Human-centric creative problem-solving.

An IBM approach to applying the core concepts of design thinking at speed and scale to modernize and optimize current enterprise demands. The idea of Enterprise Design Thinking revolves around — teams not just forming an intent but, also delivering fat, creative outcomes.

“Outcomes that advance the state of the art and improve the lives of the people organizations serve”

The concept of Enterprise Design Thinking revolves around — empathy, restless reinvention, prototyping, and, ideation. …

Design Thinking …. Surely not exclusive to designers rather — all leading innovators, people with an visualising, creative mind in literature, art, music, science, engineering, and business practice it.

So, what is design thinking and why is it adopted by the world’s most leading innovative brands? Design thinking; is a problem solving approach which aims to improve the ‘lived’ experiences of people. It is an approach of solving problems, innovating while having an human-centric approach rather than, just focusing on technical aspects of things.

The key goal of design thinking is to drive business value by supporting users achieve their…

Embedding analytics solution at any stage involves a plethora of considerations and the answer is rarely straightforward. More often than not, most organizations don’t settle at either or. It’s mostly a combination of several different factors and priorities.

Recently while researching about developing Tableau Dashboards I came across criteria that analytics teams can take in consideration while making a decision of embedding Business Intelligence.

Providing visuals that drive analytical value:
Imagine you are in 2005; the time when data wasn’t as prevalent as it is today. Now imagine the only visual of that data is thousands of lines carrying numbers in…

If data is the gas in a car, then, analytics is the car itself.

Currently, there are a few trends and topics in tech without which the talk around technology and innovation is incomplete — analytics, artificial intelligence, blockchain to name a few. Augmented analytics is an extension of analytics that focuses on three main areas — Machine Learning, Natural language generation (NLP) and, Insight automation. …

Conversational AI: Code/No CodeChatbots are programmed to simulate human conversation and exhibit intelligent behavior that is equivalent to that of a human.
Mary Beth Moore | AI and Language Analytics Strategist |SAS

Introduction: Chatbots/talkbots/virtual assistants are a form of conversational AI, that is designed to simplify human interaction with a machine (computers, phones, tablets, etc.) Through the use of chatbots, a machine can recognize, understand and respond to human inputs through spoken or written language. The very first chatbot was developed at MIT (Massachusetts Institute of Technology) in 1966. The chatbot was called ELIZA. …


Summarizing my speech at WomenTech Network 2020 on “how can get started with Data Science — sharing some tips and sources and, my journey from being a humanities student to getting a Master’s in Data Analytics.

By definition, Data is information in raw or unorganized form (such as alphabets, numbers, or symbols). It is a set of quantitative or qualitative variables. If it’s just quantitative and qualitative information then, why is data considered so important today? Why is data considered “the oil of the 21st century?”

Data in essence is just “information: numbers, words or symbols”. What makes it so essential in today’s era is, it’s power to give insightful results, reports, analytical results, etc. that acts as (if not sole) one of the most essential decision drivers in most business today. Data have enabled organizations…

Every business is an analytics business. Likewise, every individual is an analyst, to some extent. Every process in business or in every-day-life is an analytical process ripe for improvement. And no matter what you plan to accomplish, the very first step, more often than not is gathering the facts and information —data. Once you retain that, you can analyze the data and move towards your end goal. Thus, I would say “data” is a basic building block, an imperative that acts as a facilitator between us and our end goal.

How is data used in everyday life, though? How and…

Simran Yadav

Data Analytics and Technology Consulting — Ernst & Young | Master’s in Data Analytics | WomenTech Awards recipient | Medium: AI & Data

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