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 109

Modeling Optimization Manufacturing Forecasting 109

CIO Business Intelligence

FEBRUARY 8, 2024

Cognizant Technology Solutions announced a full-year revenue forecast below expectations. Companies have already made several changes in their approach, offering variable costs with a pay-as-you-go model, said Faisal Kawoosa, chief analyst and founder at Techarc. “For Economic softness impacts both revenue and profit,” Gogia added.

IT 98

IT Uncertainty Consulting Forecasting 98

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

MARCH 12, 2024

The Copilot, which has the ability to connect to multiple large language models (LLMs) via APIs depending on the choice of the enterprise user, comes at no extra charge and Creatio doesn’t impose any limits on number of users, Dovgan added. Creatio’s CRM offering includes separate suites for marketing, sales, and service.

IT 98

IT Sales Forecasting Marketing 98

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 88

Forecasting Optimization Digital Transformation Risk 88

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. over the 2023-2027 forecast period 1. Bandwidth optimization. over 2023 2.

Forecasting 106

Forecasting Optimization Advertising IoT 106

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. In this final blog post, I want to talk about the theme of “Life Stories.” It’s part of their DNA.

Forecasting 57

Forecasting Software Consulting Optimization 57

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. But first, What is DirectX Anyway?

Visualization 133

Visualization Optimization Analytics Testing 133

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

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 73

Machine Learning Optimization Unstructured Data Sales 73

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.

Optimization 61

Optimization Forecasting Data-driven Strategy 61

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 112

Optimization Cost-Benefit Consulting Strategy 112

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

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 63

Optimization Technology Measurement Cost-Benefit 63

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 84

Optimization Data Analytics Analytics Cost-Benefit 84

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

CIO Business Intelligence

OCTOBER 6, 2023

Business analyst job description BAs are responsible for creating new models that support business decisions by working closely with finance and IT teams to establish initiatives and strategies aimed at improving revenue and/or optimizing costs. What is a business analyst?

IT 128

IT Business Analysis Key Performance Indicator Cost-Benefit 128

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, 2023

In one use case, AR and VR are being used to re-create people’s spines in a model so that surgeons can look at them in advance of surgeries to help them perform better, says Peter Fleischut, group senior vice president and chief information and transformation officer. It’s all about uptime and input.

IT 145

IT Insurance Machine Learning Marketing 145

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 127

Data Science Machine Learning Predictive Modeling Experimentation 127

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. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know? Where is all of that data going to come from?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

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

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 118

Management Analytics Predictive Analytics Cost-Benefit 118

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

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

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

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

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. Analytics is also helping the company better predict demand and consumption.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

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

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. Artificial intelligence has already unlocked opportunities that most organizations never thought possible.

Finance 106

Finance Forecasting IoT Predictive Modeling 106

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. Addressing the theme ‘The Future of IT: Rethinking Digitalization for an AI Everywhere World’.

Data Processing 98

Data Processing Forecasting Risk Optimization 98

Jedox

APRIL 8, 2021

Effective decision-making must be based on data analysis, decisions (planning) and the execution and evaluation of the decisions and its impact (forecasting). Models such as the DIKW pyramid (Data, Information, Knowledge, Wisdom) explains the different levels of data processing and its value. in this post. an approved budget).

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

CIO Business Intelligence

JANUARY 15, 2024

Beyond boosting revenue, respondents gave plenty of other reasons to adopt AI in retail, including creating operational efficiencies (53% of respondents), improving the consumer experience (42%), improving decision making (37%), or yielding more accurate demand forecasting (21%). year on year in the first 11 months of 2023, AI or no AI.

Sales 105

Sales Software Forecasting Statistics 105

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

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 108

Internet of Things IoT Forecasting Visualization 108