Artificial Intelligence is already impacting Manufacturing, Retail, Marketing, Healthcare, Food industries and more. Today we will take an in-depth look at another industry, that with proper AI expertise from development companies could be disrupted.
Transportation is an industry that helps humanity with moving people their belongings from one location to the other. While doing that, this industry had experienced countless twists, turns, breakthroughs, and setbacks to get to the…Continue
Added by Roman Chuprina on January 17, 2020 at 3:30am — No Comments
Models are simplification or approximation of reality and hence they will not capture all of reality. “All models are wrong, but some are useful” is a famous quote by George Edward Pelham Box (1919–2013). George Box was a British mathematician and professor of statistics at the University of Wisconsin. Statisticians develop theoretical models to predict the behaviour of certain process. The meaning of this quote is that every single model will be wrong and it never represents the exact…Continue
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
In the previous post, ten strategies to implement ai on the cloud and edge, I discussed strategies for end to end deployment for machine learning modules.
How this relates to Agile?
Deployment of AI comes within the scope the normal SDLC (software development lifecycle)
So, normal Agile techniques like scrum, sprints, backlog…Continue
Added by ajit jaokar on January 20, 2020 at 1:06pm — No Comments
Summary: Just how much should you trust your AI systems? Best practice points to constant review, strong governance, and the willingness to override results that seem illogical.
Added by William Vorhies on January 20, 2020 at 8:26am — 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.
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 19, 2020 at 4:30pm — No Comments
Imagine this scenario:
You enter your dentist’s office as a follow-up visit to the 6-month checkup you had last week. You’re nervous because the checkup revealed bleeding in your gums and cracks in your fillings, all things that require your dentist’s repair on this occasion.
So, you’re there nervously fidgeting in the lobby waiting for your name to be called, envisioning all sorts of dentistry implements of torture that will soon be…Continue
Added by Bill Schmarzo on January 17, 2020 at 12:30pm — No Comments
Quantum computers come in 2 varieties, quantum annealers and quantum gate models. So far, DWave is the only company selling quantum annealers.
A third type of device is now available from Fujitsu. Fujitsu calls its device a "quantum inspired digital annealer". The Fujitsu device does not have any quantum correlation (quantum entanglement)…Continue
Added by Robert R. Tucci on January 16, 2020 at 1:30pm — No Comments
Machine Learning is a term heard around the world these days. Industries like Retail, Healthcare, and Manufacturing are taking the best out of it. So does the leaders in Banking and Finance. There is enough time and room before the technology will truly explode. However, we can still talk about some real-world use cases and ways your business can…Continue
Added by Roman Chuprina on January 14, 2020 at 5:00am — No Comments
Having spent the better part of the last decade helping organisations in the U.S. and the U.K. use data to drive profit, efficiency, and performance improvements, I thought it would be helpful to jot down best practices for organizations that are looking to get the most value out of their enterprise-level financial and operational data sets.
Every organisation entering the roaring 20s knows that they must use their data as a strategic differentiator to gain a competitive advantage and…Continue
Added by Fahad Zaidi on January 19, 2020 at 6:00am — No Comments
If you ask the question "What's the best degree for Data Science?" you'll get dozens of different answers. The sheer amount of different opinions might leave you wondering which degree is the "best", and there isn't a simple answer. One person's "best" degree is another person's "worst."
Trying to make sense of all those differing opinions? I've done the hard work for you. This is where statistics is actually very useful (and it's one of the popular choices for…Continue
In my previous post, I discussed the differences between Business Intelligence and Business Analytics. Two other terms that are often confused are Business Analytics and Data Analytics, but they are actually quite separate entities. This one picture highlights the differences between the two…Continue
Added by Stephanie Glen on January 18, 2020 at 7:12am — No Comments
The deployment of Machine Learning and Deep Learning algorithms on Edge devices is a complex undertaking. In this post, I list the strategies for deploying AI to Edge devices end-to-end i.e. for the full pipeline covering machine learning (building modules) and deployment (devops)
I welcome your comments on additional ideas that could be included. In subsequent posts, I will elaborate these ideas in detail and…Continue
Added by ajit jaokar on January 16, 2020 at 11:30am — No Comments
While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reasonably good familiarity of such details. A solid understanding of the intuition behind such algorithms not only helps in appreciating the logic behind them but also helps in making conscious decisions about their applicability in real life cases. There are several graph based algorithms and most notable are the shortest path…Continue
Added by Murali Kashaboina on January 14, 2020 at 3:00pm — No Comments
Maybe the biggest challenge we face as a society is our ability to unlearn – to let go of – outdated concepts and beliefs in order to adopt new approaches. Our everyday lives are dominated by outdated concepts: change the oil every 3,000 miles, don’t wear white before Memorial Day, only senior management has the best ideas, don’t eat dessert until you’ve cleaned your plate, trade wars are easy to win, leeches work wonders on headaches, etc.
Well, I’m going to throw down the gauntlet…Continue
Added by Bill Schmarzo on January 13, 2020 at 6:00am — No Comments
Near about 14% of the workforce or 375 million people worldwide could lose their jobs to AI and automation.
Take a step back and look over the year that has gone by. What have you achieved? Are you being monolingual?
For someone in the tech industry, this might render your career obsolete. In times when AI is taking over the world, being monolingual can be a disadvantage.…Continue
Added by Yoey Thamas on January 14, 2020 at 12:30am — No Comments
Software is always not only a set of instructions but also a context that manages, interacts and executes these instructions. At the start of developing, the engineer configures a dev environment. He can continue to change it in all stages of development. The problem appears when…Continue
Added by Igor Bobriakov on January 14, 2020 at 6:00pm — No Comments
To get a defining advantage over the competitors the banks, as well as other financial institutions must dig deep into technology breakthroughs. Luckily, Artificial Intelligence and Machine Learning are already here to help them to achieve it. Improving data processing will lead to better strategies and fraud prevention levels.…Continue
Added by Roman Chuprina on January 15, 2020 at 4:00am — No Comments
Data Science methods and techniques allow new approaching the solution of complex tasks in terms of mathematics, and statistics for the various aspects and areas of our life, work, and business. Therefore, this makes it possible to produce the most unobvious…Continue
Added by Igor Bobriakov on January 16, 2020 at 10:30am — No Comments