With 2016 in full swing, its now more important than ever for the IT industry to evolve, but says SEBASTIAN ISAAC, Business Development Manager at Rectron, we still need to address the skills and awareness needed for us to excel.
With 2016 in full swing, it’s never been more important for the IT industry to evolve in order to remain relevant. From an increasing shift to the cloud and third platform technologies, to the development of the Internet of Things (IoT), the International Data Corporation’s (IDC) Worldwide IT Industry 2016 Predictions centre on digital transformation. In South Africa, while we are certainly seeing similar trends, we still need to address the skills and awareness necessary for us to excel.
Digital transformation at the heart of corporate strategy
According to the IDC, by the end of 2017, the majority of CEOs will have digital transformation at the centre of their corporate strategy, as they apply digital technology to all aspects of business. Linked to this an increased spend on third platform technologies and cloud-based infrastructure. Locally, digital transformation is becoming increasingly important as businesses are considering social and mobile analytics and the cloud to a greater extent, and we are beginning to see a transition.
That said, it is still a work in progress in South Africa. This is especially so when it comes to working in the cloud. We’re still seeing a large number of businesses focused on internal solutions. It is often the smaller businesses that have the capacity to move to the cloud more easily, with the larger enterprises having to follow a process when it comes to transitioning. However, the businesses that can make the shift or partner with industry cloud platforms are in prime position to offer their customers a more complete, packaged solution to meet their needs.
Changing the way we think about software, data and customers
As we continue down the digital transformation road, it stands to reason that businesses will ramp up their software development capabilities as they shift their focus to the creation of digital apps and services. A lot of software development is starting to focus more on extracting specific information and understanding who the customer is to have a more targeted approach. In addition, the embedding of cognitive services into apps is also beginning to gain ground, although there is still a lot of room to fine tune these according to the information that is actually needed.
In the spirit of extracting information, the IDC also predicts that businesses will expand their external data sources significantly. Businesses certainly need to be drawing from multiple data sources to consolidate and verify their information. We’ve seen this trend growing as several of our customers that work with multiple service providers are making use of the information from each of those sources to better analyse what is going on in their industries.
Of course, as we better understand our customers through these various means, it also stands to reason that businesses need to overhaul their digital front door to support the volume of customers coming from a variety of touch points. There is a growing trend for businesses to find inventive ways of getting in touch with their customers by making use of the data they extract to understand how to be relevant in their communications.
The Internet of Things continues to grow
When thinking about how to connect with customers to gain real-time insights into their behaviours and needs, IoT provides the answer. It has the potential to cut out the middle man and allows businesses to connect directly with their customers. In the IT space, it’s possible to embed IoT technology into a printer, for example, so that the manufacturer has control over the sales of consumables and repairs, as well as the opportunity to improve the product based on direct customer feedback. This changes the role of IT vendors as we know them.
However, there are still challenges in the IoT space, especially when it comes to the infrastructure being put in place. IoT is not entirely open platform yet, and for proper drive into this space we need more collaboration between different entities. As long as everyone continues to have their own protocols and standards, we are still a few years away from having a proper working solution to focus on IoT devices.
Innovation and relevance key in 2016
While we still have a way to go, South Africa is keeping up with global IT trends. As a country, we have a lot of innovation to offer and we have the potential to take giant leaps especially in the IoT space. Our challenge in the coming years is to ensure that we upskill and encourage people to be part of the IoT ecosystem and the IT sector in general. We also need to educate other sectors about the value that working in the cloud and using remote monitoring and management of data can add to business.
From Rectron’s perspective, we see the necessity of remaining relevant for our customers. We believe the way to achieve this is to look beyond products themselves and offer a total solution that adds real value to business and acts as a central point across warranty, servicing, and support. It’s an evolving model, but with digital transformation it is inevitable that those succeeding in the IT sector will make the shift.
Data gives coaches new eyes in sports
Collecting and analysing data is entering a new era as it transforms both coaching and strategy across sports ranging from rugby to Formula 1, writes ARTHUR GOLDSTUCK
Coaches and managers have always been among the stars of any sports. They become household names as much as the sports heroes that populate their teams. Now, thanks to the power of data collection and analysis, they are about to raise their game to unprecedented levels.
The evolution of data for fine-tuning sports performance has already been experienced in Formula 1 racing, baseball and American football. All are known for the massive amount of statistic they produce. Typically, however, these were jealously guarded by coaches trying to get an edge over their rivals. Thanks to the science of “big data”, that has changed dramatically.
“American baseball has the most sophisticated data science analytics of any sports in the world because baseball has this long history of stats,” said Ariel Kelman, vice president of worldwide marketing at Amazon Web Services (AWS), the cloud computing giant that is working closely with sports teams and leagues around the world. “It’s an incredibly opaque world. I’ve tried for many years to try and get the teams to talk about it, but it’s their secret sauce and some of these teams have eight, nine or ten data scientist.”
In an interview during the AWS Re:Invent conference in Las Vegas last week, Kelman said that this statistical advantage was not lost on other sports, where forward-thinking coaches fully understood the benefits. In particular, American football, through the National Football League there, was coming on board in a big way.
“The reason they were behind is they didn’t have the player tracking data until recently in in the NFL. They only had the player tracking data three years ago. Now the teams are really investing in it. We did an announcement with the Seattle Seahawks earlier this week; they chose us as their machine learning, data science and cloud provider to do this kind of analysis to help figure out their game strategy.
“They are building models predicting the other teams and looking at players and also evaluating all their practices. They are setting up computer vision systems so that they can track the performance of the players during their practices and have that inform some of the game strategies. The teams then even talk about using it for player evaluation, for example trying to figure out how much should we pay this player.”
Illustrating the trend, during Re:Invent, Kelman hosted a panel discussion featuring Rob Smedley, a technicalconsultant to Formula 1, Cris Collinsworth, a former professional footballer in the NFL and now a renowned broadcaster, and Jason Healy, performance analytics managerat New Zealand Rugby.
Healey in particular represents the extent to which data analysis has crosses sporting codes. He has spent four yearswith All Blacks, after 10 years with the New Zealand Olympic Committee, helping athletes prepare for the OlympicGames.
“The game of rugby is chaos,” he told the audience. “There’s a lot of a lot of things going on. There’s a lot of trauma and violence and it can be difficult to work out the load management of each player. So data collection is a big piece of the technical understanding of the game.
“A problem for us in rugby is the ability to recall what happened. We have to identify what’s situational and what’s systemic. The situational thing that happens, which is very unlikely to be replicated, gets a lot of attention in rugby. That’s the sensational big moment in the game that gets talked about. But it’s the systemic plays and the systemic actions of players that lies underneath the performance. That’s where the big data starts to really provide some powerful answers.
“Coaches have to move away from those sensational andsituational moments. We’re trying to get them to learn what is happening at that systemic level, what is actually happening in the game. How do we adjust? How do we make our decisions? What technical and defensive strategies need to change according to the data?”
Healey said AWS was providing platforms for tracking players and analysing patterns, but the challenge was to bring people on this technology journey.
“We’re asking our coaching staff to change the way they have traditionally worked, by realising that this data does give insights into how they make their decisions.”
Kelman agreed this was an obstacle, not just in sport, but in all sectors.
“Across all of our customers, in all industries, one of the things that’s often underestimated the most is that getting the technology working is only the first step. You have to figure out how to integrate it with the processes that us humans, who dislike change, work with. The vast majority of it is about building knowledge. There’s ways to transfer that learning to performance.”
Of course, data analytics does not assure any side of victory, as the All Blacks discovered during the recent Rugby World Cup, when they were knocked out in the semi-finals, and South Africa went on to win. We asked Healey how the data-poor South Africans succeeded where the data-rich All Blacks couldn’t.
“You have to look at how analytics and insights and all thesetechnologies are available to all the coaches these days,” he said. The piece that often gets missed is the people piece. It’s the transformation of learning that goes into the player’sactual performance on the field. We’re providing them with a platform and the information, but the players have to make the decisions.. We can’t say that this particular piece of technology played a role in winning or losing. It’s simply just a tool.”
The same challenge faces motor racing, which generates massive amounts of data through numerous sensors and cameras mounted in vehicles. Rob Smedley, who spent 25 years working in engineering roles for Formula 1 teams, quipped that his sport had a “big data” problem before the phrase was invented.
“We’ve always been very obsessive about data. Take car telemetry, where we’ve got something like 200 to 300 sensors on the car itself. And that goes into something like two to three thousand data channels. So we’re taking about around 600 Gigabytes of data generated every single lap, per car.
“On top of that, where we’ve also got all the time data and GPS data. The teams are using it for performance advantage. We’re into such marginal gains now because there are no bad teams in Formula 1 anymore. Data analytics provide those marginal gains.”
• Arthur Goldstuck is founder of World Wide Worx and editor-in-chief of Gadget.co.za. Follow him on Twitter and Instagram on @art2gee
IoT faces 5-year gap
In five years, the world will have more than 40 billion devices. Locally, IoT specialist,Eseye, says that South African CIOs are recognising IoT (Internet of Things) and M2M (Machine to Machine) technologies as strategic imperatives, but the journey is still in its infancy.
“As legacy systems start to reach end of life, digital shifts will become inevitable. This, coupled with an increasing demand for improved bottom line results from existing and new markets, makes IoT a more viable option over the next five years. This is particularly prevalent in manufacturing, especially where time to market and product diversification has become necessary for business survival,” says Jeremy Potgieter, Regional Director – Africa, Eseye.
He says that within this sector one thing matters – output: “Fulfilling the product to market lifecycle is what makes a manufacturer successful. Addressing this functionality and production optimisation through technology is becoming more critical as they focus on increasing output and reducing downtime. By monitoring machinery and components in the production line, any concerns that arise, which impacts both the manufacturer and consumers alike, will be more efficiently dealt with by using an IoT approach.”
Potgieter says that there is also the growing strategic approach to increase the bottom line through new markets. As manufacturers seek new revenue streams, Eseye is encouraging the use of rapid IoT enabled device product development : “By addressing the connectivity aspects required at deployment, manufacturers are immediately diversifying their portfolios. Eseye, as an enabler, assists by providing market ready SIMs, which can be embedded into IoT connected devices at OEM level, connecting them to a plethora of services (as designed for) upon entry to market, anywhere in the world.”
In addition, Potgieter says that organisations are increasingly looking towards IoT connectivity managed services to capitalise on specialist expertise and ensure the devices are proactively monitored and managed to ensure maximum uptime, while reducing data costs.
Impacting IoT adoption though, is undoubtedly the network infrastructure required. Potgieter says that this varies significantly and will depend on criteria such as sensor types and corresponding measurements, the overall communication protocols, data volume, response time, and analytics required: “While the majority of IoT implementations can be enabled using cloud-based IoT platform solutions, the infrastructure required still remains important. A cloud platform will simplify infrastructure design and enable easy scaling capability, while also reducing security and data analytics implementation issues.”