DataRobot

OCTOBER 19, 2021

DataRobot applied an innovative, hybrid modeling approach, which combines mechanist epidemiological modeling with the enhanced predictive power of AI to identify COVID-19 hotspots months in advance by optimizing parameters daily to match rapidly changing dynamics of viral spread. reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

Smarten

NOVEMBER 26, 2018

Predictive Analytics used to involve a crystal ball but, today, there are other options and they are more widely accepted in the business community! And, with Assisted Predictive Modeling , your business users can leverage sophisticated tools, algorithms and techniques in a simple, intuitive environment to predict future results.

Predictive Analytics 58

Predictive Analytics Predictive Modeling Analytics Forecasting 58

BizAcuity

JANUARY 18, 2023

Predictive Analytics can help businesses in reducing risk (eg. Credit Risk Analysis) maximizing opportunities (predicting Customer LifeTime Value) and improving operational efficiencies (eg. optimizing inventory) by identifying trends and gathering insights from large volumes of data. 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 90

IT Machine Learning Risk Optimization 90

Smart Data Collective

MARCH 28, 2022

Businesses can use it to optimize their performance. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other. Prescriptive data analytics: It is used to predict outcomes and necessary subsequent actions by combining the features of big data and AI.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data.

Predictive Modeling 40

Predictive Modeling Predictive Analytics Forecasting Optimization 40

Smarten

MAY 17, 2019

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Marketing Optimization. Customer Targeting.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

IBM Big Data Hub

APRIL 28, 2022

To truly understand the data fabric’s value, let’s look at a retail supply chain use case where a data scientist wants to predict product back orders so that they can maintain optimal inventory levels and prevent customer churn. How does a data fabric impact the bottom line?

Metadata 81

Metadata Data Warehouse Forecasting Predictive Modeling 81

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. Financial and banking industries worldwide are now exploring new and intriguing techniques through which they can smoothly incorporate big data analytics in their systems for optimal results.

Big Data 142

Big Data Finance Risk Management Risk 142

CIO Business Intelligence

OCTOBER 5, 2023

As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 129

Experimentation Strategy Machine Learning Interactive 129

Smarten

MAY 14, 2019

Use Predictive Analytics to test theories and hypotheses, and identify opportunities for cross-selling and upselling in your product and service portfolio. We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

Smarten

AUGUST 21, 2019

Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 127

Advertising Machine Learning Software Measurement 127

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 118

Advertising Machine Learning Software Measurement 118

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Business Over Broadway

SEPTEMBER 27, 2018

genetic counseling, genetic testing). Analytics applied to these types of data help you generate better predictive models because your integrated data contain all the key variables that are useful in predicting customer churn. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

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. This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise.

Cost-Benefit 84

Cost-Benefit Measurement Management Predictive Analytics 84

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smarten

JANUARY 8, 2019

Assisted predictive modeling suggests techniques to analyze data that will result in the right outcome for the goals of the analysis. Business users get support for day-to-day decisions and can quickly and easily test theories and hypotheses in a risk-free environment.

Analytics 40

Analytics Predictive Modeling Visualization Business Analysis 40

DataRobot Blog

JUNE 23, 2022

Most successful ML and AI projects are replacing an existing prediction with a more accurate and/or faster one. Human intuition is relied on, or an older, hand-build BI/predictive model exists, or perhaps a set of heuristics were documented that more or less predict something. Automate and Scale Your Decisions.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales. Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

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. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

JULY 6, 2023

In 1950, data scientist Alan Turing proposed what we now call the Turing Test , which asked the question, “Can machines think?” ” The test is whether a machine can engage in conversation without a human realizing it’s a machine. On a broader level, it asks if machines can demonstrate human intelligence.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

Cloudera

FEBRUARY 16, 2022

They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. By logging the performance of every combination of search parameters within an experiment, we can choose the optimal set of parameters when building a model. Machine Learning Model Reproducibility .

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Banks and other financial institutions train ML models to recognize suspicious online transactions and other atypical transactions that require further investigation. Many stock market transactions use ML.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

Smarten

JUNE 25, 2018

Sales team segments that are facing challenges based on any current discounting strategy can be identified and a deal negotiation strategy can be improved and optimized. Business Benefit: The business marketing team can focus on risky customer segments in an efficient way in order to avoid losing those customers.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

APRIL 19, 2024

Benefits include customized and optimized models, data, parameters and tuning. This approach does demand skills, data curation, and significant funding, but it will serve the market for third-party, specialized models. This technology can be a valuable tool to automate functions and to generate ideas.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” You can see a simulation as a temporary, synthetic environment in which to test an idea. And it was good.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

IBM Big Data Hub

APRIL 5, 2024

No single system can manage all the required information views to enable end-to-end optimization. For process safety devices, a safety instrumented system approach determines the test frequency and safety integrity level for alarm functions. The asset management ecosystem The asset management network is complex.

Management 67

Management Risk Optimization Predictive Modeling 67

CIO Business Intelligence

MARCH 5, 2024

CIOs and IT leaders are at the center and must decide what copilots to test, who should receive access, and whether experiments are delivering business value. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.

Cost-Benefit 123

Cost-Benefit Advertising Experimentation Software 123

O'Reilly on Data

SEPTEMBER 15, 2020

Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. Therefore, AI techniques don’t just solve real-world problems out of the box. They don’t automatically generate revenue and growth, maximize ROI, or keep users engaged and loyal.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

Domino Data Lab

NOVEMBER 17, 2020

Predictive models fit to noise approach 100% accuracy. For example, it’s impossible to know if your predictive model is accurate because it is fitting important variables or noise. As we are still left with a Large P Small N problem, direct hypothesis testing is not possible. The 12 are listed in Table 1.

Statistics 131

Statistics Measurement Testing Predictive Modeling 131

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. You can start for free with a superb tool: Google's Website Optimizer. For example I am quite fond of the fact that with Offermatica you can "trigger" tests based on behavior. I cannot recommend enough the wisdom of starting with a A/B test.

Testing 112

Testing Experimentation Risk Optimization 112

Cloudera

SEPTEMBER 7, 2023

Push predictive analytics to optimize operations and enhance profitability. Formalize ethics and bias testing. Develop and implement automated tests to identify biases in AI models, ensuring that models align with ethical standards and fairness criteria. Develop next-gen personalized financial products.

Insurance 78

Insurance Risk Data-driven Finance 78

DataRobot Blog

DECEMBER 1, 2022

As you upload your data, DataRobot will do some initial exploratory data analysis to get a deeper understanding of the dataset prior to model training. Next, choose your target variable—in this instance it is automatically detected as a classification problem and an optimization metric is recommended. Automate Feature Engineering.

Machine Learning 52

Machine Learning Marketing Modeling Statistics 52