CIO Business Intelligence

JUNE 7, 2024

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market.

IT 128

IT Forecasting Machine Learning Modeling 128

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters.

Modeling 210

Modeling Finance Uncertainty Data mining 210

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. Most use master data to make daily processes more efficient and to optimize the use of existing resources.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

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. Forecasting models. These models are used for “what-if” analysis. Optimization analysis models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

erwin

AUGUST 13, 2020

Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., Global Operations : How do we make global operations decisions (e.g.,

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

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. A dynamic environment requires flexible decision support and short-term updates of targets and forecasts.

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. A dynamic environment requires flexible decision support and short-term updates of targets and forecasts.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. def plot_vaccination_forecast (forecast, country, title): . forecast_holder = [].

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

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. The ability to easily create a predictive forecast from your planning model, and then inject the results directly into your projections is incredibly useful.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. While point predictions limit us to asking “what is the demand forecast for Tuesday?”

Deep Learning 62

Deep Learning Machine Learning Forecasting Uncertainty 62

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. First off, her slides are fantastic! Nick Elprin.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

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. The COVID-19 pandemic caught most companies unprepared.

Forecasting 52

Forecasting Uncertainty Measurement Cost-Benefit 52

DataRobot Blog

MARCH 17, 2022

Businesses today operate under greater pressure and greater uncertainty than ever before. In the face of this pressure, more and more companies are looking for ways to automate forecasting and empower front-line decision-makers with actionable insights. With DataRobot AI Cloud 8.0, With the DataRobot 8.0

Forecasting 52

Forecasting Machine Learning Data-driven Uncertainty 52

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

DataRobot

JUNE 1, 2021

AI and machine learning are fields rife with potential security issues. Recognizing and admitting uncertainty is a major step in establishing trust. Like a weather forecast, AI predictions are inherently probabilistic. Interventions to manage uncertainty in predictions vary widely. Protecting Sensitive Data.

Uncertainty 52

Uncertainty Machine Learning Advertising Risk 52

DataRobot

MARCH 29, 2021

Despite the uncertainty and challenges of the past year, DataRobot is seeing the positive impact that AI and machine learning are having on our world as enterprises accelerate their AI adoption. AI Experience Worldwide , our free virtual conference, is just a few weeks away. Alexis Ohanian.

Uncertainty 52

Uncertainty Data Processing Forecasting Machine Learning 52

The Unofficial Google Data Science Blog

APRIL 19, 2021

To explain, let’s borrow a quote from Nate Silver’s The Signal and the Noise : One of the most important tests of a forecast — I would argue that it is the single most important one — is called calibration. If, over the long run, it really did rain about 40 percent of the time, that means your forecasts were well calibrated.

Modeling 122

Modeling IT Metrics Testing 122

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

IBM Big Data Hub

MARCH 8, 2024

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. Search and discovery AI-powered search and recommendation engines use machine learning algorithms to better capture user intent, improve search relevance, and enhance product discovery.

Consulting 79

Consulting Marketing Sales Data Processing 79

CIO Business Intelligence

MAY 16, 2023

The company is all in on AI, as this Forbes article posits: “Target can now use artificial intelligence (AI) to recommend products based on searches, to aid demand forecasting and ordering and all along the supply chain. Artificial Intelligence, Machine Learning

Recreation/Entertainment 52

Recreation/Entertainment Uncertainty Strategy Forecasting 52

Sisense

APRIL 13, 2020

If data science is your jam, there are so many exciting new developments in AI, machine learning, natural language processing, and graph databases that you could keep busy reading for days on end. For me, the takeaway is the need to prepare those critical things to face uncertainty in the current market.”.

Uncertainty 83

Uncertainty Marketing Digital Transformation Forecasting 83

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Hollywood is a $10 billion-a-year industry, and movies range from huge hits to box office bombs.

Risk 67

Risk ROI Modeling Metrics 67

Jet Global

JULY 28, 2023

No matter what industry you’re in, the ability to quickly and accurately forecast budgets is key to keeping your business healthy and successful. It’s challenging to balance the costs and demands of those trends without accurate and robust forecasting capabilities.

Forecasting 52

Forecasting Sales Dashboards Data-driven 52

CIO Business Intelligence

DECEMBER 4, 2024

Global conflicts only add to their uncertainty and vulnerability, with rising production costs exacerbating difficulties. Achieving sweet success With agronomic data, real-time growth measurements, and upcoming weather forecasts, the new system allowed RES to pinpoint the optimal harvest day, leading to a €4.8

Cost-Benefit 84

Cost-Benefit Uncertainty Manufacturing Forecasting 84

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.

Software 52

Software Uncertainty Measurement Marketing 52