the center of investment strategy in order to achieve organizational growth. Optimize cloud spend It’s a good time for CIOs to conduct a financial health check on their technology budget. Not necessarily.

Cost-Benefit 138

Cost-Benefit IT Uncertainty Optimization 138

IBM Big Data Hub

MARCH 25, 2024

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

Uncertainty 103

Uncertainty Cost-Benefit Risk Measurement 103

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 78

Manufacturing Business Objectives Cost-Benefit Optimization 78

CIO Business Intelligence

JUNE 23, 2023

Respondents were asked about their current IT stressors, their approach to modernizing their IT infrastructure, and how they plan to become more efficient and optimized in the years ahead. It helps reduce risk, increase efficiency, optimize resources, and improve both the customer and employee experience.

IT 94

IT Risk Management Risk Optimization 94

CIO Business Intelligence

OCTOBER 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data.

Machine Learning 100

Machine Learning Data Architecture Uncertainty Data-driven 100

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 88

IT Manufacturing Business Objectives Cost-Benefit 88

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

O'Reilly on Data

SEPTEMBER 15, 2020

In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. Technical competence results in reduced risk and uncertainty. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g.,

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

IBM Big Data Hub

FEBRUARY 20, 2024

Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate. Global climate models have given climate scientists a set of expectations as to what the future could hold, both for the Earth at large and for specific regions.

Modeling 119

Modeling Forecasting Reporting Risk 119

Cloudera

JUNE 1, 2021

Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses they back. Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

CIO Business Intelligence

MAY 9, 2023

Cloud-first strategy” became a cure-all for datacenter impediments, as well as an IT leader’s tentpole for digital transformation. As you navigate the intricacies of workload placement, you face many challenges such as: Economic uncertainty (the market is whipsawing); deficit in IT talent (do you honestly recall a time this wasn’t an issue?);

ROI 113

ROI Cost-Benefit KPI Uncertainty 113

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 94

Cost-Benefit Modeling Manufacturing Interactive 94

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 Belcorp operates under a direct sales model in 14 countries. Its brands include ésika, L’Bel, and Cyzone, and its products range from skincare and makeup to fragrances.

Digital Transformation 86

Digital Transformation Cost-Benefit Informatics Data mining 86

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 133

Risk Manufacturing Enterprise Technology 133

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. Additionally, NaaS enables the ability to flex down requirements should real estate space strategies change.

Uncertainty 76

Uncertainty Reporting Consulting Data-driven 76

AWS Big Data

JUNE 27, 2023

With the solution we built using QuickSight, recruiters are given access to rich visualizations on interactive dashboards in real time, eliminating uncertainty about whether the information they are looking at is accurate. We build solutions that bring brands to life, making content and platforms work together.

Metrics 98

Metrics Dashboards Interactive Visualization 98

CIO Business Intelligence

JANUARY 4, 2023

Scaling out and developing large-scale systems : To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. Due to the rapid growth in data sizes, there’s an increased need for HPC solutions that can run large training models.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

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. Pricing models and metrics can also be complex, making it difficult to understand when additional costs might kick in, Alexander says.

Cost-Benefit 105

Cost-Benefit Risk Uncertainty Technology 105

Jet Global

APRIL 22, 2020

Businesses across the globe are facing a level of uncertainty that didn’t exist just months ago. Explore our interactive infographic to reveal valuable insights on how top CFOs are responding from our recent panel discussion, “How to Navigate Your Business Through This Uncertainty.” Brian Shaw. Chief Financial Officer.

Uncertainty 59

Uncertainty Testing Management Modeling 59

IBM Big Data Hub

MARCH 8, 2024

The ecosystem has become more complex as business models advance and new ecommerce trends appear. In the constantly shifting, rapidly expanding ecommerce ecosystem, businesses must think creatively about their digital strategies and how best to create dynamic, interactive shopping experiences that improve customer relationships.

Consulting 85

Consulting Marketing Sales Data Processing 85

CIO Business Intelligence

MAY 4, 2022

Companies that used to be able to put the virtual brick walls around the building and say they’re secure on the inside now have too many openings — to the cloud, partners, customers, employees — for that strategy to be viable.”. It’s securing what has evolved in the past few years and what has been evolving.”

IT 135

IT Business Driver Reporting Uncertainty 135

CIO Business Intelligence

SEPTEMBER 12, 2022

One instance of how that exploration led to real business benefits was with the application of machine learning to predict optimal product formulation using a set of desired consumer benefits. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says. Elixirr Consulting.

Experimentation 127

Experimentation Consulting Technology Machine Learning 127

CDW Research Hub

OCTOBER 5, 2020

Enterprises everywhere have had to shift, re-plan, and ultimately roll with the economic punches in this year of uncertainty and “what’s next?”. With Sirius Cloud Transitional Services (CTS), we can help you embrace and maintain a cloud-first strategy while keeping your bottom line in mind. Cloud optimization and flexibility?

Cost-Benefit 52

Cost-Benefit Uncertainty Optimization Management 52

CIO Business Intelligence

AUGUST 7, 2023

Foundry / State of the CIO That distinct view, coupled with ongoing pressure to accelerate digital business brought on by pandemic-era changes and economic uncertainties , have launched CIOs into the change management hot seat.

IT 84

IT Sales Manufacturing Cost-Benefit 84

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

bridgei2i

JUNE 11, 2020

If nothing else, this anecdote offers valuable insight into the impact that uncertainty of any kind has on consumer behaviour; it triggers volatility. To navigate this increasingly complex landscape, brought about by COVID-19, business leaders must take into account such fears and craft strategies accordingly.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52

bridgei2i

APRIL 20, 2020

His client work has predominantly focused on bringing together analytics, strategy, program design, implementation, and technology enablement in large scale HR transformation initiatives. Finally, navigating the next few years, in my view, would need multiple constraints to be optimized continuously. Always a pleasure to talk to you.

Enterprise 114

Enterprise Consulting Digital Transformation Sales 114

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

bridgei2i

JULY 8, 2020

What are you hearing from clients, and what strategies are they adopting to remain resilient at these hard times? This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. Can we model the impact for such structural shocks? What are you seeing as emerging themes?

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Cloudera

NOVEMBER 19, 2018

To achieve success, they must formulate and implement strategies for sustainability that encompass not just environmental (“green”) issues, but also social, economic, and cultural concerns. Optimizing crop rotation within small-scale agricultural operations. Maximizing efficiencies in aquaponics.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? There are many strategies we can use to estimate this quantity, and we will discuss each option in detail. Our goal is a better sampling design to improve the precision of the prevalence estimates.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

CIO Business Intelligence

SEPTEMBER 6, 2023

Today’s business climate is rife with economic uncertainty that is causing IT leaders to do more with less while still innovating to support the business. A composable ERP strategy isn’t all butterflies and rainbows, though. Let’s dive in. A composable ERP solution is not limited by its core vendor’s capabilities.

Strategy 98

Strategy Uncertainty Cost-Benefit Optimization 98

Occam's Razor

APRIL 15, 2019

Short-term, this let’s not listen to the negative data strategy sometimes actually works. Their most common reaction to negative data, if it makes it through, is to try to discredit it by asking analytically-nonsensical questions: What are the p-values of your multi-channel attribution model applied to performance of my strategy?

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

The Unofficial Google Data Science Blog

APRIL 17, 2017

For us, demand for forecasts emerged from a determination to better understand business growth and health, more efficiently conduct day-to-day operations, and optimize longer-term resource planning and allocation decisions. Selection and aggregation of forecasts from an ensemble of models to produce a final forecast.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. We discussed already some of these cloud computing challenges when comparing cloud vs on premise BI strategies. Governance/Control.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Domino Data Lab

JUNE 23, 2019

Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement. They lack probably what a lot of folks in this room have in terms of domain expertise around data, machine learning, and how these models work.

Management 110

Management Machine Learning Experimentation Metrics 110