DataRobot Blog

DECEMBER 7, 2019

Using the DataRobot’s automated machine learning platform and data from numerous sources ranging from MLB payrolls, to free agent signings, to historical player performance, we built an array of AI models to tell us specific details about how this free agent market would play out, showing contract values, terms, and destinations for every player.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

CIO Business Intelligence

DECEMBER 6, 2023

We all saw a global case study in how the cloud can support resiliency when the pandemic hit in 2020. Those who are willing to make it central to their transformation journeys will open themselves up to new models and revenue streams that will become proof of their future promise. IT Leadership

Forecasting 109

Forecasting Uncertainty Modeling Optimization 109

Jet Global

SEPTEMBER 4, 2020

This model for planning is the best practice approach and ensures an organization is constructing their plans, forecasts, and/or budgets based on key business and value drivers. Provides better accuracy of plans, forecasts, and budgets. Generates more iterations of plans and forecasts. Driver-Based Planning.

Forecasting 52

Forecasting Finance Software Reporting 52

CIO Business Intelligence

SEPTEMBER 1, 2023

As part of Microsoft’s development team, Sun created Bing Predicts, the inference engine that provides the “favored to win” forecasts beneath search results for sporting fixtures and attempted to predict the 2016 US presidential election winner. She joined the company in 2020, after a three-year stint in a similar role at Lenovo.

IT 105

IT Reporting Forecasting Data Quality 105

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

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Predictive Analytics for Sales Forecasting.

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

Smart Data Collective

OCTOBER 14, 2019

Gartner estimates a retail IT spend forecast of $210.9 Apache Hadoop develops open-source software and lets developers process large amounts of data across different computers by using simple models. The post Big Data Skill sets that Software Developers will Need in 2020 appeared first on SmartData Collective.

Big Data 75

Big Data Software Data mining Prescriptive Analytics 75

Jet Global

MAY 20, 2020

Update forecasts on a daily, weekly, or monthly basis, or on demand with input from front-line workers to drive greater accuracy. Analyze figures by viewing budgets, forecasts, and actuals side-by-side in real time. Increase agility by modelling multiple scenarios to prepare for several potential future outcomes. Register Now.

Finance 98

Finance Forecasting Reporting Modeling 98

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. Efficient clinical trial site selection continues to be a prominent industry-wide challenge. To do so they require data, which is in no shortage.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. This type of capability would have been handy in 2020 when the pandemic really kicked in and the lockdowns started. Machine learning models trained on 2019 data didn’t know what to do. Sounds pretty cool, right?

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

CIO Business Intelligence

FEBRUARY 8, 2024

Cognizant Technology Solutions announced a full-year revenue forecast below expectations. Tata Consultancy Services experienced its slowest profit growth since 2020 in the December quarter, and Infosys failed to meet its quarterly profit expectations. For instance, many of them use solutions from Microsoft, AWS, Google, and the like.

IT 94

IT Uncertainty Consulting Forecasting 94

Smart Data Collective

AUGUST 31, 2020

Predictive analytics models have proven to be remarkably effective with the stock futures market. One company that uses big data to forecast stock prices has found that its algorithms outperform similar forecasts by 26%. They build complex machine learning models that rely on numerous pieces of information.

Big Data 91

Big Data Forecasting Machine Learning Marketing 91

Cloudera

AUGUST 3, 2021

January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. .

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

Smart Data Collective

OCTOBER 13, 2020

They found that predictive analytics algorithms were using social media data to forecast asset prices. Predictive analytics have become even more influential in the future of altcoins in 2020. That appears unlikely, however, even with the momentum of the 2020 altcoin season driving continued growth. Very carefully.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. The whole company rebranded as Very in 2020, the year Pimblett joined. You know, good old DBAs, modelers, and analysts.”.

IT 91

IT Forecasting Data Lake Enterprise 91

Jedox

JANUARY 3, 2023

Even in a highly uncertain environment, organizations can adapt more easily by conducting more frequent financial forecasts, modeling multiple scenarios , integrating external data sources, and building closer collaboration between the business and FP&A teams. Integrated business planning creates more meaningful collaboration.

Uncertainty 81

Uncertainty Forecasting Finance Data-driven 81

DataRobot Blog

MARCH 17, 2022

In the face of this pressure, more and more companies are looking for ways to automate forecasting and empower front-line decision-makers with actionable insights. all users in your organization can create a no-code-required application that sits on top of a Time Series deployment for accessing actionable forecasts— within minutes.

Forecasting 52

Forecasting Machine Learning Data-driven Uncertainty 52

Jedox

SEPTEMBER 3, 2020

The depth and breadth of the 2020 crisis caught many unaware. Many pre-crisis business assumptions and planning models became outmoded overnight. The room for poor assumptions and missed forecasts shrank. However, integrating third-party data into old static models would be a formidable challenge even for the best of companies.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. Prescriptive Analytics.

Business Intelligence 131

Business Intelligence Visualization Dashboards Prescriptive Analytics 131

datapine

DECEMBER 11, 2019

billion by 2022—a level of growth that will shape SaaS trends in 2020. SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. 2019 was a breakthrough year for the SaaS world in many ways.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Jedox

JUNE 25, 2020

Forecasts are unreliable and quickly become outdated due to rapid changes and complexity of markets. For this, modern planning software together with artificial intelligence-based (AI-based) predictive analytics can provide important support by evaluating historical data to derive forecasts for further development.

Technology 93

Technology Finance Cost-Benefit Forecasting 93

Smart Data Collective

MARCH 2, 2023

One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. 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.

Big Data 81

Big Data Uncertainty Risk Data mining 81

Smart Data Collective

SEPTEMBER 30, 2021

One such example of AI being used for prediction of high impact weather events is the Gradient Boosted Regression Trees (GBRT) algorithm, in which it was found that in 75% of cases, AI-based forecast was chosen over human intuition by professional forecasters. An interview with BluWave-ai (2020). [8] Wildlife Conservation.

Machine Learning 121

Machine Learning Cost-Benefit Optimization Forecasting 121

Smart Data Collective

OCTOBER 19, 2021

As a result of yield farming, the DeFi industry, which is still in its infancy, expects its market valuation to rise to $10 billion by 2020. These investors will have an even better chance of achieving profitability if they use data-driven predictive analytics models to properly forecast asset prices.

Data Analytics 112

Data Analytics Analytics Big Data ROI 112

Smart Data Collective

DECEMBER 28, 2021

In 2020, data analysis will be applied primarily to real-time marketing and promotions, followed by personalizing the customer experience and predicting customer behavior and needs. These benefits are followed by advances in technology dedicated to space planning, the location of new stores, and the personalization of the offer.

Big Data 117

Big Data Machine Learning Data-driven Marketing 117

Jet Global

AUGUST 19, 2020

August 19, 2020 – insightsoftware, a global provider of enterprise software solutions for the Office of the CFO, has been named an Industry Excellence Award winner for enterprise performance management (EPM) leadership by Dresner Advisory Services, an independent analyst firm focused on business intelligence and related areas. RALEIGH, N.C.

Enterprise 52

Enterprise Management Business Intelligence Digital Transformation 52

Cloudera

SEPTEMBER 18, 2020

Demand Forecasting – Companies must move beyond basic demand forecasting using only historical transaction data to leveraging real-time datasets and external consumer demand signals. Greater visibility and forecast accuracy. Automation and expertise .

Manufacturing 80

Manufacturing IoT Forecasting Machine Learning 80

BizAcuity

DECEMBER 8, 2021

The years 2019 and 2020 have seen a spike in mobile gaming as a whole because people have been finding it extremely difficult to cope with social isolation and finally got some respite in such platforms. They also focus on revenue forecasting and campaign planning. iGaming as an industry is expanding like never before. Final Words.

Statistics 96

Statistics Measurement Forecasting Consulting 96

bridgei2i

MAY 26, 2020

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

IBM Big Data Hub

MARCH 8, 2024

The ecosystem has become more complex as business models advance and new ecommerce trends appear. Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. In the United States, the market is still emerging, bringing in a forecasted USD 32 billion as of 2023.

Consulting 88

Consulting Marketing Sales Data Processing 88

DataRobot

FEBRUARY 9, 2021

In the United States, in addition to payment holidays, a $3 trillion stimulus bill helped ease the economic pain of layoffs that took place in the spring of 2020. DataRobot can help banks quickly and accurately develop new models of customer behavior or risk, and then keep them current as conditions change.

Forecasting 52

Forecasting Risk Digital Transformation Machine Learning 52

CIO Business Intelligence

AUGUST 17, 2022

Check Point Research reported recently that it found 50% more cyberattack attempts per week on corporate networks globally in 2021 compared with 2020. The evidence that enterprises want the “autonomous” component to be built into storage platforms underscores what we forecasted for 2022. Cybercrime cost U.S. businesses more than $6.9

Enterprise 108

Enterprise Cost-Benefit Snapshot Data-driven 108

CIO Business Intelligence

JUNE 21, 2023

We were one of the most impacted industries in the pandemic economy,” says Peck, who joined Sysco as EVP and chief information and digital officer in December 2020. Sysco has also been implementing machine learning to help “smooth inventory forecasts by predicting customer behavior, inventory levels, and pricing,” Peck says.

IT 78

IT B2B Digital Transformation Sales 78

CIO Business Intelligence

JUNE 22, 2022

Carbon Neutrality 2050, and the Bio-Circular-Green Economic Model. According to a joint forecast by the Office of the National Digital Economy and Society Commission (ONDE), TIME Consulting, and Huawei, the 5G-empowered economy will reach THB2.3 Enriching 5G Adoption for Ubiquitous Connectivity. Building a Cloud-based Digital Platform.

Digital Transformation 92

Digital Transformation Uncertainty Data-driven Manufacturing 92

Anmut

NOVEMBER 10, 2020

Those are the words of the International Energy Agency’s Executive Director, Faith Birol, speaking in 2020. 2020 has seen an acceleration of the carbon-neutral agenda. Fast-forward to 2020 and Ørsted is now the ‘most sustainable company in the world’. Big Oil is facing a shake-up like never before.

Forecasting 52

Forecasting Data-driven Advertising ROI 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

Smart Data Collective

AUGUST 24, 2022

In 2020, Sudheer Palakurla, a software engineer that earned his Masters Degree from Bournemouth University, wrote a paper on the benefits of using predictive analytics to anticipate bitcoin price patterns based on historic price data. Predictive analytics models with these algorithms can be useful for forecasting future bitcoin prices.

Predictive Analytics 111

Predictive Analytics Analytics Marketing Analytics Technologies 111