DataRobot

MARCH 2, 2021

In 2019, we launched our AI for Good program to offer the same cutting-edge tools to nonprofits to help them solve the world’s toughest problems. With DataRobot, you can build dozens of predictive models with the push of a button and easily deploy them.

Predictive Modeling 98

Predictive Modeling Risk Consulting Dashboards 98

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 121

Predictive Modeling Modeling Machine Learning 121

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 106

Internet of Things IoT Manufacturing Data Lake 106

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 91

Sales Technology Predictive Modeling Optimization 91

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 82

Unstructured Data Predictive Modeling Machine Learning Modeling 82

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 100

Data Analytics Analytics Big Data Data Lake 100

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 69

Predictive Modeling Data Science Modeling 69

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. Demand from all these organizations lead to yet more data and analytics.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

O'Reilly on Data

DECEMBER 12, 2019

If a model is going to be used on all kinds of people, it’s best to ensure the training data has a representative distribution of all kinds of people as well. Interpretable ML models and explainable ML. The debugging techniques we propose should work on almost any kind of ML-based predictive model.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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 It also brought to the fore, the debate around online betting and games of chance. billion U.S.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

O'Reilly on Data

MARCH 20, 2019

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

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. 221) to 2019 (No. As of Strata NY 2019, it sits at 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. Identify four relevant micro-outcomes to focus on in 2019. (In There is too much goodness in modeling that you are not taking advantage of.

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 pandemic falls into the macro-level because we really can’t predict those kinds of events. Using the mode, we can predict with a high degree of accuracy whether the part will arrive late or not.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

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 pandemic falls into the macro-level because we really can’t predict those kinds of events. Using the mode, we can predict with a high degree of accuracy whether the part will arrive late or not.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

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. You might also be interested in….

OLAP 105

OLAP KPI Data mining Business Intelligence 105

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 80

Big Data Data Science Predictive Modeling Marketing 80

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

For example, proposed forecasts may come from customers, if their forecasts are based on forward-looking information about product and technology plans that would be difficult for the data scientist to extract as inputs into a predictive model. International Journal of Forecasting (2019), [link]. [2] Accessed on 2019-08-01. [4]

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

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. The rise of self-service analytics democratized the data product chain.

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

Moreover, as most predictive analytics capabilities available today are in their infancy — they have simply not been used for long enough by enough companies on enough sources of data – so the material to build predictive models on was quite scarce. Last but not least, there is the human factor again. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Jet Global

MAY 1, 2023

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52