The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

CIO Business Intelligence

JANUARY 21, 2025

Speaking at a university event in Taiwan, TSMC CEO and Chairman C.C. Despite these setbacks and increased costs, Wei expressed optimism during the companys recent earnings call, assuring that the Arizona plant would meet the same quality standards as its facilities in Taiwan and forecasting a smooth production ramp-up.

Manufacturing 116

Manufacturing Cost-Benefit Recreation/Entertainment Technology 116

DataRobot Blog

JUNE 1, 2022

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Join the virtual event sessions in your local time across Asia-Pacific, EMEA, and the Americas. Join DataRobot AIX June 7–8.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

Smarten

FEBRUARY 19, 2025

In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. Forecasting and planning cannot be based on opinions or guesswork. Like every other business, your organization must plan for success.

Predictive Analytics 62

Predictive Analytics Analytics Predictive Modeling Forecasting 62

CIO Business Intelligence

SEPTEMBER 15, 2023

From the CEO’s perspective, an optimized IT services portfolio maximizes cost efficiency, flexibility, and scalability. Highly optimized portfolios leverage outsourcing to ensure that commodity-based sourcing is offloaded to outsourcers, freeing up internal teams to focus on strategic projects that add value and effectively manage costs.

Optimization 111

Optimization IT Metrics Marketing 111

Cloudera

JANUARY 7, 2025

Airports are an interconnected system where one unforeseen event can tip the scale into chaos. Everyone may answer and say, informed decision making, generate profit, improve customer relations optimization. That’s part of the group that brings in events into Halifax. Why am I doing this? Why are we doing this?

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

datapine

NOVEMBER 27, 2019

That way, any unexpected event will be immediately registered and the system will notify the user. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Energy: Forecast long-term price and demand ratios. Forecast financial market trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

SEPTEMBER 7, 2023

The first is forecasting, where AI is used to make predictions about downstream demand or upstream shortages. Moreover, algorithms can detect one or more events they recognize as precursory to failure, and then warn assembly line operators before production quality falls short. The same is true for other kinds of products.

Management 138

Management Forecasting Manufacturing Cost-Benefit 138

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

BizAcuity

FEBRUARY 15, 2019

Sales Analytics is used to determine the success of the previous sales drive and forecast in addition to determine how future sales will fare. Sales Analytics in Event Industry – A Perspective View. By monitoring engagement data on real time activity dashboards, event managers can see how things are shaping up across the events.

Sales 67

Sales Analytics B2B ROI 67

Smart Data Collective

OCTOBER 13, 2021

How is Data Virtualization performance optimized? The best Data Virtualization platforms employ performance optimization techniques such as intelligent caches, task scheduling, delegation to sources, query optimization, asynchronous and parallel execution, etc., In forecasting future events.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

CIO Business Intelligence

MARCH 22, 2022

Two groups of researchers are already using Nvidia’s Modulus AI framework for developing physics machine learning models and its Omniverse 3D virtual world simulation platform to forecast the weather with greater confidence and speed, and to optimize the design of wind farms.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given some desired optimal outcome Y, what conditions X should we put in place.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

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

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Key ways to optimize insights for sales. Why sales and analysts should work together. Was it pushed?

Sales 91

Sales Forecasting Snapshot Management 91

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections. To achieve this, Aruba used Amazon S3 Event Notifications.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

CIO Business Intelligence

OCTOBER 9, 2024

Given supply chain complexities involving workforce capacity, demand forecasting, supply and transportation planning, and inventory and maintenance management, Petrobras was compromised by siloed and disparate data, information gaps, and broken end-to-end (E2E) processes. That hasn’t always been easy.

Forecasting 123

Forecasting Risk Consulting Optimization 123

CIO Business Intelligence

JULY 5, 2022

Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. The suite of tools included a digital value stream map, safety stock optimizer, inventory corridor report, and planning cockpit. What are the benefits of business analytics?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

NOVEMBER 14, 2022

These DSS include systems that use accounting and financial models, representational models, and optimization models. These models are used to establish relationships between events and factors related to that event. Optimization analysis models. Forecasting models. Model-driven DSS. Sensitivity analysis models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

APRIL 11, 2024

IDC Kuwait CIO Summit 2024, the event for ITDMs organized by IDC will showcase how IT leaders are prepared to explore the reality of ‘The Future of IT: Rethinking Digitalization for an AI Everywhere World’ on May 13th. How do CIOs position themselves as great agents of change in their organizations? billion USD by 2024.

Technology 115

Technology Digital Transformation Forecasting Strategy 115

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 145

Predictive Analytics Technology Analytics Machine Learning 145

AWS Big Data

SEPTEMBER 7, 2023

Additionally, to provide better transparency, when the timeout period expires, Amazon EMR will also automatically send events to an Amazon CloudWatch Events stream. With these CloudWatch events, you can create rules that match events according to a specified pattern, and then route the events to targets to take action.

Management 115

Management Big Data Machine Learning Optimization 115

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. In tech speak, this means the semantic layer is optimized for the intended audience. This can save budget owners time and shorten planning cycles.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

Smart Data Collective

APRIL 21, 2022

They also are optimizing nontraditional investment decisions. This is why it is a good idea to use big data to optimize your trades. Global Events. Oracle has a report on how predictive analytics helps make these forecasts. They aren’t just using data to make better stock trades. CFD Is Different than Forex.

Big Data 116

Big Data Finance Marketing Optimization 116

CIO Business Intelligence

NOVEMBER 20, 2023

Sales optimization In sales, AI can provide account reps with the information they need to close deals. Hotels could dynamically adjust room rates based on traffic forecasts, weather conditions, and events in the area. Supply chain logistics Optimizing supply chains is a daunting task because of the number of variables involved.

Sales 131

Sales Cost-Benefit Manufacturing Forecasting 131

IBM Big Data Hub

DECEMBER 18, 2023

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management.

Internet of Things 96

Internet of Things IoT Forecasting Visualization 96

Cloudera

OCTOBER 25, 2023

The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today. Overcoming these hurdles offers opportunities for innovation through technology and artificial intelligence.

Machine Learning 102

Machine Learning Forecasting Data-driven Data Science 102

CIO Business Intelligence

MAY 12, 2022

Most tools offer visual programming interfaces that enable users to drag and drop various icons optimized for data analysis. Companies that need forecasting can produce forward-looking reports that depend on any mixture of statistics and machine learning algorithms, something SAS calls “composite AI.”

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

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 78

Forecasting Optimization Digital Transformation Risk 78

CIO Business Intelligence

JANUARY 12, 2023

Heading into 2020, there were plenty of predictions about the year ahead (not to mention detailed business plans, economic forecasts, scheduled events, and so on)—and all were rendered worthless by the pandemic. However, with all that said, I do think it’s clear that some current trends are under way that will continue in 2023.

Digital Transformation 122

Digital Transformation Interactive Forecasting Finance 122

CIO Business Intelligence

JULY 15, 2022

DTN is more than just a weather forecaster: It also offers decision-support services to companies in agriculture, energy, commodities, and the finance industry. The forecasting systems DTN had acquired were developed by different companies, on different technology stacks, with different storage, alerting systems, and visualization layers.

IT 111

IT Forecasting Data-driven Modeling 111

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. The last eighteen months is causing supply chain forecasters to rethink the definition and incorporate risk into the planning process. .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Website Operations —Analyze website operations to improve efficiencies in order fulfillment service levels, optimize delivery options offered.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Timo Elliott

JANUARY 4, 2021

Not just the pandemic, but also global trade tensions, Brexit in Europe, and things like the increasing frequency of extreme weather events. The ability to easily create a predictive forecast from your planning model, and then inject the results directly into your projections is incredibly useful. First, because uncertainty exploded.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139