Blogs

AI Accelerators for a Better Electric Vehicle Usage Experience

Mar 5, 2021 7:29:09 AM / by Maria Singson, PhD posted in Data Science

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Electric Vehicle Usage Experience

Let’s not get stranded!

In today’s rapidly expanding Electric Vehicle (EV) market, an EV charging company wanted to capture a more significant market share. With recent studies predicting a 10% uptick in EV sales by 2025, rising to 58% in 2040, it’s no wonder that EV charging stations are focused on their strategy now. As the world “goes green”, electric vehicle companies are hard at work besting each other on improved battery life. This is because conversion rates for first-time EV buyers depends so much on alleviation of buyers’ range anxiety - that feeling of being caught short on dead batteries miles from a charging point. This made it imperative for EV charging companies to figure out EV charging stations' best placements in popular driving destinations and routes.

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Master Data Management (MDM) – The Second Wave

Dec 4, 2020 2:56:57 AM / by Kelvin Looi posted in Data Management

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Master Data Management

The first wave of Master Data Management (MDM) started in the early 2000s. Early adopters from a few industries which included Banking, Insurance, CPG, and Retail started implementing MDM for customers, products, and a few other master data domains. Over time, MDM became mainstream as companies from all industries realized the need for MDM as part of their data strategy to resolve data inconsistencies across multiple systems and establish a single version of the truth. Over the years, there have been many successes but plenty of big data failures as well, due to the lack of skills and a proper understanding and positioning of MDM solution versus other systems.

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Smart Ingestion: Using ontology-driven AI

Oct 12, 2020 9:47:19 AM / by Prad Upadrashta posted in Data Science, Intelligence

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Smart Ingestion: Using ontology-driven AI

Our clients frequently complain that their understanding of their business is hampered by the fact that much of their vital data resides as ‘dark data’ in silos that don’t reside on traditional IT infrastructure (system data).

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Knowledge Graphs for Fraud Detection - Use Case

Sep 4, 2020 5:14:40 AM / by Deepti Soni posted in Data Science, Intelligence

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AI for Fraud Detection-Use Case

Financial frauds are expensive, not just in terms of the money involved, but also for poor customer experience and loss of customer trust. There are many types of financial frauds, such as credit card frauds, e-commerce frauds, insurance frauds, to name a few.

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There's more to Data Quality than meets the eye

Aug 25, 2020 1:45:07 PM / by Nicoletta Camodeca posted in Data Management

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There is more to Data Quality

Data is generally considered high quality if it is "fit for its intended uses in operations, decision making, and planning" [1].

In the last 50 years, the shift from an industrial economy to an information economy has caused data to become increasingly important. This has highlighted the costly impact that poor quality data can have on a company's financial resources [2]. Poor data quality contaminates the data in downstream systems and information assets, which increases costs throughout the enterprise. Moreover, customers' relationships deteriorate as a function of poor quality data leading to inaccurate forecasts and poor decision making. Recently, Harvard Business Review reported that out of 75 companies sampled, only 3% had high-quality data.

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Enterprise Intelligence Hub: A new impetus in your Data Strategy 

Jul 2, 2020 4:24:02 AM / by Kelvin Looi posted in Intelligence

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Conquering the Future with Data and AI-driven Enterprise Intelligence

The Covid-19 pandemic has taught us all valuable lessons on a personal, societal, and global level. Over these past few months, I've done some self-reflecting of my own, but I also wanted to reflect on what Covid-19 will mean for businesses and IT, especially enterprise intelligence, the learning at speed.

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Enterprise Data Bus – What? How? And Why?

Jun 5, 2020 8:10:47 AM / by Jim Strickland posted in Data Engineering

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Enterprise-Data-Bus-blog

What is an Enterprise Data Bus (EDB)? An EDB is a collection of data management and analysis tools that are installed and orchestrated so that the corpus of enterprise data is made available for analysis, and business value creation. An EDB is the analytics node of the data fabric. It can be used as an integration hub and connector layer of the data fabric. An EDB embraces the DataOps concept by allowing an agile method for automation and orchestration of the enterprise’s data journey, followed by Data from creation to its eventual use for deep analytics, data science, and automated business decisions.

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Telling Stories in Data Science

May 20, 2020 10:14:49 AM / by Prad Upadrashta posted in Data Science, Intelligence

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data_science_story

Communication is a key skill in any field. Without communication, we would be hard-pressed to drive change in an organization. We need to communicate ideas well to ensure that the people that help us do what we do, can help us do what we do. One of the key functions of any data scientist is to encourage data-driven change to effect some positive collective outcomes (increasing revenues, reducing costs, improving resiliency). If you can’t communicate the work you’ve done in a concise, meaningful, contextualized way,…you may fail in making your work actionable. The right people responsible for driving change won’t get to onboard your train, and your data science will go nowhere. No person is an island. We need the help of thousands of people to do what we do effectively, and to do that, communication is an absolute key.

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The Cowboy Problem: How not to get shot - Part 2

Apr 30, 2020 2:55:00 AM / by Prad Upadrashta posted in Data Science

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The Cowboy  Problem Part 2

“I cannot live without brain-work. What else is there to live for?” – Sherlock Holmes

I saw this challenge (minus the solution) being passed around in a WhatsApp message, and after solving it, it struck me as a fantastic way to illustrate the difference between data, information, knowledge, and insights, under the pretext of not getting shot.


Let’s get started, shall we?

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The Cowboy Problem: How not to get shot - Part 1

Apr 30, 2020 2:54:44 AM / by Prad Upadrashta posted in Data Science

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The Cowboy  Problem Part 1

“My name is Sherlock Holmes. It is my business to know what other people don’t know.” – Sherlock Holmes

Many people think that Data Science looks like this:

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