The Time-Series ecosystem
Time-series analysis has been studied for more than a hundred years, however, the extraordinary growth of data available from numerous sources and more frequent growth of data…Continue
Some reports estimate that the global mobile wallet market was worth USD 1.04 trillion in 2019 and will reach a whopping 7.5 trillion by 2027. This is…Continue
Added by Monjima Nandi on February 25, 2021 at 1:00am — No Comments
Natural Language Processing Defeats User Trepidation About Augmented Analytics
Your business users probably fight you on improving data literacy and on implementing digital transformation. Many business users have a fear of analytics and envision having to become a business analyst or a data scientist in order to…Continue
Added by Kartik Patel on February 15, 2021 at 3:00am — No Comments
Big data analytics in the healthcare industry today is evolving into a promising field for delivering real-time insights from very large data sets. Plus, it also helps improve outcomes while reducing costs.
The trending digitization is leveraging the potential of data analytics and business intelligence.
According to Industry experts, the AI health market is to…Continue
Added by Tanya Kumari on August 24, 2020 at 2:15am — No Comments
The online food delivery business has taken off in the past few years — that much everyone knows. But do you know why this industry has noticed such rapid growth in demand and popularity? It is because of the utter convenience they deliver. Today’s customers come with high expectations, and this industry seems to have checked all the boxes one needs to; well, save for one. Delivery time — this continues to remain a sore spot for most customers who engage with online food delivery businesses.…Continue
Added by Ryan Williamson on June 19, 2020 at 1:13am — No Comments
We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influences concerning the business, and the former deals with business issues that relate to profit, cost, etc. …Continue
Added by Janardhanan PS on March 2, 2020 at 9:37pm — No Comments
Why do we need Learning Sprints?
Virtually every company is under pressure to transform their business in order to sustain in the future. As part of these efforts, they are hiring data scientists and engineers, data analysts, and they are making huge investments into cloud, big data technologies and AI, amongst others. Virtually all employees need to unlearn what they have assumed to be true for decades, and they have to acquire new skills. Time and money are the big…
Added by Rafael Knuth on February 10, 2020 at 10:00am — No Comments
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