WFH

Permanent Work From Home – New HR Contract Model

by with No Comment BusinessDigitalTechnology

The most trending HR employee contract model now includes “Work from ANYWHERE” apart from the usual “Permanent |  Full-Time | Causal | Part-Time | etc.” This model essentially allows employees to choose whether they want to be full time at the Office | Home | Office and Home.

Spotify is the latest tech company which has recently adapted this model. The company will adhere to implementing extreme flexibility even around locations, giving employees the freedom to even choose the country and city where they would like to work from. The company has decided to provide co-working space memberships for its employees who choose to work remotely and at the same time desire for a dedicated workspace. Hence, giving them the best of both worlds!!!

We are seeing more and more big-scale companies adopting the remote work model as a more permanent and concrete option due to adversities caused by the Covid-19 pandemic. This framework will give more assurance to companies in leading a more persistent growth. 

With this dynamic shift in workplace concept, companies are at the forefront of reassessing their office spaces across the globe for increased perseverance, flexibility and prosperity to ensure that all of their operations, regardless of the situation, goes on unobstructedly, comfortably and efficiently. The main objective of this new employee roadmapping approach is to ensure that employees in the uncertain long-run have a permanent & backup place where they can perform with focus, collaborate without obstruction, innovate and recreate and the possibility of this should prevail whether at an office/home desk, in a conference room, a cafe or a co-working space.

Spotify is not the only tech company, there are other significant companies like Microsoft, Salesforce, Twitter, Square, etc. who have considered and implemented this dynamic employee contractual setting. Salesforce recently announced to let its employees choose whether they would consider coming into the office again? While Simultaneously emphasizing that the 9-to-5 workday routine is dead. Square and Twitter are letting employees work from home #wfh FOR GOOD! And lastly Microsoft also offered its workers high flexibility to work from home.

 

 

As evidently seen that we have a rising number of companies who are proactively considering remote work as a more permanent option due to the Covid-19 pandemic. I think it is time that all companies should prepare for the same and evolve with the changing time. The world is not the same anymore. In this world only the digitally adept will survive. @CloudPloys we help companies in upscaling and proofing their business against such adversities, so please reach out for a consultation and a relaxed discussion! 

Cloudploys posters (6)

ZipPay VS Afterpay – How are the two different or similar?

by with No Comment BusinessDigitalTechnology

When we talk about buying shares the two most trending shares these days are those of Zip and After pay. But the business models of both are similar that it is hard to identify a clear distinction between the two. The buyers often cannot make a clear comparison between the two.

So here we have listed out a few key features for both:

 ZipPayAfterpay
What does the company offer? Offers buyers an instant credit of $1000 for buying products. It can be redeemed in online or other purchases. The user has the flexibility to decide their instalment repayment plan. Most flexible! Offers buyers to buy now and pay later with four split payments in equal portions deducted fortnightly from the registered credit/debit card. Most convenient! 
Buying Limit Offers an instant shopping credit of $1000 without any need for an initial deposit at the time of purchase. For any order greater than the $1000 value the buyer needs to pay the difference upfront. Offers a total transaction of up to $1000 with the first quarter payment payable by the buyer at the time of purchase. 
Fees & Charges No fee incurred if instalment is paid on time. 0% interest & $0 set up. No fee incurred if instalment is paid on time. 0% interest & $0 set up.
Late or Missed Instalment ChargesCharges $5/month after the first month for any outstanding amount irrespective of how big or small the amount is. 
This means if you pay off before the end of the first month you will never be charged a fee!		Charges $10 for a late payment. However, they do send follow-up reminder emails ahead of time. 
This means if you pay on time you will never be charged a fee!
Summarised Distinction Flexible process, no deposit required Simpler process and get to pay off faster. 
User Eligibility Only available for Australian Citizens and Permanent Residents over 18 years old. Only available for Australian Citizens and Permanent Residents over 18 years old. 
Bank Card Requirements A user must have a valid debit card and be employed with a minimum salary of $300/wk A user must have a valid credit/debit card and sufficient funds to cover the first quarter instalment.

These are the few clear distinctions which might support you in decision making amongst two crucial companies. @CloudPloys enjoy exploring such exciting & enriching topics. So if you are someone like minded and enjoyed reading this blog then stay attuned for more topics yet to be explored! 

lockdown

Is your business COVID proof? Can it survive recurring lockdowns?

by BusinessDigital

Take your business ONLINE before the lockdowns take them OFFLINE!!! @CloudPloys

Melbournians were truly taken aback with the fourth lockdown with coffee & food culture being the charm of the place this recent lockdown announced on 11th February, 2021 affected the cafes & restaurants quite impactfully especially with Valentines weekend being round the corner…who knew that on Valentine’s day I would be writing a blog instead of going out for a sunny date out?

The adversity of these state restrictions sinks quite deeply into the education industry, hospitality and recreation sectors but this is something not even the Victorian Government can knowingly help but you surely can…by doing your business a favour and transitioning ONLINE as much as possible. It is understandable that there are few aspects of the business which cannot be virtual but it is better to have a cloud shield for those operations where possible.

Regardless of the fact that we are heading to something called a “New Normal” era but the uncertainty around the world with respect to such viruses can never give a surety of a definite normal. There are still some businesses for whom digital transition will be a challenge as they would not be able to speculate that which operations can actually be done online and this is where @CloudPloys come in. We listen, analyse and present you with strategic and COVID proof business solutions. We do the thinking for you, you just have to reach out!

Take example of this lockdown we know it is going to last for 5 days but are we confident that it won’t get extended ?? In a situation where the government is not certain what is coming ahead how can we as individuals have our own speculations?

Therefore, it is utterly vital that we proof our business and be ready for anything that comes at us. As a responsible business it is your liability to take the first step and as an expert it is our responsibility to give you a viable solution.

cyber security

Cybersecurity Dilemma – Securing Internet of Things (IoT) Networks

by BusinessDigital

The two trending buzzwords in the IT industry that have evolved imminently are “Artificial Intelligence” (AI) and “Machine Learning” (ML). More so these two words often seem to be used reciprocally.

However, they are not actually reciprocal, but the perception that they are could lead to false information. Therefore, read this article to make an informed distinction between the two.

AI & ML both appear frequently when the topic under consideration is Big Data, Analytics, and other such tech areas which are popular throughout our world.

To loop it together, Artificial Intelligence incorporates and functions tasks using Machines in a way that we would consider “smart”.

Whereas, Machine Learning is an active application of AI propagated by the idea that we should really just be able to feed machines with data and let them learn for themselves.

But how did this idea evolve in the first place?

AI has been an aged concept even the ancient Greek mythology contained stories of mechanical men designed to mimic our own behavior. Soon after this myth, early European computers were perceived as “logical machines” and by performing capabilities like arithmetic & memory, provoked engineers to create even more smart mechanical brains.

With emergence of tech along with our adeptness in understanding how a human mind works, our concept of what constitutes AI has evolved too. Instead of focusing on increasingly complex calculations, work in the field of AI concentrated on replicating human decision making processes and carrying out tasks in ever more human ways.

Artificial Intelligences = Machines designed to act intelligently 

Are often classified into either of two fundamental groups:

  1. Applied AI – This is far more common, for example systems designed to wisely trade stocks & shares, or action an autonomous vehicle would fall into this category.
  2. General AI – This is less common than the former, these are systems or devices which can in theory handle any task. This has led to the development of Machine Learning, considered as a subset of AI, it can be thought of as the current state-of-the-art and this is where some of the most exciting advancements are happening today. 

Emergence of Machine Learning

This was provoked by two fundamental breakthroughs:

  1. Realization – This concept means that rather than teaching computers everything about the world and how to intelligently carry out tasks, it might be possible to teach them to learn for themselves.
  2. Emergence of the internet – The huge increase in the amount of digital information being generated, stored, and made available for analysis.

With these innovations in place, engineers realized that rather than teaching computers & machines how to do everything, it would be far more efficient to code them to think like human beings, and connect them into the internet to feed all of the information in the world. 

About Neural Networks

This has been the key to teaching computers to think and comprehend the world in a human like manner, while retaining the typical advantages it holds over humans like speed, accuracy and unbiasedness.

A “Neural Network” is a computer system designed to work by classifying information in the same way a human brain does. It can be taught to recognize various aspects like graphics or images and furthermore, classify them according to elements they contain.

It works based on data fed to it upon which it is able to make statements, decisions or predictions with a degree of certainty i.e. Probability. The insertion of a feedback loop enables “learning”, upon sensing whether its determination is correct or not, it modifies its future approach. 

ML Apps can smartly “read” text to analyse if the writer of the text is making a complaint or applauding. It can also “listen” to music and determine if it’s happy or sad music, and find music of the same genre. Furthermore, they are trained to even compose their own music with similar themes, or which they sense is likely to be commended by the listeners of the original piece.

About Natural Language Processing

Another field of AI “Natural Language Processing” (NLP) is another thrilling innovation in this era, and one which is heavily reckoning on ML. Elaborating the idea to different heights, i.e. we should be able to communicate and interact with electronic devices and digital information, as naturally as we would with another human being. 

NLP Apps attempt to study natural human interactions, both in written or spoken format, and communicate in return using similar, natural language. ML is used here to help machines cope with vast distinctions in human language, and train it to respond in a way that a particular audience would likely receive from another human.