Fintech Is Transforming The Face Of Global Payments. Recent Global Investments And Interests In Financial

With blockchain, ocean plastic has met its bottleneck.

What’s a great way to celebrate World Oceans Day? Honor the people and businesses working to save our oceans. One company’s solution is simple—Plastic Bank is incentivizing people to keep plastic on land by turning it into a new kind of currency. In developing countries, locals can bring their plastic waste to a collection center and trade it for digital tokens leveraging IBM Blockchain technology that can be exchanged for goods from participating merchants. In regions where bank accounts are rare, and crime and corruption are prevalent, Plastic Bank’s blockchain-powered currency offers a secure, portable alternative. With their mission to keep oceans clean while financially empowering communities, Plastic Bank is more than deserving of World Oceans Day accolades.

Learn more about Plastic Bank ->

How Internet of Things and Augmented Reality are a Perfect Match

The combination of the Internet of Things (IoT) and Augmented Reality (AR) is not only allowing enterprises to gather data and generate insights from it, instead, it is also delivering those insights to the right people at the right time to create maximum impact. 

If IoT is the year’s blockbuster, then Augmented Reality is gradually becoming an innovation that lets workers easily gain access to what’s happening with their smart connected products. IoT generates the data required and AR assists in using that data optimally.

Internet of Things (IoT) and Augmented Reality (AR)

IoT uses its network of smart objects, sensors, and processors, and makes the entire process autonomously responsive by continuously gathering data, analyzing it and triggering the relevant and appropriate responses from the concerned entities.

 For Instance, IoT-based inventory management system uses sensors and scanners to monitor the consumption and storage of materials present in a manufacturing facility. Moreover, whenever the inventory reaches depletion, the IoT-powered systems either place an order for replenishment or it notifies the concerned authorities.

Augmented Reality is integrated to provide workers the ability to access vital information. For example, the use of AR smart glasses in the logistics department is helping to sort the units and also helps to identify packages efficiently without struggling to read the printed tags or use hand-held scanners.

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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.

Cisco and Amazon Collaboration to Simplify Cloud Application Deployments

Network service provider Cisco has partnered with Amazon Web Services to offer a product that enables developers to build applications in the cloud. With these applications, customers can use Amazon’s data centers to operate business applications seamlessly. 

This is one of the largest manufacturers of routers and switches that help the computer networks to share data and high revenue.

More on this here: https://goo.gl/jd4W3s

Benefits of Employees Assistance Program

Confidentially sharing their issues makes employees happy. In a few organizations, EAP is available for both employees and their families to help employees remain productive at work.

Through an EAP, the employees have access to trained and licensed counselors. The sessions carried out are completely confidential giving employees the peace of mind that their personal information is protected.

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Implementing Unique Technologies to Enhance Physician-Patient Relationship

Technological innovation in medicine takes place in a major area managed by knowledge inequalities and trust-based relationships. A legal framework of professional advice-giving governs these relationships. 

It is assumed that this interaction is between patients and doctors. Introducing AI in healthcare challenges this assumption, though there is disagreement about whether human doctors will work with Artificial Intelligence or will be replaced by it.

Artificial Intelligence will not replace humans due to unresolved issues in transposing diagnostics. It will assist doctors with accurate information to provide better care to the patients. There is a significant shift in the patient-doctor relationship with the involvement of AI in healthcare.

Consumerization is an emerging phenomenon in healthcare where the role of the patient is changed as a reactive receiver of care. They play a vital role in managing their health, deciding their payment method, and in demanding the quality of service.

Patients can access their medical information in many ways. WebMD website is the leading healthcare information provider where its online portals, mobile platforms, and health-focused publications serve as better healthcare plans for consumers and physicians. 

Consumers utilize this website because they trust that the answers to the healthcare-related questions are reliable, accurate, and easy to understand.

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SEO Trends Influencing the E-Commerce Industry

The algorithms used by major tech giants have developed gradually because of their investment in money, time and energy. As a result, search engine optimization (SEO) trends and leads to marketing tactics are constantly changing the present technological world. 

The SEO marketing strategies, which are already in place for e-commerce businesses, need to adopt the changes to remain relevant and dominate in their respective markets.

In a voice-search-dominated world, most of the searches are in the form of questions. So it is very important to structure the content in the website according to the questions. The content should be able to answer a potential customer’s questions. 

The optimisation of the questions is necessary. By using smart SEO tactics, this voice search technology can be accessed 24/7. Amazon's Alexa, Siri, and Cortana are some of the voice search technologies which allow voice interactions via phone, when in a car, and at home.

Full article here: SEO for e-commerce

Expanding DevOps Strategy for Smarter Business Applications

Patrick Debois coined the term DevOps, which is described as an integrated approach of software development teams as well as IT operation teams working collaboratively in achieving the specific task. With evolvement in technologies, it has become the key focus in reforming the future of the software industry, and its recognition is going to peak in 2018.

In practice, to achieve DevOps effectively, the developed software should meet certain architecturally requirement standards such as modifiable, monitor ability, feasibility, and deploy ability in an acceptable limit and effective manner.

Complete Article Here: Expanding DevOps Strategy for Smarter Business Applications

10 Most Effective Ways for Successful DevOps Implementation

The worldwide adoption of DevOps by organizations symbolizes that it is the key component to scale up. Proper execution of DevOps practices helps organizations deliver better, faster, reliable and high-quality software depending on the culture of collaboration. It calls for fundamental cultural change, modification, and improvement of programming practices.

Here are the 10 most effective ways to implement DevOps successfully:

1) Aligning IT and Business Goals

It begins with aligning your IT goals with your business goals. The development process for the business goals should demand this change. Implementation of DevOps just because it is the latest trend will not fetch results.

2) Breaking down silos

Information silos can hinder the progress of an organization. DevOps aims to break those silos and deletion of these barriers from an organization can improve communication among the teams and maintain a flow and accessibility to information which helps in better decision making, in turn, better output and ideas. 

Read More: Effective Ways for Successful DevOps Implementation