The next wave of digital technologies like chatbots and augmented reality are on their way and the promise to change our lives as dramatically as the smartphone did, says ERNST WITTMANN, Regional Manager – Southern and East Africa at TCL
We’re seeing technologies such as chatbots, augmented reality and video that has transformed the way we use our mobile devices. Here are a few of the mobile and digital trends that are likely to unfold during 2018.
- Artificial Intelligence and chatbots
Artificial intelligence and chatbots will continue to mature next year, making it easier than ever for people to interact with technology and to carry out complex tasks. Powered by machine learning (computer systems that learn from experience without being programmed) and Artificial Intelligence, natural language processing allows us to speak or type to computers in our usual sentences, simplifying our interface with devices and apps.
Robo-advisors are already a hot trend in financial services—these are smart bots that give wealth management advice on a website or mobile app. Gartner forecasts that such chatbots will power 85% of all customer service interactions by 2020. Virtual assistants that live on your smartphone are also becoming increasingly popular. One example is Google Assistant, which lets you ask for directions to the nearest Chinese restaurant, send messages, check appointments, and so on, using your voice.
We’ll use voice recognition and chatbots for applications as diverse as seeking technical support for a new washing machine to making a mortgage application to seeking investment advice. And virtual assistants on mobile phones will become ever more powerful and allow us to automate more tasks. For example, what if Google Assistant could not only tell you where the Chinese restaurant is, but also make a booking for you?
- Augmented and virtual reality
IDC forecasts that global spending on augmented and virtual reality (AR/VR) will nearly double from $9.1 billion in 2017 to $17.8 billion next year. AR/VR traffic on the Internet will increase 20-fold between 2016 and 2021, according to Cisco. Both technologies have been around in some form for several years, but companies have struggled to find practical uses for them.
When it comes to consumer VR, the technology remains expensive and gaming dominates the landscape. Consumers today need to buy expensive, dedicated hardware to get a true VR experience. Prices of this equipment are likely to fall in 2018, while smartphone VR headsets will also get cheaper and better. Apps will become more diverse—we’ll see a healthy mix of educational, simulation, virtual tourism and entertainment applications come to market.
AR captures the world through a mobile device camera and puts a digital overlay on the video and image the user sees on the display. Applications are numerous—from seeing how furniture you’re browsing on a retailer’s website might look in your lounge to providing labels and information about the parts in your car when you’re trying to find out why it won’t start in the morning.
In 2018, the technology looks set to build on the popularity of crazes such as the Pokemon Go AR game a couple of years back, and AR lenses for Snapchat. Cool apps are starting to come to market—there’s a great AR feature in the Google Translate app that lets you point your camera at text in a foreign language (a street sign, for example) and view the translation on your display.
We can expect to see great strides in 2018, for applications ranging from marketing to corporate learning and training. Google’s ARCore tools for building AR apps for Android will help fuel growth—every Android smartphone beyond Nougat with a camera is essentially ready for advanced AR apps. ARCore is a platform that simplifies the development of augmented reality apps on Android. It uses:
· Motion tracking to understand and track the phone’s position relative to the world.
· Environmental understanding to detect the size and location of flat horizontal surfaces like the ground or a coffee table.
· Light estimation allows the phone to estimate the environment’s current lighting conditions.
- The Internet of Things
Gartner estimates that there are more than 8.4 billion “Things” available on the internet today, up more than 30% from a year ago. Sensors and devices are taking over in smart homes, cities, offices, cars and factories, ranging from control instrumentation to streetlights to smoke detectors. These devices can monitor themselves and the environment around them (temperature or GPS location, for example), and share this data with other devices and services.
They can use this data to automate actions—for example, a shelf sensor could request inventory when stock is running out—and provide humans with real-time data for better decision-making—for example, a shop floor manager can get info about machine uptime and potential maintenance issues in a factory. This enables companies to drive down operational costs and improve productivity.
- Visual search
This trend is closely related to the growing maturity of technologies such as image recognition. With visual search, you simply point your smartphone’s camera at a work of art, a building, a household appliance or even a part for your car. The visual search app will be able to identify the object, and possibly even direct you to sites where you can purchase it online if it’s for sale or find more information.
Google is currently trialling visual search in its Google Lens feature. Pinterest also has a similar feature called Pinterest Lens, and Amazon’s CamFind can helps shoppers locate a real-world item in Amazon’s inventory by snapping a photo.
- More and more video
People will increasingly watch more video content online—especially on their mobile devices—in the years to come. Cisco’s research indicates that IP video traffic will be 82% of all consumer Internet traffic by 2021, partly driven by a doubling of video-on-demand traffic between 2016 and 2021. Live Internet video will enjoy especially strong growth, growing 15-fold from 2016 to 2021 and accounting for 13% of Internet video traffic by 2021.
Social media networks such as Facebook, YouTube and Instagram have all launched live streaming video, and adoption is rapidly growing among consumers and brands alike. People are beginning to share experiences such as concerts and holidays in real-time with their friends and families; companies are likely to use live video to supplement brand activations, for virtual launch parties and even candid behind-the-scenes looks at their offices and factories.
IoT at starting gate
South Africa is already past the Internet of Things (IoT) hype cycle and well into the mainstream, writes MARK WALKER, associate vice president of Sub-Saharan Africa at International Data Corporation (IDC).
Projects and pilots are already becoming a commercial reality, tying neatly into the 2017 IDC prediction that 2018 would be the year when the local market took IoT mainstream. Over the next 12-18 months, it is anticipated that IoT implementations will continue to rise in both scope and popularity. Already 23% are in full deployment with 39% in the pilot phase. The value of IoT has been systematically proven and yet its reputation remains tenuous – more than 5% of companies are reluctant to put their money where the trend is – thanks to the shifting sands of IoT perception and success rate.
There are several reasons behind why IoT implementations are failing. The biggest is that organisations don’t know where to start. They know that IoT is something they can harness today and that it can be used to shift outdated modalities and operations. They are aware of the benefits and the case studies. What they don’t know is how to apply this knowledge to their own journey so their IoT story isn’t one of overbearing complexity and rising costs.
Another stumbling block is perception. Yes, there is the futuristic potential with the talking fridge and intelligent desk, but this is not where the real value lies. Organisations are overlooking the challenges that can be solved by realistic IoT, the banal and the boring solutions that leverage systems to deliver on business priorities. IoT’s potential sits within its ability to get the best out of assets and production efficiencies, solving problems in automation, security, and environment.
In addition to this, there is a lack of clarity around return on investment, uncertainty around the benefits, a lack of executive leadership, and concerns around security and the complexities of regulation. Because IoT is an emerging technology there remains a limited awareness of the true extent of its value proposition and yet 66% of organisations are confident that this value exists.
This percentage poses both a problem and opportunity. On one hand, it showcases the local shift in thinking towards IoT as a technology worth investing into. On the other hand, many companies are seeing the competition invest and leaping blindly in the wrong direction. Stop. IoT is not the same for every business.
It is essential that every company makes its own case for IoT based on its needs and outcomes. Does agriculture have the same challenges as mining? Does one mining company have the same challenges as another? The answer is no. Organisations that want their IoT investment to succeed must reject the idea that they can pick up where another has left off. IoT must be relevant to the business outcome that it needs to achieve. While some use cases may apply to most industries based on specific circumstances, there are different realities and priorities that will demand a different approach and starting point.
Ask – what is the business problem right now and how can technology be leveraged to resolve it?
In the agriculture space, there is a need to improve crop yields and livestock management, improve farm productivity and implement environmental monitoring. In the construction and mining industry, safety and emergency response are a priority alongside workforce and production management. Education shifts the lens towards improving delivery and quality of education, access to advanced learning methods and reducing the costs of learning. Smart cities want to improve traffic and efficiently deliver public services and healthcare is focusing on wellness, reducing hospital admissions and the security of assets and inventory management.
The technology and solutions selected must speak to these specific challenges.
If there are no insights used to create an IoT solution, it’s the equivalent of having the fastest Ferrari on Rivonia Road in peak traffic. It makes a fantastic noise, but it isn’t going to move any faster than the broken-down sedan in the next lane. Everyone will be impressed with the Ferrari, but the amount of power and the size of the investment mean nothing. It’s in the wrong place.
What differentiates the IoT successes is how a company leverages data to deliver meaningful value-added predictions and actions for personalised efficiencies, convenience, and improved industry processes. To move forward the organisation needs to focus on the business outcomes and not just the technology. They need to localise and adapt by applying context to the problem that’s being solved and explore innovation through partnerships and experimentation.
ERP underpins food tracking
The food traceability market is expected to reach almost $20 billion by 2022 as increased consumer awareness, strict governance requirements, and advances in technology are resulting in growing standardisation of the segment, says STUART SCANLON, managing director of epic ERP
Just like any data-driven environment, one of the biggest enablers of this is integrated enterprise resource planning (ERP) solutions.
As the name suggests, traceability is the ability to track something through all stages of production, processing, and distribution. When it comes to the food industry, traceability must also enable stakeholders to identify the source of all food inputs that can include anything from raw materials, additives, ingredients, and packaging.
Considering the wealth of data that all these facets generate, it is hardly surprising that systems and processes need to be put in place to manage, analyse, and provide actionable insights. With traceability enabling corrective measures to be taken (think product recalls), having an efficient system is often the difference between life or death when it comes to public health risks.
Sceptics argue that traceability simply requires an extensive data warehouse to be done correctly, the reality is quite different. Yes, there are standard data records to be managed, but the real value lies in how all these components are tied together.
ERP provides the digital glue to enable this. With each stakeholder audience requiring different aspects of traceability (and compliance), it is essential for the producer, distributor, and every other organisation in the supply chain, to manage this effectively in a standardised manner.
With so many different companies involved in the food cycle, many using their own, proprietary systems, just consider the complexity of trying to manage traceability. Organisations must not only contend with local challenges, but global ones as well as the import and export of food are big business drivers.
So, even though traceability is vital to keep track of everything in this complex cycle, it is also imperative to monitor the ingredients and factories where items are produced. Having expansive solutions that must track the entire process from ‘cradle to grave’ is an imperative. Not only is this vital from a safety perspective, but from cost and reputational management aspects as well. Just think of the recent listeriosis issue in South Africa and the impact it has had on all parties in that supply chain.
Thanks to the increasing digital transformation efforts by companies in the food industry, traceability becomes a more effective process. It is no longer a case of using on-premise solutions that can be compromised but having hosted ones that provide more effective fail-safes.
In a market segment that requires strict compliance and regulatory requirements to be met, cloud-based solutions can provide everyone in the supply chain with a more secure (and tamper-resistant) solution than many of the legacy approaches of old.
This is not to say ERP requires the one or the other. Instead, there needs to be a transition provided between the two scenarios that empowers those in the food supply chain to maximise the insights (and benefits) derived from traceability.
Now, more than ever, traceability is a business priority. Having the correct foundation through effective ERP is essential if a business can manage its growth and meet legislative requirements into the future.