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Cyber intelligence reveals #FeesMustFall agenda

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Cyber intelligence and analytics specialist, Snode, recently used its tools to analyse the #FeesMustFall protest and delve deeper within Twitter, offering enriched insight beyond 140 characters.

Social media platforms such as Twitter may be divisive, but its significance cannot be overlooked. Cyber intelligence and analytics specialist, Snode, believes the potential applications for social media are yet to be fully realised. “As a source of intelligence, Twitter is a valuable source of intelligence and it should be utilised by business and law enforcement. It is an open-source data-rich platform and needs to be leveraged in the best way possible,” notes CIO and co-founder of Snode, Nithen Naidoo.

Using the recent #FeesMustFall protests as a case study to showcase the enriched capabilities of cyber intelligence, Snode was able to apply its analytical tools to delve deeper into the anatomy of the Tweets, and even discover that outside influencers were making an impact.

The university fee protests are a hot topic of conversation in South Africa. The dialogue is been most prevalent on Twitter, where numerous messages have been exchanged under the guise of creating a discourse around the cost of tertiary education. Interestingly though, Snode’s analysts have unearthed some other key insights not obvious to most people.

Delving deeper

To gain a deeper understanding of the underlying forces driving the #FeesMustFall protests, Snode analysts have fused various social media conversations to identify emerging trends associated with, and patterns of behaviour fuelling, this massive campaign.

The most telling finding is that many of the tweets did not originate from the same location that the message was referencing. In particular, the majority of tweets mentioning the University of Witwatersrand were found to have been sent from Pretoria, nearly 65 kilometres away.

In fact, Snode detected an anomaly in which tweets from South Africa’s capital with the #FeesMustFall hashtag referenced Wits 14 times more than they did in their own city’s university protest. Accompanying this anomaly was the fact that only 3% of #FeesMustFall tweets came from users linked to the @WitsUniversity handle, as opposed to a staggering total of 94% from politically affiliated Twitter accounts.

According to Naidoo, it can be inferred that there was another agenda being played out, and the #FeesMustFall protests are being abused by some social media users to draw attention to other topics, ultimately misrepresenting the true aim of students.

True potential

While the potential for social media to be misused by a small percentage of users, Snode says that victims of crime and law enforcement have the ability to fight back. The company’s real time processing for example, can dissect a myriad of information contained within a Tweet, including a Twitter user’s (real) name, origin of the Tweet (longitude and latitude), device type (iPhone or Android), and place of residence (e.g. city or hometown).

“If users share an image on Twitter for example, the metadata contained within that photo can offer us a wide ranging array of insights,” says Naidoo. “There are a host of AI applications available, such as Russia’s FindFace, which allows users to scan a digital image of someone and then discover their online profile. There are therefore a number of tools on hand to benefit law enforcement as much as they do criminals,” he continued.

In the right hands, this kind of machine assisted analytics can empower social media platforms such as Twitter to help make data-driven decisions, notes Naidoo. In the US, a number of American agencies are already using deep analysis within Twitter to track down dissidents, according to Saudi scientist Hala Al-Dosari in a recent interview with Bloomberg Businessweek.

“South Africa needs to use available technology correctly, especially when it comes to tackling issues like crime within the country. With regard to socially relevant topics such as the student protests, having cyber intelligence at work can assist in gleaning vital insight. At Snode, we believe having such knowledge can not only help us understand the climate better, but also assist law enforcement and government services to predict and respond to critical events more efficiently,” says Naidoo.

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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).

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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.

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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

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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.

Expansive solutions

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.

Efficiency improvements

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.

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