The Unofficial Google Data Science Blog

DECEMBER 4, 2019

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. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Smart Data Collective

JANUARY 14, 2021

A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. While this obviously means that there is more risk, it also gives more informed investors a chance to beat market benchmarks.

Predictive Analytics 86

Predictive Analytics Forecasting Analytics Machine Learning 86

Smart Data Collective

JUNE 18, 2021

National Institute of Justice’s (NIJ) “ Recidivism Forecasting Challenge ” (the Challenge) aims to increase public safety and improve the fair administration of justice across the United States. NIJ will evaluate all entries on how accurately they forecast the outcome of recidivism. In accordance with priorities set by the U.S.

Predictive Analytics 71

Predictive Analytics Forecasting Analytics Big Data 71

Jedox

OCTOBER 15, 2020

Suddenly your tried and true navigational skills and processes and the way you have always assessed risks and opportunities has been taken away from you. The world has changed so much and so quickly that it has vastly impacted our ability to forecast in the current environment.

Forecasting 58

Forecasting Modeling Technology Risk 58

The Data Visualisation Catalogue

OCTOBER 18, 2024

A Fan Chart is a visualisation tool used in time series analysis to display forecasts and associated uncertainties. Also, as the forecast extends further into the future, uncertainty grows, causing the shaded areas to widen and give this chart its distinctive ‘fan’ appearance.

Snapshot 83

Snapshot Uncertainty Forecasting Risk 83

Jet Global

NOVEMBER 16, 2020

It helps them to react to small and large market fluctuations in the most cost-effective and strategic manner, modelling ”what-if” situations according to both known and unknown information. Learn how to enable complex planning and forecasting processes. Understand how to reduce tax errors and improve productivity.

Forecasting 98

Forecasting Snapshot Finance Recreation/Entertainment 98

CIO Business Intelligence

NOVEMBER 12, 2024

This will mean that leaders will also need to be experts in various areas such as data analysis, AI strategy, ethical assessment, and risk management. The majority (51%) of respondents believe that decision-making positions will become more niche as a result of the use of generative AI. Here, as leaders, we have a great responsibility.”

Management 117

Management Risk Management Forecasting Risk 117

Jet Global

NOVEMBER 2, 2021

This applies to collaborative planning, budgeting, and forecasting, which, without the right tools, can be daunting on its best day. What can hold you back from working smarter is often times the risk of integrating better tools that, although promise improvements, run the risk of throwing off your whole process through its implementation.

Forecasting 52

Forecasting Cost-Benefit Risk Software 52

Jet Global

JULY 30, 2020

In many cases, you can improve the value Excel offers your budgeting and forecasting activities just by taking time to learn some of its nuances. To that end, we’ve compiled five useful tips to help you improve your use of Excel when budgeting and forecasting for your business.

Forecasting 91

Forecasting Finance Cost-Benefit Software 91

Dataiku

APRIL 5, 2019

Forecasting and planning are some of the very oldest use cases of modern statistics - businesses as far back as the 1950s used computer-based modeling to anticipate risks and make decisions.

Forecasting 65

Forecasting Statistics Risk Modeling 65

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

SEPTEMBER 26, 2024

That’s because significant challenges persist in leveraging GenAI’s large language models (LLMs). One is the security and compliance risks inherent to GenAI. To make accurate, data-driven decisions, businesses need to feed LLMs with proprietary information, but this risks exposing sensitive data to unauthorized parties.

Enterprise 130

Enterprise Data-driven Risk Testing 130

BI-Survey

MARCH 16, 2021

Corporate planning and forecasting needs to be carried out efficiently, in shorter cycles and must be updated quickly for well-founded decision-making. Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Corporate planning and forecasting needs to be carried out efficiently, in shorter cycles and must be updated quickly for well-founded decision-making. Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

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.

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Predictive Analytics Analytics Predictive Modeling Forecasting 145

David Menninger's Analyst Perspectives

OCTOBER 30, 2024

Predictive analytics also can be used to signal when forecasts or forecast components diverge from plan, allowing enterprises to react to changing circumstances sooner and with greater accuracy and coordination. This helps them maintain optimal inventory levels, reducing costs as well as the risk of overstocking or stockouts.

Management 130

Management IT Sales Manufacturing 130

Dataiku

OCTOBER 23, 2024

Actuaries sit at the crossroads of risk, data, and decision making. Every forecast, every model, and every recommendation they make relies on their ability to process and analyze vast, complex datasets. Here’s how Dataiku supports actuaries at every stage of their work.

Forecasting 52

Forecasting Risk Modeling 52

Jet Global

NOVEMBER 19, 2020

2020 brought with it a series of events that have increased volatility and risk for most businesses. Let’s look at some of the key risk categories that are often encountered by growing businesses. Credit Risk. An area of particular concern is credit risk concentration. Revenue Concentration Risk.

Risk 98

Risk Reporting Enterprise Sales 98

O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 135

Modeling Finance Uncertainty Data mining 135

Jedox

SEPTEMBER 11, 2019

Even though we have so much advanced technology surrounding us, we still cannot just ask, “ Hey Siri, what’s my forecasted EBITDA look like ?” Many of the algorithms used for budgeting, planning, and forecasting are already in use and were proven decades ago. This is not just risk mitigation. ” Common FP&A Use Cases.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

IBM Big Data Hub

MAY 1, 2024

From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless. Inventory management Generative AI models can continuously generate optimized replenishment plans based on real-time demand signals, supplier lead times and inventory levels.

Forecasting 78

Forecasting Optimization Digital Transformation Risk 78

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. PODCAST: COVID 19 | Redefining Digital Enterprises. Management.

Risk Management 128

Risk Management Risk Enterprise Management 128

IBM Big Data Hub

MARCH 25, 2024

For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well. Longer-term local climate change risks might still devalue property that hasn’t suffered damage. As a result, their market would shrink.

Insurance 85

Insurance Forecasting Risk Risk Management 85

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

Smart Data Collective

MARCH 2, 2023

Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services. Therefore, it is a good idea to have predictive analytics models that account for these variables. Many different factors influence demand for any product.

Big Data 85

Big Data Uncertainty Risk Data mining 85

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. With Databricks, the firm has also begun its journey into generative AI.

IT 122

IT Insurance Consulting Risk 122

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

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. 16% of respondents working with AI are using open source models. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop.

Enterprise 277

Enterprise Testing Modeling Reporting 277

CIO Business Intelligence

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI A human reviews it to make sure it makes sense, and if it does, the AI incorporates that into the learning model,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Hollywood is a $10 billion-a-year industry, and movies range from huge hits to box office bombs.

Risk 67

Risk ROI Modeling Metrics 67

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

CIO Business Intelligence

MAY 6, 2024

Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of. While these Workload Commitments do not always garner the highest tier of credits/incentives, it provides customers with a simpler consumption approach that avoids much of the risk of underutilization.

Marketing 131

Marketing Strategy IT Data Processing 131

CIO Business Intelligence

JUNE 13, 2024

billion by 2027, according to a forecast by IDC , which translates to an annual growth rate of 86.1% Ryan O’Leary: “The big ethical challenges are the risks of misinformation, biases, and potential privacy breaches. Before training GenAI models, personal identifiers should be removed or masked. over the three-year period.

Forecasting 137

Forecasting Risk Finance Machine Learning 137

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

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. With Databricks, the firm has also begun its journey into generative AI.

IT 105

IT Insurance Consulting Risk 105

Smart Data Collective

JULY 28, 2022

The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed. Many experts are using predictive analytics technology to forecast the future value of bitcoin. The good news is that predictive analytics technology can reduce risk exposure for these investors.

Predictive Analytics 137

Predictive Analytics Analytics Forecasting Machine Learning 137