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MWC: Lenovo goes broad

At this year’s Mobile World Congress, Lenovo unveiled a range of new devices, covering all its bases in the mobile industry.

Lenovo has introduced a broad new device portfolio at Mobile World Congress 2017 in Barcelona this week, spanning nearly all mobile form factors.

These include the detachable Miix 320, “blending affordability with connectivity on-the-go”, two convertibles, mobile powerhouses Yoga 720 and 520, four tablets, including the versatile Tab 4 family, and Moto G and Moto G Plus, smartphones that pair premium features with affordable prices.

At the same time, Lenovo is announcing an enhancement to Lenovo Connect with support for reprogrammable e-SIMs, which will allow customers to take advantage of their local telco contract for data when at home and the best local wireless pricing when they are roaming, without having to swap out their SIM.

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Lenovo provided the following information:

Moto G5 and Moto G5 Plus

The newest members of the Moto G family bring together an unexpected combination of beauty and power. Both devices feature precision crafted metal design – a first for Moto G – and powerful octa-core processors that enable exceptional performance. Long lasting, all-day batteries mean less plugging in and more getting done, fingerprint readers keep user information safe and secure and advanced camera capabilities allow for the capture of stunning photos with faster focus. Unexpected is now extraordinary.

Lenovo Tab 4 Series Tablets

The Lenovo Tab 4 tablet family builds on the foundation of its mainstream tablets by making them even better: delivering four beautifully designed, powerfully built devices crafted for every member of the family. High on the multimedia experience, the Lenovo Tab 4 8 and Lenovo Tab 4 10 models have dual speakers and Dolby Atmos. The Lenovo Tab 4 family also introduces an all-new premium line for media buffs: the Lenovo Tab 4 8 Plus and Lenovo Tab 4 10 Plus, sporting a standout dual-glassdesign with full HD displays, powerful processors and up to 12 hours of battery life.

We take the tablet concept ever further with optional packs that transform the Lenovo Tab 4 series into dedicated kid’s tablets or productivity tablets. The Kid’s Pack comes with a shock-resistant bumper, a blue-light filter and a pair of colorful, scratch resistant 3M stickers, augmented by an optimized kid’s experience from the Lenovo Kid’s Account, which features up-to-date and curated kid’s content, a browser with whitelisted websites and scheduling tools for parents. The tablets can also transform into a 2-in-1 Android workhorse with the addition of the optional Productivity Pack with Bluetooth keyboard, which complements the experience of the Lenovo Tab 4’s productivity interface. This interface incorporates a taskbar for quick switching between apps, multi-window support, support for common keyboard shortcuts, and optimization for mouse and keyboard operations. (Read more about the Lenovo Tab 4 Series here.)

Miix 320 Detachable with Lightning-Fast LTE Option

The Miix 320 combines the productivity of Windows 10 with full keyboard in a lightweight, affordable detachable. Use it as a laptop with its up to FHD 10.1-inch display for work or detach and use it as a portable tablet on the go weighing only 550g. With up to 10 hours of battery life, you can catch up on a full season of Game of Thrones without a charge. Connect nearly anywhere with its optional LTE. The mobile multitasking generation will find its balance of size and weight particularly useful with its detachable screen to watch videos, its stable docking keyboard and full PC performance when needed to create content. (Read more about the Miix 320 here.)

Lenovo Connect e-SIM

Lenovo Connect e-SIM enhancement makes it easy to connect anywhere in the world – no more swapping out SIM cards. Lenovo Connect gives users a seamless connection and local wireless pricing even when they are abroad by taking advantage of local Telco contract for data. Users can even share the same plan across devices when those devices are enabled with Lenovo Connect.

Yoga Convertibles

There are times when mobile users want the full power and productivity of a PC in a thin and light machine. As these multitaskers constantly flip between work and play, we built the Yoga 720 and 520 for them, available in 13, 14 and 15-inch models. The 15-inch Yoga 720 is the most powerful convertible in its class and comes with up to the latest 7th Gen Intel Core i7 processors, NVIDIA GeForce GTX 1050 discrete graphics, blazing-fast Thunderbolt 3 and up to nine hours of battery life. For those looking for a wafer thin device, we designed the 13-inch Yoga 720 that’s 17 percent thinner than before at just 14.3mm. All the convertibles give users the most freedom and flexibility to use Yoga the way that fits their on-the-go lifestyles best through multiple modes. (Read more about the Yoga 720 and Yoga 520 here.)

* For more information, visit www.lenovo.com/mwc

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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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