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AI will power IoT

When technology paints the future in the colours of AI and IoT, it is an artwork of elegant sufficiency, says PHATHIZWE MALINGA, managing director of SqwidNet.

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A simple gesture. A world built from accessible assets that drive human convenience and interaction. This is the future that’s powered by the Internet of Things (IoT) and artificial intelligence (AI), two of the planet’s hottest topic trends right now for a very good reason. They work. They are also the fuel driving digital transformation in 2019. These are the technologies revolutionising performance, process and productivity. They are also transforming industry challenges across agriculture, retail, health and the public sector and are set to continue on this path well into 2019.

IoT has become the central nervous system of technology, allowing users to make intelligent decisions without feeling overwhelmed by choice or technology. Its ability to make life easier on every level – business, consumer, public sector – is the next step of the IoT evolution as it improves quality of life using AI and machine learning to analyse past behaviour and the insights it gleans to change the future.

This is the vision of the perfect IoT and AI future. The two technologies so intertwined and connected that they are influencing one another’s growth, development and adoption. IoT provides the ability to generate data from the changing circumstances of an asset and the infrastructure required to transport that data to where it can be accessed and analysed. Considering the sheer volume of data generated, it is impossible for a human being to analyse it at the speed required for real-time decision making. And this is why AI has become so important.

Today, it is possible to write code that can read the data generated by IoT and identify meaningful patterns at the right speed. This code can also be written in such a way that it can learn from the results it found the last time it ran. It is code that can learn, an algorithm that can self-educate. In this way, AI requires the power of IoT to generate the data it needs to learn and IoT needs AI to ensure that this data can be made meaningful, in time.

Over the next six to 12 months, it is very likely that the potential of IoT will see numerous small players emerge across all industries. They will be focused on servicing those who have yet to experience the full benefits of IoT and they will use technology to deliver solutions that are just ‘good enough’. This could potentially see the more established players being disrupted but most will likely be using the same technology to innovate and to create solutions that don’t just meet customer expectations but transcend them.  Of course, there will be some companies that will remain complacent and they will be the ones battling for customer attention out on the IoT playing field with the small, fresh players.

While on the topic of the customer, the next year is likely to introduce a lot more variety and scalability. The consistent drop in the cost of technology will allow for more choice in solution and capability and this will have a knock-on effect with regards to quality of life and the choices customers make when it comes to solution and service provider.

On the business frontier, the growth of IoT and AI offer an interesting bouquet of choices and opportunities. They allow for investment into solutions that generate better insights that, in turn, generate better products and services. Organisations that ignore this potential or think they can sidle on past what IoT and AI bring to the business are likely to be the ones that are left behind. It’s a cliché for a reason. A single look back at the companies that have emerged as big players in industries previously perceived as impenetrable proves the point. Innovation isn’t optional, it’s an essential part of business DNA and both IoT and AI are critical parts of the ability to innovate at speed, with relevance, and on time.

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How to rob a bank in the 21st century

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In the early 1980s, South Africans were gripped by tales of the most infamous bank robbery gangs the country had ever known: The Stander Gang. The gang would boldly walk into banks, brandishing weapons, demand cash and simply disappear. These days, a criminal doesn’t even have to be in the same country as the bank he or she intends to rob. Cyber criminals are quite capable of emptying bank accounts without even stepping out of their own homes.

As we become more and more aware of cybersecurity and the breaches that can occur, we’ve become more vigilant. Criminals, however, are still going to follow the money and even though security may be beefed up in many organisations, hackers are going to go for the weakest links. This makes it quintessential for consumers and enterprises to stay one step ahead of the game.

“Not only do these cyber bank criminals get away with the cash, they also end up damaging an organisation’s reputation and the integrity of its infrastructure,” says Indi Siriniwasa, Vice President of Trend Micro, Sub-Saharan Africa. “And sometimes, these breaches mean they get away with more than just cash – they can make off with data and personal information as well.”

Because the cyber criminals operate outside bricks and mortar, going for the cash register or robbing the customers is not where their misdeeds end. Bank employees – from the tellers to the CEO – are all fair game.

But how do they do it? Taking money out of an account is not the only way to steal money. Cyber criminals can zero in on the bank’s infrastructure, or hack into payment systems and even payment documents. Part of a successful operation for them may also include hacking into telecommunications to gain access to one-time pins or mobile networks.

“It’s not just about hacking,” says Siriniwasa.. “It’s also about the hackers trying to get an ‘inside man’ in the bank who could help them or even using a person’s personal details to get a new SIM so that they can have access to OTPs. Of course, they also use the tried and tested method of phishing which continues to be exceptionally effective – despite the education in the market to thwart it.”

The amounts of malware and available attacks to gain access to bank funds is strikingly vast and varies from using web injection script, social engineering and even targeting internal networks as well as points of sale systems. If there is an internet connection and a system you can be assured that there is a cybercriminal trying to crack it. The impact on the bank itself is also massive, with reputations left in tatters and customers moving their business elsewhere.

“We see that cyber criminals use multi-faceted attacks,” says Siriniwasa. “This means that we need to come at security from multiple angles as well. Every single layer of an organisation’s online perimeter need to be secured. Threat isolation is exceptionally important and having security with intrusion protection is vital. Again, vigilance on the part of staff and customers also goes a long way to preventing attacks. These criminals might not carry guns like Andre Stander and his gang, but they are just as dangerous – in fact – probably more so.”

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Beaten by big data? AI is the answer

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by ZAKES SOCIKWA, cloud big data and analytics lead at Oracle

In 2019, it’sestimated we’ll generate more data than we did in the previous 5,000 years. Data is fast becoming the most valuable asset of any modern organisation, and while most have access to their internal data, they continue to experience challenges in deriving maximum value through being able to effectively monetise the information that they hold.

The foundation of any analytics or Business Intelligence (BI) reporting capability is an efficient data collection system that ensures events/transactions are properly recorded, captured, processed and stored. Some of this information on its own might not provide any valuable insights, but if it is analysed together with other sources might yield interesting patterns.

Big data opens up possibilities of enhancing internal sources with unstructured data and information from Internet of Things (IoT) devices. Furthermore, as we move to a digital age, more businesses are implementing customer experience solutions and there is a growing need for them to improve their service and personalise customer engagements.

The digital behaviour of customers, such as social media postings and the networks or platforms they engage with, further provides valuable information for data collection. Information gathering methods are being expanded to accommodate all types and formats of data, including images, videos, and more.

In the past, BI and Data Mining were left to highly technical and analytical individuals, but the introduction of data visualisation tools is democratising the analytics world. However, business users and report consumers often do not have a clear understanding of what they need or what is possible.

AI now embedded into day to day applications

To this end, artificial intelligence (AI) is finishing what business intelligence started. By gathering, contextualising, understanding, and acting on huge quantities of data, AI has given rise to a new breed of applications – one that’s continuously improving and adapting to the conditions around it. The more data that is available for the analysis, the better is the quality of the outcomes or predictions.

In addition, AI changes the productivity equation for many jobs by automating activities and adapting current jobs to solve more complex and time-consuming problems, from recruiters being able to source better candidates faster to financial analysts eliminating manual error-prone reporting.

This type of automation will not replace all jobs but will invent new ones. This enables businesses to reduce the time to complete tasks and the costs of maintenance, and will lead to the creation of higher-value jobs and new engagement models. Oracle predicts that by 2025, the productivity gains delivered by AI, emerging technologies, and augmented experiences could double compared to today’s operations.

According to the IDC, worldwide revenues for big data and business analytics (BDA) solutions was expected to total $166 billion in 2018, and forecast to reach $260 billion in 2022, with a compound annual growth rate of 11.9% over the 2017-2022 forecast period. It adds that two of the fastest growing BDA technology categories will be Cognitive/AI Software Platforms (36.5% CAGR) and Non-relational Analytic Data Stores (30.3% CAGR)¹.

Informed decisions, now and in the future

As new layers of technology are introduced and more complex data sources are added to the ecosystem, the need for a tightly integrated technology stack becomes a challenge. It is advisable to choose your technology components very carefully and always have the end state in mind.

More development on emerging technologies such as blockchain, AI, IoT, virtual reality and others will probably be available on cloud first before coming on premise. For those organisations that are adopting public cloud, there are opportunities to consume the benefits of public cloud and drive down costs of doing business.

While the introduction of public cloud is posing a challenge on data sovereignty and other regulations, technology providers such as Oracle have developed a ‘Cloud at Customer’ model that provides the full benefits of public cloud – but located on premise, within an organisation’s own data centre.

The best organisations will innovate and optimise faster than the rest. Best decisions must be made around choice of technology, business processes, integration and architectures that are fit for business. In the information marketplace, speed and informed decision making will be key differentiators amongst competitors.

¹ IDC Press Release, Revenues for Big Data and Business Analytics Solutions Forecast to Reach $260 Billion in 2022, Led by the Banking and Manufacturing Industries, According to IDC, 15 August 2018

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