Octopai

JUNE 9, 2024

By doing so, they aimed to drive innovation, optimize operations, and enhance patient care. The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. The lack of trust in data created inertia.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

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

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

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. “The

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

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? million people at risk of catastrophic, flooding.

Optimization 52

Optimization Machine Learning Insurance Risk 52

CIO Business Intelligence

DECEMBER 11, 2023

Traditionally, the work of the CFO and the finance team was focused on protecting the company’s assets and reputation and guarding against risk. They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions.

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

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately.

B2B 65

B2B Interactive Optimization Forecasting 65

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

Cloudera

AUGUST 3, 2021

Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Advanced analytics empower risk reduction . Digital Transformation is not without Risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

NOVEMBER 8, 2023

This requires knowing the risks involved with the cloud, which include external risks and threats, as well as internal risks and threats that could not only lead to a security compromise or an embarrassing leak but may affect organizations’ overall productivity and efficiency. 8 Complexity. 8 Complexity. Operational costs.

Cost-Benefit 135

Cost-Benefit Risk Digital Transformation Reporting 135

CIO Business Intelligence

NOVEMBER 20, 2023

If you look at the advances we have seen in AI, with the large amounts of data that large language models can process, we can safely hand off various decisions to machines,” says Prasad Ramakrishnan, CIO & SVP of IT at Freshworks. Sales optimization In sales, AI can provide account reps with the information they need to close deals.

Sales 131

Sales Cost-Benefit Manufacturing Forecasting 131

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

APRIL 5, 2022

Enterprises face multiple risks throughout their supply chains, Deloitte says, including shortened product life cycles and rapidly changing consumer preferences; increasing volatility and availability of resources; heightened regulatory enforcement and noncompliance penalties; and shifting economic landscapes with significant supplier consolidation.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

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

MAY 8, 2024

Process automation and improvement is a perennial CIO agenda item, and the call for business process optimization is only getting louder — especially for those processes directly tied to the bottom line. We take the financial risk for this, which means that if there is anything that’s misrepresented, the money comes from our pocket.”

IT 110

IT Insurance Cost-Benefit Unstructured Data 110

CIO Business Intelligence

MARCH 18, 2024

How technology is used for social sustainability Governance and ethical practices: Data security and privacy technologies are critical for good governance, particularly in our digital-first world where cybersecurity risks are on the rise.

Manufacturing 119

Manufacturing Forecasting Technology Software 119

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

IBM Big Data Hub

JANUARY 22, 2024

As-a-service models are expected to become more prevalent, with IDC forecasting that 65% of tech buyers will prioritize these models by 2026​​ This shift echoes the response to economic pressures and the need to fill talent gaps in IT operations.

Data-driven 101

Data-driven Forecasting Consulting Marketing 101

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

IBM Big Data Hub

JULY 26, 2023

Discover the current and emerging use cases for AI in waste management, optimization, energy reduction and ESG reporting. AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure.

Optimization 73

Optimization Manufacturing Cost-Benefit Risk 73

CIO Business Intelligence

OCTOBER 11, 2023

To overcome these challenges, energy companies are increasingly turning to artificial intelligence (AI), particularly generative AI large language models (LLM). First, AI is improving weather models so that utilities can have a better idea of where disaster might strike. Today, over 70% of the U.S. How can AI and generative AI help?

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

CIO Business Intelligence

JUNE 6, 2024

“We’re committed to running the greenest infrastructure… sustainable data centers keep energy costs down and minimize usage with more efficient hardware, smart power management, optimized thermals, liquid and air cooling, and using green energy sources,” he added.

Cost-Benefit 87

Cost-Benefit IT Data-driven Digital Transformation 87

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 97

Internet of Things IoT Forecasting Visualization 97

IBM Big Data Hub

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

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 114

Modeling Forecasting Reporting Risk 114

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. A retail company experiences a sudden surge in online sales due to a viral social media campaign.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

IBM Big Data Hub

DECEMBER 4, 2023

.   At its core, autonomous business planning comprises innovative methods that leverage the potential of cutting-edge technologies such as foundation models and generative AI. It empowers businesses in their sales planning, budgeting and forecasting processes.

Forecasting 49

Forecasting Finance Optimization Marketing 49

Jedox

SEPTEMBER 29, 2021

Does it make sense to have a complete separation between your company goals, sales reps targets, and compensation models? Sales Performance Management (SPM) is a unified approach to analyze, plan, and optimize sales processes withing an organization. What is Sales Performance Management?

Sales 97

Sales Management Forecasting Risk 97

CIO Business Intelligence

SEPTEMBER 7, 2023

That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. The second challenge is managing new risks, which stem primarily from the threat of misinformation.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Data-driven 119

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. Digitizing relevant physical assets and objects, such as those core samples, IT equipment, office equipment, etc.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

CIO Business Intelligence

SEPTEMBER 26, 2023

While scoping and modeling the project, IWB relied on support from SAP’s Global Center of Excellence and Customer Advisory, providing both business and application expertise to organizations engaged in SAP implementations and optimizing existing ones. As solar PV systems are added, the calculation methods automatically adapt.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. You must detect when the model has become stale, and retrain it as necessary. The guardrail metric is a check to ensure that an AI doesn’t make a “mistake.”

Marketing 362

Marketing Experimentation Metrics Testing 362

Domino Data Lab

MARCH 3, 2021

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

Metrics 93

Metrics Modeling Sales Data Science 93

IBM Big Data Hub

MAY 6, 2024

Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement. The latest developments in large language models (LLMs) have the potential to significantly expedite protocol design processes.

Advertising 80

Advertising Data-driven Optimization Strategy 80

Smarten

SEPTEMBER 28, 2022

Plan and forecast accurately.’. Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. Businesses must control quality or risk losing customers and market share and exposing the enterprise to legal risk and liability.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. standards modeled in a knowledge graph!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83