The technological revolution shows absolutely no signs of abating. Quite the contrary, every aspect of life is being swept along on a trajectory that at times seems futuristic, says CRAIGE FLEISCHER, Samsung’s Director of Integrated Mobility.
One area in which technological advances are making a significant impact is in education. Since the introduction of modern schools, the way in which children are taught has lacked the inclusion of multi-dimensional thought processes. Today, the need to focus on holistic learning is even more urgent as future generations move into a fast-changing workplace.
In Keith Sawyer’s book ‘The New Science of Learning,’ he states that, “By the twentieth century, all major industrialised countries offered formal schooling to all of their children. When these schools took shape in the nineteenth and twentieth centuries, scientists didn’t know very much about how people learn. Even by the 1920s, when schools began to become the large bureaucratic institutions that we know today, there still was no sustained study of how people learn. As a result, the schools we have today were designed around common-sense assumptions that had never been tested scientifically.”
Education systems around the world haven’t effectively addressed learner’s ability to absorb information. As the modern world shifts, new information and ways of using that information has changed what learners need to know, including the way in which they interact with and absorb knowledge.
While education systems have evolved to an extent to include conceptual understanding as well as more practical learning, there is still a long way to go in addressing the real-world needs of future generations. This is where technology has stepped in – changing the way students interact with the material they’re required to learn as well as the way in which they absorb and experience this information.
According to Sawyer, learners need “to learn integrated and usable knowledge, rather than sets of compartmentalised and decontextualised facts. They need to be able to take responsibility for their own continuing, lifelong learning. These abilities are important to the economy, to the continued success of participatory democracy and to living a fulfilling, meaningful life.”
How technology can address this new way of learning has been explored using augmented reality, virtual reality and mixed reality – technologies that enhance teacher instruction at the same time as creating fun, engaging and immersive lessons. A peek into future classrooms will see learners fully engaged with VR sets and a complete immersion into concepts, problem-solving, facts, scenarios and multi-layered subject matter.
While some countries have been able to fully embrace new technology in schools and universities, the uptake is highly dependent on teacher skill levels and funding. But all educational institutions need to make a start. This includes introducing learners to technology by allowing them to have their own individual devices, thus expanding their learning and understanding of digital domains. This helps learners to internalise the study material and connect better with their peers and teachers.
A new beginning
At Samsung, we apply the latest technology, human and financial resources to create and run regionally-tailored education programs that offer relevant and valuable learning opportunities. One such example is the partnership Samsung has with Walter Sisulu University (WSU) in the Eastern Cape, South Africa where over 2,800 Samsung Galaxy Tab E 9.6” devices were purchased by the University between 2016/7 for their first-time entering students in selected extended programme qualifications. This has not only substantially eased student and lecturer work-load, but has also given students unprecedented access to information and the ability to create and submit assignments and other learning tasks on the go.
Students have access to e-learning materials and the internet, allowing them to further explore their areas of learning and conduct their own additional research. Students are also able to access the university online learning management system (called WiSeUp), anywhere on campus. The devices have become a critical part of the performance of students, underlying the importance of integrating technology with education. “The tablet initiative has been a success in enhancing both teaching and learning at the university. Our students’ motivation to learn has increased and they have expressed that the tablets have created the ability to learn anywhere on- and off-campus.” (Tabile Loqo, Institutional Co-ordinator for Extended Curricula Programmes).
Technology is not just the future, it’s now, which is why it’s essential for every student in the world to gain experience with devices and technology, so they can learn the basic skills required for entering the workplace and interacting with the world.
Samsung worked closely with the WSU Centre for Learning and Teaching Development (CLTD) and in-house e-learning specialists to ensure that relevant specifications were met. In addition to the devices, some departments within the Faculty of Natural Sciences have purchased learning software, which is installed on the student tablets to enhance their learning experience. The software provides video and MP3 tutorials, access to virtual laboratories in which students can conduct laboratory experiments and much more.
As part of the project, Samsung also conducted training for the approximately 120 lecturers who would be using tablets in their teaching. Beyond this, the lecturers are receiving ongoing additional in-depth training. This training focuses on integrating technology into their teaching and learning methods, with the tablets serving as the devices that lecturers are trained on. This extra training is being conducted by WSU e-learning specialists and material developers based at CLTD.
In response to this changing world, companies and researchers are rapidly bringing new products and services to market and transforming entire industries. These will require an upskilled workforce and employment of new talent that is competent at working with these new cognitive technologies. Our partnership with WSU equips their graduates to become frontrunners in gaining employment and driving innovation in this new world.
Today’s young generation are looking at a vastly different future to that of their parent’s – a future that hasn’t yet been fully visualised and will require evolutionary thinking and the ability to consistently adapt and address novel changes and challenges. The future of this world is highly dependent on our learners being given the opportunity to embrace technology and fully engage with innovation.
Now IBM’s Watson joins IoT revolution in agriculture
Global expansion of the Watson Decision Platform taps into AI, weather and IoT data to boost production
IBM has announced the global expansion of Watson Decision Platform for Agriculture, with AI technology tailored for new crops and specific regions to help feed a growing population. For the first time, IBM is providing a global agriculture solution that combines predictive technology with data from The Weather Company, an IBM Business, and IoT data to help give farmers around the world greater insights about planning, ploughing, planting, spraying and harvesting.
By 2050, the world will need to feed two billion more people without an increase in arable land . IBM is combining power weather data – including historical, current and forecast data and weather prediction models from The Weather Company – with crop models to help improve yield forecast accuracy, generate value, and increase both farm production and profitability.
Roric Paulman, owner/operator of Paulman Farms in Southwest Nebraska, said: “As a farmer, the wild card is always weather. IBM overlays weather details with my own data and historical information to help me apply, verify, and make decisions. For example, our farm is in a highly restricted water basin, so the ability to better anticipate rain not only saves me money but also helps me save precious natural resources.”
New crop models include corn, wheat, soy, cotton, sorghum, barley, sugar cane and potato, with more coming soon. These models will now be available in the Africa, U.S. Canada, Mexico, and Brazil, as well as new markets across Europe and Australia.
Kristen Lauria, general manager of Watson Media and Weather Solutions at IBM, said: “These days farmers don’t just farm food, they also cultivate data – from drones flying over fields to smart irrigation systems, and IoT sensors affixed to combines, seeders, sprayers and other equipment. Most of the time, this data is left on the vine — never analysed or used to derive insights. Watson Decision Platform for Agriculture aims to change that by offering tools and solutions to help growers make more informed decisions about their crops.”
The average farm generates an estimated 500,000 data points per day, which will grow to 4 million data points by 2036 . Applying AI and analysis to aggregated field, machine and environmental data can help improve shared insights between growers and enterprises across the agriculture ecosystem. With a better view of the fields, growers can see what’s working on certain farms and share best practices with other farmers. The platform assesses data in an electronic field record to identify and communicate crop management patterns and insights. Enterprise businesses such as food companies, grain processors, or produce distributors can then work with farmers to leverage those insights. It helps track crop yield as well as the environmental, weather and plant biologic conditions that go into a good or bad yield, such as irrigation management, pest and disease risk analysis and cohort analysis for comparing similar subsets of fields.
The result isn’t just more productive farmers. Watson Decision Platform for Agriculture could help a livestock company eliminate a certain mold or fungus from feed supply grains or help identify the best crop irrigation practices for farmers to use in drought-stricken areas like California. It could help deliver the perfect French fry for a fast food chain that needs longer – not fatter – potatoes from its network of growers. Or it could help a beer distributor produce a more affordable premium beer by growing higher quality barley that meets the standard required to become malting barley.
Watson Decision Platform for Agriculture is built on IBM PAIRS Geoscope from IBM Research, which quickly processes massive, complex geospatial and time-based datasets collected by satellites, drones, aerial flights, millions of IoT sensors and weather models. It crunches large, complex data and creates insights quickly and easily so farmers and food companies can focus on growing crops for global communities.
IBM and The Weather Company help the agriculture industry find value in weather insights. IBM Research collaborates with start up Hello Tractor to integrate The Weather Company data, remote sensing data (e.g., satellite), and IoT data from tractors. IBM also works with crop nutrition leader Yara to include hyperlocal weather forecasts in its digital platform for real-time recommendations, tailored to specific fields or crops. IBM acquired The Weather Company in 2016 and has since been helping clients better understand and mitigate the cost of weather on their businesses. The global expansion of Watson Decision Platform for Agriculture is the latest innovation in IBM’s efforts to make weather a more predictable business consideration. Also just announced, Weather Signals is a new AI-based tool that merges The Weather Company data with a company’s own operations data to reveal how minor fluctuations in weather affects business.
The combination of rich weather forecast data from The Weather Company and IBM’s AI and Cloud technologies is designed to provide a unique capability, which is being leveraged by agriculture, energy and utility companies, airlines, retailers and many others to make informed business decisions.
 The UN Department of Economic and Social Affairs, “World Population Prospects: The 2017 Revision”
 Business Insider Intelligence, 2016 report: https://www.businessinsider.com/internet-of-things-smart-agriculture-2016-10
What if Amazon used AI to take on factories?
By ANTONY BOURNE, IFS Global Industry Director for Manufacturing
Amazon recently announced record profits of $3.03bn, breaking its own record for the third consecutive time. However, Amazon appears to be at a crossroads as to where it heads next. Beyond pouring additional energy into Amazon Prime, many have wondered whether the company may decide to enter an entirely new sector such as manufacturing to drive future growth, after all, it seems a logical step for the company with its finger in so many pies.
At this point, it is unclear whether Amazon would truly ‘get its hands dirty’ by manufacturing its own products on a grand scale. But what if it did? It’s worth exploring this reality. What if Amazon did decide to move into manufacturing, a sector dominated by traditional firms and one that is yet to see an explosive tech rival enter? After all, many similarly positioned tech giants have stuck to providing data analytics services or consulting to these firms rather than genuinely engaging with and analysing manufacturing techniques directly.
If Amazon did factories
If Amazon decided to take a step into manufacturing, it is likely that they could use the Echo range as a template of what AI can achieve. In recent years,Amazon gained expertise on the way to designing its Echo home speaker range that features Alexa, an artificial intelligence and IoT-based digital assistant.Amazon could replicate a similar form with the deployment of AI and Industrial IoT (IIoT) to create an autonomously-run smart manufacturing plant. Such a plant could feature IIoT sensors to enable the machinery to be run remotely and self-aware; managing external inputs and outputs such as supply deliveries and the shipping of finished goods. Just-in-time logistics would remove the need for warehousing while other machines could be placed in charge of maintenance using AI and remote access. Through this, Amazon could radically reduce the need for human labour and interaction in manufacturing as the use of AI, IIoT and data analytics will leave only the human role for monitoring and strategic evaluation. Amazon has been using autonomous robots in their logistics and distribution centres since 2017. As demonstrated with the Echo range, this technology is available now, with the full capabilities of Blockchain and 5G soon to be realised and allowing an exponentially-increased amount of data to be received, processed and communicated.
Manufacturing with knowledge
Theorising what Amazon’s manufacturing debut would look like provides a stark learning opportunity for traditional manufacturers. After all, wheneverAmazon has entered the fray in other traditional industries such as retail and logistics, the sector has never remained the same again. The key takeaway for manufacturers is that now is the time to start leveraging the sort of technologies and approaches to data management that Amazon is already doing in its current operations. When thinking about how to implement AI and new technologies in existing environments, specific end-business goals and targets must be considered, or else the end result will fail to live up to the most optimistic of expectations. As with any target and goal, the more targeted your objectives, the more competitive and transformative your results. Once specific targets and deliverables have been considered, the resources and methods of implementation must also be considered. As Amazon did with early automation of their distribution and logistics centres, manufacturers need to implement change gradually and be focused on achieving small and incremental results that will generate wider momentum and the appetite to lead more expansive changes.
In implementing newer technologies, manufacturers need to bear in mind two fundamental aspects of implementation: software and hardware solutions. Enterprise Resource Planning (ERP) software, which is increasingly bolstered by AI, will enable manufacturers to leverage the data from connected IoT devices, sensors, and automated systems from the factory floor and the wider business. ERP software will be the key to making strategic decisions and executing routine operational tasks more efficiently. This will allow manufacturers to keep on top of trends and deliver real-time forecasting and spot any potential problems before they impact the wider business.
As for the hardware, stock management drones and sensor-embedded hardware will be the eyes through which manufacturers view the impact emerging technologies bring to their operations. Unlike manual stock audits and counting, drones with AI capabilities can monitor stock intelligently around production so that operations are not disrupted or halted. Manufacturers will be able to see what is working, what is going wrong, and where there is potential for further improvement and change.
Knowledge for manufacturing
For many traditional manufacturers, they may see Amazon as a looming threat, and smart-factory technologies such as AI and Robotic Process Automation (RPA) as a far off utopia. However, 2019 presents a perfect opportunity for manufacturers themselves to really determine how the tech giants and emerging technologies will affect the industry. Technologies such as AI and IoT are available today; and the full benefits of these technologies will only deepen as they are implemented alongside the maturing of other emerging technologies such as 5G and Blockchain in the next 3-5 years. Manufacturers need to analyse the needs which these technologies can address and produce a proper plan on how to gradually implement these technologies to address specific targets and deliverables. AI-based software and hardware solutions will fundamentally revolutionise manufacturing, yet for 2019, manufacturers just have to be willing to make the first steps in modernisation.