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Imagine a space where you can share your account details with friends or business partners securely for the purposes of collaboration? Something like a file-sharing solution for your banking needs?
Well, the N26 Bank recently announced the launch of a feature dubbed ‘Spaces’. This new addition provides a fast and easy way to set aside money based on your personal preferences.
With Spaces we give users the freedom to set up their financial world without the limitations of traditional banking, Valentin Stalf, CEO and Co-Founder of N26.
What does that mean?
You will now be able to instantly move funds to your personalized “Space” and back to your main N26 Personal/Business/N26Black/Metal account.
This provides control over how you organize your money and keep track of multiple financial goals.
This also means that for the first time in banking, one can create tailored sub-accounts to save or allocate money for specific things.
So, your purchases and experiences: whether it be shopping for a wedding, starting a small business or planning a holiday, can all be clearly budgeted for.
Your ‘Spaces’, therefore, are set up as separate sub-accounts. It makes it even easier to maintain discipline over your daily spending. Some of you(referred to as penny-pinchers) are disciplined enough to be already doing this.
Spaces will help you avoid using tedious spreadsheets or pen and paper.
You are now given the flexibility of customizing ‘Spaces’ by choosing names, transferring money seamlessly between accounts with simple drag-and-drop motions. You can also open and close the spaces as when as needed.
*The personal card is free of any monthly management fees and available in EU and soon in the USA.
So, what kind of things can this ‘smart’ tech do? Just 4 months ago, an AI machine managed to complete a University level math exam 12 times faster than it normally takes the average human. How? Through the art of machine learning; where computers learn and adapt through the experience without explicitly being programmed.
Furthermore, Facebook made headlines earlier this year when their chatbots created their own language. Some Fake News stories claim that the engineer’s pulled the plugin a panic as they were getting too smart. However, the truth is that for Facebook’s purposes the chatbots needed to stick to English rather than developing their own shorthand. Their machine learning chatbots did nevertheless, create their own language outside their explicit programming.
This evolving area of computer science is the future for service businesses, and it’s already affecting the way we live and work today. In fact, research firm Markets and Markets estimates that the machine learning market will grow from $1.41 billion in 2017 to $8.81 billion by 2022!
So buckle up because these technology trends will affect every part of your business, from marketing to operations all the way through to payroll and here’s how.
AI and Social Media Marketing
In April 2017, CRM software provider, Salesforce conducted a study of marketing leaders worldwide, and the results were mind-blowing. Respondents said they expect to see improvements in efficiency and advancements in personalization over the next five years. More than 60 percent of marketers also envision leveraging AI to create dynamic landing pages, websites, programmatic advertising and media buying.
The main way AI will affect marketing is through nurturing leads through social media. But how? Through personalized, real-time content targeting that produces 20 percent more sales opportunities. With behavioural targeting methods, AI will be able to locate and start the nurture process, for example, a marketing stack that employs AI algorithms might learn that a specific buyer who checks into LinkedIn on Monday mornings has recently started looking for a new CRM tool. The software can then suggest (or even create) targeted posts to be published on the days and times that they’ll see them: one that asks their requirements of the software and another follow up piece with a comparison of the CRM ecosystem.
Currently, savvy marketers that are using social listening as way to nurture leads don’t have the necessary enhancement of AI and is, therefore, time-consuming, manual and not in real-time. So how do you start to get ready for this type of future content marketing distribution?
Firstly, you will need to have your buyer personas (using the consumer black box theory ) well defined. Taking a solid look at your CRM will give you tons of hints for content that will get qualified leads to respond. By taking a step back and analyzing your channel’s content (like emails, phone calls and social media messages) you will start to get the right kind of insights that will prompt a lead to take the next step into the second phase of your sales funnel. For instance, a C-Suite executive might respond best to data-driven whitepapers and infographics to peak their interests, whereas a fellow marketer might be more suited for an interactive case-study or video.
The only way to get these kinds of insights is to do a deep dive into your CRM platform and conduct a thorough review of customer details – using semantic analysis to understand the level of buying intent behind the words your qualified prospects use.
Hot tip: Starting to run your analysis now and developing strong personas will be key to implementing AI algorithms to your social media in 2018 and beyond.
Marketing and Machine Learning
Put simply, machine learning is about understanding data and statistics. It’s a technical process where computer algorithms find patterns in data, then predict probable outcomes – like when your email determines whether a particular message is spam or not depending on words in the subject line, links included in the message, or patterns identified in a list of recipients. This is a perfect example of how machine learning can be applied in marketing to optimize for successful campaigns.
Businesses can also use machine learning to up-sell the right product, to the right customer, at the right time. In 2018, marketers will continue to rely on machine learning to understand open rates when it comes to email – so you know exactly when to send your next campaign to increase click-through rates and ROI. The next big thing? It might sound small but ticket tagging and re-routing can be a massive expense for small businesses – costs that can be saved with machine learning.
Having a sales inquiry automatically end up with the sales team, or a complaint end up instantly in the customer service department’s queue, is going to save companies a lot of time and money, and this is all being made possible with modern technology.
And while solving issues in record time and delivering successful email campaigns is great, this is just the beginning.
You’ve been shopping for a new pair sunglasses on Amazon, then before you know it, your Facebook feed is filled with multiple eyewear ads and related trends for summer: this is machine learning. In fact, this example of analyzing data based on a user’s purchase history or online shopping behaviour is the future for e-commerce.
Retail companies are also tracking what ads or images you’re most likely to stop scrolling on, in order to target you with specific content. For example, if you always click on ads that contain happy women and some text, then a machine will log this as preferred content so that you are only targeted with ads that fit this description. Machines can also track what time of day you are most active on Facebook, Instagram, Twitter and/or Pinterest, in order to present these ads to you at an optimal buying time.
Then when it’s time to purchase, machine learning is applied to reduce the risk of credit fraud in small businesses. How? Machines learn from historical datasets that contain fraudulent transactions and can identify patterns that represent a typical fraudulent transaction – similar to the way spam emails are detected and deterred. Machine learning will start to affect other parts of your business funnel as well, just take a look at the rise of Chatbots.
There was a time in which chatbots were only thought of as manmade pests on the Internet, but through machine learning, they are getting smarter and businesses are embracing them en mass.
In 2018 and beyond, chatbots will play a key role in the future of customer service. Why? Chatbots can help achieve a faster customer service resolution, as well as provide quick histories of each customer for impeccable customer service. There are some key benefits that chatbots have over solely human interactions:
This emerging tool for businesses already has significant buy-in from thought leaders around the globe. In fact, Larry Kim, Founder of Wordstream, is all in on chatbots as he has started his own company where his bots are currently in beta. With this move, it will be interesting to see how businesses will leverage robots throughout other aspects of their business. The final trend we’ll explore is Automation and how it affects businesses today.
Though Machine Learning and AI are hot topics in the tech world, it is not to a point that small to medium size businesses can leverage it in the immediate future. But there is still hope for them with automation. Powered by the Cloud, this type of technology has already revolutionized Marketing and Sales workflows and interactions but it is also starting to touch the various other parts of a business. For example:
Operations Automation
Once you win an important sale, you’ve got to deliver the product or service you’ve promised to the client. What does that process look like for most businesses now? You all will have a kick-off meeting and hope to cover all the promises that marketing and sales have given to your client.
However, with the use of operations automation and a powerful CRM, you will be able to read the interactions and see all the various touch points a client had with your company before that kick off call even happens. This will give all service businesses a head start in providing great client relations and managing expectations. This category of SaaS products is called Service Operations Automation, or ServOps for short.
Accounting Automation
If there is one data-entry heavy department it would be Accounting. The problem is that as humans, we are fallible and much slower at data entry than a machine. Innovations with bank feeds, rules-based categorization and integrated payments have dramatically reduced the workload of clerical and bookkeeping staff and given business owners more timely access to accurate financial information for their businesses.
Research, done by Xero, (a popular financial software provider) suggests that by 2020, automation will be commonplace in accounting, and a significant number of finance professionals will be using the next level of analytical tools to help them add value to business models across the globe.
Payroll/HR Automation
Finally, the Cloud and Automation have come to the Payroll and Human Resources sector. These important areas of a business too often suffer because small businesses aren’t big enough to afford a full-time HR department. What’s the alternative? Having only part-time efforts of founders and principals which can often lead to serious risk to the business.
For instance, Zenefits will automatically submit forms to the national tax authorities on the behalf of companies. With new automation technology, compliance is automated by platforms and the effort of keeping time-off approvals in sync with PTO balances and payslips becomes a thing of the past.
In the near future, we will see the rise of great technology, powered by the Cloud, Automation, AI and Machine Learning. This truly is the start of the Golden Age of Information Technology and it is time for businesses to take a hard look at their organizations and find ways to start integrating these tech trends.
This is a slightly shortened re-blog from a marketing post on Tenfold.com *
We are living in exciting and innovative times with futuristic technology literally at our fingertips. But for the longest time, small to medium-sized businesses were not serviced by the latest tech trends enterprises have been able to benefit from.
That is, until now. This piece explores these technology trends and how they will impact business in 2018 and beyond.
So, what kind of things can this ‘smart’ tech do? Just 4 months ago, an AI machine managed to complete a University level math exam 12 times faster than it normally takes the average human.
How? Through the art of machine learning; where computers learn and adapt through the experience without explicitly being programmed.
Furthermore, Facebook made headlines earlier this year when their chatbots created their own language. Some ‘fake news’ stories claim that the engineer’s pulled the plugin a panic as they were getting too smart.
However, the truth is that for Facebook’s purposes the chatbots needed to stick to English rather than developing their own shorthand. Their machine learning chatbots did nevertheless, create their own language outside their explicit programming.
This evolving area of computer science is the future for service businesses, and it’s already affecting the way we live and work today. In fact, research firm
Markets and Markets estimate that the machine learning market will grow from $1.41 billion in 2017 to $8.81 billion by 2022!
So buckle up because these technology trends will affect every part of your business, from marketing to operations all the way through to payroll, and here’s how.
In April 2017, CRM software provider, Salesforce conducted a study of marketing leaders worldwide, and the results were mind-blowing. Respondents said they expect to see improvements in efficiency and advancements in personalization over the next five years.
More than 60 percent of marketers envision leveraging AI to create dynamic landing pages, websites, programmatic advertising and media buying.
AI will affect marketing by nurturing leads through social media. But how? Through personalized, real-time content targeting that produces 20 percent more sales opportunities.
With behavioural targeting methods, AI will be able to locate and start the nurturing process. For example, a marketing stack that employs AI algorithms might learn that a specific buyer who checks into LinkedIn on Monday mornings has recently started looking for a new CRM tool.
The software can then suggest (or even create) targeted posts to be published on the days and times that they’ll see them.
Currently, savvy marketers that are using social listening as a way to nurture leads don’t have the necessary enhancement of AI. This is, however, time-consuming, manual, and not in real-time.
So how do you start to get ready for this type of future content marketing distribution?
Firstly, you will need to have your buyer personas (using the consumer black box theory ) well defined. Taking a solid look at your CRM will give you tons of hints for content that will get qualified leads to respond.
By taking a step back and analyzing your channel’s content (like emails, phone calls, and social media messages) you will start to get the right kind of insights. The ones that will prompt a lead to take the next step into the second phase of your sales funnel.
For instance, a C-Suite executive might respond best to data-driven whitepapers and infographics to peak their interests, whereas a fellow marketer might be more suited for an interactive case-study or video.
The only way to get these kinds of insights is to do a deep dive into your CRM platform and conduct a thorough review of customer details – using semantic analysis to understand the level of buying intent behind the words your qualified prospects use.
Hot tip: Starting to run your analysis now and developing strong personas will be key to implementing AI algorithms to your social media in 2018 and beyond.
Put simply, machine learning is about understanding data and statistics. It’s a technical process where computer algorithms find patterns in data, then predict probable outcomes. An example is when your email determines whether a particular message is spam or not depending on words in the subject line, links included in the message, or patterns identified in a list of recipients.
It’s the perfect example of how machine learning can be applied in marketing to optimize for successful campaigns.
Businesses can also use machine learning to up-sell the right product, to the right customer, at the right time. In 2018, marketers will continue to rely on machine learning to understand open rates when it comes to email. This way, you know exactly when to send your next campaign to increase click-through rates and ROI.
The next big thing? It might sound small but ticket tagging and re-routing can be a massive expense for small businesses – costs that can be saved with machine learning.
Having a sales inquiry automatically end up with the sales team, or a complaint end up instantly in the customer service department’s queue, is going to save companies a lot of time and money, and this is all being made possible with modern technology.
You’ve been shopping for a new pair sunglasses on Amazon, then before you know it, your Facebook feed is filled with multiple eyewear ads and related trends for summer.
This is machine learning.
In fact, this example of analyzing data based on a user’s purchase history or online shopping behaviour is the future for e-commerce.
Retail companies are also tracking what ads or images you’re most likely to stop scrolling on, in order to target you with specific content. For example, if you always click on ads that contain happy women and some text, then a machine will log this as preferred content so that you are only targeted with ads that fit this description.
Machines can also track what time of day you are most active on Facebook, Instagram, Twitter, and/or Pinterest, in order to present these ads to you at an optimal buying time.
Then when it’s time to purchase, machine learning is applied to reduce the risk of credit fraud in small businesses.
How? Machines learn from historical datasets that contain fraudulent transactions and can identify patterns that represent a typical fraudulent transaction.
Similar to the way spam emails are detected and deterred. Machine learning will start to affect other parts of your business funnel as well, just take a look at the rise of Chatbots.
There was a time in which chatbots were only thought of as manmade pests on the Internet. Through machine learning, they are getting smarter and businesses are embracing them en mass.
In 2018 and beyond, chatbots will play a key role in the future of customer service. Why? Chatbots can help achieve a faster customer service resolution, as well as provide quick histories of each customer for impeccable customer service.
The final trend we’ll explore is Automation and how it affects businesses today.
Though Machine Learning and AI are hot topics in the tech world, it is not to a point that small to medium-sized businesses can leverage them in the immediate future. But there is still hope for them with automation.
Powered by the Cloud, this type of technology has already revolutionized Marketing and Sales workflows and interactions but it is also starting to touch the various other parts of a business. For example:
Once you win an important sale, you’ve got to deliver the product or service you’ve promised to the client. What does that process look like for most businesses now? You all will have a kick-off meeting and hope to cover all the promises that marketing and sales have given to your client.
However, with the use of operations automation and a powerful CRM, you will be able to read the interactions and see all the various touch points a client had with your company before that kick off call even happens.
This will give your service businesses a head start in providing great client relations and managing expectations. This category of SaaS products is called Service Operations Automation, or ServOps for short.
If there is one data-entry heavy department it would be Accounting. The problem is that as humans, we are fallible and much slower at data entry than a machine. Innovations with bank feeds, rules-based categorization and integrated payments have dramatically reduced the workload of clerical and bookkeeping staff.
This gives business owners more timely access to accurate financial information for their businesses.
Research, done by Xero, (a popular financial software provider) suggests that by 2020, automation will be commonplace in accounting. A significant number of finance professionals will be using the next level of analytical tools to help them add value to business models across the globe.
Finally, the Cloud and Automation have come to the Payroll and Human Resources sector. These important areas of a business too often suffer because small businesses aren’t big enough to afford a full-time HR department.
What’s the alternative? Having only part-time efforts of founders and principals which can often lead to serious risk to the business.
With new automation technology, compliance is automated by platforms. The effort of keeping time-off approvals in sync with PTO balances and payslips becomes a thing of the past.
In the near future, we will see the rise of great technology, powered by the Cloud, Automation, AI, and Machine Learning.
This is a slightly shortened re-blog from a marketing post on Tenfold.com *
*This post was guest-authored by Tara Callinan and Jenneva Vargas from Accelo
The term “storage wars” has taken on a new meaning. It has shifted literally from the ability to keep one’s belongings in physical containers to having one’s data stored and managed in the digital realm.
The top four cloud tech companies are endlessly engaged in a silent market share war. It is a tough choice as they all offer millions of gigabytes in storage. We can only attempt to investigate to what extent is there an abundance of storage when we ‘run out’.
The “Cloud” as explained in our previous blog, is a series of backed-up servers scattered across the globe.
Consequently, in terms of availability of storage, it is just a matter of where (location) a datacenter can be run and at what its maintenance costs are.
The answer to how infinite is the cloud, therefore, boils down literally to a cost, rather than a capacity issue for cloud-storage providers (CSPs).
The main CSPs vying for a market share in the paid cloud storage subscriptions are Google, Microsoft (Azure), Amazon, and IBM.
There are also smaller yet significant players such as Box, Dropbox, Tresorit, and Barracuda. A quick online search on their websites will reveal what they can offer you.
Similarly, the pages of any one of the smaller companies will give some comparisons of each cloud storage offer (bundles).
We will, however, focus on the major ‘players’ and summarize their offerings based on offers for both individuals and small to large enterprises.
Some of the key features to look for when storing data in the cloud include Encryption at rest and in transit, as well as end-to-end encryption; 2-Step Verification, HIPAA Compliance.
Other factors to consider are the actual server location, ability to sync any folders, and perform selective Synchronization.
There are also key offerings such as offering the ability to edit files on mobile devices. For businesses, the ability to remotely wipe mobile devices, perform file-versioning, and other useful features for data management.
As a business, if the above-mentioned features are not in your cloud solution, you better look into switching away.
While you can technically run your own cloud, it would require a full-on IT team. That or a very good support system to assist in its maintenance and administration.
It is for this very reason that a SaaS(and Hybrid)-approach to storage is preferred by many medium to large enterprises.
A standard (personal) GoogleDrive starts from 15 GB in size and comes when you open a Google email account. This is a standard with most Android-powered mobile phones which require a Gmail account to register the phone.
It is a convenient way to store and access your pics, videos, and files across multiple devices or back them up in case of a hard drive crash.
If you do not mind the inconvenience of having several logins, you could get away with multiple drives giving you 15 GBs each.
There is, however, a drawback as there is no such a thing as a free lunch – the level of security and compliance features naturally are little to almost none. Additional storage can also be purchased with different upgrade plans, which may come with more add=ons such as extra file encryption.
When it comes to their business offering, their Team Drive is available with the G-Suite bundle. One can upload 750 GB of data per day and up to a total of 5 TB in size. Team Drive can contain a maximum of 100,000 files and folders, however, this limit can be increased upon request.
The basic package including the more advanced security costs $5 per user per month and gives you 30 GB for storage and collaboration.
The ease of accessing and using the drives via strategic partnerships such as Android provides them with a growing market share. As it is cloud-based and not linked to physical devices, you can access your GoogleDrive using a Mac computer as well.
There are growing talks of incorporating Artificial Intelligence <AI> into the data management systems. They are currently building a full AI Center in Accra, Ghana. This will help bigger companies manage, access, and organize their stored information faster and with more purpose.
They have recently launched a set of new cloud storage tiers under the branding Google One. This comes with revised pricing and storage options: 15 GB: remains Free; 100 GB costs $1.99/month; 200 GB $2.99/month and 2 TB $9.99/month.
Google is a latecomer when it comes to offering business solutions and still battles with the stigma of being a free service and thus associated with inferior quality.
The integration with Office applications is still something they struggle to get right. Not many are fans of Googlesheets.
Most non-Microsoft platforms will have this compatibility problem.
They also run into a few data syncing problems ever so often, especially with the free storage. Google offers full 24/7 customer and technical support with their products. More aggressive advertising and pricing of their business offerings now serves to hopefully alleviate this issue for them.
How Google bounces back from a hefty EUR 4,34 billion fine for colluding with Android will determine if they survive the storage war. This especially if they will be now forced to allow other CSPs to offer services on mobile devices.
They are actually seen as a formal threat and a direct (more superior) competitor to Microsoft’s cloud (equivalent) offering – which we touch on next.
Most of this comes from a robust and apparently the world’s largest global cloud infrastructure.
Based on this, its cloud storage, dubbed Amazon S3, works on a “pay as you use” basis while its free tier starts you off on 5GB of storage. Thereafter you pay in increments based on the storage class you fall under.
So the first 50 TB will cost $0.023 per GB per month and then the next 450 TB will cost $0.022 per GB per month and so on.
This is practical for businesses that do not have a limit to storage space but scale up and down very quickly based on their operations.
Amazon’s storage platform gives users and businesses alike the ability to geographically store and move data with the highest levels of encryption. In addition, one can use data analytics on your data without moving the data into a separate analytics system.
Amazon Athena additionally provides anyone who knows SQL on-demand query access to vast amounts of unstructured data. As with Google, AI incorporation along with Alexa would facilitate this even further.
Other notable benefits offered include open workflows, Hybrid-cloud storage capability, powerful APIs, and easy and reliable access to many Third-Party vendors & Partners.
Naturally, you get access to its AWS Marketplaces. It also has a strong compliance adherence including HIPAA/HITECH, EU Data Protection Directive, and FISMA.
Comparison of the various storage classes available.
Its primary offering of consumer goods and online delivery will make it prone to any bad press received if that arm of operations does not work well.
Further expansion into areas like streaming TV via Amazon Prime and cashless stores might result in a jack of all trades expert in none phenomenon. They are, nevertheless, handling all well so far.
They now offer games, server hosting software, applications, an online store for all its devices, software, services, and of course, storage.
Its Azure platform powers certain parts of Nasa and utility giant Schneider Electric to mention a few clients. Its purchase works similarly to Amazon via ‘pay-as-you-use’ terms.
Storage users need to have a .Net Framework and SQL installed to use the storage. For those looking for quick storing solutions without building heavy infrastructure, they can adopt the cloud completely.
With the launch of its online services (Microsoft 365), it has had to repackage a portion of its Azure platform to cater to small to mid-sized businesses.
These include functional/specific bundles such as OneDrive (personal), OneDrive for Business, and Sharepoint (powerful storage and content management tool).
The online version of the Sharepoint starts at $5.00 per user per month for a rather limited 1 TB per organization. Thereafter, users can purchase more in 1 GB increments of 12 to 16 (US) cents depending on the total (storage space) size ordered.
Also early adopters of AI (Machine Learning) and recently, the Blockchain (Blockchain Workbench), Microsoft is providing its developers with more and better reasons to use its storage space for practicality.
Like their online storage offers on Office 365, Azure storage packages are also quite structured and well categorised.
There are specific functions such as a database server-data management system. Then there is one for application running services, and others to handle rest-based object storage (Blob Storage).
Lastly, they offer storage to help perform computations and process events (Functions).
These bundles are all provided free for the first 12 months and then range from $0.002 per GB to about US 0.20c per million executions.
They have a good Partner system to help distinguish and provide support for the best storage package based on one’s immediate needs.
To bolster their growing Marketplace, they recently also purchased a business that deals with OpenSource (GitHub). This enables more freedom for developers to manipulate the software on their platform.
For a comparison of the storage types via Azure and pricing for each, click here.
People have found its pricing a little to steep on the storage side and so keeping market share will be tough. Many new smaller CSPs offering cheaper per GB rates.
They can only counter this by offering more products that require their storage (compatibility-wise).
Some other cumbersome restrictions like users being only able to upload 20 000 files at once or the actual file-size limit might not bode too well with heavy cloud data users.
They also don’t have as many APIs as Google or Amazon does, but these are growing by the day.
Probably the first of the CSP batch that provided cloud computing. It therefore has had the experience of honing ways of storing and retrieving data for larger businesses. International Business Machines (or IBM) can be considered as the grandfather of data storage.
As with the other CSPs, there is a free offering called the “Lite plan” consisting of a single IBM Cloud service instance with storage up to 25 GB/month.
Paid storage is staggered, per consumption and based on complex costing tiers based on location, storage class, and resiliency choice.
Storage charges start from $0.09 for up to 50 GB down to $0.014 for 500+ TB on what they call the Cross-Region Flex plan.
For more insight into the complex costing table, visit the IBM storage pricing page here.
Their security is their biggest pride and strength and makes them a firm favourite for large companies and potentially governmental institutions.
The fact that they do not actively advertise as much as Google or Microsoft is telling. They clearly need to provide high secrecy and protection for their existing clients.
One such feature unique to the way data is stored on their cloud servers is using Information Dispersal Algorithms (IDAs). This helps to separate data in unrecognizable “slices” that are distributed across datacenters.
So basically the complete copy of the data resides in any single storage node, and only a subset of nodes are available in order to fully retrieve the data on the network. This is similar to how peer-to-peer sharing or data encryption works.
And speaking of heavy encryption, they have allegedly recently also started on the Blockchain and are experimenting with a particular Cryptocurrency to enable ease of payments. This in the light of IBM with its Watson platform looking to become more of a cloud-based data operating system.
IBM relies too much on its reputation as a forerunner for tech and cloud-based computing. It has earned that title for several decades before the likes of Google and Amazon barged in.
They might lose out on market share once the newer CSPs start to offer more robust products and compliance services like theirs.
Their high security and complex system come at a premium so designed for or rather restricted to wealthy companies essentially. The hosting option (main server locations) looks limited and restricted to geographical areas primarily in the US and EU.
Be wary of clandestine terminology such as ‘unlimited archiving/storage’ even with a paid subscription. This usually refers to storing data at rest and not the ability to constantly and unlimitedly sync files.
Another salient factor to compare would be the number of files that you can upload or sync at the same time.
This will be relevant for larger companies that need to upload large files and by large, we mean 10 GB files (2 and a half HD DVDs’ worth of content) and upwards.
At the end of the day, your decision to take on a faction in the storage war should be based on your priorities. You simply match it to what each of the companies is offering taking your budget into consideration of course.
You may need to consider running a combination of two or more of them.
Some larger companies offer storage as a “must-have” with hosted email or something as basic as purchasing a new smartphone.
You will, however, have to ask yourself a few more pressing questions around functionality, data security, and compliance before taking it up.
Find out the benefits, how to do PC (VOIP) phone integrations and what is on offer by a top supplier here: Practical CRM & ERP integration tools
Read about what this Fintech / savvy online bank is about and has to offer.
via Your portable ATM
The thought of “servers” and “hosting” are rarely things you consider on a daily basis. If you are not an IT or a software architect, then probably not at all.
For the mentioned professionals, however, these decisions are critical to the operations of a business however large or small.
There is a fine line between how (and where) your software systems are used. This line has become thinner because of evolving cloud technology and automation.
Sourcing and deploying the right IT architecture could therefore help your business stay afloat, or sink without.
The most effective mode of communication in any business (other than verbally or telephonically) is still electronic mail (E-mail).
It is effective because it helps you get a time-stamp and a reference point when it comes to the documentation of your conversations. This is important tool when it comes to your legal obligations and commitments.
Emails are, therefore, something that should not be taken for granted!
We consequently send, receive emails with attachments through various devices. All this without a second thought as to how this happens.
After all, this is the job of the IT-guys, right?
Well quite rightly so. They often clash with their management and board of directors for funds to keep this going without compromising operations. Emails are crucial not only from a daily functional point of view but from security but also the compliance facet.
Your company’s IT infrastructure: Emails; File-servers; Databases (CRMs and ERPs) and other communication tools are commonly managed on-site on systems referred to as ‘on-premise’ solutions.
These are managed by computer-like CPUs that look like the standard boxes that you plug your monitor and keyboards. They, however, have a lot more processing power and storage than your average desktop and are called Servers.
Your servers naturally must be kept cool because of the heat they generate from being on all the time. As you can imagine, built-in fans are far from being enough to cool them off!
There an array of server types. Each of them is designed to run the tasks of your mail exchanges, file storage, and the storing/deploying of remote PC operating systems. Others handle your databases and other dedicated functions.
You would need to have the licensed software to operate each server providing unique services. This makes it quite an expensive outlay if you have all of the abovementioned requirements!
Servers are not irreplaceable and can overheat, get corrupted, or crash like a hard-drive (or a NAS server system). You, therefore, need to be maintain them at a cost to your business via your IT department.
Depending on the amount of data and complexity, the maintenance is outsourced to specialized IT companies or software license providers.
In the early 2000s, ‘the cloud’ or ‘cloud computing’ became a new concept. It is basically a very large set of high-end servers equipped with software to manage all the tasks mentioned above. It is usually offered as a service under a single (monthly or annual) subscription.
So basically, you are renting the service of a server as opposed to owning it. Renting, just like with property or cars, relieves the user of all the costs of maintaining the product in question.
This sort of rental service offered by cloud service providers is now known as Software as a Service (SaaS). This also saves you from purchasing any hardware let alone paying for the extra electricity bill to cool a server room.
According to Quora.com, the main difference between a cloud and a datacenter is that a cloud is an ‘off-premise’ form of computing that stores data on the Internet.
A Datacenter, on the other hand, is an on-premise set of hardware that stores data within an organization’s local network.
As an IT professional, you constantly face the burning question of whether to go for a solution that will relieve you of mundane tasks – like server maintenance. Naturally, you would also want a solution that facilitates the daily administering of user-profiles, data archiving, and backups. But to what costs then?
There are many pros and cons when it comes to the hosting of your company’s data on a local server as opposed to having it run via the cloud. There is also a massive array of choices and bundles between the top cloud service providers.
Cloud service providers have several data centers used as backups. So your email hosting may have several servers in different locations to serve that function. This curbs the risk of your data getting lost, unavailable, or hacked.
Naturally, Datacenters are kept highly secure in undisclosed locations globally. Google is known to have one of its datacenters floating on a massive container ship somewhere over the Atlantic ocean.
Maintaining a server is expensive as you require massive cooling systems. Some smarter companies like Microsoft, are now taking to the deep oceans for that function.
When it comes to email hosting or the storage of your files in the cloud only five large multinational corporations’ names come to mind. Microsoft, Oracle, Google, IBM, and Amazon.
These companies however bear the burden of maintenance, while providing just the service you require on a subscription basis.
Setting up an on-premise solution, in contrast, can be a tedious exercise and an expensive one. This is more applicable to smaller companies that do not have large IT budgets.
Licensing your server is no child’s play either!
Having to decide on costs versus functionality will determine how to license your server. This would be either per-server, per virtual machine needed, or per processor core and then you need CALs). If you don’t believe it, just have a look at this licensing guide!
To illustrate the difference, let’s say you have an outlay of a hundred thousand dollars to acquire the software licenses for three years. This compared to a cloud-hosted package that performs the same function over the same timeframe.
You can then piggy-back off companies like Amazon and Microsoft’s security services, which then costs eight thousand dollars monthly ($96k annually).
So, within three years of using the cloud, you would have reached the $100K cap that would be spent only for licenses. You would have also saved with an extra $188K in additional services.
This is a portion of what you would have been spent on maintenance, technical support, security, upgrades, and updates.
These figures are rudimentary, but the long-term savings are noticeable as cloud service providers tend to provide value-add solutions when pricing their bundles.
Microsoft recently launched its Microsoft 365 package which includes an upgrade to the latest operating system (Windows 10 Professional or Enterprise). This is something you would have had to source and pay for separately.
Software deployment and the administration of user accounts is cloud-based. This means you can do this conveniently and remotely from your PC, laptop, tablet, or even your smartphone!
This means as an IT professional, you will now have more time to oversee more important issues like data security and overall IT policies. Better yet, you would have the time to investigate ways to automate and improve your systems.
This is possible without the inconvenience of running from PC-to-PC to install operating systems, Office software, or manage mailboxes.
Remote desktop services of an on-premise server were a step in this direction – but are a pain to set up. So, you can view the cloud as an evolution of remote-desktop services.
The only (and potential) hindrance to using cloud services naturally would be the availability of good and cheap broadband (Internet connectivity).
Without both, the justification for running your business fully on the cloud would not stick. Some businesses, especially in developing countries, go endure desperates attempts to adopt the cloud.
They use what is known as hybrid-systems: a combination of cloud and on-premise solutions.
If you operate in a country without forward-thinking government officials that facilitate broadband availability, you will suffer the most.
Like an old, car, outdated hardware and software can lead to costly services (out-of-date and warranty solutions). This leads to you having heftier maintenance fees and support costs by third-party IT professionals.
The old rhetoric of ‘not trusting the cloud’ is now one of the past. Cloud services often outperform on-premise solutions when it comes to high-end security software and data protection. This is because of the obvious economies of scale involved in setting up expensive security software.
The level of security has to be the digital equivalent of Fort Knox. This especially if you are dealing with sensitive data such as financial, legal services, healthcare, and educational institutions.
Your company would need a system that will keep all such data secure and data compliant.
Data is now treated as a commodity. There is now a subsequent need to trade and value it. We now have Blockchain-based solutions like IOTA to facilitate your payments. This while keeping data encrypted, decentralized, and safe.
In the advent of the new GDPR laws, some companies will still opt to keep and maintain their servers internally. By doing this, however, you might lack the transparency and tools needed to show your consumers how you handle their sensitve data.
As much as institutions, risk-averse, or simply skeptical people have downplayed the new digital currency revolution. It still, a decade after coming to public light, remains resilient.
Bitcoin now gets a regular mention in daily news and stock market reports. It is being traded by several established investors and even included by fund managers as high-risk portfolio instruments.
We all by now, have heard the rhetoric of high volatility and use for criminal activity when it comes to Bitcoin and its crypto-family.
Billionaires Warren Buffet and Bill Gates also weighed into this by publicly lambasting Bitcoin. Buffet equated cryptocurrency to rat poison 🙂
Be it may, digital currency, however, does have some unbeatable benefits and functions you cannot ignore.
Bitcoin and ‘altcoin’ investing have created a new wave of financial investors.
These include retired bankers, ‘millennials’ – who instinctively jump on-board a new discovery that has creative destruction-like tendencies. You also have the plumber, bartender, or ‘average man on the street’ looking to change their lifestyles instantaneously.
Based on their phenomenal returns, many people have taken to social media (via groups, profiles, and communities) to share their success stories. But this is also a reason to for you to heed caution when you take counsel from anyone claiming to be an expert in cryptocurrency investment.
Volatility is not new to trading – and especially not with Crypto trading. It is constantly on a rollercoaster ride making it hard for even seasoned trading experts to predict movements with traditional market analysis tools.
We all have undergone the painful stress of waiting for funds to clear so your rent gets paid or waiting endlessly to receive money from abroad.
With cryptocurrency, the aim is to be not only the most secure form of funds transfer – but the fastest.
Converting cryptocurrency to fiat money, however, remains a bottleneck. It still needs institutions to adopt or directly accept payments in cryptocurrency to avoid you going through another step in order to transact.
Cryptocurrencies still cut down transfer time significantly compared to traditional electronic fund transfers of fiat money.
Some well-established companies already use Cryptocurrencies like Bitcoin, and Litecoin for fund transfers, or even direct exchange for services.
We cannot ignore the reduced costs associated with dealing with money you have (hopefully) earned from hard work.
Even inheritances are gained because of the toils of the giver’s hard work. So, it wouldn’t be fair for a group of a few companies headed by executives to siphon it from you while claiming to ‘provide you with a service’.
We all pay for Internet use (and the security software associated), for smartphones and computers.
We, therefore, have the technology to make transactions ourselves without having to rely on others to charge us for things we can do ourselves.
The financial institutions have long preyed on your ignorance, obedience, and unquestioning trust. This, while they brazenly burn cash dabbling in equally questionable high-risk investments like derivatives and futures.
Cryptocurrencies have nevertheless, got us thinking about making profits, the tax implications, and anything financial for that matter!
A recent development called Hodl Waves attempts to track and predict Bitcoin movements via complex usage history. It basically compares behavioural patterns of what you do when you have coins and when you choose to reinvest them.
Blockchain technology has also spurred a new path of careers and industries. More companies globally are looking to acquire lucrative Crypto-exchange licenses to operate.
These cryptocurrency exchanges require people to service clients in various areas. They will require employees as any company would.
Governments too will benefit from their operations. While there are still discrepancies in most countries about how to tax you, authorities can get a lion’s share from directly taxing exchanges.
It is only a matter a time before the banking institutions and big companies get on board to benefit from the high-level encryption and speed provided by digital currency.
To conclude, the ‘wait and see’ mantra is all that we can exercise when predicting the future of digital currency.
There are, however, concerns on how secure the encryption can remain with the advent of quantum computing. This ground-breaking tech can make calculations at millions of speeds faster and thus able to crack the toughest data encryption.
It is only fair to, therefore, delve in and break it down by discussing not just the way to trade, but the whole point of it.
While trading may seem like something only smart people engage in, this is, however, not the case.
The first thing to understand is that shares (referred to as stocks) entitle the holder to have part ownership in a company.
So, if you own a share in, Amazon, Manchester United, or a Cryptocurrency company like Ripple – you literally OWN a part of that company.
You are basically co-owning with other stakeholders of the company. This with the hopes that the people who run it will increase the monetary value of your shareholding by making the company a success.
Now your share will determine what level of control (decision-making) you have when it comes to the company’s operations.
Naturally, owning just one, ten, or even 1000 shares of Amazon (a hefty $1400 each today), still does not entitle you to have a say in how it is run.
As the majority shareholder, you would probably be the company owner (chairman/founder) or one of its board of directors. To gain such a majority shareholding and full control of a company, the minimum number of shares you would need would be 51% of all shares issued. Good luck obtaining that many!
But let’s take a further step back and unravel why shares are issued in the first place. Your company (hopefully) has value because of its ability to generate revenue. This makes it a constant target for investors in a capitalistic market. Wealthy individuals carefully monitor its value to brace for a potential takeover or for just a piece of the pie.
To get listed on a stock exchange your company will decide how much of its equity to publicly issue as shares. You can even issue shares to raise more capital to help grow your business.
This form of equity will be backed against your total assets (and its debts) on the balance sheet. So hypothetically, a company with 100 Euros worth of assets and liabilities has 100 Euros worth of (owners) equity.
This basically enables you to determine its net worth at a given point in time.
The easiest way to remember this is through this basic accountant’s formula:
Total Owner’s Equity (OE) = Assets (A) + liabilities (L).
The shares are accounted for in the OE and are issued in denominations based on various factors. This helps to provide you with an indication of the relative strength (or weakness), or potential growth rate of the company.
The (snapshot) total value of the company is thus determined by its share price multiplied by total number issued. This is referred to as its market capitalization. There are several other measures and tools to evaluate the general health of a company.
Rising share prices, though always good, does not always necessarily mean that the company is great value for money. This is because share prices can also be undervalued or overvalued.
Shares for large companies are naturally offered in millions and via an initial public offering (IPO) from as little as one cent (penny stock), or much more (depending on its valuation). Thereon, it can rise astronomically to what was quoted for Amazon earlier.
The open market or local bourse is where you can buy and sell shares at specific times depending on side of the world it is located.
Obtaining shares come with additional costs (brokerage fees, commission, interest payments in cases of leverage buying, etc.). Depending on the terms and conditions in the overall market (regulations), but more specifically, on the company or broker offering you access to shares.
A good company share will also give you a return on an annual dividend. This is basically a share of the company’s profits over and above its share price.
It is a good idea to include high dividend-yielding shares like Coca-Cola, in your trading portfolio – if you can afford them.
Once you purchase your stake in the company, you will naturally, even if you don’t have a controlling say in how the company is operated, take a keen interest in the company’s activities.
Everything it does whether internal operations or outside for that matter, will have an impact on its valuation.
Naturally, investors follow the age-long rule of common sense: buy when the price is low. If you missed the IPO and the price dips, you can always get in at a good (low) price. The stock market runs like a rollercoaster – you just need the right time to hop on!
“Unless a company goes belly-up, a share-stock price that is going down is actually going up – in the long run.”
Obviously, the price (trend) is not always upward and one must be prepared to weather such storms. You shouldn’t have to be continuously focusing on the price after thorough due diligence on your chosen company.
Read more about Due Diligence here
Choosing a good stock and leaving it to work is the best advice you will get. This is because you can become emotionally attached to the performance of the shares and that can affect your mood.
There are also a lot of trading tools to help prevent a total meltdown if the company folds-up. This can be due to external factors like fraudulent scandals or government intervention. Keep tags now and then – this is important.
The recent events and scandal faced by Facebook saw it lose a significant amount (billions of dollars) in it the value of its share price.
Read more about investing here.
There are also ways to “have your bread buttered both ways” in investing. This is where the concept of short-selling comes in.
So, while we all inclined to bet on a company’s stock to go up – there are groups of investors who bet the other way. They have the hopes (based on indicators) that the price will rather drop.
This seemingly dubious form of trading is perfectly legit but comes, naturally, with an even higher level of risk. If the price increases in favour of all ‘normal’ long-term investors – the short position starts losing money. You may even have to fork out more to cover the amount borrowed to make the short-sell in the first place.
Short-selling is, therefore, if you are inexperienced and ill-informed!
So, you “buy” or rather borrow (leverage) the future value of the share/stock price usually at its apparent peak and hope that it will drop. You will continue to profit from the bet by as much as the share price continues to drop.
Earlier in the year, one such investor dubbed “50 Cent” bagged 200-million-dollars in a major shorting stint.
Shorting a stock is a complex, risky but highly lucrative method of balancing out a portfolio. A seasoned trader will, therefore, have several positions including some “buy” and “sell” positions on their chosen shares.
You should have various mechanisms (take profits and stop losses) set in place to execute their trades based on those positions.
Naturally, you wouldn’t just short a stock if you didn’t know something about what factors were to lead to a sharp/large drop in the share price.
But getting this right is often an exercise that straddles a fine line between being well-informed and intuitive and blatant insider trading.
So, in summary, shareholding generally occurs when you acquire a stake in a business. You can own intellectual capital, founding rights, or be s a funder/seed investor to help start the business.
So why do companies issue out shares to the public again you might still ask?
Think of share listing as a way for your company to hold itself publicly accountable. is the ultimate branding weaponry in its arsenal and quest to exponentially increase its profits.
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