A Global Provider Of Real-time, Multi-asset Financial Market Data And Solutions, ACTIV Financial, Has

Streamlining Smart Cities with Geographic Information System

Decades of unplanned urbanization has induced rampant pollution, sanitation hazards, inadequate housing, slums, and transport perils, Along with that, extreme weather patterns have become a global concern. It is about time data-driven adaptive urbanism—smart cities—gains momentum, building cities as models of a global change.

This model will pave the way for connected spatial data flow, enabling every resident in the city to comprehend the goals the community needs to accomplish. The residents can utilize applications to keep themselves informed about recreation, business, property, transportation, taxation, and more.

These smart cities function round-the-clock in a cloud environment and are entirely based on knowledge and innovation for best and sustainable civilian services. The definitions for smart cities vary depending on geographies, deployment, and scaling. However, in a data-driven environment Read More 

Interesting Read: At the Pinnacle of Smart City Aspirations

The trend of making services customer-oriented is a direct result of rising demands among customers for better services, and the best way for banks to achieve it is through the use of analytics. Technology is the most crucial aspect of the digital age, but so are the customers and their changing expectations on service providers. Improved customer services enhance business opportunities and increase brand value, due to which banks are prioritizing it.  

Under the traditional approach, banks collected customer information to build databases that could be used to disburse services. Now, customer data has become easily accessible, and analytics solutions are empowering banks to leverage the data for improving customer services.

The use of analytics in the banking sector is not new. Several processes are already using data analytics solutions to hike the efficiency of operations across departments. However, the potential of analytics in improving customer service is incredibly high, making it an indispensable tool for banks. The following list throws light on the factors which make analytics important for CIOs in their quest to help banks improve customer service.

• Handling Vast Data Volumes Effectively

There are several constraints when it comes to handling analytics through traditional approaches. With the exponential rise in the amount of customer data available with banks, manual analytics is out of the question now. Advanced data analytics solutions are equipped...

The big data of real estate

“Irrespective of industry, location or client base, technological advancement is indiscriminate in the wave of the disruption it brings. These changes have become the new norm for businesses, and commercial real estate is no exception”. Reblog with caption 🙃

Trending AI Technologies That Will Dominate in 2019

Artificial Intelligence (AI) has shown a tremendous transformation in healthcare, education, manufacturing, and almost all other sectors. AI products are gradually infiltrating homes and workplaces. This is raising concerns regarding the effects of AI on the job market; ArtificiaI Intelligence is transforming the lives and is only scaling the human mind and not replacing it.

Let’s have a look at Top Technologies To Watch Out In 2019

Better Results with AWS Monitoring

Most of the time, AWS continues to extend its market share and add new options and services at such a fast rate that even well-positioned corporations like Microsoft and Google find it exhausting to form a major contribution to the present market share. Cloud security and management of performance could be an exchange. The traditional applications will fail, and they cannot monitor data flaws in the cloud.

When a company uses the cloud, their management plane provides the power to work out associated management virtually everything that happens in the implementation on an unthinkable scale of detail in an on-the-spot data center. 

Indeed, the company management plane not only creates a rather intense single failure purpose within the cloud but it also conjointly establishes a rate level that’s difficult to stay with. The identical IP address might need to a separate server largely from minute to minute or it will stop.

Keep Reading

The cornerstone of a well-set finance function within the future is a coordinated approach across all the existing elements

Aerospace Innovations: https://goo.gl/sdpPUK

Moving toward an Information Age Air Force: https://goo.gl/ytcEVh

Engineers fly first-ever plane with no moving parts

Since the first airplane took flight over 100 years ago, virtually every aircraft in the sky has flown with the help of moving parts such as propellers, turbine blades, and fans, which are powered by the combustion of fossil fuels or by battery packs that produce a persistent, whining buzz.

Now MIT engineers have built and flown the first-ever plane with no moving parts. Instead of propellers or turbines, the light aircraft is powered by an “ionic wind” – a silent but mighty flow of ions that is produced aboard the plane, and that generates enough thrust to propel the plane over a sustained, steady flight.

Unlike turbine-powered planes, the aircraft does not depend on fossil fuels to fly. And unlike propeller-driven drones, the new design is completely silent.

“This is the first-ever sustained flight of a plane with no moving parts in the propulsion system,” says Steven Barrett, associate professor of aeronautics and astronautics at MIT. “This has potentially opened new and unexplored possibilities for aircraft which are quieter, mechanically simpler, and do not emit combustion emissions.”

He expects that in the near-term, such ion wind propulsion systems could be used to fly less noisy drones. Further out, he envisions ion propulsion paired with more conventional combustion systems to create more fuel-efficient, hybrid passenger planes and other large aircraft.

Barrett and his team at MIT have published their results in the journal Nature.

Keep reading

Know these to get started with Python.

Web Development has advanced over a period of time

Taking a Mobile First Strategy to Web-development

Changing trends in web design via web development

Java's Ongoing Popularity

The Era of Modern Web Development

Python as a first language: a roadmap to getting started.

I personally prefer Java as a first language. Put non-technically, it is a lot less convenient, so you get a more realistic idea of how computers work. Nonetheless, Python is an amazing language (with convenience as one of it’s values) so it makes sense as a gentle introduction. It’s also a popular language for data science and machine learning, so it’s great to have experience with.

The 3 ingredients you need to get started:

The Python Language Interpreter: when you write some code in a text file and save it as a .py file, the Python interpreter is what turns that code into commands that your computer can then actually preform. This is necessary.

An Integrated Development Environment (IDE): An IDE is like a helpful text editor for programming. Some basic features include auto-complete, typo and mistake catching, and automatic text coloring to make some parts of your code easier to find. This is optional but highly recommended.

Some learning resources: We’re going to need something about programming basics, problem solving in computer science, using an API, learning how to use google and stackexchange, data types, control structures, and then maybe an object-oriented programming intro, and eventually all the neat advanced features of the python language. Then we need to learn how to use Numpy (for scientific computing), Pandas (for easy data storage), and Tensorflow (machine learning!). Add some handy cheat-sheets for python, numpy, pandas, and Tensorflow, and we’re good to go.

Other posts will adress download, installation, and resources.

A curriculum:

Like I said up above, we need to know how to do the following. Save this and make it a checklist.

Learn to use google to answer questions about installing or using python, any packages, or computer science.

This also includes getting to know how to search Stackexchange, the website for coding questions n’ stuff.

How to install python 3 and get set up

How to install an IDE like Eclipse (with PyDev), IDLE, or Notebook++.

Programming basics: how does python work? What does the language look like? How does tabbing work?

Understand basic logic, including AND, OR, XOR, NOR, NAND, XNOR, Implies, and If…Else statements.

Variables: what are they, how do I set one and change it?

Basic math in Python.

Data types: what kinds of variables can I have? How does my computer store data? How do I use those types of data? What are the key commands and operations I know how to do?

Control structures: if, else, elif, for loops, while loops, break, continue

Methods! What are they, how do I make one, what can I do with it?

The open() command, the all() command, other neat built-in methods

<function name>= lambda <your variables>: <single line method>

Problem solving in computer science: now do fizbuzz.

What’s a package?

Importing packages, installing packages you don’t have with PIP

Using an API: how do I find one and how do I read it?

object-oriented programming in Python: what’s a class, how do I make one, how do I reference and instantiate one, methods, class vars, etc

Error handling: how to do exceptions

All the neat advanced features of the python language: iterators, generators, list comprehensions, enumerate, range, assert, with…as, etc.

Read through the Numpy API (for scientific computing), data types, matrices, stats, methods, etc. A short detour through scikit would be helpful.

Read through Matplotlib.pyplot API, plotting, plotting options, histograms, scatterplots, etc.

Pandas (for easy data storage), data frames, series, built-in operations on columns and rows, loading from a CSV, saving as a csv, apply, etc

Tensorflow (machine learning!) For basic stuff, shoot for knowing how to use the estimator package, which is discussed elsewhere on this blog. Also get to know the nitty gritty, including tensors, layers, tensorboard, etc.

A 64-year-old man in Canada who was left disfigured after a hunting accident has become the OLDEST person in the World to receive a FACE Transplant. Four months after the surgery, performed at Hospital Maisonneuve-Rosemont in Montreal, the man has regained the ability to breathe properly and has begun to chew, smell, and speak with his new face.