In a meeting with engineering leadership, I was told, "We'll tack on the AI later."
While doing ethnographic testing with a β customer, I was asked if the AI would just learn and then do everything perfectly.
Rapid urbanization and a splendid luxurious lifestyle have attracted people towards cities. As per a United Nations report, around 66 percent of the world’s population is expected to live in cities by the end of 2050. This means that more than 5 billion people will densely live on 3% of the total Earth’s landmass!
Without a doubt, it can be…Continue
Added by Sanjeev Verma on January 26, 2020 at 9:59pm — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link. …Continue
Added by Vincent Granville on January 26, 2020 at 6:00pm — No Comments
I often use this quote from Isaac Newton in my teaching.
AI is a vast and a complex subject. No matter how much you know - you realise that there is really a vast amount more to learn. So, my way of learning a subject as complex and dynamic as AI, is to share my insights. This helps me to refine my own thinking.
I also follow…Continue
Added by ajit jaokar on January 26, 2020 at 12:30pm — No Comments
I am always looking for examples to bolster my University of San Francisco “Economic Value of Data” research efforts, and I think I’ve found a good one. The NHO article “Is value creation with data something Norway can live off of?” states that Norway believes that 1) the financial or economic value that Norway will be able to extract from data is on a par with the oil, while 2) the value of data is even more important than oil when considering the broader society…Continue
Added by Bill Schmarzo on January 26, 2020 at 5:00am — No Comments
There are many ways to deal with time-data. Sometimes one can use it as time-series to take possible trends into account. Sometimes this is not possible because time can not be arranged in a sequence. For example, if there are just weekdays (1 to 7) in a dataset over several month. In this case one could use one-hot-encoding. However, considering minutes or seconds of a day one-hot-encoding might lead to high complexity. Another approach is to make time cyclical. This approach leads to a…Continue
Added by Frank Raulf on January 26, 2020 at 4:00am — No Comments
In part 1 of this article series, I provided a quick primer on graph data structure, acknowledged that there are several graph based algorithms with the notable ones being the shortest path/distance algorithms and finally illustrated Dijkstra’s and Bellman-Ford algorithms. Continuing with the shortest path/distance algorithms, I have illustrated Floyd-Warshall and A* (A-Star) algorithms in this part 2 of the article. As was stated in part 1, while the inner workings of these algorithms are…Continue
Added by Murali Kashaboina on January 25, 2020 at 2:29am — No Comments
We can have an intuition of which professions will be more in demand in the future, according to new trends and social changes. It is clear that, as many large organizations mention, everything related to data science and artificial intelligence will be one of the most demanding professions in the future. But can we imagine what the new professions that will emerge around this discipline will be in the future?
21 Jobs: The Road to 2028…Continue
Added by Noelia Gonzalez Rodriguez on January 25, 2020 at 12:30am — No Comments
Data Compliance: An Integral part of Business Analytics
Prashanth Southekal and Santhosh Raju
“It takes 20 years to build a reputation and 5 minutes to ruin it. If you think about that, you will do things differently”
Added by Prashanth Southekal, PhD on January 24, 2020 at 12:30pm — No Comments
All machine intelligence is powered by data. This isn't ground-breaking, or even news – we've known about data's value for decades now. However, not all data are created equal, and we'll be looking at executing machine learning products from a standpoint that prioritizes the quality of the data streaming into them.
Machine Learning (ML) is a specific subset of…
Added by Maha Islomova on January 24, 2020 at 7:30am — No Comments
Since its advent in 1991, Python has been the choice of coders due to its simple features that include ease of understanding and readability of code but not limited to just that. There have been lots of changes in the codebase over time due to the contribution from developers worldwide. Simple syntax and faster execution make Python a favorable language among programmers. It is used widely to create websites and primarily in big data operations. To make the task of running…Continue
Added by Digital Defynd on January 24, 2020 at 2:30am — No Comments
There is no doubt that Google is an absolute giant in the IT world. It creates various software tools for almost any imaginable area of activity existing today. Whatever you could want, Google, probably, has a solution. Either it is a smart voice helper or an…Continue
Added by Igor Bobriakov on January 23, 2020 at 11:30pm — No Comments
Added by Siddhaling Urolagin on January 23, 2020 at 9:30pm — No Comments
Sometimes it just takes a simple, provocative statement to kick-off the innovation process – to remove an everyday given like driving a car or possessing a landline phone or centralizing all of your data in the cloud – to fuel the innovation process. Henrik Christensen, director of University San Diego's Contractual Robotics Institute, issued such a provocative statement:
“My own prediction is that kids born today will never get to drive a car.”
I have recently been…Continue
Added by Bill Schmarzo on January 23, 2020 at 1:30pm — No Comments
Added by Mark Cramer on January 23, 2020 at 12:30pm — No Comments
Abhijeet, the HR head has deployed artificial intelligence in his organization with the objective of taking care of his employees and to stay ahead of the competition. He has a vision in improving overall efficiency of the organization that leads to employee productive growth. He also wants the AI to help him get minute details of HR processes that…Continue
Added by Sukumar Jena on January 23, 2020 at 12:00pm — No Comments
Here is our selection of featured articles and technical resources posted since Monday:
Added by Vincent Granville on January 22, 2020 at 9:30pm — No Comments
The role of data is changing significantly with advanced methodologies used for upgrading sales and integrating business intelligence in the organisational schema for better outcomes. But in the absence of proper tools and techniques to manage and organise such a large pool of data, results might appear too far-fetched. So, what is the way out to handle bundles of unstructured data and harness its true potential for catalysing the growth? Data warehousing is the solution that…Continue
Added by PS Dhillon on January 21, 2020 at 10:30pm — No Comments
Added by Sandeepkumar on January 21, 2020 at 1:00pm — No Comments
It is sometimes said that you don't need to know math to be a data scientist. Sometimes the opposite is said, after all, data science is supposed to be a science! Regardless, below are a few of my articles featuring how data science and math can benefit from each other - not just math to solve data science problems, but also data science to solve math problems.
Kubernetes is a technology that allows us to isolate an application. That is good but how can we scale this? Of course, we should create new containers.
But, how many containers should we have at the same time? How many…Continue
Added by Igor Bobriakov on January 21, 2020 at 7:30am — No Comments