Yesterday evening, Apple announced the iPhone 7 and 7 Plus. Both devices feature a 12MP rear camera and the Apple A10 Fusion CPU, designed to offer a better battery life and improved performance.
In what was probably Apple’s most predictable new iPhone launch yet, the company this week introduced the iPhone 7 and iPhone 7 Plus. Equally predictably, it called them “the best, most advanced iPhone ever”.
“The iPhone 7 and iPhone 7 Plus dramatically improve every aspect of the iPhone experience, reaching a new level of innovation and precision to make this the best iPhone we have ever made,” said Philip Schiller, Apple’s senior vice president of Worldwide Marketing. “The completely redesigned cameras shoot incredible photos and videos day or night, the A10 Fusion chip is the most powerful chip on any smartphone while delivering the best battery life ever in an iPhone, and an entirely new stereo speaker system provides twice the sound, all within the first water and dust resistant iPhone.”
Apple provided the following information on the features of the new phones:
The iPhone 7 and iPhone 7 Plus take the world’s most popular camera and make it even better with entirely new camera systems. The 12-megapixel camera includes optical image stabilization on both iPhone 7 and iPhone 7 Plus, and a larger ƒ/1.8 aperture and 6-element lens enable brighter, more detailed photos and videos, and a wide colour capture allows for more vibrant colors with more detail. iPhone 7 Plus features the same 12-megapixel wide angle camera as iPhone 7 and adds a 12-megapixel telephoto camera that together offer optical zoom at two times and up to 10 times digital zoom for photos.
Coming later this year, the dual 12-megapixel cameras also enable a new depth-of-field effect, using both cameras on iPhone 7 Plus to capture images, while sophisticated technology including Machine Learning separates the background from the foreground to achieve amazing portraits once possible only with DSLR cameras.
Additional Camera Advancements Include:
• New Apple-designed Image Signal Processor, which processes over 100 billion operations on a single photo in as little as 25 milliseconds, resulting in incredible photos and videos;
• New 7-megapixel FaceTime HD camera with wide colour capture, advanced pixel technology and auto image stabilisation for even better selfies; and
• New Quad-LED True Tone flash that is 50 per cent brighter than iPhone 6s including an innovative sensor that detects the flickering in lights and compensates for it in videos and photos.
More Performance & Battery Life
The new custom-designed Apple A10 Fusion chip features a new architecture that powers these innovations, making it the most powerful chip ever in a smartphone, while also getting more time between charges with the longest battery life ever in an iPhone. The A10 Fusion’s CPU now has four cores, seamlessly integrating two high-performance cores that run up to two times faster than iPhone 6, and two high-efficiency cores that are capable of running at just one-fifth the power of the high-performance cores. Graphics performance is also more powerful, running up to three times faster than iPhone 6 at as little as half the power, enabling a new level of gaming and professional apps.
Both phones include support for up to 25 LTE bands, for the best worldwide roaming in the industry, and LTE Advanced for three times faster data rates than iPhone 6 at up to 450 Mbps. ¹For customers in Japan, iPhone will now support the leading FeliCa contactless technology, bringing the ability to use credit and prepaid cards, including on iD and QuicPay domestic networks, and Suica, Japan’s dominant transit card issued by JR East, the world’s largest transit operator.
An Amazing Audio Experience
New stereo speakers offer amazing and immersive sound that is two times louder than iPhone 6s, offering increased dynamic range of sound and a higher quality speakerphone. The new iPhone comes with EarPods with Lightning connector to deliver incredible sound, as well as a 3.5 mm headphone jack adapter that allows customers to use old headphones and accessories.
New AirPods, Apple’s innovative new wireless headphones, weave simplicity and technology together to reinvent the wireless experience making headphones easy to use. Featuring the new Apple W1 chip, AirPods have extremely efficient wireless communication for a better connection, improved sound and industry-leading battery life. AirPods harness the power of Siri, allowing you to access your favourite personal assistant with just a double tap.
Design That Makes a Splash
The iPhone 7 and iPhone 7 Plus come in a gorgeous design in silver, gold and rose gold finishes and introduce two all-new black finishes, a beautiful black finish that has an anodised matte appearance, and an innovative jet black finish that has a deep, high-gloss look. The new jet black finish is accomplished through an innovative nine-step process of anodisation and polish for a uniform, glossy finish. An entirely reengineered enclosure results in a water resistant iPhone offering protection like never before against spills, splashes and dust.²
The new iPhone features the brightest, most colorful Retina HD display ever in an iPhone, now with a wide colour gamut for cinema-standard colours, greater colour saturation and the best colour management in the smartphone industry. An all-new, advanced, solid-state Home button on iPhone 7 is designed to be durable and responsive, and working in tandem with the new Taptic Engine, provides more precise and customisable tactile feedback.
Featuring iOS 10, the Biggest iOS Release Ever
iPhone 7 and iPhone 7 Plus come with iOS 10, the biggest release ever of the world’s most advanced mobile operating system. iOS 10 introduces a huge update to Messages that delivers more expressive and animated ways to message friends and family, the ability for Siri to do more by working with apps, new ways to interact with apps and even more places to use 3D Touch, 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 also opens up incredible opportunities for developers with Siri, Maps, Phone and Messages APIs, allowing customers to do more than ever with the apps they love to use.
Pricing & Availability
• iPhone 7 and iPhone 7 Plus will be available in silver, gold, rose gold and the new black finish in 32GB, 128GB and 256GB models starting at $649, and the new jet black finish will be offered exclusively on the 128GB and 256GB models from Apple.com, Apple Stores, Apple Authorised Resellers and select carriers.
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.