KDnuggets

OCTOBER 24, 2019

In this post, you will see 3 different techniques of how to do Feature Selection to your datasets and how to build an effective predictive model.

Predictive Modeling 119

Predictive Modeling Modeling Machine Learning 119

IBM Big Data Hub

MAY 16, 2023

According to an Everest Group® study , offshore MMS centers increased over 50% from 2019 to 2022. MMS for customer experience includes: User experience strategy Journey mapping Segmentation Predictive modeling Social listening Customer data management 4. What are managed marketing services (MMS)?

Marketing 75

Marketing Management Optimization Cost-Benefit 75

CIO Business Intelligence

JUNE 20, 2022

“We’ve seen a really good improvement in avoiding service requests, call backs, and repeat returns to units,” she says, adding that development on Otis One, which has earned a CIO 100 Award for IT innovation and leadership , started in 2019. Our biggest population is our field technicians so that kind of productivity is critical for us.”.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

Smart Data Collective

APRIL 21, 2022

billion in 2019 and is growing rapidly. Since there is enough historical data, the energy companies can apply analytical and predictive models to calculate power generation rates under certain weather conditions. This is why there is a need for expanding IoT applications in the power sector.

IoT 98

IoT Internet of Things Forecasting Predictive Modeling 98

KDnuggets

AUGUST 22, 2019

We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations. Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property.

Sales 89

Sales Technology Predictive Modeling Optimization 89

Andrew White

MAY 4, 2020

However, the AI, data and analytics of 2020 are a quite different to what was being adopted or sought just 6 months ago in 2019, Somethings in D&A have changed completely; somethings not prioritized before are now required. The models are practically useless. As a result, the guidance for the decisions are useless too.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

KDnuggets

SEPTEMBER 23, 2019

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

Unstructured Data 80

Unstructured Data Predictive Modeling Machine Learning Modeling 80

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 221

Modeling Machine Learning Predictive Modeling Consulting 221

KDnuggets

JULY 29, 2019

This free ebook is a great resource for data science beginners, providing a good introduction into Python, coding with Raspberry Pi, and using Python to building predictive models.

Predictive Modeling 66

Predictive Modeling Data Science Modeling 66

Smart Data Collective

AUGUST 7, 2019

In 2019, big data technology is paramount in business. Creating predictive models. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. Analysis of profitability and customer value.

Data Analytics 98

Data Analytics Analytics Big Data Data Lake 98

BizAcuity

APRIL 25, 2022

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 According to Statista, the global influencer marketing market value has more than doubled since 2019, standing at around 13.8 In studying customer behavior, an AI model is trained to identify the right offer for the right player.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. 2 in frequency in proposal topics; a related term, “models,” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Occam's Razor

JANUARY 7, 2019

To help kick-start your 2019 step change , I’ve written two “Top 10” lists, one for Marketing and one for Analytics – consisting of things I recommend you obsess about. Does swapping out male model posters for cute animals triple sales? Identify four relevant micro-outcomes to focus on in 2019. (In Super cool, super profitable.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. The approach we use is to develop analytical models based on use cases, with a clear definition of business problems and value. I imagine these models have a direct impact on the customer experience.

Uncertainty 96

Uncertainty Manufacturing Data-driven Business Intelligence 96

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. The approach we use is to develop analytical models based on use cases, with a clear definition of business problems and value. I imagine these models have a direct impact on the customer experience.

Uncertainty 96

Uncertainty Manufacturing Data-driven Business Intelligence 96

FineReport

MAY 13, 2020

It also can be used to create a predictive model for various business domains and kinds of models, such as classification, regression, and clustering. . When requiring high customization and sophisticated models, the speed is needed. 1 in China’s BI market share in H1 2019. But KNIME is less flexible and slow. .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. Nor can we learn prediction intervals across a large set of parallel time series, since we are trying to generate intervals for a single global time series.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Insight

FEBRUARY 19, 2020

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie.

Risk 67

Risk ROI Modeling Metrics 67

Smart Data Collective

SEPTEMBER 25, 2019

Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. You can then start to implement more complex analysis such as predictive modeling and continue to move your way up through the ranks. Big data has been billed as being the future of business for quite some time. However, the future is now.

Big Data 79

Big Data Data Science Predictive Modeling Marketing 79

Smarten

JUNE 5, 2019

Smarten, an advanced analytics service provider, has announced that it will act as a Silver Sponsor for the Gartner Data & Analytics Summit 2019, June 10 through June 11 in Mumbai, India where it will demonstrate its Smarten Advanced Analytics solution and its product roadmap for the future of the Smarten Augmented Analytics product suite.

Analytics 40

Analytics Predictive Modeling Data Analytics Data Warehouse 40

Smarten

MAY 10, 2019

Elegant MicroWeb is included in the Gartner Market Guide for Data Preparation Tools, published on April 17, 2019. More information on the data preparation tools market is available in the Gartner report: Market Guide for Data Preparation Tools, Published: 17 April 2019 ID: G00386354, Analyst(s): Ehtisham Zaidi, Sharat Menon.

Marketing 40

Marketing Predictive Modeling Data-driven Visualization 40

Smarten

JANUARY 17, 2020

As one of its Strategic Assumptions, Gartner predicted that ‘By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ Look for Self-Serve Data Preparation , Smart Data Visualization , and Assisted Predictive Modeling.

Analytics 52

Analytics Predictive Modeling Business Analysis Visualization 52

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. Any difference between predicted data and real value is used by the moving average (MA) part.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Depict Data Studio

SEPTEMBER 17, 2019

His experience includes evaluation and outcomes studies, ROI analysis, IBNR determination, predictive modeling, risk adjustment methodologies, advanced data visualization, dashboard design and implementation, database development and management, and identifying and evaluating trends and forces in data. Courses always sell out.

Visualization 40

Visualization Consulting Dashboards Reporting 40

datapine

DECEMBER 4, 2019

The commercial use of predictive analytics is a relatively new thing. The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. It is organized to create a top-down model that is used for analysis and reporting.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52