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. We can apply more than one of these techniques in Demand Forecasting use cases.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

IBM Big Data Hub

MAY 1, 2024

AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-making. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

Forecasting 78

Forecasting Optimization Digital Transformation Risk 78

BizAcuity

MAY 7, 2019

To cater to these fast-changing market dynamics, the practice of demand forecasting began. Today, several businesses, especially those belonging to the FMCG sector, have sophisticated demand forecasting models in place, which help them stay ahead of the market. The Need For Demand Forecasting.

Forecasting 75

Forecasting IT Sales Statistics 75

Smart Data Collective

SEPTEMBER 12, 2021

Big data has been an invaluable contribution to our daily lives. We have started relying on big data to research new products, improve our experience online and make a number of other improvements. One of the biggest benefits of big data has been in the field of investing. Are you considering investing in stocks and shares?

Data-driven 80

Data-driven Strategy Big Data Cost-Benefit 80

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

O'Reilly on Data

MARCH 27, 2019

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. People from across the data world are coming together in San Francisco for the Strata Data Conference. Below you'll find links to highlights from the event. The journey to the data-driven enterprise from the edge to AI.

Uncertainty 213

Uncertainty Forecasting Data-driven Machine Learning 213

CIO Business Intelligence

DECEMBER 7, 2023

Then there’s the southern island of Kyushu, the tail-end of Japan, which is particularly prone to increasingly frequent and more intense disasters such as heavy-rain events, typhoons, and earthquakes. And the key to success is having data that can be analyzed for actionable insights.

IoT 83

IoT Internet of Things Forecasting Digital Transformation 83

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. billion in 2022, according to a research study published by The Insight Partners in August 2022.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Forecasting 139

CIO Business Intelligence

APRIL 9, 2024

But the company is out of ideas for finding new money after the collapse of plans to sell its legacy infrastructure management business to an investment fund and its big data business to Airbus. billion from the sale of its big data and security activities to aircraft manufacturer Airbus fell through in March.

Forecasting 95

Forecasting Finance Sales Big Data 95

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 129

Data mining Data-driven Statistics OLAP 129

IBM Big Data Hub

FEBRUARY 19, 2024

By developing contingency plans and resilient supply chains, companies can continue to operate even when unexpected events occur. Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs.

Strategy 81

Strategy Management Forecasting Cost-Benefit 81

DataRobot

JANUARY 25, 2022

Time series projects are among the most challenging in the world of data science today. But for organizations striving to become AI-driven, understanding how to approach those projects is essential. While traditional modeling relies on classification, regression, and static data, the data for time series is far more fluid.

Forecasting 52

Forecasting Cost-Benefit Data-driven Data Science 52

datapine

JUNE 15, 2023

In the past, these reports were used after a month or even a year since the data being displayed was generated. They are composed of multiple graphs and charts that not only assist you in telling a complete story of performance but also make the data more accessible and understandable for a wider audience.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

CIO Business Intelligence

MARCH 6, 2024

IDC forecasts that annual worldwide spending on AI-centric systems will exceed 300 billion USD by 2026. What’s in store The 2-day event promises a bevy of sessions that will inform and educate the leaders on today’s ‘AI everywhere’ landscape.

Digital Transformation 85

Digital Transformation Strategy Manufacturing Technology 85

DataRobot

MARCH 8, 2021

The COVID-19 pandemic accelerated the need for enterprise AI , and organizations that embraced this change found an edge in a fierce, data-driven marketplace. Join us May 11-13, 2021 when we will bring together business leaders and data scientists to share insights on building an agile, AI-driven enterprise. Register now.

Deep Learning 52

Deep Learning Forecasting Data-driven Visualization 52

Jen Stirrup

APRIL 16, 2024

The Green Hydrogen Summit, hosted in Abu Dhabi by Masdar, kicked off this year with a significant focus on Artificial Intelligence and data to advance the green hydrogen economy for a sustainable energy transition. There is a significant focus on Artificial Intelligence and data and its potential.

Data Processing 58

Data Processing Data-driven Optimization Forecasting 58

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images. Batch processing is not the best fit in this scenario.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Customers have too many options.

Cost-Benefit 110

Cost-Benefit Internet of Things Data-driven Data Lake 110

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. Not just the pandemic, but also global trade tensions, Brexit in Europe, and things like the increasing frequency of extreme weather events. Business people want more data than ever.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 84

Manufacturing IoT Forecasting Machine Learning 84

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

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. AI can also empower trial managers and executives with the data to make strategic decisions. To do so they require data, which is in no shortage.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Smart Data Collective

FEBRUARY 20, 2022

More companies are investing in big data than ever these days. One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading. Making Decisions More Easily.

Big Data 112

Big Data Management Finance Data-driven 112

CIO Business Intelligence

JUNE 15, 2022

Gartner has forecast that 65% of organizations will adopt ERP applications that use one or more of what it calls “fourth-era hallmarks” by 2023. Those include AI, data-centric design, systems that can be used off the shelf, functions that augment decisions, developer enablement, and customer-facing technology.

Key Performance Indicator 141

Key Performance Indicator Consulting KPI Sales 141

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

Insurance 78

Insurance Data Warehouse Data-driven Unstructured Data 78

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. Gartner highlights AI trend in banking.

Predictive Analytics 141

Predictive Analytics Technology Analytics Machine Learning 141

Smarten

SEPTEMBER 28, 2022

Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive analytics uses sophisticated analytical methodologies to predict future outcomes based on historical data. Plan and forecast accurately.’. Demand Planning.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

IBM Big Data Hub

DECEMBER 4, 2023

This approach empowers organizations to utilize data-driven analytics, artificial intelligence (AI) and automation to make well-informed decisions swiftly and accurately, enabling them to navigate the complexities of the modern marketplace with agility and precision.     This is where autonomous planning shines.

Forecasting 48

Forecasting Finance Optimization Marketing 48

IBM Big Data Hub

MARCH 8, 2024

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. 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.

Consulting 80

Consulting Marketing Sales Data Processing 80

DataRobot Blog

MAY 23, 2022

Department of Transportation Data. Example of border transport data from USDOT. The database contains entry data from Mexico to the U.S. It includes pedestrian, bus, personal vehicle, rail container, train, and truck data. An example of the truck data is shown to the left. Canada and U.S.-Mexico

Forecasting 59

Forecasting Statistics Machine Learning Modeling 59

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. Tracing the source of data is an arduous task. With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

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. Diving deep into historical trial data with a protocol complexity rating also reveals golden insights, especially around patient-centric elements.

Advertising 80

Advertising Data-driven Optimization Strategy 80

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Digital Transformation 126

Digital Transformation IoT Data-driven KPI 126

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Healthcare.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

NOVEMBER 30, 2023

Attend industry events: Participate in conferences, webinars, speaking engagements, award competitions and other events to establish a presence and engage with potential candidates. It can enable organizations to streamline recruitment processes, improve candidate experience and make data-driven hiring decisions.

Strategy 61

Strategy Cost-Benefit Consulting Data-driven 61