DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. An Optimal Opportunity. So what’s the alternative? Capitalizing on Familiarity.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

CIO Business Intelligence

MAY 9, 2024

Driving business benefits Companies seeking CAIOs are looking to reap myriad benefits from AI adoption, ranging from improved decision-making, to increased efficiency of business processes, higher-quality services, profitability, talent management, customer experience, and innovation.

Risk Management 129

Risk Management Risk Cost-Benefit Technology 129

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”). Source: [link]

Analytics 166

Analytics Machine Learning Data Science Deep Learning 166

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. 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 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately.

B2B 49

B2B Interactive Optimization Forecasting 49

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

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

JULY 13, 2023

When an organization implements a Citizen Data Scientist initiative, it can leverage Assisted Predictive Modeling and provide advantages to the business users.’ To succeed, these businesses must have a dependable process for attracting the right clientele and reviewing, approving, and managing loans.

Predictive Modeling 52

Predictive Modeling Predictive Analytics Cost-Benefit Advertising 52

CIO Business Intelligence

DECEMBER 11, 2023

This can include steps like replacing the traditional net present value/discounted cash flow calculator with multi-scenario models to stress-test multiple different forecasts under countless different scenarios. Learn more about how EXL can put generative AI to work for your business here.

Finance 104

Finance Forecasting IoT Predictive Modeling 104

AWS Big Data

NOVEMBER 10, 2023

Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency. Additionally, you’ll benefit from performance improvements through pushdown optimizations, further enhancing the efficiency of your operations.

Data Processing 91

Data Processing Data Lake Data Warehouse Optimization 91

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive Analytics can help businesses in reducing risk (eg. Credit Risk Analysis) maximizing opportunities (predicting Customer LifeTime Value) and improving operational efficiencies (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

SEPTEMBER 28, 2022

In order to understand how businesses might use assisted predictive modeling and predictive analytics, let’s look at some business use cases and how analytical techniques can help the enterprise derive concise, clear information to support decisions and strategies. Maintenance Management. Marketing Optimization.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Appliance-based models are usually significantly more expensive than disaggregated solutions.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. An Optimal Opportunity. So what’s the alternative? Capitalizing on Familiarity.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive Analytics can help businesses in reducing risk (eg. Credit Risk Analysis) maximizing opportunities (predicting Customer LifeTime Value) and improving operational efficiencies (eg. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

AUGUST 23, 2023

Optimization problems, for which a whole chorus of variables must be fine-tuned and modulated, routinely plague financial firms, especially when it comes to highly engineered financial products such as those developed through quantitative analysis. If there’s an industry steeped in computations, it’s the financial services sector.

IT 93

IT Machine Learning Risk Optimization 93

DataRobot

NOVEMBER 1, 2021

Practitioners in the AI space are focused on the speed and accuracy of model predictions. But the end game for the applicability of models is not in the predictions, but the decisions they enable, and predictive models alone don’t ensure better decisions. What Is Decision Intelligence?

Machine Learning 98

Machine Learning Manufacturing Predictive Modeling Optimization 98

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Unstructured Data 82

Unstructured Data Consulting Visualization IoT 82

Smarten

MARCH 13, 2024

If you are an IT professional, a business manager or an executive, you have probably been following the progress of the Citizen Data Scientist movement. For a number of years, Gartner and other technology research and analysis firms have predicted and monitored the growth of this phenomenon. ’ So, how is it going?

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

BI-Survey

MARCH 16, 2021

Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements. Thus, forecasts are becoming a central management tool, which is why 85 percent of companies regularly create forecasts for the entire company or part of it.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements. Thus, forecasts are becoming a central management tool, which is why 85 percent of companies regularly create forecasts for the entire company or part of it.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

CIO Business Intelligence

OCTOBER 5, 2023

Over time, using machine learning and AI, CBRE has managed to reduce manual lease processing times by 25% and cut positive false alarms in managed commercial facilities by 65%. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 129

Experimentation Strategy Machine Learning Interactive 129

IBM Big Data Hub

APRIL 28, 2022

To reduce delays, human errors and overall costs, data and IT leaders need to look beyond traditional data best practices and shift toward modern data management agility solutions that are powered by AI. Consequently, a data fabric self-manages and automates data discovery, governance and consumption, which enables.

Metadata 87

Metadata Data Warehouse Forecasting Predictive Modeling 87

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. These elements contribute to a fuller understanding of the operational landscape, enabling proactive management and issue mitigation. The above image shows an example custom ‘data in use’ test of a predictive model and API.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

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. Maintenance Management. Marketing Optimization. Learn More: Demand Planning.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

IBM Big Data Hub

MAY 6, 2024

Predicting site performance, spotting underperforming sites and formulating timely interventions are essential. Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement.

Advertising 57

Advertising Data-driven Optimization Strategy 57

Rocket-Powered Data Science

FEBRUARY 12, 2021

IA incorporates feedback, learning, improvement, and optimization in the automation loop. Interest in AI is high and growing, specifically in the areas of smart analytics, customer-centricity, chatbots, and predictive modeling. The average ROI from RPA/IA deployments is 250%.

ROI 233

ROI Digital Transformation Reporting Machine Learning 233

IBM Big Data Hub

JUNE 29, 2023

Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. In order to take a proactive approach to asset reliability, maintenance managers rely on two widely used metrics: mean time between failure, (MTBF) and mean time to repair (MTTR).

Cost-Benefit 88

Cost-Benefit Measurement Management Predictive Analytics 88

Smarten

JUNE 8, 2022

Whether you have recently been nominated to become a Citizen Data Scientist or you are considering the value of this type of transition for your business, managers and team members alike often ask exactly what a Citizen Data Scientist can do. What follows is a short list of sample use cases that leverage predictive analytics.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Cloudera

AUGUST 4, 2021

I will talk more about Predictive Maintenance in the Public Sector and how government agencies are optimizing equipment maintenance with data insight during Cloudera’s Industry Event on August 5. Organizations need a secure, governed, scalable platform that can easily ingest, store, manage, and process streaming data—at a lower cost.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. The reality of LLMs and other “narrow” AI technologies is that none of them is turn-key.

Insurance 81

Insurance Risk Data-driven Finance 81

Smarten

MAY 17, 2019

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here. Maintenance Management. Marketing Optimization.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Smart Data Collective

APRIL 21, 2022

However, as the solar farm ramps up, energy companies are taking a new approach to manage their assets to ensure the smooth integration of renewables into the grid. To properly optimize the overall solar farm efficiency, every solar panel must operate at its peak capacity. The global smart solar market was worth over $8.5

IoT 101

IoT Internet of Things Forecasting Predictive Modeling 101