Credits : Forbes

Credits : Forbes


As tech companies grow, they often start overcomplicating and overbuilding software. The goal of such companies should be to create a tech process that allows flexibility and improves efficiency.

To do that, we need to understand the different areas technology must satisfy:

  • Business
  • Clients
  • Stability

A long-term business vision is very much needed as a guideline for everything that you want to build. Every idea will be checked against this guideline to make sure you don’t stray too much.

When thinking about the tech builds that will help you keep and generate more clients, it’s best to consider how your company can help your clients grow their businesses. If you focus on helping your clients grow, your business will also grow as a result.

While it is implied that tech must be stable, in the everlasting race of pushing out more and more features, we can easily forget that none of it matters if the system keeps crashing all the time. Every once in a while, you should have a project that has the goal of improving stability.

The Process

I have found that an iterative process works best, as it continuously improves the software while taking constant client feedback into consideration. The basis of the process features two pillars: planning and development.

The planning process starts with an idea and ends with a precise list of tasks for developers. In the process, the business and tech teams will work through all the issues and requirements and answer all questions. The development process always requires going through the flow of building new projects, one at a time.

Both planning and development processes work in endless cycles. Planning will always be preparing the next project, and development will always start working on the project after planning was finished.

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Credits : Forbes

Credits : Forbes


Back when I was a teenager, before the days of the internet, I taught myself how to program, and of particular interest to me were neural networks and deep learning.

From this perspective, it’s been fascinating to see how artificial intelligence (AI) has re-emerged after long periods of failing to meet expectations. Helped by the power of cloud computing and big data, AI is creating a revolution faster than we could ever imagine. We see it everywhere today — from Google Photos to Amazon’s Alexa to the self-driving capability of a Tesla. But how will AI impact the development of the software that underlies many of these new services? How will the job of a developer or tester change?

Will we see the transition to, in the words of Google CEO Sundar Pichai, software becoming a system that “automatically writes itself”?

AI is already starting to impact all aspects of the software development lifecycle, from the upfront conceptualization of the software to development, testing, deployment and ongoing maintenance. Currently, I see two main impacts of AI on software development:

  1. AI helping developers and testers create better software
  2. Developers using AI to create better functionality that is more responsive to users

AI Is Helping Developers And Testers Create Better Software

The first impact of AI on the developer job has been due to improved tools that help developers code better and for quality assurance (QA) experts to test more effectively. This is already helping improve overall software quality, as using machine learning to test software is the natural next step after automation testing. We’re already seeing testers use bots to find software bugs. Meanwhile, an emerging area involves testing tools that can use AI to help testers find flaws in their software and then fix code automatically after finding a bug. As an example, last year the Defense Advanced Research Projects Agency (DARPA) held a major event to develop systems that can automatically and autonomously “detect, evaluate and patch software vulnerabilities” to improve cybersecurity.

AI will also help young developers become better programmers faster while helping them learn different languages if they want to change their focus. Just as we’re seeing AI seep into enterprises via the tools that we all use every day (think of Salesforce embedding AI into its CRM platform or AI now appearing in Microsoft Word’s Editor), similar tools will impact the developer community.

One of the most interesting areas of AI is seeing how it can help developers work better together. For example, in agile development, we’re seeing how AI can be used to improve estimates. While agile teams can become very effective at estimating accurately after working together for some time, there will still be challenges given the range of influencing factors. AI is well-placed to provide guidance on estimates where there is a complex interplay between different variables and a lot of data available from previous projects.

Meanwhile, I believe we can expect to see machine learning being used in scenarios such as predicting the possible failure rate for an agile sprint. We can also expect to see the emergence of AI helping developers decide what they should be building. For example, what parts of an application should the development team focus on?

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Credits : Markets.businessinsider

Credits : Markets.businessinsider


The “Internet of Things (IoT) Software Development: IoT APIs, Apps, and Services Market Outlook and Forecasts 2017 – 2022” report has been added to Research and Markets’ offering.

This research assesses the market challenges and opportunities associated with development and support of IoT APIs. The report evaluates leading companies, solutions, technologies, and use cases. The report also analyzes the role of IoT APIs in support of key functional components of the IoT Ecosystem including Identity Management, Mediation, and other operational support functions. The report includes detailed forecasts for IoT API revenue globally, regionally, and by industry verticals for the period 2017 to 2022.

This research also evaluates the IoT app and service ecosystem including major players, market outlook, and opportunities. This research also assesses the growth factors and related technologies including Integrated Development Platform (IDP), Real Time Operating System (RTOS), QA Testing, Open Source and Commercial IoT OS, and overall IoT app and service deployment considerations. The report also analyzes important companies and solutions as well as products, apps, and services in each segment. The report includes detailed forecasts for the global and regional market including IoT OS market, IoT ADDP market, and IoT Testing market from 2017 to 2022.

Software development companies and network integrators are increasingly focusing attention on the Internet of Things (IoT), both for applications directly involving IoT as well as integrating existing software with sensor networks, remote devices, and cloud-based computing. Application Programming Interfaces (API) are a key enabler of IoT software development as well as application and service operations. APIs are rapidly becoming table stakes for interoperability between IoT platforms, devices, and gateways.

Key areas for IoT app and service support include IoT specific OS, Application Development & Deployment Platform (ADDP), and IoT Testing services. For example, ADDP and IoT Testing services in particular will be crucial to mitigate risks for enterprise deployment and reduce lifecycle costs. Another important area is IoT simulation as it will be critical to identifying network impact, potential security concerns, and much more. Among the key technologies, Digital Twinning will play an especially important role.

Key Topics Covered:

IoT API Use Cases, Solutions, Market Outlook and Forecasts 2017 – 2022

1 Executive Summary

2 API Management

3 API Management Tool Providers and Solutions

4 IoT API Market Drivers

5 Monetizing IoT APIs

6 IoT API Forecasts 2017 – 2022

7 Conclusions and Recommendations

8 Appendix

IoT Application and Services Development Market 2017 – 2022

1 Introduction

2 IoT Operating Systems

3 IoT Application Development and Deployment

4 IoT Testing Services

5 Market Forecast 2017 – 2022

6 Company Analysis

7 Conclusions and Recommendations

8 Appendix: IoT Simulations Marketplace

List of Companies Featured:

  • 3Scale
  • Advanced Micro Devices (AMD) Inc.
  • Advantech
  • Afour Technologies Pvt Ltd
  • Akana
  • Alcatel-Lucent
  • Altera Corporation
  • Amazon Web Services
  • Amperex Technology Limited (ATL)
  • API Axle
  • Apiary
  • Apica System
  • Apify
  • Apigee
  • APIphany
  • Apple Inc.
  • ARM Ltd.
  • AT&T Inc.
  • Atmel Corporation
  • Atmosphere
  • Axway
  • Beyond Security
  • Blackberry Limited
  • C3IoT
  • CA API Management
  • Canonical Ltd.
  • Capgemini SE
  • Cloud Elements
  • Contiki
  • Cumula
  • Cypress Semiconductor Corporation
  • Deployd
  • DreamFactory
  • Eclipse Foundation
  • Emergent One
  • Enea AB
  • eSol Co. Ltd.
  • Express Logic Inc.
  • General Electric (GE)
  • Google Inc.
  • Green Hills Software
  • Happiest Minds Technologies
  • HCL Technologies Ltd.
  • Huawei Technologies Co. Ltd.
  • IBM Corporation
  • Infosys Limited
  • Ixia
  • Kasabi
  • Kaspersky Lab
  • Kong
  • Layer 7 Technologies
  • Lynx Software Technologies Inc.
  • Mashape
  • Mashery
  • Mentor Graphics Inc.
  • Microsoft Corporation
  • Nevatech Sentinet
  • Novacoast Inc.
  • Oracle Corporation
  • Praetorian
  • PTC
  • Rapid7 Inc.
  • RapidValue Solutions
  • RedAnt
  • REST United
  • Restlet
  • Saksoft Limited
  • Samsung Electronics Co. Ltd.
  • SAP SE
  • Sense Tecnic System Inc. (STS)
  • Smartbear Software
  • Socrata
  • StrongLoop
  • Swagger
  • Tata Consultancy Services Limited
  • Telit Communications PLC
  • Temboo Inc.
  • Texas Instruments Inc. (TI)
  • TIBCO Software Inc.
  • Trustwave Holdings Inc.
  • Tyk
  • Unicoi Systems Inc.
  • Vordel
  • WebServius
  • Wind River
  • WITTENSTEIN high integrity systems (WHIS)
  • WSO2

List of APIs:

  • Amazon Alexa Smart Home Skills API
  • Amazon Alexa Voice Service API
  • Amazon List Skills API
  • API
  • API Management
  • APIBond API
  • Apple HomeKit API
  • Arrayent API
  • Arrow Intelligent Services API
  • AT&T M2X Distribution API
  • AT&T M2X Keys API
  • Autodata Motorcycle API
  • Automile API
  • BeaconsInSpace API
  • Beagle Sense API
  • Beebotte API
  • BITalino API
  • BloomSky API
  • Body Labs BodyKit Instant API
  • Brivo Labs SAM API
  • API
  • Cara API
  • CarmaLink GPS API
  • Caruma API
  • Carvoyant API
  • Chain API
  • ClearBlade API
  • CloudRail API
  • Codeproof MDM API
  • CoSwitched API
  • Couchbase API
  • API
  • CubeSensors API
  • Dash Chassis API
  • Dash Mobile API
  • DeviceHive API
  • DeviceHub API
  • DeviceIdentifier API
  • Dog Gateway API
  • ecobee API
  • electric imp API
  • energyhive API
  • Estimote API
  • Fencer API
  • FitBark API
  • GardenKit API
  • Garmin Communicator Plugin API
  • Garmin Connect API
  • Google Open Spherical Camera API
  • Google Weave API
  • GroveStreams API
  • Houndify API
  • HPE Haven OnDem and Retrieve Config API
  • ickStream API
  • Illiri API
  • Indigo Domotics API
  • Instacount API
  • InstaUnite API
  • Insteon API
  • Interpair API
  • ioBridge API
  • IOStash IoT PaaS API
  • Istabai API
  • Kaa Admin API
  • Know Watt API
  • Konekt API
  • API
  • Kuzzle API
  • Lelylan API
  • littleBits Cloud API
  • Livio Connect API
  • Lockitron API
  • Loggamera Heatpump API
  • LotaData API
  • Matrix API
  • Meeti API
  • Meshblu API
  • MicroBees API
  • Minme API
  • Miracl API
  • Miri Device Description API
  • Misfit API
  • Mnubo API
  • MoBagel API
  • Mojio API
  • Mojio Push API
  • Motion Shadow API
  • Muzzley API
  • myCloudData API
  • Myfox API
  • Myle API
  • MyTagList API
  • NAOqi Sensors API
  • ncryptify API
  • Nest API
  • Netatmo API
  • Netbeast API
  • Neura API
  • Nymi API
  • OGC SensorThings API
  • Okidokeys API
  • Omega Ricochet API
  • OpenChannel Marketplace API
  • OpenSensors API
  • Orange Datavenue API
  • Pachube API
  • Paraimpu API
  • Particle API
  • Pebble API
  • Pimatic REST API
  • Pinoccio API
  • Planet OS API
  • PlugShare Station API
  • Poken API
  • Predix Asset Data API
  • Predix Time Series API
  • Predix Traffic Planning API
  • API
  • PSA Group Connected Car API
  • Pulseway REST API
  • PushBug API
  • Relayr API
  • Reposify API
  • Cross-Device User Identification API
  • Safecast API
  • Samsung ARTIK Cloud API
  • Scio API
  • Scout API
  • API
  • SecureDB accounts API
  • Sense Tecnic WoTkit API
  • Sense360 API
  • SenseIoT API
  • Sensorberg API
  • Sensorist API
  • Shodan API
  • Sidecar Event API
  • Sierra Wireless AirVantage API
  • Smart Citizen API
  • SmartThings API
  • Solutecia API
  • Sonos Music API
  • Sony Lifelog API
  • Space Bunny API
  • Spark Devices API
  • SwiftKey API
  • TalkBack API
  • Telecoms Cloud API
  • Telematic REST API
  • Telepat API
  • Temboo API
  • Thalmic Myo API
  • The Beacon Registry API
  • theThings.IO REST API
  • API
  • ThingPark API
  • ThingSpeak API
  • ThinkEco API
  • Thinking Things API
  • Tweakker API
  • Ubidots API
  • UnificationEngine API
  • Unofficial Tesla Model S API
  • URX App Search API
  • Verizon Personal Cloud Storage API
  • VIMOC Technologies API
  • Vinli API
  • W3C Generic Sensor API
  • W3C Web MIDI API
  • Weaver API
  • Wia API
  • Wink App API
  • Withings API
  • Xively API
  • xMatters API
  • yetu API
  • Zatar API

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Credits : Itworld

Credits : Itworld


Platform-as-a-service (PaaS) is a type of cloud computing offering in which a service provider delivers a platform to clients, enabling them to develop, run, and manage business applications without the need to build and maintain the infrastructure such software development processes typically require.

As with other cloud services such as infrastructure-as-a-service (IaaS) and software-as-a-service (SaaS), PaaS is offered via a cloud service provider’s hosted infrastructure. Users typically access PaaS offerings via a web browser.

PaaS can be delivered through public, private, or hybrid clouds. With a public cloud PaaS, the customer controls software deployment while the cloud provider delivers all the major IT components needed to host the applications, including servers, storage systems, networks, operating systems, and databases.

With a private cloud offering, PaaS is delivered as software or an appliance within a customer’s firewall, typically in its on-premises datacenter. Hybrid cloud PaaS offers a mix of the two types of cloud service.

Rather than replace an organization’s entire IT infrastructure for software development, PaaS provides key services such as application hosting or Java development. Some PaaS offerings include application design, development, testing, and deployment. PaaS services can also include web service integration, development team collaboration, database integration, and information security.

As with other types of cloud services, customers pay for PaaS on a per-use basis, with some providers charging a flat monthly fee for access to the platform and applications hosted on the platform.

PaaS’s business benefits and drivers

One of the biggest advantages of PaaS is that enterprises can gain an environment in which to create and deploy new applications without the need to spend time and money building and maintaining an infrastructure that includes servers and databases.

This can lead to faster development and delivery of applications, a huge plus for businesses looking to gain a competitive edge or that need to get products to market quickly.

PaaS also lets them test the use of new languages, operating systems, databases, and other development technologies quickly, because they do not have to stand up the supporting infrastructure for them. PaaS also makes it easier and faster to upgrade their tools.

And the use of PaaS forces enterprise software developers to use cloud techniques in their applications, helping then adopt modern principles and take better advantage of cloud infrastructure (IaaS) platforms.

Because organizations using PaaS can manage their applications and data, loss of control is not a major issue as it often is when using cloud infrastructure or applications.

Typical applications for PaaS

Providing a hosted environment for application development and testing is one of the most common uses for PaaS. But it is hardly the only reason why enterprises use PaaS.

Research firm Gartner cites a variety of use cases for PaaS, including:

  • API development and management. Companies can use PaaS to develop, run, manage, and secure application programming interfaces and microservices. This includes the creation of new APIs and new interfaces for existing APIs, as well as end-to-end API management.
  • Business analytics/intelligence. Tools provided via PaaS let enterprises analyze their data to find business insights and patterns of behavior so they can make better decisions and more accurately predict future events such as market demand for products,
  • Business process management (BPM). Organizations can use PaaS to access a BPM platform delivered as a service as with other cloud offerings. BPM suites integrate IT components needed for process management, including data, business rules, and service-level agreements.
  • Communications. PaaS can also serve as a delivery mechanisms for communications platforms. This allows developers to add communications features such as voice, video, and messaging to applications.
  • Databases. A PaaS provider can deliver services such as setting up and maintaining an organization’s database. Research firm Forrester Research defines database PaaS as “an on-demand, secure, and scalable self-service database platform that automates provisioning and administration of databases and can be used by developers and non-technical personnel.”
  • Internet of things. IoT is expected to be a big part of PaaS usage in the coming years, supporting the wide range of application environments and programming languages and tools that various IoT deployments will use.
  • Master data management (MDM). This covers the processes, governance, policies, standards, and tools that manage the critical business data an enterprise owns, providing a single point of reference for data. Such data might include reference data such as information about customer transactions, and analytical data to support decision making.

PaaS technologies and providers

PaaS includes multiple underlying cloud infrastructure components, including servers, networking equipment, operating systems, storage, middleware, and databases. All of these are owned and operated by the service provider.

PaaS also includes resources such as development tools, programming languages, libraries, database management systems. and other tools from the provider.

Among the leading PaaS vendors are Amazon Web Services, Microsoft, Google, IBM,, Red Hat, Mendix, and Heroku. Most widely used languages, libraries, containers, and related tools are available on all the major PaaS providers’ clouds.

It’s no accident that several of these are also leading providers of software development tools. Gartner estimates there are about 200 PaaS providers today.

PaaS risks

Given that PaaS is a cloud-based service, it comes with many of the same inherent risks that other cloud offerings have, such as information security threats. PaaS is based on the concept of using shared resources such as networks and servers, so the security risks include placing critical data into this environment and having they data stolen due to unauthorized access or attacks by hackers or other bad actors.

On the other hand, the major cloud providers have been more effective at warding off such breaches than the typical enterprise datacenter, so the information security risk has not proven to be what many in IT initially feared.

With PaaS, enterprises are beholden to service providers building appropriate access controls and other security provisions and policies into their infrastructures and operations. Enterprises are also responsible for providing their own security protections for their applications.

Also, because organizations are relying on a particular service provider’s infrastructure and software, there is a potential problem of vendor lockinwith PaaS environments. A legitimate question for IT to ask is will the PaaS it chooses interoperate with its current and future IaaS and SaaS deployments?

Another risk with PaaS is when the service provider’s infrastructure experiences downtime for whatever reason, and the impact that might have on services. Also, what if the provider makes changes in its development strategy, programming languages, or in other areas?

Don’t expect these possible hurdles to keep you from taking the plunge into PaaS. It provides more flexibility precisely because the vendor handles the platforms while you handle the programming.

This story, “What is PaaS? Software development in the cloud” was originally published by InfoWorld.

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Credits : Cornellsun

Credits : Cornellsun

Amid the customary difficulties that come with first semester of freshman year at Cornell, Abu Qader ’21 has an added responsibility: running his own company out of North Campus.

Qader is the cofounder and chief technology officer of the software company Glialab, whose models aid in detection of cancerous tumors.

Glialab began two years ago when in 10th grade, Qader won his Chicago high school’s computer science fair. The software that he developed for the fair then went on to become the basis of his company.

When he began working on the project, Qader’s intentions did not lie far beyond just winning the science fair. However, now Qader’s software can be used to aid a radiologist in the earlier detection of breast cancer tumors.

Qader said he has a vision for the company as something that has the potential to do “a world of good.”

Just three weeks into his first semester of college, Qader has adjusted to the college lifestyle but acknowledges that there are certain challenges to running his company here.

However, in balancing between the company and college, Qader maintains that he is here at Cornell to go to school first.

“I’m here to learn and grow as an individual, but I also want to devote time to the company because I think it’s crucial that I do that, it has become a part of who I am,” he said.

Qader said he used to enjoy the luxury of a high schooler’s schedule in which he could “go through a six hour binge of doing work for the company, or writing an algorithm,” he said.

Now with managing a full course-load and the other demands of college life, Qader said he “[has] to be a bit more cautious because that means I probably don’t get that three-hour problem set done.”

Regarding his goals for the future of his company, Qader said he does not intend for his software to replace radiologists but to work in tandem with them.

“We’ve noticed in multiple research papers — an AI [Artificial Intelligence] system by itself versus a human radiologist by themselves versus an AI system plus a human radiologist  — of the three, the AI system plus the human radiologist will always make the better decisions,” Qader said. “They’re almost never wrong.”    

Among his main concerns include “staying in the loop” with his company, still located in Chicago, but technology has made geographical separation bearable.

“When the majority of the team is located in Chicago and someone’s here in Ithaca, I feel like there is a disconnect, but modern technology makes it a bit easier to cope with that,” he said.

Marketing a product in the healthcare arena is very different from goods and service industries. Glialab is currently seeking partnerships with universities and hospitals to conduct further testing aimed at making the software as accurate as possible.

“When you’re in healthcare a 1 percent decrease in accuracy means that a couple thousand people are going to be affected,” he said.

Qader’s personal end goal for Glialab is having an impact in countries without the healthcare funding or educational infrastructure necessary to produce great hospitals and radiologists. Abu believes that healthcare is a right and that refusing treatment based on status is placing a dollar value on human life.   

“The end goal for me personally — which I think we’re heading to very fast, which I am pretty excited about — is taking what we’re building and applying it in a manner where anyone from anywhere regardless of race or gender can come and use our service without having to worry about financial repercussions,” Qader said.

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Credits : Mirror

Credits : Mirror


Apple revealed its new iOS 11 iPhone and iPad software at its Worldwide Developer’s Conference(WWDC) in San Jose, Califonia, earlier this year.

Now, with the iPhone 8 and 8 Plus set to go on sale on September 22, followed by the iPhone X on November 3, iOS 11 will begin rolling out to older iPhones and iPads next week.

The next-gen mobile device software has been redesigned to coincide with the tenth anniversary of the iPhone and includes a completely overhauled App Store.

“We’re going to take the world’s best and most advanced mobile operating system and turn it up to 11,” said Apple’s Senior Vice President of Software Engineering Craig Federighi.

Here are some of the highlights of iOS 11 .

Revamped App Store

Apple has completely redesigned its App Store for the first time in nine years, to make it easier for iPhone and iPad users to discover new apps and games.

The new-look store has several new tabs along the bottom of the screen enabling users to filter by Games, Apps and “Today” – a daily changing selection of highlights from the App Store.

The Today tab will also include in-depth features and interviews with developers, as well as exclusive premieres, new releases tips and how-to guides.

Apple has introduced an Updates tab, allowing customers to quickly see what has changed in their favourite apps and games with the latest update.

Search has also been enhanced, allowing users to search by name, category, developer or topic, and receive relevant results for specific apps and games.

Updated Siri

Perhaps the biggest new feature of iOS 11 is the overhauled version of its Siri voice assistant.

Apple has used machine learning to create more natural voices for both the male and female versions of Siri, adjusting intonation, pitch, emphasis and tempo while speaking.

There’s also a new visual interface that offers suggestions based on personal usage of apps such as Safari, News, Mail and Messages.

Siri has been updated to better understand context and offer results that it thinks the user will be interested in.

What’s more, a new translation capability will translate English words and phrases into Chinese, French, German, Italian or Spanish, with more options coming later on.

Indoor maps

Apple has added detailed floor plans for shopping malls and airports within its Maps app.

At first, these will cover a small selection of world cities, including London – and Heathrow and Gatwick – with more locations to be added at a later date.

Speed limits and lane guidance have also been added to make navigating on the roads a little easier.

Do Not Disturb while driving

Building on its Do Not Disturb function, Apple has introduced a potentially life-saving Do Not Disturb While Driving feature, to ensure drivers stay focused on the road.

This works by detecting when you are driving and automatically silencing notifications to keep the screen dark.

Users also have the option of sending an auto reply to contacts listed in Favorites to let them know they are driving and cannot respond until they arrive at their destination.

Looping Live Photos

Apple is introducing new Loop and Bounce effects to Live Photos, allowing users to create continuous video loops – in a similar way to Instagram’s Boomerang feature.

The updated Photos app will also automatically create “memory movies” from collections of photos of pets or birthdays on your iOS device.

Apple has improved the experience of taking photos in portrait mode – bringing them into line with landscape photos with features such as optical image stabilisation, True Tone flash and HDR.

Moreover, Apple introduces a new technology called High Efficiency Image File Format that reduces the file size of every photo taken, so they take up less space on your iPhone.

Augmented Reality

Following the massive success of Niantic’s Pokemon Go app last year, augmented reality has shot to the top of the agenda.

This means apps that overlay computer graphics on top of real-world images.

Apple is introducing a new platform for developers to help them bring augmented reality experiences to iPhone and iPad using the built-in camera and motion sensors.

ARKit allows developers to tap into the latest computer vision technologies to build virtual content for interactive gaming and immersive shopping experiences.

One such game – Wingnut AR – was showcased at WWDC and will be landing later in the year.

Money transfers in iMessage

With iOS 11, Apple is integrating Apple Pay into the Messages app, allowing users to make and receive payments with friends and family instantly on their phones.

Users can send money and get paid in Messages, or tell Siri to pay someone, using the credit and debit cards they already have in Wallet.

When users get paid, they receive the money in their new Apple Pay Cash account, which they can send on to someone else, or make purchases using Apple Pay in stores, apps and on the web.

Alternatively, they can transfer it from Apple Pay Cash to their bank account.

Person-to-person payments and Apple Pay Cash will launch in the US in the autumn. The company has not yet announced plans to launch it in other countries.

FaceID and Animojis

iOS 11 will include a couple of features that are specific to the iPhone X, which was unveiled at Apple’s special event at its new headquarters in Cupertino on September 12.

These include FaceID – a new authentication technology that can verify the user’s identity by scanning their face in 3D. FaceID replaces TouchID on the iPhone X.

iOS 11 also includes support for Animoji – 3D, live rendered emoji, which track your facial expressions and create animated characters to use in iMessages.

Release date

The new operating system will be released to the public as a free software update on Tuesday, 19 September, a few days before the iPhone 8 and 8 Plus go on sale.

It will be available for iPhone 5s and later, all iPad Air and iPad Pro models, iPad 5th generation, iPad mini 2 and later and iPod touch 6th generation.

If you want to get a sneak preview of iOS 11, a beta version of the operating system is available now .


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Credits : Huffingtonpost

Credits : Huffingtonpost

 Take us back to the beginning. What was your first job?

I was a teaching assistant for a summer program for high school juniors called Minority Introduction to Engineering and Science (MITES). Two years before working there, I participated in the program myself as a naïve 11th grader who believed my educational and professional opportunities were limited to the 100×35 square miles defining my home island of Puerto Rico. I was wrong. I met driven kids from different backgrounds, and not only did I end up attending M.I.T for college, but I also now work with three of my fellow MITES 2006 grads: My twin brother Pablo, my best friend Aaron Rucker, and data expert Rachael Holmes. We all work in different areas of the product development team, but it’s pretty neat.

How did your career evolve after graduation?

After a few years as an applications engineer at a big tech company, I joined a startup called, an online job matching tool, where I became the principal engineer for our premium product. My career hit a turning point when LinkedIn acquired We had around 10 engineers at the time, and it was thanks to our founder, Eduardo Vivas, that I was able to grow as much as I did in less than a year. Eduardo has a tendency to have great ideas that seem impossible to attain. That pressure was key to my growth.

Tell us about your role today as a software engineering manager and what you’re focused on at LinkedIn.

The majority of my time is spent strategizing with my product manager, Matt, on new features or enhancements we can make to the product our team supports, which is called Easy Apply. Easy Apply enables LinkedIn members to apply directly to jobs on external applicant tracking systems without having to leave I also work very closely with the engineers on my team, particularly on the architecture phase of code development.

What do you value most about working at LinkedIn?

I love our mission. We’re working to connect talent to opportunity at a massive scale, to have insights into what makes every company, university, or organization special, and to provide the tools for our members to acquire new knowledge. I have been able to work on projects at the heart of our mission, from bringing job opportunities to our members, to making it easy to apply for roles. This translates into thousands of people finding their dream jobs every month. Knowing that our work can so directly impact our members is incredibly motivating. I also value the emphasis on creating opportunities to share employees’ knowledge, whether it is in the form of a TechTalk or through extracurricular activities like cooking classes with coworkers.

The best part about LinkedIn’s approach is that we want diversity and inclusion for the right reasons. One of our senior vice presidents, Mike Gamson, says it well: “We don’t care about diversity because it’s in vogue. We care about it because we like winning.”

Being aware that you’re among “the only” from a particular background in an organization can feel like an invisible chip on your shoulder. It can be hard to relate to others. I think the best approach to take is to make a difference and use all of these challenges as motivation. I’ve been lucky to be surrounded by a great group of coworkers that accept me and my energy. I use my background to bring some flavor and fun to the team. Although there is still a long way to go, we’re very aware and committed to making the workplace comfortable for all. I try to stay involved in conversations related to attracting and keeping engineers from underrepresented backgrounds at LinkedIn, and we are constantly thinking of new ways to recruit, or activities to attract, any and all talented engineers, regardless of their backgrounds.

What is the most innovative activity you’ve taken part in to recruit top talent?

We recently had an open mic event in our San Francisco office. It was employee-led but open to the public. Some colleagues sang and danced, and others spoke about their experiences. I had the chance to give a “lightening talk” about what my team works on and to share a bit about myself and how I got to this point. It was one of those “wow” moments that you never expect, with around 200 engineers from all over the world listening to a guy from the tiny island of Puerto Rico. It was great to have the support of my coworkers and to speak with so many people from diverse backgrounds about their interests in technology and what we do at LinkedIn. We were supposed to be there to inspire the group of people attending the event, but the guests’ enthusiasm and drive ended up inspiring all of us as well.

How do you stay productive personally and go about managing your team?

I start my days early to check email and carve out time to code. It’s imperative to meet with my team at least once a week to see how they feel and what concerns they might have. On Fridays, I try not to have any meetings in order to do the bulk of coding or design work I need to complete. I also always make sure to get my team together for lunch and ice cream. As a manager, I think that it’s important that my team works efficiently and that our team environment is inclusive and fun.

What are some of the things candidates can do to impress you during an interview?

The candidates who stand out are the ones who see an interview as an opportunity to solve a problem together. I like candidates who bounce ideas around and think before they speak. I try to keep interviews as objective as possible and centered on the person’s ability to write, explain, and design complex systems.

What do you like to read about?

I’ve recently been reading about machine learning algorithms that can predict data and give computers the ability to receive information without being programmed. I love learning. Acquiring new information will only make you a more valuable asset.

What’s your advice to other ambitious professionals navigating their careers?

Work at a place where you feel challenged. Stay level-headed and hungry. I’m always looking forward to the next challenge. Otherwise, things get boring.

Do you have a favorite motto?

“Good, better, best. Never let it rest ‘til your good is better and your better best.” – St. Jerome

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Credits : Forbes

Credits : Forbes


I’m starting up to solve a problem I care deeply about…. Should I learn how to code? Should I outsource development? Should I study computer science? These are questions that every first time entrepreneur asks. Back in 2014, my vehement answer in an article called “Should We Require Computer Science Classes?” was to learn computer science or at least be able to program yourself. The basic premise has been echoed throughout mass media with everyone from Bill Gates to the New York Times to the Estonian Government pushing more students to learn how to code.

And perhaps in the age when cloud computing made it possible for twenty-somethings with an internet connection to create Facebook, this was a good idea. For the past ten years, software really has eaten the world as Andreessen Horowitz and Netscape founder Marc Andreessen proclaimed in 2011: today we call our taxis from Uber, we stream movies on Netflix, and we order food through DoorDash.

Four out of five of the largest companies in America (by market cap) are software driven tech companies and for the past ten or so years, it seemed like studying computer science or at least “learning how to code” was like an El Dorado to becoming “the next Mark Zuckerberg.”

Or if the whole “start up and change the world thing” didn’t work out, there was a relatively paved and uncertain path to a plush six-figure software engineering gig right out of college at a Silicon Valley tech company (Glassdoor reported the average Silicon Valley software engineer’s salary was ~$110k as of July 2017).

What’s to lose?

Coding bootcamps like Flatiron SchoolGeneral Assembly, and Make School arose soon and seemed to promise the impossible — bypass a four-year computer science education to covet a software engineering role in San Francisco after only a few months. Plus with the deluge of venture dollars being deployed into startups (2015 saw$47.2 billion invested), there was always an excess demand for software engineers at high-tech companies.

But now it seems like the very fact that these coding bootcamps even exist prove that software engineering as we know it is quickly becoming commoditized….After all, if a non-engineer can learn software engineering in three months, why can’t that work be offshored or even automated? For this reason among others, many successful coding bootcamps are now closing.

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Credits : Theverge

Credits : Theverge


Pixelmator is best known as the image editor for Mac you buy if you don’t need — or can’t afford — all the bells and whistles that come with Photoshop. Now, the company behind Pixelmator is introducing some of those extra features itself, unveiling a new version of its software today named Pixelmator Pro.

Pixelmator Pro will go on sale later this year for an undisclosed price. (The company told The Verge it wants to make it “as affordable as possible.” By comparison, regular Pixelmator costs $30 on the Mac, while a Photoshop subscription starts at $10 a month.) The new software has a redesigned look and an array of new tools for jobs including retouching photos, creating vector graphics, digital painting, and designing layouts. Pixelmator Pro won’t do everything that Adobe’s full suite can, but it looks to be a big step up from the company’s original software.

“The target audience is pretty much everyone,” Pixelmator’s Andrius Gailiunas tells The Verge. “Our goal has always been to create an image editor that absolutely anyone could use and enjoy. Photoshop (and other apps) do their thing and we do ours.”

Two big updates stand out particularly. One is the redesigned user interface, which the company says is “totally and completely Mac.” In practice, this means less clutter, tabs for switching between different edits in a single window, and the removal (mostly) of floating tool windows in favor of sidebars. There’s also full support for split-screen multitasking, iCloud syncing and backup, and a custom key layout for the Touch Bar on the MacBook Pro.

The other exciting change is a set of new machine learning-enhanced tools, integrated into Pixelmator Pro using Apple’s new Core ML API. These include a new Quick Selection tool that Pixelmator says snaps to boundaries more intelligently than ever before; a feature that automatically labels different layers based on their content; and a Repair tool that will quickly and seamlessly remove and replace parts of any photo.

In terms of functionality, this isn’t a world first. (Adobe’s Content-Aware technology has been doing the same thing for years.) But, it’s notable how new machine learning tools like Core ML are making this sort of feature more widely available. Pixelmator’s team spoke glowingly of Apple’s new API, saying it removed usual development headaches like having to account for different users’ hardware capabilities.

These flashy features aside, Pixelmator Pro also introduces some practical functions missing from the original software, including support for processing RAW images (a must for photographers looking to do professional-grade editing). Again, though, if you compare Pixelmator Pro to other software on the market, it won’t match all the top-level features. That means, for example, you won’t get the same cataloging and indexing functions you get with the likes of Adobe Lightroom.

We will need to test out Pixelmator Pro for ourselves (and see what the price tag is like) but this early preview is promising. The company behind Pixelmator has made its name offering easy-to-use, good looking software at a reasonable price. If the Pro edition continues this trend, it should find a welcome home among Mac users.

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Credits : Thestar

Credits : Thestar


KOTA KINABALU: Six friends here were behind the bits and bytes of the 29th SEA Games.

They produced the software that prepared starting lists, as well as printed out the results of the various events.

Software developer Adrian Nungka led the team, whose members ranged between 24 and 32 years old, and they developed the on-venue results (OVR) software from scratch; starting in April for the Games that took place from Aug 19 to 31.

His company, Adre’s IT, has done an electronic licensing system, as well as mobile apps for real estate firms.

 Adrian’s work was noticed by retired Sabah Computer Services Department director Koh Choon Kong who recommended the team to the company tasked with handling the information and communications technology aspects of the Games.

As each of the sport was unique, the team found their work challenging because it was impossible to have one template that suited all the events.

“We had to develop software for each sport and some were more difficult than others.

“In diving, for example, there were the synchronised and mixed events so we had to write software for each,” said Adrian.

Similarly, he said, the software for tabula­ting the results for rhythmic gymnastics was one of the most complicated because it involved individual and team events.

“There were many sleepless nights and it was mentally draining,” Adrian said, describing the experience.

“But it was also a rewarding experience and we learnt a lot.

“We hope there will be other similar opportunities in the future,” he added.

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