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All Blog Posts Tagged 'Predictive' (48)

How Do I Prove The Value Of Self-Serve Augmented Data Discovery?

How does one measure the effectiveness of a new Augmented Data Discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation.

Without measurable results, it…

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Added by Kartik Patel on July 31, 2019 at 4:20am — No Comments

What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles)

Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.

In this, the last article in our three-article series we discuss Natural Language Processing and…

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Added by Kartik Patel on June 24, 2019 at 8:30pm — No Comments

What Are the Necessary Components of an Advanced Analytics Solution?

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ensure that every team member is a real asset to the organization and can contribute their knowledge and skill with full Insight into the effects and outcome of activities and processes and the ability to correct the course and make recommendations using clear, concise information. Advanced analytics is the…

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Added by Kartik Patel on April 2, 2019 at 1:52am — No Comments

What is Automated Machine Learning (AutoML)?

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

With the right tools, today’s average business user can become a Citizen Data Scientist, using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as…

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Added by Kartik Patel on March 13, 2019 at 3:00am — 3 Comments

Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction.

In some businesses, Data Scientists, professional analysts and IT staff are often buried under requests for analysis and data and, as a result, these teams are unable to focus on strategic issues and on crucial questions that require 100%…

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Added by Kartik Patel on March 12, 2019 at 2:00am — No Comments

Demystifying Black-Box Models with SHAP Value Analysis

As an Applied Data Scientist at Civis, I implemented the latest data science research to solve real-world problems. We recently worked with a global tool manufacturing company to reduce churn among their most loyal customers. A newly proposed tool, called SHAP (SHapley Additive ex…

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Added by Civis Analytics on May 15, 2018 at 9:00am — No Comments

Data Science meets System Dynamics

Developed at MIT’s Sloan School of Management in 1950s system dynamics is a methodological approach to model the behavior of complex systems, where change in one component leads to change in others (like the dominos effect with feedback loops added). This approach is widely applied in industries such as healthcare, disease research, public transportation, business management and revenue forecasting. The most famous application of system dynamics probably is in…

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Added by Mab Alam on April 23, 2018 at 5:30pm — No Comments

Credit Risk Prediction Using Artificial Neural Network Algorithm

1 Introduction

Credit risk or credit default indicates the probability of non-repayment of bank financial services that have been given to the customers. Credit risk has always been an extensively studied area in bank lending decisions. Credit risk plays a crucial role for banks and financial institutions, especially for commercial banks and it is always difficult to interpret and manage. Due to the advancements in technology, banks have managed to reduce the costs, in order to…

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Added by Shruti Goyal on March 14, 2018 at 11:30am — 5 Comments

Data Science Best Practices

 

Contents

1. Introduction

2. The Four Pillars of Success        in Analytics

3. Analytics…

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Added by Khosrow Hassibi on November 20, 2017 at 8:30am — No Comments

Artificial Intelligence is not “Fake” Intelligence

Quick quiz!

What’s the first thing that comes to mind when you hear the following phrases?

  • Artificial grass
  • Artificial sweeteners
  • Artificial flavors
  • Artificial plants
  • Artificial flowers
  • Artificial diamonds and jewelry
  • Artificial (fake) news

These phrases probably evoke thoughts such as “fake,” “not real,” or even “shabby.” Artificial is such a harsh adjective.…

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Added by Bill Schmarzo on October 30, 2017 at 6:30pm — No Comments

Power Up Your Predictions with Plug n' Play Predictive Analysis

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business…

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Added by Arbuda Dave on May 24, 2017 at 2:30am — No Comments

Useful R Packages that Aligns with The CRISP DM Methodology

As we all know CRISP DM stands for Cross Industry Standard Process for Data Mining is a process model that outlines the most common approach to tackle data driven problems. Per the poll conducted by KDNuggets in 2014 this was and “is” one of the most popular and widest used methodology. This method of gleaning insights out of the data is very dear to the industry experts and data miners.

As the title suggest I will align some of the most useful R packages with this most popular and…

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Added by Sunil Kappal on February 6, 2017 at 8:00am — 1 Comment

Data Devils Snapping At Your Heals

Ever wonder how you can create meaningful insights with your data? Tired of being asked what's your big data strategy, are you doing predictive analytics, or how you are making use of the latest technologies? There is a way for you to get what you need with Data Science. The key to new knowledge is to make sure you use Data Science in your organization.…

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Added by Damian Mingle on January 4, 2017 at 5:30am — No Comments

4 Ways to Leverage Artificial Intelligence in Your Small Business Today

If you haven’t started using artificial intelligence in your business, you’re falling behind on the curve. Many business owners today are leveraging AI, whether they are aware of it or not. This is done through everyday business software suites that integrate machine learning and automation to carry out such functions as email communications, voice recognition and response and predictive analysis.

The extent to which businesses employ AI solutions needs to be increased if they are to…

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Added by Derek Iwasiuk on January 2, 2017 at 2:00am — No Comments

Naive Bayes Process At a Glance

Added by Sunil Kappal on December 27, 2016 at 7:00am — No Comments

Creating Edge Intelligence for the Industrial Internet of Things (IIoT)

This article is about how to use a standards-based approach to deploy analytics on the edge of Industrial Internet of Things (IIoT) networks.

IIoT is here today. Wherever you look in aerospace, defense, energy production and/or transport, healthcare, manufacturing, mining, materials or smart cities the proliferation of…

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Added by Mark Rabkin on September 13, 2016 at 1:00pm — No Comments

Beware: Employers Mine Your Personal Data to Predict Health

Watch out folks - there is a new breed of health analytics firms sprouting like weeds - mining "big data" about you and making broad and bold predictions about your state of health to make workplace decisions.

 …

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Added by Michael Walker on February 18, 2016 at 12:34am — No Comments

Prediction – the other dismal science?

An insightful person once said, “Prediction is like driving your car forward by looking only at the rearview mirror!”. If the road is dead-straight, you are good . . . UNLESS there is a stalled vehicle ahead in the middle of the road.

We should consider short-term and long-term prediction separately. Long-term prediction is nearly a lost cause. In the 80’s and 90’s, chaos and complexity theorists showed us that things can spin out of control even when we have perfect…

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Added by PG Madhavan on January 26, 2016 at 2:08pm — No Comments

The Role of Big Data Analytics in the Petabyte Age

The data flood that you are witnessing every minute is trying to tell you hidden secrets about your business growth, are you listening? In the previous years, we may have taken a glass half empty perspective for the analytics sector but this definitely is about to change now.  Big data analytics  is indeed one of the fastest growing markets and is expected to mature in 2016 and…

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Added by Aureus Analytics on December 3, 2015 at 9:30pm — No Comments

Building A Predictive Model

“Predictive analytics” is a commonly used term today. Wikipedia describes it as ‘encompassing a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical…

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Added by Aureus Analytics on November 21, 2015 at 12:30am — No Comments

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