Executives are ever vigilant in finding ways to cut costs and increase efficiencies. In their quest, they have realised that decommissioned IT assets are an unnecessary cost and have potential economic value.|Executives are ever vigilant in finding ways to cut costs and increase efficiencies. In their quest, they have realised that decommissioned IT assets are an unnecessary cost and have potential economic value.
The influx of new technology creates a corresponding and often overlooked increase in decommissioned IT assets. As a result, outdated PCs, monitors, and other IT equipment tend to quietly pile up in storage. These rapidly depreciating, aged assets can pack a major financial punch.
Xperien CEO Wale Arewa says IT Asset Disposal (ITAD) presents unique challenges and potential costs that companies seldom consider. “Very few companies understand the principles of IT asset disposal and more often, cost is a driver of the fragmented approach to refreshing old assets. This can range from auctions and staff sales, to scrapping storeroom bound computers without proper consideration for data protection or the elimination of data from old computers.”
He says an ideal system should start with a policy to close the last mile of the IT hardware lifecycle. “This is often overlooked due to budgetary constraints and is common practice amongst IT service providers and their clients – the legacy of the disposal methods used prior to the introduction of the data protection laws.”
Company executives need to consider regulatory compliance, cost and more importantly, the protection of company information. IT disposal challenges facing companies in today’s environment include legislative requirements, compliance to Protection of Personal Information Act 2013 (PoPI 2013), the National Environmental Waste Management Act 2008 (NEMWA 2008) and the Consumer Protection Act 68 of 2008 (CPA).
Arewa says the biggest potential cost is the effect of data loss that may lead to reputation damage. “There are several components to the disposal cost including the cost of space the asset continues to occupy if it is not disposed of, the cost to process the disposal, and the opportunity cost of foregone residual value.”
Basic in-house disposal management costs could include administrative tasks (inventory, forms, accounting, etc.); backing up and sanitising hard drives; storage costs; packing and shipping; and disposal management fees.
Aberdeen research says that any organisation annually removing as few as 3 000 PCs can save $1 million (about R13-million) per year in unnecessary storage and disposal costs by implementing an effective asset disposition program.
“The value proposition of a well-executed IT asset disposition program will be compelling to organisations of all sizes. However, the opportunity to sell an IT asset in the used equipment market evaporates when the asset’s value drops below the cost of disposal,” he concludes.
Smart home arrives in SA
The smart home is no longer a distant vision confined to advanced economies, writes ARTHUR GOLDSTUCK.
The smart home is a wonderful vision for controlling every aspect of one’s living environment via remote control, apps and sensors. But, because it is both complex and expensive, there has been little appetite for it in South Africa.
The two main routes for smart home installation are both fraught with peril – financial and technical.
The first is to call on a specialist installation company. Surprisingly, there are many in South Africa. Google “smart home” +”South Africa”, and thousands of results appear. The problem is that, because the industry is so new, few have built up solid track records and reputations. Costs vary wildly, few standards exist, and the cost of after-sales service will turn out to be more important than the upfront price.
The second route is to assemble the components of a smart home, and attempt self-installation. For the non-technical, this is often a non-starter. Not only does one need a fairly good knowledge of Wi-Fi configuration, but also a broad understanding of the Internet of Things (IoT) – the ability for devices to sense their environment, connect to each other, and share information.
The good news, though, is that it is getting easier and more cost effective all the time.
My first efforts in this direction started a few years ago with finding smart plugs on Amazon.com. These are power adaptors that turn regular sockets into “smart sockets” by adding Wi-Fi and an on-off switch, among other. A smart lightbulb was sourced from Gearbest in China. At the time, these were the cheapest and most basic elements for a starter smart home environment.
Via a smartphone app, the light could be switched on from the other side of the world. It sounds trivial and silly, but on such basic functions the future is slowly built.
Fast forward a year or two, and these components are available from hundreds of outlets, they have plummeted in cost, and the range of options is bewildering. That, of course, makes the quest even more bewildering. Who can be trusted for quality, fulfilment and after-sales support? Which products will be obsolete in the next year or two as technology advances even more rapidly?
These are some of the challenges that a leading South African technology distributor, Syntech, decided to address in adding smart home products to its portfolio. It selected LifeSmart, a global brand with proven expertise in both IoT and smart home products.
Equally significantly, LifeSmart combines IoT with artificial intelligence and machine learning, meaning that the devices “learn” the best ways of connecting, sharing and integrating new elements. Because they all fall under the same brand, they are designed to integrate with the LifeSmart app, which is available for Android and iOS phones, as well as Android TV.
Click here to read about how LifeSmart makes installing smart home devices easier.
Matrics must prepare for AI
By Vian Chinner, CEO and founder of Xineoh.
Many in the matric class of 2018 are currently weighing up their options for the future. With the country’s high unemployment rate casting a shadow on their opportunities, these future jobseekers have been encouraged to look into which skills are required by the market, tailoring their occupational training to align with demand and thereby improving their chances of finding a job, writes Vian Chinner – a South African innovator, data scientist and CEO of the machine learning company specialising in consumer behaviour prediction, Xineoh.
With rapid innovation and development in the field of artificial intelligence (AI), all careers – including high-demand professions like engineers, teachers and electricians – will look significantly different in the years to come.
Notably, the third wave of internet connectivity, whereby our physical world begins to merge with that of the internet, is upon us. This is evident in how widespread AI is being implemented across industries as well as in our homes with the use of automation solutions and bots like Siri, Google Assistant, Alexa and Microsoft’s Cortana. So much data is collected from the physical world every day and AI makes sense of it all.
Not only do new industries related to technology like AI open new career paths, such as those specialising in data science, but it will also modify those which already exist.
So, what should matriculants be considering when deciding what route to take?
For highly academic individuals, who are exceptionally strong in mathematics, data science is definitely the way to go. There is, and will continue to be, massive demand internationally as well as locally, with Element-AI noting that there are only between 0 and 100 data scientists in South Africa, with the true number being closer to 0.
In terms of getting a foot in the door to become a successful data scientist, practical experience, working with an AI-focused business, is essential. Students should consider getting an internship while they are studying or going straight into an internship, learning on the job and taking specialist online courses from institutions like Stanford University and MIT as they go.
This career path is, however, limited to the highly academic and mathematically gifted, but the technology is inevitably going to overlap with all other professions and so, those who are looking to begin their careers should take note of which skills will be in demand in future, versus which will be made redundant by AI.
In the next few years, technicians who are able to install and maintain new technology will be highly sought after. On the other hand, many entry level jobs will likely be taken care of by AI – from the slicing and dicing currently done by assistant chefs, to the laying of bricks by labourers in the building sector.
As a rule, students should be looking at the skills required for the job one step up from an entry level position and working towards developing these. Those training to be journalists, for instance, should work towards the skill level of an editor and a bookkeeping trainee, the role of financial consultant.
This also means that new workforce entrants should be prepared to walk into a more demanding role, with more responsibility, than perhaps previously anticipated and that the country’s education and training system should adapt to the shift in required skills.
The matric classes of 2018 have completed their schooling in the information age and we should be equipping them, and future generations, for the future market – AI is central to this.