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Apple unveils new music app

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A new music making app from Apple called Music Memos now allows musicians to capture, organise and develop songs straight from their iPhone or iPad.

Apple has announced a new update to its family of music-making apps for iOS that make it easy for people to tap into their musical potential and create music wherever they are. A new app called Music Memos lets musicians and songwriters quickly capture, organise and develop musical ideas on an iPhone. And a major update to GarageBand for iOS introduces multiple new features, including Live Loops, a fun way for anyone to make music like a DJ using only an iPhone or iPad.

“Musicians around the world, from the biggest artists to aspiring students, use Apple devices to create amazing music; the innovative new Music Memos app will help them quickly capture their ideas on iPhone and iPad whenever inspiration strikes,” said Philip Schiller, Apple’s senior vice president of Worldwide Marketing. “GarageBand is the most popular music creation app in the world, and this update helps everyone easily tap into their musical talent with the powerful new Live Loops and Drummer features, and adds support for the larger iPad Pro screen and 3D Touch on iPhone 6s and iPhone 6s Plus.”

“Sometimes ideas come faster than I can get them into my notebook so I’ve used Voice Memos and Notes to quickly capture songs before they’re lost. Music Memos is like if those two apps came together to form some kind of superpower for songs,” said Ryan Adams, critically acclaimed singer-songwriter and producer. “It quite literally blew my mind how Music Memos could transform a single guitar idea into a whole composition with a virtual drummer loose enough that it felt like you were having your mind read by some A.I. musician and a choice of stand-up or electric bass accompaniments.”

“I recorded my first album using GarageBand and I continue to use it in my music today,” said T-Pain, Grammy Award-winning artist and producer. “I love how the new Live Loops in GarageBand lets me quickly build tracks and beats, and even perform effects like a musical instrument. It’ll change the way an entire generation makes music.”

Apple provided the following additional information:

Musicians and songwriters around the world have used the Voice Memos app on their iPhone to quickly record ideas, and many hit songs first started as Voice Memos. The new Music Memos app is inspired by Voice Memos and takes the functionality even further by adding musician-friendly features designed specifically for songwriting and developing musical ideas.

With Music Memos, you can record any musical instrument through the iPhone’s built-in microphone in a high-quality, uncompressed format, then name, tag and rate it to start building a library of your ideas. The app can analyse rhythm and chords of acoustic guitar and piano recordings, and instantly add drums and a bass line to provide a virtual, customisable backing band that plays along to match the feel of your song.

Music Memos can even provide basic notation that displays the chords that were played. With iCloud your Music Memos are automatically available across all your Apple devices so you can open them in GarageBand or Logic Pro X to further develop your songs. Musicians can easily share their ideas via email or with their fans through Apple Music Connect. For more information about the new Music Memos app, visit, www.apple.com/music-memos.

GarageBand for iOS is the world’s most popular mobile music creation app, and the new GarageBand 2.1 update introduces Live Loops, an entirely new and intuitive way to create amazing music. Inspired by DJ hardware controllers and drum machines, Live Loops makes it easy for anyone to create music by simply tapping cells and columns in a highly visual grid to trigger different looped instruments and samples.

The loops can be performed, arranged and remixed Iive, and GarageBand automatically keeps all the beats in sync with perfect time and pitch. To get you started, Live Loops comes with a library of Apple-designed loop templates in a variety of genres including EDM, Hip Hop, Dubstep and Rock, or you can create your own loops from scratch.

GarageBand 2.1 for iOS also includes the new Drummer feature with nine EDM and acoustic virtual session drummers that provide their own signature sound, as well as an expanded selection of amps for bass players. Advanced GarageBand users can now create even more dynamic and polished sounding songs using new automation features, controls recording and a new simple EQ.

GarageBand 2.1 looks stunning on the expansive 12.9-inch Retina display on the new iPad Pro and gives you access to even more controls and room to play. And on iPhone 6s and iPhone 6s Plus, the app now supports 3D Touch, allowing you to play with more expression. For more information about the new GarageBand for iOS, visit, www.apple.com/ios/garageband.

Pricing & Availability

Music Memos is available for free on the App Store and is compatible with iPhone 4s and later, and iPad 2 and later. GarageBand 2.1 for iOS is bundled free with new iOS devices 32GB and larger, is available as a free upgrade for existing users with compatible iOS 9 devices or later, and is available to everyone else via the App Store.

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Data gives coaches new eyes in sports

Collecting and analysing data is entering a new era as it transforms both coaching and strategy across sports ranging from rugby to Formula 1, writes ARTHUR GOLDSTUCK

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Coaches and managers have always been among the stars of any sports. They become household names as much as the sports heroes that populate their teams. Now, thanks to the power of data collection and analysis, they are about to raise their game to unprecedented levels.

The evolution of data for fine-tuning sports performance has already been experienced in Formula 1 racing, baseball and American football. All are known for the massive amount of statistic they produce. Typically, however, these were jealously guarded by coaches trying to get an edge over their rivals. Thanks to the science of “big data”, that has changed dramatically.

“American baseball has the most sophisticated data science analytics of any sports in the world because baseball has this long history of stats,” said Ariel Kelman, vice president of worldwide marketing at Amazon Web Services (AWS), the cloud computing giant that is working closely with sports teams and leagues around the world. “It’s an incredibly opaque world. I’ve tried for many years to try and get the teams to talk about it, but it’s their secret sauce and some of these teams have eight, nine or ten data scientist.”

In an interview during the AWS Re:Invent conference in Las Vegas last week, Kelman said that this statistical advantage was not lost on other sports, where forward-thinking coaches fully understood the benefits. In particular, American football, through the National Football League there, was coming on board in a big way.

“The reason they were behind is they didn’t have the player tracking data until recently in in the NFL. They only had the player tracking data three years ago. Now the teams are really investing in it. We did an announcement with the Seattle Seahawks earlier this week; they chose us as their machine learning, data science and cloud provider to do this kind of analysis to help figure out their game strategy. 

“They are building models predicting the other teams and looking at players and also evaluating all their practices. They are setting up computer vision systems so that they can track the performance of the players during their practices and have that inform some of the game strategies. The teams then even talk about using it for player evaluation, for example trying to figure out how much should we pay this player.”

Illustrating the trend, during Re:Invent, Kelman hosted a panel discussion featuring Rob Smedley, a technicalconsultant to Formula 1, Cris Collinsworth, a former professional footballer in the NFL and now a renowned broadcaster, and Jason Healy, performance analytics managerat New Zealand Rugby.

Healey in particular represents the extent to which data analysis has crosses sporting codes. He has spent four yearswith All Blacks, after 10 years with the New Zealand Olympic Committee, helping athletes prepare for the OlympicGames. 

“The game of rugby is chaos,” he told the audience. “There’s a lot of a lot of things going on. There’s a lot of trauma and violence and it can be difficult to work out the load management of each player. So data collection is a big piece of the technical understanding of the game.

“A problem for us in rugby is the ability to recall what happened. We have to identify what’s situational and what’s systemic. The situational thing that happens, which is very unlikely to be replicated, gets a lot of attention in rugby. That’s the sensational big moment in the game that gets talked about. But it’s the systemic plays and the systemic actions of players that lies underneath the performance. That’s where the big data starts to really provide some powerful answers. 

“Coaches have to move away from those sensational andsituational moments. We’re trying to get them to learn what is happening at that systemic level, what is actually happening in the game. How do we adjust? How do we make our decisions? What technical and defensive strategies need to change according to the data?”

Healey said AWS was providing platforms for tracking players and analysing patterns, but the challenge was to bring people on this technology journey.

“We’re asking our coaching staff to change the way they have traditionally worked, by realising that this data does give insights into how they make their decisions.”

Kelman agreed this was an obstacle, not just in sport, but in all sectors.

“Across all of our customers, in all industries, one of the things that’s often underestimated the most is that getting the technology working is only the first step. You have to figure out how to integrate it with the processes that us humans, who dislike change, work with. The vast majority of it is about building knowledge. There’s ways to transfer that learning to performance.”

Of course, data analytics does not assure any side of victory, as the All Blacks discovered during the recent Rugby World Cup, when they were knocked out in the semi-finals, and South Africa went on to win. We asked Healey how the data-poor South Africans succeeded where the data-rich All Blacks couldn’t.

“You have to look at how analytics and insights and all thesetechnologies are available to all the coaches these days,” he said. The piece that often gets missed is the people piece. It’s the transformation of learning that goes into the player’sactual performance on the field. We’re providing them with a platform and the information, but the players have to make the decisions.. We can’t say that this particular piece of technology played a role in winning or losing. It’s simply just a tool.”

The same challenge faces motor racing, which generates massive amounts of data through numerous sensors and cameras mounted in vehicles. Rob Smedley, who spent 25 years working in engineering roles for Formula 1 teams, quipped that his sport had a  “big data” problem before the phrase was invented. 

“We’ve always been very obsessive about data. Take car telemetry, where we’ve got something like 200 to 300 sensors on the car itself. And that goes into something like two to three thousand data channels. So we’re taking about around 600 Gigabytes of data generated every single lap, per car. 

“On top of that, where we’ve also got all the time data and GPS data. The teams are using it for performance advantage. We’re into such marginal gains now because there are no bad teams in Formula 1 anymore. Data analytics provide those marginal gains.”

• Arthur Goldstuck is founder of World Wide Worx and editor-in-chief of Gadget.co.za. Follow him on Twitter and Instagram on @art2gee

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IoT faces 5-year gap

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In five years, the world will have more than 40 billion devices. Locally, IoT specialist,Eseye, says that South African CIOs are recognising IoT (Internet of Things) and M2M (Machine to Machine) technologies as strategic imperatives, but the journey is still in its infancy.

“As legacy systems start to reach end of life, digital shifts will become inevitable. This, coupled with an increasing demand for improved bottom line results from existing and new markets, makes IoT a more viable option over the next five years. This is particularly prevalent in manufacturing, especially where time to market and product diversification has become necessary for business survival,” says Jeremy Potgieter, Regional Director – Africa, Eseye.

He says that within this sector one thing matters – output: “Fulfilling the product to market lifecycle is what makes a manufacturer successful. Addressing this functionality and production optimisation through technology is becoming more critical as they focus on increasing output and reducing downtime. By monitoring machinery and components in the production line, any concerns that arise, which impacts both the manufacturer and consumers alike, will be more efficiently dealt with by using an IoT approach.”

Potgieter says that there is also the growing strategic approach to increase the bottom line through new markets. As manufacturers seek new revenue streams, Eseye is encouraging the use of rapid IoT enabled device product development : “By addressing the connectivity aspects required at deployment, manufacturers are immediately diversifying their portfolios. Eseye, as an enabler, assists by providing market ready SIMs, which can be embedded into IoT connected devices at OEM level, connecting them to a plethora of services (as designed for) upon entry to market, anywhere in the world.”

In addition, Potgieter says that organisations are increasingly looking towards IoT connectivity managed services to capitalise on specialist expertise and ensure the devices are proactively monitored and managed to ensure maximum uptime, while reducing data costs.

Impacting IoT adoption though, is undoubtedly the network infrastructure required. Potgieter says that this varies significantly and will depend on criteria such as sensor types and corresponding measurements, the overall communication protocols, data volume, response time, and analytics required: “While the majority of IoT implementations can be enabled using cloud-based IoT platform solutions, the infrastructure required still remains important. A cloud platform will simplify infrastructure design and enable easy scaling capability, while also reducing security and data analytics implementation issues.”

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