I was formally (1998-2016) a Senior Research Fellow in the Institute of Educational Technology (IET) at the Open University (OU) in the UK. It was in that context that I first started thinking about the potential of Learning Analytics in my field which is Accessibility of eLearning and Disabled Student Support. Looking back through my work-related blog (…Continue
Added by Martyn Cooper on November 24, 2019 at 4:30pm — No Comments
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…Continue
Added by Kartik Patel on July 31, 2019 at 4:20am — No Comments
Added by Stephanie Shen on July 28, 2019 at 3:30pm — No Comments
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…Continue
Added by Kartik Patel on June 24, 2019 at 8:30pm — No Comments
The successful implementation of an augmented analytics solution for business users is not just about choosing a cost-effective tool and completing a timely deployment, nor does the process stop with training. In order to get business users to embrace and adopt self-serve augmented data discovery tools, the enterprise must approach the implementation with appropriate change management processes.
If you want a business user or a team to align with the Citizen Data…Continue
Added by Kartik Patel on May 21, 2019 at 1:30am — No Comments
When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence
Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…Continue
Added by Mahesh Kumar CV on May 5, 2019 at 1:00am — No Comments
AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics
Let us see how...
Different approaches in Data Science and analytics have been originated in the field of statistics.
AI has emerged on the other hand out of computer science as a practice and science of studying "intelligent agents".
The way is to treat AI as extending conventional analytics with a…Continue
Added by Mahesh Kumar CV on May 4, 2019 at 9:28am — No Comments
The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.
What is Augmented…Continue
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…Continue
Added by Kartik Patel on April 2, 2019 at 1:52am — No Comments
Price errors and their impact:
Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late. Such revenue…
Added by Avinash Udaykumar on March 26, 2019 at 7:57pm — No Comments
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…Continue
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%…Continue
Added by Kartik Patel on March 12, 2019 at 2:00am — No Comments
If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Science, the average business user can engage with advanced analytics tools that allow for automated machine learning (AutoML) and leverage sophisticated analytical techniques and algorithms in a guided environment that uses auto-recommendations and suggestions to lead users through the complex world of data…Continue
Added by Kartik Patel on March 11, 2019 at 12:52am — No Comments
Which company would not like to get significantly improved insights into the market with detailed data and thus optimize its products and services? In most cases, the corresponding data is already available, but its use is often restricted for data protection reasons.
This article first appeared on the Aircloak Blog - feel free to pay us a visit!…Continue
Added by Nicolas Sartor on February 21, 2019 at 1:00am — No Comments
This article is about Intuitive explanation of Degrees of Freedom and How Degrees of Freedom affects Sudoku.
A lot of aspiring Data Scientists take courses on statistics and get befuddled with the concept of Degrees of Freedom. Some memorize it by rote as ‘n-1'.
But there is a intuitive reason why it is ‘n-1’.…Continue
Added by Pedro URIA RECIO on December 27, 2018 at 7:00am — No Comments
What does the customer want? And why do they want it?
These are the age old questions that marketers have tried answering to improve their business impact. Customer knowledge is, without doubt, the foundation of marketing success.…Continue
Added by Sudhanshu Ahuja on December 18, 2018 at 5:38pm — No Comments
Electronic spreadsheets have been around for nearly 40 years now. They were invented by Bob Frankston and Dan Bricklin, founders of VisiCalc, and I had a chance to chat with both gentlemen a couple of months ago. I highly recommend watching this TED talk with Dan Bricklin:
It's important to understand for…Continue
Added by Rafael Knuth on December 13, 2018 at 2:30am — No Comments
My writing engagement at Data Science Central came up unexpectedly. Back in August 2018, I stumbled upon an excellent write-up on Data Science Central. The author, Bill Vorhies, shared his thoughts on career transitioning toward data science. I wrote him an email, complimenting him on his blog post, and I dropped a few lines about my own transition. Here's his response:
"Congratulations on your remarkable journey. Perhaps you’d like to write one or more articles…Continue