Apple today previewed iOS 10, featuring a huge update to Messages that delivers more expressive and animated ways to message friends and family, like stickers and full-screen effects.
iOS 10 introduces the ability for Siri to do more by working with apps, beautifully redesigned Maps, Photos, Apple Music and News apps, and the Home app, delivering a simple and secure way to manage home automation products in one place. iOS 10 opens up incredible opportunities to developers with Siri, Maps, Phone and Messages.
“iOS 10 is our biggest release ever, with delightful new ways to express yourself in Messages, a native app for Home automation and beautifully redesigned apps for Music, Maps, and News that are more intuitive and more powerful, making everything you love about your iPhone and iPad even better,” said Craig Federighi, Apple’s senior vice president of Software Engineering. “iOS 10 adds Siri intelligence into QuickType and Photos, automates your home with the new Home app and opens up Siri, Maps, Phone and Messages to developers — while increasing security and privacy with powerful technologies like Differential Privacy.”
Personal & Expressive Messages
Messages is the most frequently used iOS app, and with iOS 10 it is more expressive and fun with animated and personalized ways to message friends and family.
Messages includes powerful animations, such as balloons, confetti or fireworks that can take over an entire screen to celebrate a special occasion, invisible ink to send a message only revealed after a friend swipes over it, and for added personalization, handwritten notes. Automatic suggestions make it easy to replace words with emoji, Tapback creates a quick and simple way to respond with just a tap and rich links let you see content inline and play media without ever leaving your conversation.
iOS 10 brings the power of the App Store to Messages, opening up new opportunities for developers to create fun new ways for users to communicate in a thread, including stickers to be peeled and pasted into conversations, the ability to quickly personalize GIFs or edit photos, send payments or schedule dinner or a movie, all from within Messages.
Siri Opens to Developers
In iOS 10, Siri can be extended into major new areas and do more than ever by working with the apps you love to use. For the first time, developers can build on the intelligence Siri offers and let users interact directly with apps using just their voice. SiriKit helps developers easily design their apps to work with Siri for messaging, phone calls, photo search, ride booking, personal payments and workouts, or use Siri to control CarPlay apps, access climate controls or adjust radio settings within automakers’ apps.
Beautifully Redesigned Maps
Maps in iOS 10 gets a beautiful redesign that makes it even simpler and more intuitive to use. Now open to developers with new extensions, apps like OpenTable can integrate bookings right into Maps, and services like Uber and Lyft can make it easier for users to book a ride, without ever leaving the Maps app. Maps is even smarter with new intelligence that proactively delivers directions to where you most likely want to go next, based on your routine or appointments on your calendar. Once a route is planned, Maps can search along the route for gas stations, restaurants, coffee shops and more and provides an estimate of how the stop impacts the length of your trip.
Rediscover Memories in Photos
Photos in iOS 10 helps you rediscover favorite and forgotten occasions from your photo library by automatically surfacing them in Memories. Memories scans all your photos and videos and finds favorite and forgotten events, trips, and people, and presents them in a beautiful collection. A Memory also contains the Memory Movie, an automatically edited movie with theme music, titles and cinematic transitions.
Memories uses advanced computer vision to group the people, places and things inside your images into albums with on-device facial, object and scene recognition. This intelligence brings Memories and Related photos to life in a way that’s personal and meaningful to you, while maintaining your privacy.
Home App for Simpler Home Automation
The Home app is deeply integrated into iOS, delivering a simple and secure way to set up, manage and control your home in one place. Accessories can be managed individually or grouped into scenes so they work together with a single command and can be controlled by using Siri. They can be managed remotely or set up for home automation with Apple TV, and can respond with automatic triggers set by time of day, location or action.
Support for HomeKit continues to expand globally with nearly 100 home automation products adopting HomeKit this year, bringing support for thermostats, lights, window shades, door locks, video cameras and more to the Home app. Later this year, leading home builders, including Brookfield Residential, KB Home, Lennar Homes and R&F Properties, will begin integrating many of these HomeKit devices into new homes.
All-New Design for Apple Music & News
Apple Music has an all-new design, bringing greater clarity and simplicity to every aspect of the experience. It uses a new design language that allows the music to become the hero and a new structure that makes it easy to navigate and discover new music. The Library, For You, Browse and Radio tabs have been completely redesigned to provide an even greater sense of place, and we’ve added a Search tab to make finding music even easier. All of these changes come together to create a design that is clear and intuitive. iOS 10 features a redesigned News app with a new For You, organized into distinct sections that make it easier to find stories, support for breaking news notifications and paid subscriptions.
In iOS 10, accessing the information you need is easier and quicker than ever. Raise to Wake automatically wakes the screen as you raise your iPhone, making it easier to view all your notifications at a glance, right from the Lock screen. Notifications, Today view and Control Center are accessible with just a swipe or a press, and deeper 3D Touch integration with iPhone 6s and iPhone 6s Plus makes interacting with apps even easier.
Additional iOS 10 Features
- Siri intelligence brings new QuickType features, including contextual predictions to surface relevant information based on location, calendar availability or contacts; and predictive typing supports multiple languages without switching keyboards.
- Phone adds integration for third-party VoIP calls, voicemail transcription and a new caller ID extension for spam alerts.
- Built-in app updates include Safari split-view for iPad, Notes collaboration and Live Photos editing.
- Apple Pay can now be used to make easy, secure, and private purchases on participating websites using Safari, in addition to paying in-stores and within apps.
- Bedtime Alarm in the Clock app lets you set a regular sleep schedule and receive bedtime reminders.
Privacy in iOS 10
Security and privacy are fundamental to the design of Apple hardware, software and services. iMessage, FaceTime and HomeKit use end-to-end encryption to protect your data by making it unreadable by Apple and others. iOS 10 uses on-device intelligence to identify the people, objects and scenes in Photos, and power QuickType suggestions. Services like Siri, Maps and News send data to Apple’s servers, but this data is not used to build user profiles.
Starting with iOS 10, Apple is using technology called Differential Privacy to help discover the usage patterns of a large number of users without compromising individual privacy. In iOS 10, this technology will help improve QuickType and emoji suggestions, Spotlight deep link suggestions and Lookup Hints in Notes.
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.