This article was written by Daniel McAuley.
I recently had the pleasure of speaking on a few panels about analytics to my fellow MBA students and alumni, as well as many Penn undergrads. After these talks, I’ve been asked for my advice on what the best resources are for someone coming from the business world (i.e.,…Continue
Added by Andrea Manero-Bastin on April 25, 2020 at 1:00am — No Comments
This article was written by Tristan Handy.
Over the past nine months I’ve worked with over a dozen venture-funded startups to build out their internal analytics. In doing so, there’s a single SQL function that I have come to use surprisingly often. At first it wasn’t at all clear to me why I would want to use this function, but as time goes on I have found ever more uses for…Continue
As companies increase their investments in artificial intelligence (AI), there is growing pressure on developers and engineers to deploy AI projects more quickly and at greater scale across the enterprise.
Simply evaluating the ever-expanding universe of AI tools and services— often designed for different users and purposes—is a significant challenge in this growing and fast-moving environment.
To address this challenge, we have created the AI…Continue
Added by Assaf Araki on April 24, 2020 at 3:30am — No Comments
What are the best and worst cases where machine learning algorithms can be applied? Can anyone help me in this?
Added by Akshay Gupta on April 24, 2020 at 1:35am — No Comments
Covid-19 has brought misery to the world, many lives have been lost, cities wear a deserted look and economies are on the verge of collapse.…
Added by Ridhima Kumar on April 24, 2020 at 12:43am — No Comments
Let’s start with some simple real-lie examples that we’re sure you all must have experienced.
You watch Netflix and it offers you viewing suggestions.
Twitter shows you relevant tweets on your timelines instead of recent ones.
Quora offers specific answers to all types of questions you…Continue
Added by Tanya Kumari on April 23, 2020 at 10:27pm — No Comments
Highly polemic, contrarian and insightful. It informs, educates and entertains. It incites thought, reflection and reassessment. It’s delightfully seductive, easy to read and hard to put down. And there’s a lot of it. So, you won’t be left…Continue
Here is our selection of featured articles and technical resources posted since Monday:
Added by Vincent Granville on April 23, 2020 at 12:00pm — No Comments
Added by Ramesh on April 23, 2020 at 11:30am — No Comments
Added by Dorian.H Mekni on April 23, 2020 at 1:30am — No Comments
Marketing, at least in the IT sector, has been replaced by memes. Every so often a Gartner slide deck goes viral, and the next thing anyone knows, pithy and mostly meaningless phrases and sayings are driving Fortune 500 strategies. Execs commit to multi-billion-dollar initiatives to make sure that their companies are perceived as being hip or cool (or,…
Summary: COVID-19 and the changes it creates in the business environment for the next 12 to 24 months means our current AI strategies need to thoroughly reviewed and probably retargeted.
Added by William Vorhies on April 21, 2020 at 10:53am — No Comments
Mike Romeri, CEO
As commerce slowly opens up in our world over the next few months, competition for customers will accelerate like never before. It remains to be seen how big the pent-up demand will be for dining out, consuming goods and services, and travel, for…Continue
Added by Betsy on April 21, 2020 at 5:25am — No Comments
We live in a time in which information is the core element of business success for companies in almost any industry. Data is the key to making proper and timely decisions, building winning strategies, data can impact everything from revenue growth to customer…Continue
Added by Roman Chuprina on April 21, 2020 at 1:30am — No Comments
This blog post talks about the concepts of data structures and algorithms and introduces the why of integrating them. A few topics in data engineering will be scanned…Continue
Added by Dorian.H Mekni on April 20, 2020 at 7:30am — No Comments
We must have read tons of literature on developing analytics models and finding information/insights out of data blob. Majorly this activity can run stand alone on your system, without any compulsion to interact with other machine. But, as the businesses are facing ever rising competition, the surmounting cost of maintaining engagement and the negative slope of realized profits, productization is not any buzz-word which is yet to see the light of day. It is happening and it is here to stay.…Continue
Added by saurabh ajmera on April 20, 2020 at 7:00am — No Comments
Data Scientists worldwide are forecasting about COVID
Mostly, they are doing excellent work.
But still, most forecasts vary widely
That’s not to say that they are inaccurate
There are a few inherent reasons for this
Firstly, the lack of domain knowledge in epidemiology and biostatistics. Most data scientists lack…Continue
Added by Vincent Granville on April 19, 2020 at 2:00pm — No Comments
Many data scientists and epidemiologists have developed various models and predictions, mostly alarming ones. Here I discuss issues that make most of these analyses meaningless, and how to fix these problems. Sadly, these are mistakes that even expert statisticians make in a variety of contexts, especially when dealing with a tiny sample that behaves radically differently from the whole population. You don't see what is not in the data, you only see what's in it, and you must think…Continue
Martin Hughes, MBA Director for J.E. Cairnes School of Business & Economics at the National University of Ireland Galway, recently asked me to present to his MBA class on Team Empowerment. I was excited for two reasons:
Added by Bill Schmarzo on April 19, 2020 at 10:30am — No Comments