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. It will do so by substantially reducing the time spent on the purely mechanical aspects of day-to-day tasks. This may sound like FP&A’s mission today.

Forecasting 130

Forecasting Machine Learning Finance Software 130

IBM Big Data Hub

OCTOBER 17, 2023

For example, say we predict the quality of the clinker in advance, then we are able to optimize the heat energy and combustion in the cement kiln in such a way that quality clinker is produced at minimum energy. Such optimization of the processes reduces energy consumption and in turn reduces both energy emission and process emission.

Modeling 96

Modeling Optimization Manufacturing Forecasting 96

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. Enables animation and object modeling of 3D charts for better analysis and testing.

Visualization 134

Visualization Optimization Analytics Testing 134

AWS Big Data

FEBRUARY 1, 2023

Storage and redundancy – Due to the heterogeneous data stores and models, it was challenging to store the different datasets from various business stakeholder teams. 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.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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. He is now tasked with ensuring sustainability across globally distributed data centers. Grady Booch is a legend among software engineers.

Forecasting 51

Forecasting Software Consulting Optimization 51

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

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.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

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. Then they must choose a financial model, whether an even split, fixed, or proportional model.

Optimization 91

Optimization KPI Key Performance Indicator Cost-Benefit 91

Jedox

NOVEMBER 23, 2021

The last blog post from our guest authors at smartPM.solutions was about S&OP maturity and the classification of your current S&OP situation according to the 5-stage Gartner S&OP Maturity Model. 5 steps to optimize S&OP performance. Step 1 – Product portfolio optimization based on strategic company goals.

Optimization 76

Optimization Forecasting Sales Dashboards 76

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.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

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.

Optimization 111

Optimization Cost-Benefit Consulting Strategy 111

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. To do so they require data, which is in no shortage. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

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.

Optimization 80

Optimization Data Analytics Analytics Cost-Benefit 80

Smarten

MARCH 23, 2020

Predictive Analytics for Business Users = Assisted Predictive Modeling! These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. Are you tired of using guesswork and opinions to make business decisions?

Predictive Analytics 52

Predictive Analytics Forecasting Predictive Modeling Analytics 52

IBM Big Data Hub

JULY 25, 2023

Smart grids turn this model on its head. This software, and the insights it provides, can help providers predict demand patterns, identify potential issues and optimize the distribution network. However, to really maximize the benefits of a smart grid, power companies must implement effective optimization strategies as well.

Optimization 56

Optimization Technology Measurement Cost-Benefit 56

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

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.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

IBM Big Data Hub

DECEMBER 19, 2023

A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given. Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection.

Machine Learning 64

Machine Learning Optimization Unstructured Data Sales 64

Jedox

JUNE 24, 2021

Classic sales-support activities such as sales enablement, sales process development, sales training, sales analytics, sales metrics and sales forecasting are unthinkable without the above-mentioned data. Maximizing business value through improved collaboration is key to long-term optimization of marketing and sales operations.

Sales 98

Sales Marketing Optimization Metrics 98

CIO Business Intelligence

APRIL 30, 2024

IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1 over the 2023-2027 forecast period 1. Bandwidth optimization. This optimization improves efficiency and reduces costs.

Forecasting 105

Forecasting Optimization Advertising IoT 105

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

DataRobot

JUNE 24, 2021

Today, the two organizations are excited to announce that they have partnered together to tackle one of the most complex challenges that retailers face: demand forecasting. DataRobot and Palantir have teamed up to take these issues head on with their Demand Forecasting solution.

Forecasting 52

Forecasting Machine Learning Modeling Dashboards 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

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

MAY 21, 2024

Epicor Grow AI applications include multiple capabilities such as inventory forecasting, AI generated sales orders from emails, personalized product suggestions based on order history, predictive maintenance recommendations for fleets, and more, within the context of familiar Epicor products.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

CIO Business Intelligence

SEPTEMBER 26, 2024

That’s because significant challenges persist in leveraging GenAI’s large language models (LLMs). Underpinning this is an AI-optimized infrastructure, the first layer (or the nuts and bolts) of the factory itself. For instance, organizations can implement ideal code examples and preferred processes into code-writing models.

Enterprise 130

Enterprise Data-driven Risk Testing 130

CIO Business Intelligence

SEPTEMBER 7, 2023

The first is forecasting, where AI is used to make predictions about downstream demand or upstream shortages. Ultimately, AI will optimize supply chains to meet specific customer needs for any given situation. In the meantime, many companies continue to reap the benefits of improved forecasting and inspection.

Management 138

Management Forecasting Manufacturing Cost-Benefit 138

Smarten

JUNE 14, 2023

GPT, or Generative Pre-Trained Transformer, is a Large Language Model (LLM). 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.

Optimization 52

Optimization IT Digital Transformation Consulting 52

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

MAY 21, 2024

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

IT 131

IT Cost-Benefit Experimentation Forecasting 131

CIO Business Intelligence

FEBRUARY 13, 2024

The new features appear in its Oracle Transportation Management and Oracle Global Trade Management applications, and include expanded business intelligence capabilities, enhanced logistics network modelling, a new trade incentive program, and an updated Transportation Management Mobile application. billion annually in 2026, up from $5.3

Management 122

Management Forecasting Machine Learning Business Intelligence 122

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

CIO Business Intelligence

SEPTEMBER 12, 2024

Agentforce, which has been in pilot phase for the past six months, combines three major Salesforce tools — Agent Builder, Model Builder, and Prompt Builder — to provide the necessary software development infrastructure to create these autonomous agents, according to the company.

Sales 143

Sales Enterprise Optimization Cost-Benefit 143

CIO Business Intelligence

AUGUST 20, 2024

Implementing AI algorithms directly on local edge devices, such as sensors or Internet of Things (IoT) devices, enables local processing and analysis for real-time decision-making, and models can continue to function even when connectivity is lost. Finding solutions that simplify edge operations is critical for success. initiatives.

Manufacturing 116

Manufacturing IoT Internet of Things Optimization 116

Smart Data Collective

OCTOBER 6, 2023

Data analytics technology has helped retail companies optimize their business models in a number of ways. Data Analyst Solomon Nyamson wrote an article on Linkedin pointing out that predictive analytics tools like Sarima have made it easier than ever to forecast retail sales due to seasonal changes.

Management 121

Management Analytics Predictive Analytics Cost-Benefit 121