Wait, the AI advantage is already here and gone?
That’s what Deloitte warns in their report “Future in the balance? How countries are pursuing an AI advantage”.A noteworthy quote:
“There are indications that the window for competitive differentiation with AI is rapidly closing. As AI technologies become easier to consume and get embedded in…Continue
Added by Bill Schmarzo on June 25, 2019 at 4:02am — No Comments
The sports digital transformation is upon us, and the world of sports is about to be disrupted through the technology at play. In the words of the most decorated Olympian to step on the podium:
“You can’t put a limit on anything. The more you…Continue
Added by Ronald van Loon on June 25, 2019 at 5:02pm — No Comments
The “new square method” is an improved approach based on the “least square method”. It calculates not only the constants and coefficients but also the variables’ power values in a model in the course of data regression calculations, thus bringing about a simpler and more accurate calculation for non-linear data regression processes.
In non-linear data regression calculations, the “least square…Continue
Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.
1. Common Assumption: People skills are just "fluffy" soft skills
Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's…
Added by Rafael Knuth on June 26, 2019 at 4:30am — No Comments
Our model for recognizing specific animals in images is a neural network consisting of multiple layers, and the initial layers are already good at understanding the world in general. So instead of “re-inventing the wheel,” we only need to train the final layers.
I was excited to work on a recent project with one of our partners, Wild Detect, because it aligns with one of our goals at Appsilon — to use data science consulting to aid in the…Continue
Added by Michał Frącek on June 25, 2019 at 1:13am — No Comments
In this digital age, the threats against an organization’s data are massive and the consequences of a breach are extremely devastating for a business. So it has become important to consider various factors when it comes to secure databases.
Our world is on a huge risk of data theft and a few months ago, Facebook data breach news proved this.…Continue
Added by Chirag Thumar on June 25, 2019 at 8:30pm — No Comments
With every article, we keep proving that data science has found broad application in numerous business areas. Now, the turn came to the construction industry as well. The world is overloaded with data. It results in a steady improvement in…Continue
Added by Igor Bobriakov on June 25, 2019 at 2:33am — 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
Nowadays, lot's of discussion is happening around the question of what artificial intelligence can and can't do. Even though artificial intelligence has a controversial status, this technology already has some real-life business applications and delivers proven results.
Building a meaningful interaction with…Continue
Added by Olha Zhydik on June 25, 2019 at 5:00am — No Comments
Before we dive deep into the topic let's ask a few questions to yourself and start diving into it as deep as you want to…!!!
Coming to the…Continue
Added by Kranthikiran Diddi on June 25, 2019 at 8:45am — No Comments
I recently downloaded a 5 year Public Use Microsample (PUMS) from the latest release of the American Community Survey (ACS) census data. The data contain a wealth of demographic information on both American households and…Continue
Added by steve miller on June 24, 2019 at 12:42pm — No Comments
Summary: Business doesn’t want AI. Business wants results. While we were focused inward on our Advanced Analytic Platforms, smart competitors were rolling up AI/ML with other capabilities into “Intelligent Automation” platforms. This large scale integration of capabilities of which AI/ML is only a part looks a lot like the development of ERPs in the late 90s.
Added by William Vorhies on June 24, 2019 at 8:23am — No Comments
The Catch 22 problem holding back AI application adoption ...
Last week, there was an interesting report in the MIT technology review that Artificial Intelligence can help construction industry to help see…
Added by ajit jaokar on June 24, 2019 at 12:30am — No Comments
This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data scientists, biologists, and quants, ranging from beginners to executives. In about 300 pages and 28 chapters it covers many new topics, offering a fresh perspective on the subject, including rules of thumb and recipes that are easy to automate or integrate in black-box systems, as well as new…Continue
Added by Vincent Granville on June 23, 2019 at 1:00pm — No Comments
Added by Vincent Granville on June 23, 2019 at 6:00pm — No Comments
I am delighted to present my new blog - AI Business Transformation Playbook for Executives. originally posted here. I get into the nuts-and-bolts of AI Systems Solutioning in this rather lengthy blog but the “First Ten Plays” at the end summarizes the key steps. I look forward to your thoughts and…Continue
Added by PG Madhavan on June 21, 2019 at 2:30pm — No Comments
Added by Stephanie Shen on June 23, 2019 at 7:30am — No Comments
Our client was a pioneering company in producing and delivering Roof Shingles. Their main plant in Minnesota and they have around 25 more plants across US. Client implemented 100’s of sensors along the assembly line that are streaming nano-second data to their Spark Data-lake.
Viscosity of input fluid is an important factor to maintain quality of production of roof shingles. Data shows there are unwanted peaks (outliers) in viscosity data which client wanted to eliminate. Following…Continue
Added by Dr. Moloy De on June 21, 2019 at 3:10am — No Comments
In the beauty industry, chatbots are seen to solve much more than tangible problems. During the initial phase, its usage was straightforward and cautious - Personalized communication, 24/7 availability, product inquiry, and reaching the target audience.
But as the beauty world is much more personalized than any other industry, the big brands started leveraging chatbot in a lot more personal aspects.
Added by Amit Dua on June 20, 2019 at 1:30am — No Comments
In an earlier description of clustering algorithms we described an algorithm by which locally optimum partitions and center of gravity of multi-dimensional vectors/points may be obtained. If only one or two dimensional data are considered the optimum partitioning to obtain the so-called Voronoi regions are known. For one-dimension it is the interval while for two-dimensions it is hexagon (think of honey-bee nests or cellular…Continue
Added by Faramarz Azadegan on June 19, 2019 at 9:35am — No Comments