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Decent hotel Wi-Fi a key to guest satisfaction

In addition to cleanliness and decor, hotel visitors rate Internet access as the most important feature when booking accommodation. Unfortunately though, many hotels battle with guaranteed uptime and throughput.

Maintaining ratings is based on a number of factors for hoteliers and lodge owners. Obviously, the décor and amenities play a large role in winning favour with guests, but there is another element that is fast becoming a decision maker when guests weigh up their accommodation options. Internet and cellular connectivity are considered non-negotiable for business people and holidaymakers alike. Ensuring that the connection is of a high standard, with guaranteed uptime and throughput is, however, something that many establishments battle with.

According to Marco de Ru, CTO at wireless convergence company MiRO, it is understandable that lodge owners and hoteliers are not IT specialists and therefore they may make incorrect choices when implementing a Wi-Fi solution. “Hotel and lodge management are generally bombarded with irrelevant information such as IEEE operating standards, throughput capacity and so forth. This may result in them selecting a Wi-Fi solution that one would typically use for a home environment, based primarily on price.”

Certain steps are critical to ensure reliability of connection. The first is finding an experienced installer or system integrator with a proven track record, preferably in the hospitality sector, who will select technology that will optimise the guest Wi-Fi experience. Hand-in-glove with this goes the appointment of an internet service provider (ISP) who can provide sufficient bandwidth and high levels of throughput. A Service Level Agreements (SLA) must be provided, outlining appropriate levels of network and user support, as well as remote monitoring of the system, to provide proactive maintenance.

Three questions generally need to be answered when planning a solution: (1) What is the size of the establishment? (2) What type of traffic will be allowed on the Wi-Fi network? (3) Is a hotspot management service required?

De Ru explains that understanding the physical structure allows for provision of the best possible solution as Wi-Fi signals are quickly dampened by brick walls and concrete ceilings, especially for devices operating in the 5GHz frequency.

If users are permitted to freely browse the internet and access streaming services such as Netflix, and allow file sharing like torrent services, one needs to be aware that these services are bandwidth hungry and can quickly bring the Wi-Fi network to a standstill. Finally, a hotspot management service or portal allows establishment management to manage and control guest access.

The deployment of Wi-Fi routers and switches as well as strategically placed access points (APs) will provide guests with an opportunity to communicate and achieve internet connectivity, even when their cellular service provider’s signal is weak.

Security of networks is a common issue and this needs to be addressed by hoteliers as a priority. “Deploying the latest managed switches or routers to effectively route internet traffic across the network is a good first step. These switches and routers offer greater security features and can direct internet packets to the appropriate recipients only, rather than to all parties on the network. The networks should also take advantage of the switches’ Virtual Local Area Network (VLAN) capabilities, which allows multiple networks to be running in a secure environment off the same switch,” says De Ru.

A solution recommended by MiRO is Open-Mesh Wi-Fi access points and switches. The Open Mesh technology is characterised by its simplicity of installation and ease of use. By registering an account on the Open Mesh cloud-based management system, one can set up a guest network SSID (Service Set Identifier – the name that guests will connect to), then when users log in it can divert the traffic to either the establishment’s landing page or through to its Facebook page.

Voucher-based authentication can be enabled, with customisation determining how much upstream and downstream speed each device will be allowed, how much data will be free, or allowing integration with a third-party hotspot billing solution like Cloud4Wi or Purple WiFi. Management can also have a separate SSID for the reception desk or for the accounts team.

Once all Wi-Fi SSIDs have been created, one simply adds the access points to the CloudTrax management platform by using the device’s MAC (Media Access Control) address. “Then you simply power up the devices and ensure that they do have internet access, whereafter the device will automatically look for the CloudTrax information and the configuration will be pushed down to each access point,” says De Ru.

A major benefit Open-Mesh provides is that it is a MESH Wi-Fi network. This means that not all access points need to be connected by network cables – the range of the wireless network can be expanded by simply adding new access points in areas with poor Wi-Fi signals and connecting them to a power outlet. These access points will connect wirelessly to the network and expand the reach and signal quality of the network (MESH). This is very convenient in buildings where it is not easy or aesthetically possible to run new network cables.

“One of the key aspects in a successful Wi-Fi deployment include the focus on the initial design, configuration and implementation of the system. The problem affecting most installations comes down to infrastructure and the coordination of the location of wireless access points and the associated cabling. MiRO’s technical team is able to assist WISPs, installers and integrators with customising a solution that will factor in all the elements of a successful Wi-Fi deployment,” says De Ru.

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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 [1]. 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 [2]. 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.

[1] The UN Department of Economic and Social Affairs, “World Population Prospects: The 2017 Revision”

[2] Business Insider Intelligence, 2016 report: https://www.businessinsider.com/internet-of-things-smart-agriculture-2016-10


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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.

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