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New BlackBerry phone arrives in SA

BlackBerry has announced that DTEK50, the first in its series of most secure Android smartphones, is now available in South Africa from MTN and Vodacom.

As part of BlackBerry’s transition towards a device software licensing strategy – which allows it to focus on putting “the smart in the phone” – the DTEK50 comes with all the security features that BlackBerry’s Android OS devices have, including best-in-class security patching and the DTEK by BlackBerry app that allows users to monitor and control their privacy on their phone.

Fully equipped with Android Marshmallow 6.0, DTEK50 combines BlackBerry’s security, privacy and productivity with the full Android experience in an all-touch design, at a price point that is affordable for consumers and ideal for enterprise fleet deployment.

BlackBerry provided the following information on features available on the DTEK50

·         Rapid Security Patching: BlackBerry rapidly delivers security patches, setting the bar in incident response and patch management to protect your device from malicious threats.

·         DTEK by BlackBerry App: Enables users to automatically monitor their OS and apps to know when their privacy could be at risk and to take action to improve it. The DTEK app also tracks applications and notifies you when someone is taking pictures or videos without your knowledge, turning your microphone on, sending a text message, or accessing your contacts or location.

·         Hardware Root of Trust: BlackBerry’s manufacturing process uses a proprietary technique that adds security from the start, allowing for the tracking, verification and provisioning of DTEK50.

·         Secure Boot Process: Starting with the root of trust, each stage of DTEK50’s secure boot chain must first verify that the next component is fully intact before proceeding, ensuring your device has not been tampered with since the last restart.

·         Android OS hardening: BlackBerry provides additional security patches, improved random number, address space generation and certificate pinning to make it more difficult for attackers to target a device by scrambling application/system memory.

·         FIPS 140-2 Compliant Full Disk Encryption: Protects your private information, like pictures or bank information, from being stolen if you were to lose your phone.

Ready to Work

DTEK50 combines the world’s most secure smartphone with BlackBerry’s enterprise management solutions to produce a powerful device capable of powering any work day. Key features include:

·         Android for Work and Google Play for Work: Allows for fast, simple and secure integration with an enterprise environment as well as easy access to numerous rich business and IT-managed apps.

·         Full Enterprise Mobility Management Support: DTEK50 supports BlackBerry’s powerful suite of EMM applications and secure productivity solutions, including: WatchDox by BlackBerry for secure file-sharing, Good Work for business-class email and collaboration tools, Strong Authentication by BlackBerry as a VPN solution, SecuSUITE for Enterprise for secure voice and instant messaging communication, BBM Protected for encrypted messaging and BES12 for secure cross-platform management.

Design Meets Function

DTEK50, BlackBerry’s thinnest device ever, represents the best of BlackBerry with Android to make users more productive and responsive, pairing security with intelligent design. Key features include:

·         BlackBerry Intelligent Keyboard: DTEK50 has a smart keyboard designed to learn from users and increase typing accuracy and speed. It provides word suggestions as you type and includes up to three languages, letting you flick them into place for faster conversations.

·         BlackBerry Hub: This unified inbox is an irreplaceable tool for consolidating all of your messages in one place – whether it’s email, calendar, social or phone calls.

·         Customisable BlackBerry Convenience Key: With the press of a button, the Convenience Key provides quick access to your most used applications and more.

·         Stunning Screen: DTEK50 has a 5.2” full HD display, capable of displaying 16 million colors. The screen is made of scratch-resistant glass and features a specialised oleophobic coating to protect against smudges and fingerprints.

·         Expandable Memory: With support for micro SD cards up to 2 TB, DTEK50 provides the flexibility to add affordable and hot-swappable memory to download, install, capture and share as your needs evolve.

·         Dazzling Camera: DTEK50 is engineered to deliver professional-looking photos with an 8MP front facing camera and a 13MP auto-focus rear camera. Plus, features like Phase Detection Auto Focus and a dual-tone LED flash are designed to help the camera focus instantly and accurately for a blur-free, realistic looking photos, even in low light.

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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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