DataRobot Blog

APRIL 15, 2022

There is a need to optimize supply to meet demand. One way to determine if supply can meet demand is to forecast how much solar power can be generated in advance. Forecasting how much solar power will be generated is directly dependent on the availability of solar radiation or sunlight in layman terms. DataRobot Core.

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Forecasting Optimization Measurement Machine Learning 52

AWS Big Data

OCTOBER 9, 2024

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This sped up their need to optimize.

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Optimization Testing Data-driven Strategy 122

Smart Data Collective

AUGUST 26, 2021

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics.

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Forecasting Data Analytics Analytics IoT 132

AWS Big Data

APRIL 11, 2023

Forecasting is another critical component of effective inventory management. Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue.

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Forecasting Management IoT Data-driven 82

IBM Big Data Hub

JULY 5, 2023

However, cloud services costs can be higher than anticipated, so monitoring and optimizing your cloud spend is critical. Cloud cost optimization combines strategies, techniques, best practices and tools to help reduce cloud costs, find the most cost-effective way to run your applications in the cloud environment, and maximize business value.

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Optimization Forecasting ROI Metrics 63

Jedox

JULY 30, 2020

Rolling forecasts are a specific type of financial forecasting that use existing data to help predict aspects of business performance throughout the year. In this blog post, we explain what’s unique about this type of forecasting, how it works and why more and more companies are opting for rolling forecasts.

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Forecasting Finance Marketing Sales 89

CIO Business Intelligence

JULY 2, 2024

Shankar notes that AI can also equip IT teams with the data-driven insights needed to optimize resource allocation, prioritize upgrades, and plan for the future. Complex business decisions, such as fraud detection and price optimization, can now be made in real-time based on huge amounts of data,” Liddle states.

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IT Machine Learning Cost-Benefit Software 143

Dataiku

JULY 8, 2020

Not only can organizations leverage data science and machine learning for things like time savings, more efficient processes, and cost optimization, but they can also use it for fully automated cash flow forecasting that can produce results precise enough for the modern enterprise and a changing environment.

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CIO Business Intelligence

MAY 21, 2024

We were using LLMs for chat support for administrators and employees, but when you get into vector data, and large graphical structures with a couple of hundred million rows of inter-related data and you want to optimize towards a predictive model for the future, you can’t get anywhere with LLMs,” says MakeShift CTO Danny McGuinness.

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IT Cost-Benefit Experimentation Forecasting 130

Smarten

JUNE 14, 2023

GPT-4 has a capacity of more than 175 billion machine learning parameters, and can support many types of tasks, e.g., answering questions, providing machine translation, summarizing text, time series forecasting, etc. If we are to safely and securely optimize its potential, GPT must be managed as it evolves.

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CIO Business Intelligence

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. Marsh McLennan has been using ML algorithms for several years for forecasting, anomaly detection, and image recognition in claims processing. The idea, Beswick says, was to enable the creation of an application in days — which set a.

IT 117

IT Insurance Consulting Risk 117

CIO Business Intelligence

FEBRUARY 8, 2024

Cognizant Technology Solutions announced a full-year revenue forecast below expectations. If there is a need, they will continue to add capacity or else scale down and optimize the cost.” These developments, along with broader market reports, have cast a shadow over the growth prospects of the IT services sector.

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IT Uncertainty Consulting Forecasting 94

CIO Business Intelligence

SEPTEMBER 26, 2024

A study by Zebra Technologies further supports Franz in that data collected via RAIN RFID-enabled systems can deliver helpful insights into inventory movements, patterns, and issues, helping retailers optimize operations and address losses due to theft or errors. The benefits are potentially huge.

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IT Manufacturing IoT Cost-Benefit 121

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

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Optimization Data Analytics Analytics Data-driven 73

IBM Big Data Hub

JULY 5, 2023

I have talked to guests who turned from being software experts to hardware experts, who went from working on Java compilers to developing AI-optimized mainframe chips, from research to consulting, and more. In this final blog post, I want to talk about the theme of “Life Stories.” It’s part of their DNA.

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CIO Business Intelligence

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. Marsh McLellan has been using ML algorithms for several years for forecasting, anomaly detection, and image recognition in claims processing. The idea, Beswick says, was to enable the creation of an application in days — which set a.

IT 99

IT Insurance Consulting Risk 99

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. This post shows you how we migrated to a serverless data lake built on AWS that consumes data automatically from multiple sources and different formats.

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CIO Business Intelligence

JUNE 13, 2024

According to Gartner, IT spending in the Middle East and North Africa (MENA) region is forecast to total 193.7 According to Gartner, IT spending in the Middle East and North Africa (MENA) region is forecast to total 193.7 billion USD in 2024, an increase of 5.2% billion USD in 2024, an increase of 5.2%

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Internet of Things IoT IT Digital Transformation 104

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. This technology has the potential to significantly redefine the mission of the financial planning and analysis group. And it must be C ompany-wide, not siloed.

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Forecasting Machine Learning Finance Predictive Analytics 130

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. Helps you to determine areas of abnormal losses and profits to optimize your trading algorithm. Geometric trading patterns can help you forecast how markets will behave. But first, What is DirectX Anyway?

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Visualization Optimization Analytics Testing 133

CIO Business Intelligence

FEBRUARY 1, 2023

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. It’s an issue that’s coming to the fore with the steady migration to the cloud.

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Optimization Cost-Benefit Consulting Strategy 111

Jedox

NOVEMBER 23, 2021

The goal is to adopt an entrepreneurial mindset, make proactive decisions and to optimally support this with a professional, fully integrated S&OP solution. 5 steps to optimize S&OP performance. Step 1 – Product portfolio optimization based on strategic company goals. Figure 3: Top-down vs. bottom-Up product planning.

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Optimization Forecasting Sales Dashboards 76

CIO Business Intelligence

MARCH 12, 2024

Sales leaders will also be able to use it to enhance sales forecast accuracy and receive real-time coaching tips for their teams, the company said. For the marketing offering, the Copilot will enable users to design optimal campaign flows, select the most responsive audiences, and prepare all necessary communication templates.

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IT Sales Forecasting Marketing 98

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.

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CIO Business Intelligence

NOVEMBER 18, 2022

To optimize cloud investments, C-level executives are increasingly adopting cloud financial operations (FinOps). In this article, I’ll explore common cloud optimization and FinOps challenges and strategies for overcoming them. Utilization and efficiency provide vital insights for understanding the business value of expenses incurred.

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Optimization KPI Key Performance Indicator Cost-Benefit 91

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. To improve the performance of such demand forecasting models, we can use several modeling techniques.

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Forecasting Sales Data-driven Modeling 59

Sisense

FEBRUARY 25, 2021

One of the most important applications of data is using it to forecast the future. This is where forecasting analytics can be a game-changer in the decision-making process. There is a massive need for forecasting analytics in this use case, but how does a theater use data to guide decisions? Data-driven forecasting decisions.

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Forecasting Analytics Predictive Modeling Machine Learning 52

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

Jedox

AUGUST 13, 2020

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. In our third and last post in this series, we give five tips for a successful implementation of rolling forecasts in your organization’s FP&A processes. .

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Forecasting Risk Finance Software 52

Smart Data Collective

APRIL 20, 2020

Corporations need data to forecast the market’s future and the recent drop in the price of fossil fuels have invigorated alternative energy projects globally. Analytics are helping the energy sector to optimize power generation and planning. Smart metering helps predict demand and forecasts what will be needed based on data.

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Forecasting Uncertainty Big Data Marketing 97

CIO Business Intelligence

JULY 5, 2024

Leading the charge is Sandeep Gupta, chief digital and information officer, who says the Indian oil and gas company is leveraging information technology and data as part of a massive transformation of its five core pillars: exploration for energy sources, surface, subsurface, asset optimization, and health, safety, and environment (HSE).

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IT B2B Enterprise IoT 117

Jet Global

JULY 11, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. This technology is being used in every industry, from banking to retail to determine customer responses or purchases, forecast inventory, manage resources, and even detect fraud.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Cloudera

DECEMBER 20, 2022

With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model.

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Optimization Data Analytics Analytics Cost-Benefit 79

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. The ability to seize these advantages is one way that pharmaceutical companies may be able to gain sizable competitive edge.

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Optimization Forecasting Data-driven Strategy 55

CIO Business Intelligence

MAY 8, 2024

Process automation and improvement is a perennial CIO agenda item, and the call for business process optimization is only getting louder — especially for those processes directly tied to the bottom line. ExpionIQ Advisor has cut the time to calculate the numbers needed for an RFP to a few hours, instead of days, Kumar says.

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Insurance IT Cost-Benefit Unstructured Data 104

CIO Business Intelligence

FEBRUARY 13, 2023

We run factories and help companies run them and optimize them” and AI is used to optimize everything from getting more throughput to better quality to preventative maintenance, productivity, and cost optimization, Nardecchia says. The company is embedding AI into each level of the tech stack it sells to customers, he says. “We

IT 145

IT Insurance Machine Learning Marketing 145

IBM Big Data Hub

JULY 25, 2023

This software, and the insights it provides, can help providers predict demand patterns, identify potential issues and optimize the distribution network. Optimizing your smart grid Smart grid technology has countless benefits, including increased grid efficiency and reliability and easy integration with renewable energy sources.

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Optimization Technology Measurement Cost-Benefit 56