CIO Business Intelligence

JANUARY 11, 2024

To get back in front, IT leaders will have to transform lessons learned from 2023 into actionable, adaptable processes, as veteran technology pros have been remarkably consistent in identifying global and economic uncertainties as key challenges for IT leaders to anticipate in 2024 as well.

IT 115

IT Uncertainty Cost-Benefit Strategy 115

CIO Business Intelligence

APRIL 27, 2023

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. Machine learning has also greatly advanced over the past several years. There were also limitations in technology.

Management 82

Management Internet of Things Cost-Benefit Uncertainty 82

CIO Business Intelligence

JANUARY 17, 2023

Optimize cloud spend It’s a good time for CIOs to conduct a financial health check on their technology budget. That’s why one of the first moves to consider is optimizing your cloud spend. FinOps for cloud can help track and optimize this spending while reaping major benefits on top. That’s a core benefit of cloud.

Cost-Benefit 138

Cost-Benefit IT Uncertainty Optimization 138

CIO Business Intelligence

DECEMBER 4, 2023

From grapes to wine—a journey of uncertainty Wineries must consider many factors to achieve maximum efficiency, yield, and quality. In the Lourdes winery alone, there has been a 28% increase in capacity by optimizing the fermentation process in each of the 32 vats. First, there’s the life of the grapes.

Uncertainty 68

Uncertainty Digital Transformation Optimization Machine Learning 68

CIO Business Intelligence

APRIL 28, 2023

The slowdown in growth, according to top executives of the company, can be attributed to enterprises optimizing cloud spend due to uncertain macroeconomic conditions. We are seeing these optimizations continue into the second quarter with April revenue growth rates about 500 basis points lower than what we saw in Q1,” Olsavsky added.

Enterprise Optimization 52

Enterprise Optimization Recreation/Entertainment Advertising Uncertainty 52

Timo Elliott

MARCH 6, 2023

He explains how businesses can leverage AI and machine learning to turn anything into a sensor, detect patterns in new ways, and augment human intelligence. He also mentions ASR Group using machine learning to optimize routes for sugar delivery to their 600 customers, reducing logistics costs.

Machine Learning 111

Machine Learning Cost-Benefit Uncertainty ROI 111

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. There’s a lot of overlap between these factors. automated retirement portfolio rebalancing and maximized ROI).

Cost-Benefit 290

Cost-Benefit Advertising ROI Machine Learning 290

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. These DSS include systems that use accounting and financial models, representational models, and optimization models.

Data mining 122

Data mining Data-driven Statistics OLAP 122

IBM Big Data Hub

OCTOBER 2, 2023

In a world marked by volatility, uncertainty, complexity, and ambiguity (VUCA) building a holistic planning environment is inevitable for successful steering.” This was done by incorporating mathematical optimization and machine learning algorithms completing the holistic approach for more efficiency.

Analytics 89

Analytics Manufacturing Uncertainty Machine Learning 89

Smart Data Collective

APRIL 18, 2019

Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. The reality is that “AI solutions” today are based more in machine learning and behavior analytics , which does NOT equate to higher levels of human intelligence and complex decision making.

Behavioral Analytics 77

Behavioral Analytics Advertising Uncertainty Machine Learning 77

Cloudera

SEPTEMBER 29, 2021

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Among the use cases for the government organizations that we are working on is one which leverages machine learning to detect fraud in payment systems nationwide.

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Complaints from dissatisfied customers and apathetic data providers only add to the mounting stress. One of the primary sources of tension?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. Satisfying customer needs and securing solvency in volatile markets both require quick decisions and decisive action. .

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. Satisfying customer needs and securing solvency in volatile markets both require quick decisions and decisive action. .

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

DataRobot Blog

MARCH 17, 2022

Businesses today operate under greater pressure and greater uncertainty than ever before. During the pandemic, we witnessed mature machine learning models failing overnight because models trained on 2019 data didn’t know what to do with 2020 market conditions. With the DataRobot 8.0

Forecasting 52

Forecasting Machine Learning Data-driven Uncertainty 52

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.

Data-driven 70

Data-driven Uncertainty Enterprise Business Objectives 70

CIO Business Intelligence

JANUARY 4, 2023

Workflow Optimization from Edge to Core/Cloud and Back : Integration with edge devices as well as integration with different HPC systems is currently designed in-house or otherwise customized. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

BI-Survey

FEBRUARY 14, 2022

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Local events in an increasingly interconnected economy and uncertainties such as the climate crisis will continue to create high volatility and even chaos. Optimize technology, methods and organization in a well-coordinated way.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

Timo Elliott

JANUARY 4, 2021

First, because uncertainty exploded. Organizations are interested in anything that can help, such as self-service, cloud, machine learning, and robotic process automation. You can find a blog post version of my commentary below, and a draft video of my section: What’s new with analytics and storytelling for finance teams?

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Be aware that machine learning often involves working on something that isn’t guaranteed to work.

Management 110

Management Machine Learning Experimentation Metrics 110

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.

Experimentation 121

Experimentation Consulting Technology Machine Learning 121

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

IBM Big Data Hub

APRIL 18, 2024

While AGI promises machine autonomy far beyond gen AI, even the most advanced systems still require human expertise to function effectively. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

IBM Big Data Hub

MARCH 8, 2024

Digital optimization and automation tools have made it cheaper and easier for businesses to use customer data or third-party data, creating intelligent ecommerce sites. a new living room couch—consumers can reduce uncertainty and the likelihood of returning a product by “trying it out” in their living room.

Consulting 81

Consulting Marketing Sales Data Processing 81

Alation

MAY 12, 2022

With so much economic uncertainty, coupled with the unrelenting advance of “Industry 4.0” Data governance in manufacturing, when done well, can then accelerate time-to-market, increase efficiencies, optimize operational performance, improve the customer experience , and expose opportunities up and down the supply chain. Here’s how.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

JUNE 15, 2022

CIO.com talked with a range of IT leaders about their experiences optimizing IT for agility. We live in a world of volatility, uncertainty, complexity, and ambiguity and how well our teams can adapt to this ever-changing environment is the single biggest determinant of success,” says Databricks CIO Naveen Zutshi. Think a step ahead.

IT 142

IT Digital Transformation Technology Strategy 142

IBM Big Data Hub

APRIL 10, 2023

The data- and automation aspects were neglected in these PoC’s, resulting in very sub-optimal results. The above elaboration on the still existing uncertainty of the monetary values of the data-driven analytics use cases in telco underscores the need for the CSPs to host their very own playgrounds for analytics.

Data mining 60

Data mining Data-driven Uncertainty Data Processing 60

Sisense

OCTOBER 6, 2020

Smart use of your data can be the key to optimizing processes, identifying new opportunities, and gaining or keeping a competitive edge. Natural language processing (NLP), involving machine learning , is how your BI and analytics platform can understand the meaning of unstructured data such as emails, comments, feedback, and instant messages.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

NOVEMBER 19, 2018

One of Cloudera’s partners offers “Sustainability Services” with a goal of assisting organizations in turning costs and risks associated with changing regulatory and workforce environments, as well as supply chain uncertainties and volatile markets, into business opportunities. 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? A machine learning classifier serves this task perfectly. Our goal is a better sampling design to improve the precision of the prevalence estimates.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

The Unofficial Google Data Science Blog

APRIL 19, 2021

Practical Reason #2: Model Modularity In complex machine learning systems, models depend on each other. bar{pi} (1 - bar{pi})$: This is the irreducible loss due to uncertainty. isn’t good enough: it optimizes the calibration term, but pays the price in sharpness. For these ML systems, calibration simplifies interaction.

Modeling 122

Modeling IT Metrics Testing 122

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. I say “what” since increasingly more machines will be given the ability to decide. This is not an option.

Software 52

Software Uncertainty Measurement Marketing 52

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