IBM Big Data Hub

OCTOBER 17, 2023

For example, say we predict the quality of the clinker in advance, then we are able to optimize the heat energy and combustion in the cement kiln in such a way that quality clinker is produced at minimum energy. Such optimization of the processes reduces energy consumption and in turn reduces both energy emission and process emission.

Modeling 107

Modeling Optimization Manufacturing Forecasting 107

CIO Business Intelligence

APRIL 30, 2024

IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1 over the 2023-2027 forecast period 1. Bandwidth optimization. This optimization improves efficiency and reduces costs.

Forecasting 93

Forecasting Optimization Advertising IoT 93

IBM Big Data Hub

JULY 5, 2023

I have talked to guests who turned from being software experts to hardware experts, who went from working on Java compilers to developing AI-optimized mainframe chips, from research to consulting, and more. He is now tasked with ensuring sustainability across globally distributed data centers. Grady Booch is a legend among software engineers.

Forecasting 55

Forecasting Software Consulting Optimization 55

IBM Big Data Hub

MAY 1, 2024

In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

Forecasting 52

Forecasting Optimization Digital Transformation Risk 52

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. Helps you to determine areas of abnormal losses and profits to optimize your trading algorithm. Enables animation and object modeling of 3D charts for better analysis and testing.

Visualization 130

Visualization Optimization Analytics Testing 130

CIO Business Intelligence

NOVEMBER 18, 2022

To optimize cloud investments, C-level executives are increasingly adopting cloud financial operations (FinOps). In this article, I’ll explore common cloud optimization and FinOps challenges and strategies for overcoming them. Then they must choose a financial model, whether an even split, fixed, or proportional model.

Optimization 91

Optimization KPI Key Performance Indicator Cost-Benefit 91

DataRobot

APRIL 26, 2021

Demand forecasting is a common Time Series use case in DataRobot. Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. To improve the performance of such demand forecasting models, we can use several modeling techniques.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. To do so they require data, which is in no shortage. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

Sisense

FEBRUARY 25, 2021

One of the most important applications of data is using it to forecast the future. This is where forecasting analytics can be a game-changer in the decision-making process. There is a massive need for forecasting analytics in this use case, but how does a theater use data to guide decisions? Data-driven forecasting decisions.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

CIO Business Intelligence

FEBRUARY 1, 2023

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. It’s an issue that’s coming to the fore with the steady migration to the cloud.

Optimization 111

Optimization Cost-Benefit Consulting Strategy 111

IBM Big Data Hub

DECEMBER 19, 2023

A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given. Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection.

Machine Learning 72

Machine Learning Optimization Unstructured Data Sales 72

IBM Big Data Hub

JULY 25, 2023

Smart grids turn this model on its head. This software, and the insights it provides, can help providers predict demand patterns, identify potential issues and optimize the distribution network. However, to really maximize the benefits of a smart grid, power companies must implement effective optimization strategies as well.

Optimization 61

Optimization Technology Measurement Cost-Benefit 61

Cloudera

DECEMBER 20, 2022

With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model.

Optimization 79

Optimization Data Analytics Analytics Cost-Benefit 79

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Models can be designed, for instance, to discover relationships between various behavior factors.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

FEBRUARY 13, 2024

The new features appear in its Oracle Transportation Management and Oracle Global Trade Management applications, and include expanded business intelligence capabilities, enhanced logistics network modelling, a new trade incentive program, and an updated Transportation Management Mobile application. billion annually in 2026, up from $5.3

Management 122

Management Forecasting Machine Learning Business Intelligence 122

Smarten

MARCH 23, 2020

Predictive Analytics for Business Users = Assisted Predictive Modeling! These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. Are you tired of using guesswork and opinions to make business decisions?

Predictive Analytics 52

Predictive Analytics Forecasting Predictive Modeling Analytics 52

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Jedox

JUNE 24, 2021

Classic sales-support activities such as sales enablement, sales process development, sales training, sales analytics, sales metrics and sales forecasting are unthinkable without the above-mentioned data. Maximizing business value through improved collaboration is key to long-term optimization of marketing and sales operations.

Sales 94

Sales Marketing Optimization Metrics 94

Smarten

JUNE 14, 2023

GPT, or Generative Pre-Trained Transformer, is a Large Language Model (LLM). GPT-4 has a capacity of more than 175 billion machine learning parameters, and can support many types of tasks, e.g., answering questions, providing machine translation, summarizing text, time series forecasting, etc.

Optimization 52

Optimization IT Digital Transformation Consulting 52

CIO Business Intelligence

OCTOBER 16, 2023

Predictive AI uses advanced algorithms based on historical data patterns and existing information to forecast outcomes to predict customer preferences and market trends — providing valuable insights for decision-making. GenAI models can generate realistic images, compose music, write text, and even design virtual worlds.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Forecast Time Series at Scale with Google BigQuery and DataRobot. Data scientists are in demand: the U.S. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

Smart Data Collective

OCTOBER 6, 2023

Data analytics technology has helped retail companies optimize their business models in a number of ways. Data Analyst Solomon Nyamson wrote an article on Linkedin pointing out that predictive analytics tools like Sarima have made it easier than ever to forecast retail sales due to seasonal changes.

Management 115

Management Analytics Predictive Analytics Cost-Benefit 115

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smarten

JUNE 8, 2023

Working with real-time, clear, accurate information can make all the difference. Today’s business intelligence solutions provide mobile support for business users in an easy-to-use, self-serve environment, so every team member can participate in data analytics and use that data to perform their role and to make confident decisions.

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

DataRobot Blog

AUGUST 18, 2022

Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. Retailers and manufacturers that incorporate AI in supply chain management greatly enhance their ability to forecast demand, manage inventory, and optimize price.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

Jet Global

APRIL 27, 2020

Any company worth its salt uses financial modeling to guide its financial planning and strategic decision-making. Financial modeling offers data-driven, quantitative analysis that tells you where your company stands and where it’s heading. But one model can’t do it all. What Is Financial Modeling? Organic business growth.

Modeling 72

Modeling Forecasting Finance Visualization 72

CIO Business Intelligence

APRIL 4, 2024

Like other CIOs, Katrina Redmond has been inundated with opportunities to deploy AI that promise to speed business and operations processes, and optimize workflows. The cost of implementing and running AI models can be quite high, so you have to be really careful in assessing the business worthiness of AI use cases,” he says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

CIO Business Intelligence

APRIL 5, 2022

First, Optimas is using data analytics internally for a number of functions, including material acquisition for manufacturing; forecasting of production and customer demand; improving efficiency and accuracy with ordering from suppliers; and managing its inventory. Another benefit is warehouse optimization.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

Smarten

MAY 17, 2019

Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

CIO Business Intelligence

DECEMBER 11, 2023

For example, by tapping into real-time data with AI-enabled analytics, CFOs will be able to develop multiple scenarios for capital allocation, offering more forward-looking projections and more accurate forecasts.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

CIO Business Intelligence

FEBRUARY 13, 2024

Recent breakthroughs in generative AI (GenAI) are reshaping the technological landscape at an unprecedented rate, and IDC forecasts that annual worldwide spending on AI-centric systems will exceed 300 billion USD by 2026.

Data Processing 98

Data Processing Forecasting Risk Optimization 98

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? Based on these estimators, SAS created an easy to use what-if dashboard.

Optimization 52

Optimization Machine Learning Insurance Risk 52

DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

IBM Big Data Hub

DECEMBER 18, 2023

For example, planners in fire-prone California use tools that incorporate remote sensing, vector data and satellite images to formulate disaster response plans and optimal placement of fire hydrants. Optimizing crew schedules and shifting to proactive maintenance helps minimize downtime while increasing customer satisfaction.

Internet of Things 106

Internet of Things IoT Forecasting Visualization 106

CIO Business Intelligence

NOVEMBER 29, 2022

As part of the announcement, the company said that it was making the forecasting, capacity planning, scheduling and Contact Lens feature of Amazon Connect generally available while introducing two new features in preview. c (Sydney), and Europe (London) Regions. “You Cloud Computing, Enterprise Applications, Machine Learning

Machine Learning 111

Machine Learning Forecasting Recreation/Entertainment Metrics 111