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 113

Forecasting Data Science Statistics Uncertainty 113

Smarten

MAY 17, 2019

To make the most out of online marketing, every organization must target the customers with the most promising profile. Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Marketing Optimization.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

CIO Business Intelligence

JULY 5, 2022

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 120

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 120

Smarten

SEPTEMBER 28, 2022

Plan and forecast accurately.’. Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. Plan and forecast accurately. Marketing Optimization. Predictive Analytics Using External Data.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

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 86

Finance Forecasting IoT Predictive Modeling 86

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

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 119

Modeling Machine Learning Forecasting Optimization 119

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

IBM Big Data Hub

MAY 6, 2024

Ineffective outreach : Clinical trial marketing efforts sometimes miss the mark. Predicting site performance, spotting underperforming sites and formulating timely interventions are essential. Additionally, generative adversarial networks (GANs) can be used to simulate real recruitment scenarios, further optimizing protocol design.

Advertising 82

Advertising Data-driven Optimization Strategy 82

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

MAY 14, 2019

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Marketing Optimization. Predictive Analytics Using External Data.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. Today the technology’s advanced capabilities encourage widespread adoption.

B2B 66

B2B Interactive Optimization Forecasting 66

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

JUNE 8, 2022

‘Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’. In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

BI-Survey

JANUARY 29, 2023

Companies are therefore looking for ways to produce their plans and forecasts in less time, with less effort and with better results, because in a volatile market environment characterized by crises, there can no longer be “business as usual”, even in corporate planning. This also increasingly applies to forecasts and simulations.

Forecasting 52

Forecasting Predictive Modeling Measurement Finance 52

Smart Data Collective

APRIL 21, 2022

The global smart solar market was worth over $8.5 This will as well ensure accuracy in forecasting power generation rates and respective grid adjustments. To properly optimize the overall solar farm efficiency, every solar panel must operate at its peak capacity. Effective production forecast.

IoT 99

IoT Internet of Things Forecasting Predictive Modeling 99

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 Diagnostic Analytics 157

Jedox

APRIL 16, 2020

What does your economic forecast look like for the foreseeable future? EPM (Enterprise Performance Management) incorporates the power of automated planning, budgeting, and forecasting with the powerful capabilities of tools such as artificial intelligence and machine learning. Forecast realistic outcomes.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

DataRobot Blog

JUNE 24, 2022

That traditional approach normally included analyzing how real estate property assets performed in the past but also often looking for market trends. Recent examples include the pandemic shock, which led to a temporary market freeze, followed by a demand and supply imbalance that brought to unexpected rises in real estate prices.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data.

Predictive Modeling 40

Predictive Modeling Predictive Analytics Forecasting Optimization 40

Sisense

JANUARY 26, 2020

The process of producing goods is an enormous opportunity for data optimization. Because the steps are repeated so many times through the process, a small edge created via predictive analytics in manufacturing will be magnified at every repetition to produce significant benefit. Improve forecasts and maximize revenue.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

Sisense

MARCH 7, 2021

Read on to find out how Measuremen optimizes workspace utilization, Skullcandy minimizes product returns, and Air Canada improves airline safety. Measuremen: Optimizing facilities use with data from numerous sources. Skullcandy: Listening to the market. How does it work in real life? And that journey is still going on.”.

Slice and Dice 98

Slice and Dice Data-driven Cost-Benefit Forecasting 98

Smarten

MAY 15, 2019

Even with an unlimited budget, it would not be a wise decision for a business to target every customer in the market. Predictive analytics can identify a trend or pattern so that the organization can anticipate that the market, or buying behavior is changing. Marketing Optimization. Online Target Marketing.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Recreation/Entertainment 51

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Smarten

MAY 13, 2019

The cost of acquiring a new customer includes marketing and advertising, resources and personnel, customer support, search engine optimization and more. Use Predictive Analytics to identify at risk customers and issues that will impact customer churn and customer retention. Marketing Optimization. Quality Control.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

Smarten

MAY 17, 2019

If you can easily integrate data from sources outside the business, you can provide a more comprehensive picture for predicting and forecasting results and anticipating the needs of the market. Online Target Marketing. Marketing Optimization. Customer Targeting. Product and Service Cross-Sell and Upsell.

Predictive Analytics 58

Predictive Analytics Analytics Predictive Modeling Risk Management 58

IBM Big Data Hub

DECEMBER 20, 2023

Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences. In other words, ML leverages input data to predict outputs, continuously updating outputs as new data becomes available.

Machine Learning 75

Machine Learning Modeling Deep Learning Predictive Modeling 75

Jedox

APRIL 16, 2020

What does your economic forecast look like for the foreseeable future? EPM (Enterprise Performance Management) incorporates the power of automated planning, budgeting, and forecasting with the powerful capabilities of tools such as artificial intelligence and machine learning. Forecast realistic outcomes.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Many stock market transactions use ML.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

bridgei2i

DECEMBER 15, 2021

Naturally, the change in consumer behavior prompted media companies to change their business models. Today, almost all the major media houses have entered the OTT market and consumers enjoy seemingly limitless options for media consumption. Anticipating Demand through Predictive Modelling on OTT. billion by 2025.[1]

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

Cloudera

SEPTEMBER 7, 2023

Push predictive analytics to optimize operations and enhance profitability. Glean insights into customer behavior and market trends that also correspond to overlooked sales opportunities. Robust security mechanisms, such as IAM and RBAC, ensure that only authorized individuals can access sensitive AI models and data.

Insurance 81

Insurance Risk Data-driven Finance 81

datapine

AUGUST 14, 2019

There are a number of tools available on the market, and knowing which one to choose to increase performance can be time-consuming, and often confusing. The use of machine learning, predictive analytics, and various data connectors that enable the user to work with enormous amounts of databases, flat files, marketing analytics, CRM, etc.,

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales. Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smarten

APRIL 2, 2019

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. Advanced analytics is the logical tool to help a business optimize its investments and achieve its goals.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

Smarten

OCTOBER 9, 2018

Today, predictive analytics is, and must be, accessible to business users, if your enterprise is to grow and respond to the need for data democratization and increased productivity within the enterprise and to the rapid changes in the market, competition, resource and supplier needs and customer buying behavior.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

Jet Global

SEPTEMBER 1, 2023

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52