Archive for the ‘Technology’ Category

Developers’ Job Guide: Smart Contracts and Blockchain

Monday, October 3rd, 2016

Blockchain and smart contracts are expected to drive the revolution in financial services.

The numbers suggest that’s happening. According to CoinDesk, $1.1bn was invested in blockchain and Bitcoin in the first quarter of 2016.

With this in mind, software developers looking for a new direction might want to take their skills to the blockchain.

Go forth and multiply

The core code for Bitcoin, the first application of the blockchain, is in C++. But that was 2009, and in 2016, you need to go with Go.

“I’ve heard it described as ‘what the developers of C would come up with after using Python for a decade on Google-scale infrastructure,” Ethan Buchan, CTO of blockchain app development firm Tendermint – which codes in Go – said in an interview. “I think that’s pretty much what happened.”

Go is an open-source language created by Google engineers to build servers. It’s designed to be lightweight, has good concurrency support, and supports quick deployment. This makes it particularly effective for decentralized tech like the blockchain.

Code choice is strategically important for startups. The primary codebase of Ethereum, which pioneered smart contracts, is written in Go. Distributed tools such as IPFS and Consul use Go too. Development is geared toward user needs: The most recent release, 1.7, was cut in size to accommodate Raspberry Pi owners.

Links
Go Documentation

Beginners’ luck

Beginners have an advantage when it comes to the implementation of blockchain-driven financial services.

“While the techies are working on big themes like scalability, to no avail so far, beginners should fill the gap of blockchain’s too-steep learning curve by working on making it more user-friendly to the mass,” Davide De Rosa, author of the popular blockchain tutorial Basic Blockchain Programming, said in an interview.

Meltem Demirors, Director of Digital Currency Group, writes on Medium that there are “tremendous opportunities” for women in blockchain technology, and that the industry should look outside of finance and technology to develop: “I’ve seen some of the best ideas come from diverse teams of people who have various backgrounds.”

Links
What is the blockchain?
PWC: Blockchain infographics
The idea of smart contracts
Basic Blockchain Programming
Women in blockchain tech

Experiment and learn

With developers in short supply, attitude, background knowledge, and demonstrated experimentation on the blockchain is more important than actual paid experience.

Tendermint’s Buchan says he looks for candidates “well versed in distributed computing, cryptography, and consensus science, though in general we are open to strong programmers with an aptitude for self-directed learning.”

Marc Warne, founder of London-based Bitcoin transfer site Bittylicious, says that candidates should experiment. “I’d just see what they’ve built on top of the blockchain, even just minor projects they might just be tinkering with, or fancy contracts.”

For your blockchain and smart contract developments, you should research current issues – such as the Ethereum hard fork – and be able to defend a position. “For a really entry level job, I might want to chat with them about ideas and ideologies,” says Warne.

Links
Quora: Best open source blockchain projects to contribute to
Wikipedia: Distributed computing projects

Networking

Follow on Twitter
Laura Shin (presenter of Unchained blockchain podcast)
Meltem Demirors

Communities
Meetup.com
Many cities have blockchain and Bitcoin meetups on the site, according to De Rosa.

Ryerson DMZ Launches Advisory Council for Startups

Wednesday, September 28th, 2016

Ryerson University’s startup incubator DMZ has launched an advisory council to support the Canadian startup and entrepreneurial ecosystem.

The 18-person council was handpicked from over 500 applicants and includes: Kirstine Stewart, former Head of Media at Twitter Canada, Yung Wu, Managing Director of NFQ Ventures, and Dino Trevisani, President, IBM Canada

The goal of the council is to “increase visibility for Canadian entrepreneurs, and to develop new approaches to fuel the success of Canadian innovators,” according to a DMZ press release about the initiative.

“The DMZ’s advisory council will play an important role in finding strategic and innovative approaches that will strengthen the DMZ’s position as a hub in the innovation economy,” says Mohamed Lachemi, president and vice-chancellor at Ryerson University.

“The council will also better forecast the needs of the startup community and find solutions that will be supported by some of the leading minds in business and technology,” he says.  

The first order of business for the advisory council is to create a bootcamp-style program to help new startup owners learn hard and soft skills needed to accelerate their success or failure in the first six months.

Beyond that, the advisory council will develop a collaboration agenda for Canada’s startups to bring together technology hubs nationwide and align with Canada’s innovation agenda.  

The Advisory Council members are:

  • Nadir Mohamed, (DMZ Advisory Council Chairman), Chairman, ScaleUP Ventures
  • John Albright, Managing Partner, Relay Ventures
  • Peter Bowie, Independent Director, former CEO of Deloitte China
  • Barry K. Columb, President & CEO, President’s Choice Financial
  • Bruce Croxon, Partner, Round 13 Capital
  • Maggie Fox, former Global Senior Vice President, Digital, SAP
  • Sabrina Geremia, Managing Director, Integrated Solutions Google
  • Nazmin Gupta, Chief Marketing Officer, Greystone Managed Investments Inc.
  • Anthony Lacavera, Founder and Chairman, Globalive Capital
  • Andrew Macdonald, Regional General Manager, APAC and Latin America, Uber
  • Kevin O’Brien, Chief Client Officer, Aeroplan at Aimia
  • Priya Patil, Corporate Director
  • Anoop Prakash, Managing Director, Harley-Davidson Canada
  • Michael Rossi, President, Adidas Group Canada
  • Kirstine Stewart, Chief Strategy Officer, Diply GoViral
  • Dino Trevisani, President, IBM Canada
  • Yung Wu, Managing Director, NFQ Ventures
  • David Walmsley, Editor in Chief, The Globe and Mail
  • Mohamed Lachemi, President and Vice-Chancellor, Ryerson University
  • Abdullah Snobar, Executive Director, DMZ at Ryerson University

Visa Testing Blockchain for International Payments

Tuesday, September 27th, 2016

Blockchain technology may make credit card payments cheaper and safer.

That’s the aim of a pilot program Visa Europe is launching with BTL Group, an effort billed as “a first-of-its-kind blockchain-based settlement system.”

Visa Europe announced its search for banking partners to participate in a “proof of concept” for international transactions using BTL’s interbit distributed-ledger technology.

Hendrik Kleinsmiede, Co-Founder and Innovation Partner, at Visa Europe Collab, wants to test international payments over blockchain technology between a hand-picked series of banks across different countries, to see if credit risk and transfer time can be reduced without compromising security.

“For me the opportunity is a fascinating and potentially very beneficial one,” writes Kleinsmiede. “Through the use of smart contracts and blockchains I believe we can create a fast, compliant and low-cost interbank payment and settlement service, with embedded regional compliance.”

Blockchain is a distributed ledger that keeps copies of every transaction made. One advantage is security – each transaction depends on the previous one. Amending previous entries requires the consent of all participants.

According to the Financial Times, if the project succeeds, it could present a threat to Swift, a 43-year-old interbank messaging system that handles 30 million requests a day.

Moving money cross-border can take at least three working days with Swift, and the system has been subject to its own security problems: earlier this year, malware was used to seal $81 million from the Bangladesh Bank through Swift – the hackers were only prevented from stealing more when a spelling mistake in a request prompted Deutsche Bank to investigate.

https://twitter.com/HendrikCollab/status/771303478673244160

 

Canada’s Most Tech-Oriented Economy Must Lead to Survive

Monday, September 26th, 2016

Ontario’s future depends not only on embracing disruptive technology, but also on producing and exporting innovations built around cloud computing and artificial intelligence, says Dr. Tom Corr, President and CEO of Ontario Centres of Excellence.

According to the Brookfield Institute for Innovation and Entrepreneurship (BII+E), 7.5% of businesses in Ontario operate in the tech sector – the highest proportion in Canada. The tech sector is directly responsible for 7.1 percent of Canada’s economic output.

That may not be enough.

There are so many disruptive technologies coming about that are disrupting every sector of our economy, from finance to healthcare to manufacturing,” Corr said in an interview during last week’s launch of IBM’s Innovation Hub in Toronto. “It’s important that we not only adopt it, but stay ahead of it and be part of that trend.”

The IBM hub hosts startups including med tech company Analytics4Life, which is working on a new coronary artery disease test, and BigTerminal, a personalized finance news aggregator. Both use IBM Watson and IBM Bluemix technology as vital parts of their platform infrastructure.

Ontario’s knowledge in upcoming areas of technology should be considered a natural resource, Corr said. “In terms of cloud computing, artificial intelligence and cognitive computing, there’s great talent coming out of places like the University of Toronto, the University of Waterloo.”

Corr said many companies in the IBM Innovation Hub, which offers startups networking and scaleup opportunities, wouldn’t have access to cognitive and cloud technology without partnering with IBM.

These resources can translate into export opportunities for Ontario and Canada.

“Should these companies see export potential in Germany, or Brazil, or in the U.S. or wherever they may be, these companies can then locate in an IBM facility in those places and get the help they need,” he said.

Corr, who holds his Doctor of Business Administration from Henley Management College in England, has led technology commercialization initiatives at University of Toronto and University of Waterloo.

See more coverage

IBM Opens Innovation Hub in Toronto
IBM Hub to Support Canadian Job Retention
VC Funding Doesn’t Reflect Talent in Toronto and KW: Minister

To find out what IBM Watson can do for you, click here.

For a free trial of IBM Bluemix, click here.

IBM Hub To Support Canadian Tech Job Retention

Wednesday, September 21st, 2016

IBM has a plan to keep companies in Canada, help them grow and commercialize internationally. A major component of that plan is the company’s Innovation Space announced today in Toronto.

“I want these companies to stay in Canada. I want jobs. I want to create businesses,” Dino Trevisani, President of IBM Canada, told TechPORTFOLIO in an interview at the company’s launch. “Companies don’t have to go to Silicon Valley. They don’t have to sell themselves. IBM as a multinational corporation can give them access to markets.”

Companies in IBM’s Innovation Space will be offered advice, mentoring, support services, education, and legal counsel, as well as technical capacity and infrastructure.

“The government is doing their job – they’re investing,” said Trevisani. “Academia is doing their job. Now, private sector multinationals that can give access for commercialization for these startups is what it’s all about. If we’re going to grow, we need companies to grow here. We don’t need them to develop great technologies and leave.”

IBM’s Innovation Space was set up with $24.75 million of investment by IBM Canada and $22.75 million investment by Ontario’s Jobs and Prosperity Fund.

“We’re putting our technologies in at universities and the government is helping,” said Trevisani. “It’s great innovation but we need to give them a reason to stay [in Canada].”

Toronto was picked as a location for the innovation hub because of its infrastructure and established talent. “Tech companies want to be close to transit,” said Trevisani. “Close to universities where there are sources of skilled workers.”

But Toronto is not the only focus for IBM, as Trevisani pointed out initiatives underway in throughout Ontario and other provinces.

“We’re not branding this so we can get some kind of value for IBM,” said Trevisani. “We’re partnering with MaRS, with OCE and all other incubators. We want to be an impetus for growth and support for that marketplace and for that incubator innovation market.”

More info about the IBM Innovation Space can be found in our coverage of today’s launch.

IBM Launches Innovation Space in Toronto

Wednesday, September 21st, 2016

Toronto has a new startup hub, and it’s right in the downtown core on Spadina Ave.

This morning, IBM in partnership with Ontario Centres of Excellence (OCE) and the Government of Ontario launched the IBM Innovation Space that aims to help businesses propel into the global marketplace.

The IBM Innovation Space is part of the IBM Innovation Incubator Project, a $54-million initiative funded IBM and the Government of Ontario’s Jobs and Prosperity Fund. Other partners include the SOSCIP Research Consortium and members of the Ontario Network of Entrepreneurs (ONE).

The IBM Innovation Space houses startups and technology companies that use IBM Watson and cloud technologies.  The diverse group of tenants include LifeLearn, whose Sofie veterinary software uses IBM Watson to search through diagnoses and literature, and BigTerminal, a personalized financial information aggregator.

“Access to the latest technology, including cognitive and cloud, as well as these kinds of resources and support, are so often out of the reach of start-ups – that’s why we created this space,” said Dino Trevisani, President of IBM Canada. “We want to help them innovate, get to market and expand more quickly to ultimately become the disruptors of tomorrow.”

The IBM Innovation Space will provide companies with capacity, networking and infrastructure along with new IBM cloud and cognitive business technologies. In addition, experts will offer mentoring, support services, education, and legal counsel to assist in companies’ growth.

Cognitive technologies and artificial intelligence are becoming increasingly attractive to investors, especially after social media startups have peaked. CB Insights predicts that funding of AI-enabled startups will reach $1.2 billion in 2016.

Hello, This is Your Toothbrush Speaking

Wednesday, September 14th, 2016

Gaming dental hygiene is now a thing.

The Internet of Things leverages chip technology, data analytics, and the cloud to make machines that not only work for us, but know us. A toothbrush called Grush extends the inroads of IoT technology into our daily lives.

Grush makes a children’s toothbrush that connects to both a mobile game for kids and a dashboard for parents, in a bid to ensure youngsters learn the proper way to clean their teeth.

An embedded Intel chip in the toothbrush collects dates, times, accuracy, duration and other usage data. That information is relayed to IBM Bluemix via a JavaScript runtime, allowing the toothbrush, the mobile game app and the parental dashboard to work together in real time.

The Watson Analytics platform interprets the data and determines whether the user is about to stop brushing before all the teeth have been properly cleaned. If that’s the case, Grush will alert the kid (and his or her parents) that there’s more work to do.

Grush and IBM first connected in 2014 at Smart Camp, where the fledgling IoT startup impressed judges. Grush later joined IBM’s Global Entrepreneur program, where the startup has used Bluemix to develop and scale its cloud-based smart toothbrush and smartphone app.

Using the IBM Cloud Architecture Center allowed Grush to refer to IoT, data analytics and mobile material and expertise as it worked, skipping some of the trial-and-error process in developing its interactive device.

For a free trial of IBM Bluemix, click here.

For a free trial of IBM Watson Analytics, click here.

To apply to IBM’s Global Entrepreneur program, click here.

‘Workday’ Migrates to the Cloud

Wednesday, September 7th, 2016

How quickly can an online enterprise go global? Just ask Pokémon Go developer Niantic.

While such immediate virality is rare, predicting user uptake is always a guessing game. Surprises on the upside can trigger an avalanche of negative reviews if the back-end infrastructure doesn’t support viral popularity in multiple markets.

Human resources and finance software company Workday recently cited global expansion as a reason for its decision to sign a seven-year contract with IBM to use the IBM Cloud platform for developing and testing new products.

Workday CEO Aneel Bhusri said IBM Cloud will enable his company to scale development and testing faster, and that they may use further services in the future. “Workday will use IBM Cloud to continue accelerating Workday’s internal development and testing efforts to support our ongoing global expansion,” Bhusri said.

IBM’s global cloud data infrastructure includes nearly 50 scalable and security-rich IBM Cloud data centers in 17 countries on six continents, according to a statement by Workday.

Fast Company notes, “The last thing you want is to start losing customers because your site crashes or some other part of your infrastructure isn’t up to the task.”

Learn more here about the Workday and IBM Cloud partnership.

To explore IBM Cloud infrastructure, click here.

How IBM Watson Created a Horror Movie Trailer

Tuesday, September 6th, 2016

How do you create a movie trailer about an artificially enhanced human?

You turn to the real thing – artificial intelligence.

20th Century Fox has partnered with IBM Research to develop the first-ever “cognitive movie trailer” for its upcoming suspense/horror film, “Morgan”.

Fox wanted to explore using artificial intelligence (AI) to create a horror movie trailer that would keep audiences on the edge of their seats.

Movies, especially horror movies, are incredibly subjective. Think about the scariest movie you know (for me, it’s the 1976 movie, “The Omen”). I can almost guarantee that if you ask the person next to you, they’ll have a different answer.

There are patterns and types of emotions in horror movies that resonate differently with each viewer, and the intricacies and interrelation of these are what an AI system would have to identify and understand in order to create a compelling movie trailer.

Our team was faced with the challenge of not only teaching a system to understand, “what is scary”, but then to create a trailer that would be considered “frightening and suspenseful” by a majority of viewers.

As with any AI system, the first step was training it to understand a subject area. Using machine learning techniques and experimental Watson APIs, our Research team trained a system on the trailers of 100 horror movies by segmenting out each scene from the trailers. Once each trailer was segmented into “moments”, the system completed the following;

  1. A visual analysis and identification of the people, objects and scenery. Each scene was tagged with an emotion from a broad bank of 24 different emotions and labels from across 22,000 scene categories, such as eerie, frightening and loving;
  2. An audio analysis of the ambient sounds (such as the character’s tone of voice and the musical score), to understand the sentiments associated with each of those scenes;
  3. An analysis of each scene’s composition (such the location of the shot, the image framing and the lighting), to categorize the types of locations and shots that traditionally make up suspense/horror movie trailers.

The analysis was performed on each area separately and in combination with each other using statistical approaches. The system now “understands” the types of scenes that categorically fit into the structure of a suspense/horror movie trailer. Then, it was time for the real test.

We fed the system the full-length feature film, “Morgan”. After the system “watched” the movie, it identified 10 moments that would be the best candidates for a trailer. In this case, these happened to reflect tender or suspenseful moments.

Quote

If we were working with a different movie, perhaps “The Omen”, it might have selected different types of scenes. If we were working with a comedy, it would have a different set of parameters to select different types of moments.

It’s important to note that there is no “ground truth” with creative projects like this one. Neither our team, or the Fox team, knew exactly what we were looking for before we started the process.

Based on our training and testing of the system, we knew that tender and suspenseful scenes would be short-listed, but we didn’t know which ones the system would pick to create a complete trailer. As most creative projects go, we thought, “we’ll know it when we see it.”

Our system could select the moments, but it’s not an editor. We partnered with a resident IBM filmmaker to arrange and edit each of the moments together into a comprehensive trailer. You’ll see his expertise in the addition of black title cards, the musical overlay and the order of moments in the trailer.

Not surprisingly, our system chose some moments in the movie that were not included in other “Morgan” trailers. The system allowed us to look at moments in the movie in different ways – moments that might not have traditionally made the cut, were now short-listed as candidates. On the other hand, when we reviewed all the scenes that our system selected, one didn’t seem to fit with the bigger story we were trying to tell – so we decided not to use it. Even Watson sometimes ends up with footage on the cutting room floor!

Traditionally, creating a movie trailer is a labor-intensive, completely manual process. Teams have to sort through hours of footage and manually select each and every potential candidate moment. This process is expensive and time consuming – taking anywhere between 10 and 30 days to complete.

From a 90-minute movie, our system provided our filmmaker a total of six minutes of footage. From the moment our system watched “Morgan” for the first time, to the moment our filmmaker finished the final editing, the entire process took about 24 hours.

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Reducing the time of a process from weeks to hours – that is the true power of AI.

The combination of machine intelligence and human expertise is a powerful one. This research investigation is simply the first of many into what we hope will be a promising area of machine and human creativity. We don’t have the only solution for this challenge, but we’re excited about pushing the possibilities of how AI can augment the expertise and creativity of individuals.

AI is being put to work across a variety of industries; helping scientists discover promising treatment pathways to fight diseases or helping law experts discover connections between cases. Filmmaking is just one more example of how cognitive computing systems can help people make new discoveries.

This story first appeared on the IBM THINK blog. John R. Smith is an IBM Fellow, Manager, Multimedia and Vision.

IBM Partners with MaRS Fintech Hub

Wednesday, August 31st, 2016

IBM is deepening its cooperation with Canadian fintech startups through Toronto-based MaRS, following up on pledges to help promising startups develop and commercialize their innovations.

The tech giant will join a network of corporate partners including CIBC, Manulife and payment processor Moneris in the MaRS C Suite, MaRS’ “corporate innovation district.” Partners provide startups with product feedback, advisory services and other forms of support.

“What we’re doing is saying: you have a great idea,” Patrick Horgan, VP, Manufacturing, Development & Operations at IBM Canada, said in an interview with TechPORTFOLIO in June. “You’re missing some ingredients to be successful. Let’s help you through that because we have some history of being able to get through all of those cycles and to the world market.”

As part of IBM’s partnership with MaRS, the company will provide technology and services, including access to IBM Cloud and cognitive computing (Bluemix and Watson), support for demonstration projects, data analytics internships, and “soft-landing export development opportunities.”

Fintech startups will also get assistance in opening new markets, completing international sales transactions, and connecting with new parties for collaboration.

“As IBM transitions into the physical building in the space, we’ll continue to expand the programming elements of the partnership,” Adam Nanjee, head of the MaRS fintech division, said in an emailed response to questions. “This type of collaboration tears down silos to accelerate the rate of innovation and leads to tangible, meaningful results.”

MaRS’ fintech hub aims to connect the financial services sector with startups developing next generation technology in emerging payments, financial services, peer-to-peer transactions, alternative lending and crypto-currencies.

IBM Resources:

  • Click here for a free IBM Bluemix trial.

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  • To apply to the IBM Global Entrepreneur program, click here.
  • To learn more about IBM Cloud, click here.

Related story:

Coworking in the Cloud

Wednesday, August 31st, 2016

Coworking shouldn’t be limited to former factories with exposed brick and chunky wooden beams. Shared resources should also be leveraged in the cloud, particularly for early-stage startups with limited access to funds.

Sometimes referred to as multi-tenancy, sharing space in the cloud can give startups more development flexibility, but users need to manage expectations around security, reliability, scalability and serviceability.

“Networks underpinning a cloud deployment need a higher degree of automation, programmability and multi-tenancy versus traditional non-cloud buildouts,” Andrew Lerner, Research Vice President at Gartner, said in a blog post last year. “Further, there are multiple paths to achieving automation, programmability and multi-tenancy … it’s not SDN or bust.”

As regulations around data security evolve in an age of near-daily headlines about hacking, developers, founders, CTOs and CIOs need to know what the cloud coworking options are.

For more on this, learn about the four key design considerations for a multi-tenant cloud.

IBM Cloud Resources

Click here for a free IBM Bluemix trial.

To apply to the IBM Global Entrepreneur program, click here.

Tech Sector Sidesteps “Great Reckoning” for Startups

Monday, August 29th, 2016

Startups in the tech sector have defied expectations of a “great reckoning.”

Citing Evernote, Zirx, and Bannerman as examples, The New York Times explains how tech startups have largely responded to alarm bells set off by investors, with the following results:

  • Many companies have narrowed their focus to the most profitable customers.
  • More new enterprises are leveraging artificial intelligence, robotics and virtual reality, “creating potential areas of growth for Silicon Valley technologists to build on next.”
  • Elimination of some employee perks. For example, Evernote ditched free housekeeping services.

“The startup world did heed the warnings,” Max Levchin, chief executive of lending startup Affirm, told the NYT. Levchin was a co-founder of PayPal.

Related stories:

Bluemix Case Study: Kiwi – A Motion Sensor for Developers

Wednesday, August 24th, 2016

As hackathons proliferate, the value of winning one declines.

That is, unless you turn your winning hack into a startup that attracts $2.5 million in seed funding, as Kiwi Wearable Technologies co-founder and CTO John David Chibuk did. The first iteration of Kiwi’s technology, a heart rate sensor app, was the result of a victory at AngelHack Toronto 2013.

Kiwi produces intelligent motion capture technology that analyses speed, direction, angle, and torque. The company is targeting developers looking for an easier way to integrate these functions into a variety of products.

“We found there were a variety of different products on the market that all offered a form of step counting, or different types of motion classification,” Chibuk says. “However, the software was not available for other developers or people who actually wanted to make a product.”

TechPortfolio_Twitter_Quote---August24

The device accepts development on several platforms. SDKs are available for iOS and Android, as well as for open-source electronics platform Arduino and JavaScript.

Kiwi aims to form partnerships, completing pilots for consumer and industry applications with potential use cases in sports, healthcare, and in the industrial internet of things. Pilot projects so far include integration of sensors on forklifts at a car parts distribution center.

“The aim for this pilot was to determine down time optimization – when there is a piece of equipment not being utilized, and to improve the floor workers’ schedule,” Chibuk said.

To test in the sporting arena, Toronto-based Kiwi picked lacrosse, the national summer sport of Canada, and worked with Silicon Valley-based sports wearable technology startup Snypr to capture movement of lacrosse throws and see how players’ forms developed and improved over time.

“The purpose is player performance enhancement, to see the nuances in their movement,” says Chibuk. “They can undergo different training schedules and see when they’re performing best, or when they need to alter their routines to perform better.”

Kiwi Wearables was also part of the Cannes Lions Innovation Festival 2016. Soccer players wore wristbands that recorded each kick and touch of the ball. The data was processed by Watson, and donations to charity were made for each movement.

https://youtu.be/sU8XCJtarGo

And Kiwi has strong support in other respects. FounderFuel is Kiwi’s main seed investor, and the company counts GoInstant’s Jevon MacDonald as an advisor. MacDonald gained prominence in Canada for selling Golnstant to Salesforce in 2012 for a reported $70 million.

IBM Bluemix is an integral connector in Kiwi’s technology. The cloud platform “allows for a lot of variety of APIs to be integrated quickly together,” Chibuk explains. “There’s a good methodology for distribution and hosting applications.” The device sends the recognition events to Bluemix, storing them and interfacing with an online presentation layer for clients.

One key aspect of Kiwi is the importance of accurate motion data at source. The more that data is converted and its format is changed, the more the quality degrades, particularly if the data is being captured in real time. Everything is classified on the device.

Developing for industry and the consumer market means different emphases. For the former, accuracy and high performance; the latter, keeping the cost of the parts down. “It’s the same mathematics, it’s just what’s computationally available in each of the use cases,” says Chibuk.

Kiwi aims to launch its first developer-focused product by the end of this month.

Click here for a free IBM Bluemix trial.

To apply to the IBM Global Entrepreneur program, click here.

Ethereum Community Splits After Security Fix

Friday, August 19th, 2016

The community behind the Ethereum blockchain – a system that depends on consensus – has split in two after action was taken to fix a theft.

In June, a hacker stole millions of dollars of value. Ethereum developers decided, through an informal vote, to take a “hard fork,” which involved resetting the Ethereum blockchain to its status immediately before the heist.

Those who disagreed with the hard fork in principle because they believe the blockchain must remain immutable have stayed with the old currency, which has been renamed Ethereum Classic (ETC). Those who took the hard fork are on Ethereum Core (ETH).

– Explained: What is the blockchain?

Some ETC proponents have written a declaration of independence based on principle, and say that the old, unchanged version can compete with the forked platform. “Only those communities that clearly define their values and stick to them, come hell or high water, will be successful,” says the lead organizer ‘Arvicco’.

On the other side, speaking for Core, supporters say that this kind of intervention to reverse hacks will probably be necessary again in the future. “Shit happens, and situations may arise where a fundamentalist attitude to hard forks is counterproductive,” says Jacob Eliosoff of Calibrated Markets LLC.

ETC is about 4,000 blocks behind ETH, and it’s not clear yet whether those in the non-interventionist camp will gain momentum or which side will ultimately become more legitimate.

This battle for the soul of Ethereum – and by extension, blockchain – goes down to the principle of whether problematic transactions like hacks can be reversed.

TechPortfolio_Twitter_Quote---August19---1

Banks appear to be keeping quiet about which side of this religious schism they back, but are likely grateful that this isn’t their problem yet. The financial industry, which has been experimenting with blockchain and smart contracts as a potential route to saving $20 billion a year in back-office costs, have watched proceedings with “curiosity”.

Yet while everybody argues, the original hacker has been active in laundering the value and it’s now possible they might be able to get away with at least $8.5 million worth of the cryptocurrency haul.

Without a consensus, the hacker might be the only winner.

Concierge Startups Tap Cognitive Technology

Monday, August 15th, 2016

Even concierge apps need a little help themselves to get their jobs completed.

Some are turning to artificial intelligence, a sensible solution given that significant VC funding is moving away from social media and towards businesses that utilize cognitive technology. Magic+ and Operator, personal assistant and personal shopper messenger services, use IBM Watson as an integral part of their stack.

Magic+, which received $12.5M of Series A funding in 2015 from Sequoia Capital, is an on-demand, scalable high-end personal concierge that claims to be capable of handling any task, regardless of size or scope. Users can send text messages that will help users with tasks such as arranging mutual meeting times and finding personal trainers. You can even order helicopter transport.

Requests are fulfilled through a combination of humans working as executive assistants paired with intelligent software. According to Magic, their “unique combination of humans and software is what enables us to consistently deliver an unparalleled level of service.”

Operator, set up by Uber co-founder Garrett Camp, specializes in personal shopping. You can request items by text message in very specific detail from around the world. Among other things, it keeps records of your preferences. Operator was most recently funded by three investors in a $10 million Series A round.

The same machine learning and natural language processing technology that powers these startups via IBM Watson is available by signing up to IBM’s Global Entrepreneurship Program.

Through the Global Entrepreneurship Program, up to $120K of credits are available to spend on access to IBM services that these startups use, as well as go-to-market support, technical expertise, and business mentorship.

Here’s how to apply.

VIDEO: Business Design Through an Open Method

Saturday, August 13th, 2016

Taking an idea from concept to reality can be difficult for startups. Entrepreneurs with great ideas often struggle to get the attention of prospective customers, which can make it difficult for them to grow into robust scaleups that have a strong customer base.

In order to facilitate that transition, IBM has published the Bluemix Garage Method, an open design method to help startups take an idea from conception to execution. To support this initiative, IBM has created innovation spaces for startups and enterprise to converge.

One of the most significant contributions that this initiative will make to startups is to help them connect with IBM’s enterprise customers. Startups will be able to leverage IBM’s staying power to move from the startup to scaleup stage by offering their solutions to IBM’s enterprise customer base.

To learn more about this program, watch this short video:

https://www.youtube.com/watch?v=qh6zpfR-ILY

AR Startup Skully Facing Lawsuit Alleging Fraud

Thursday, August 11th, 2016

UPDATE: Since we first published this story, Skully has been hit with a second lawsuit. This time from Flextronics, the manufacturer making the high-tech motorcycle helmets. It says Skully owes them more than $1 million. Read more about that story here.

Skully, a San Francisco startup that aimed to create an augmented reality motorcycle helmet with 180-degree vision, is facing a lawsuit alleging poor employee practices and “fraudulent” use of funds on last-minute plane tickets and strip clubs.

Former Skully executive assistant Isabelle Faithhauer, who undertook bookkeeping duties for Skully, said in the lawsuit that the two co-founders “intermingled personal funds with corporate funds and used the corporation as a tool to pay their personal expenses.”

These expenses included:

  • Personal groceries and restaurant bills
  • Lamborghini rental
  • Trips to Bermuda and then to Hawaii on 24 hours’ notice
  • $2,000 on a Déjà Vu strip club

The allegations stand out, even in a culture that celebrates zip lines over pools as a channel for coding creativity. If they’re true, Skully would be an egregious example of startup culture going awry after raising huge interest and funding; another being the rise and sudden decline of Zenefits.

The lawsuit also claims that Faithhauer was not paid due overtime, that one of the founders called her autistic son a “dog,” and that she was fired after taking one week’s approved vacation.

Skully received $2.45 million in crowdfunding from IndieGogo and $11.5 million in Series A funding from Intel and Walden Riverwood Ventures.

Skully now plans to file for Chapter 7 bankruptcy, according to CNN Money. Co-founder Marcus Weller said: “We plan to vigorously defend ourselves against these claims. We strongly believe we will be vindicated in the end.”

A full copy of the lawsuit is available on Scribd.com.

Cognitive Computing Helps Vision Impaired

Tuesday, August 9th, 2016

Data analytics, a force for change in nearly every business, is now being leveraged to make lives easier for the vision impaired by increasing the graduation rate for guide dogs.

According to Guiding Eyes for the Blind, a nonprofit that breeds and trains service guide dogs, a mix of genetic and temperament data combined with natural language processing will bump the graduation rate to 59 percent from fewer than half. The initiative is also expected to lower the $50,000 cost to train each dog.

Guiding Eyes is using a combination of IBM Bluemix and Watson to analyze the organization’s structured and unstructured data. By moving half a million medical and genetic records and more than 65,000 temperament records to the cloud, Guiding Eyes uncovered insights into genetic, health, behavioral, and environmental factors that correlate to successful guide dog behavior and performance.

The organization is also applying natural language processing to trainer and foster family questionnaire answers to uncover insights into personalities and temperaments. This information is expected to improve the process of breeding, raising, and matching service dogs to owner.  

Cognitive Potential

Cognitive computing simulates human thought processes in a computerized model. According to author Bernard Marr, who has written several books about big data in business, the intent of cognitive technology is not to replace humans, but to expand on our capabilities and allow us to better process and understand the world around us.

IBM executives recently told Fortune that cognitive computing or machine learning is expected to become a $2 trillion USD market in the next 10 years, in addition to the $3 trillion opportunity in more traditional IT gear like servers, software, storage boxes. For startups, it presents a lucrative opportunity that can help deliver more innovative solutions and enhanced customer experiences across every industry.

For a free trial of IBM Watson Analytics click here.

For a free trial of IBM Bluemix click here.

Law Firm Uses Data Analytics to Give Clients Cost Certainty

Thursday, August 4th, 2016

International law firm McMillan LLP will begin using predictive analytics to create pricing models for its legal services to provide more cost certainty for clients.

By leveraging IBM’s comprehensive predictive analytics system, SPSS, and running the system on IBM Cloud, McMillan aims to remove subjectivity from the pricing process, according to announcement from McMillan and IBM. By analysing and interpreting McMillan’s internal data, the cloud-based solution will also help identify case issues most likely to affect price.

“We’ve seen how cloud and big data can transform business,” McMillan CEO Teresa Dufort, said in the statement. “We’ve chosen to be at the forefront of the legal industry using advanced analytics to service our clients. By partnering with IBM, we are looking to provide clients with greater transparency on the timing and cost of transactions.”

Dufort adds that the extra data and intelligence will allow the firm to better manage change and improve staffing, and provide clients with alternative fee options. The firm also plans to use IBM’s Bluemix platform to develop new app services, which will be exclusively available to McMillan’s clients.

“Analytics can be a catalyst for innovation to help organizations uncover data insights to solve business problems and yield real-time results,” says Tim White, Vice President, Software, at IBM Canada. “Data is the world’s new natural resource.”

McMillan has several practice areas including antitrust, commercial real estate, M&A and natural resources.

For a free trial of IBM Bluemix click here.

The Open Community Behind the Bluemix Cloud

Wednesday, August 3rd, 2016

The promise of cloud computing is scalability, collaboration, and dependability. But unless developers have access to a platform built around their needs and their preferences, the cloud remains limited in its ability to support enterprise solutions, a market worth upwards of $38 billion.

Until recently, using the cloud meant having the advantages of scalable power while relinquishing the control of an on-premise environment. IBM saw this gap as an opportunity and it became the basis for a new breed of Platform as a Service (PaaS), known as Bluemix.

The PaaS part of the cloud market is worth $12 billion, and is expected to be worth $55 billion by 2026.

Adam Gunther, Program Director, Bluemix Offering Management says that IBM started developing Bluemix from a user-based focus. “The next billion dollar idea always starts with a developer, alone in a coffee shop – that’s no different if you’re a startup or an enterprise.”

But the path from billion dollar idea to billion dollar app can be a messy one, full of obstacles like buying and configuring servers, creating application environments, and a hundred other tasks that prevent a developer from actually developing. Public cloud platforms were alleviating this, but as Gunther points out, there was still room for improvement.

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“What used to take 18 months, we can now do in a month,” Gunther says. “But that still isn’t fast enough. How does an enterprise, or just one developer, keep up with Silicon Valley?”

Speed and agility are important to developers, as BuildFax Founder and CTO Joe Emison told TechTarget. “Anything developers pick that they say allows them to deliver better software more quickly is going to win.”

Bluemix came out of this mission to create a cloud platform that could significantly speed up the process of developing scalable, enterprise-class apps, with the developer designed to be at the centre.

IBM was already in possession of a powerful Infrastructure as a Solution (IaaS) platform after acquiring SoftLayer, so the design team looked at the emerging PaaS market and came up with a product that not only differentiated IBM from other vendors, but provided IBM’s clients with a way to differentiate themselves from their competition.

Bluemix was built on Cloud Foundry, with support for open standards an integral ingredient in its architecture.

“What’s cool about Bluemix is that it gives devs in large organizations a secure sandbox to play in,” says Bryan Smith, CEO and co-founder of Toronto-based ThinkData Works, which is focused on providing APIs to standardized and normalized data from public sources.

Smith and his co-founder chose IBM Bluemix as their PaaS because of their commitment to providing developers with great tools. “They have a really similar mandate to ThinkData,” Smith says. “We look at it from a data perspective while IBM looks at it from a developer’s perspective.”

The Bluemix team opted for an open community model, combining the one million-strong developer membership of IBM DeveloperWorks with millions more on Stack Overflow. The benefit to this approach is, once again, speed for the developer. “Devs don’t want to call up tech support and ask for help,” Gunther says. “They want to Google the problem and come up with an answer quickly on a forum. The larger the community, the faster people can move.”

Open source technology

OpenWhisk, like Amazon Lambda and Google Cloud Functions, was released earlier this year. It is an event-driven “serverless” execution environment (sometimes referred to as a compute platform) and offers significant reductions in complexity and cost for developers who want to take advantage of microservices – small and light functions that do not require massive computing overheads. Instead of paying for the continuous up-time of a server, devs need only pay on a per-call basis.

Unlike Lambda and Cloud Functions, however, OpenWhisk is entirely open source. Not only can developers get under the hood and look at its inner workings, they can run the source code (and modify it) on their own, private machines.

As important as open technology and community support are, they aren’t enough to propel a PaaS product to be the preferred choice of developers and enterprise. For that, you need to offer users a large choice of software and services that can be quickly and cost-effectively integrated. This is one of Bluemix’s key selling points – a model that Forbes’ Greg Satell called “an app store for the cloud at enterprise scale.”

There are two major elements to this model. The first is the ability for Bluemix developers to choose from four application environments in which their code can be executed: OpenWhisk, Instant Runtimes (Cloud Foundry), IBM Containers (Docker), and IBM Virtual Servers (OpenStack).

Being able to choose an environment based on the design of your code without the need for multiple vendors or infrastructures is a huge advantage. If developing from scratch, devs can use OpenWhisk, an ideal environment for cloud-first projects, due to its cost-effective event-driven architecture described above. Meanwhile, given the increasing drive to move IT resources from legacy on-premises environments to the cloud, the option to create Docker-based IBM Containers or set up OpenStack deployments on IBM Virtual Servers means there’s no need to re-write for the cloud.

The second element, known as the Bluemix Catalog, is populated by a vast and growing array of services created by both IBM and third parties, across 13 categories including Data & Analytics, the cognitive technology of IBM Watson, Security, and Internet of Things, just to name four. Being able to bring these services to bear on a project allows apps to possess capabilities that simply couldn’t exist anywhere else.

Avoiding lock-in, reducing cost

Gunther points to Bluemix client GameStop, who came to IBM with a problem: daily inventory of their used game sales across their hundreds of locations consumed too much time and money. Employees had to manually identify every game box so that they could reconcile them with the game discs – every night.

GameStop was able to leverage IBM Watson’s neural net processing within a Bluemix app to process image captures of store shelves. Watson was able to return accurate counts for the video game boxes – sorted by title – even when the boxes were partially obscured or tilted on their sides.

Having access to IBM technologies such as Watson is a huge benefit to developers, but historically IBM hasn’t been an easy choice for them. “Over the last 20 years or so, we developed a reputation of being great and powerful, but really hard to use,” Gunther says. To counteract that perception, Bluemix was built to address two major considerations: lock-in and cost.

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A lot of companies do worry about lock-in,” Dave Hrycyszyn, Director of Strategy & Technology at Head, told TechRadar in 2015. Bluemix avoids this concern. “We go in assuming that multi-cloud and portability are must-haves,” Gunther says, pointing out that any company which makes this difficult for clients won’t see adoption of its platform.

Bluemix’s commitment to open standards helps with this greatly, as does its policy of not forking these open technologies.

“You could run a CloudFoundry app on Bluemix one day, and HP the day after that,” Gunther says. IBM has also taken the position that its Bluemix services should be portable too. If you developed an app on Bluemix with calls into the Watson service for example, you could move that app to another cloud provider or even take it in house. As long as the Watson API key remains the same, you’ll still be able to access that service from your app.

As far as cost goes, Bluemix has a free 30-day trial with 2GB of runtime and container memory to run apps – no credit card needed. There are free service and app tiers designed to let anyone experiment at no cost. Once you’re feeling comfortable, there’s a “down-to-the-penny” pricing calculator which gives precise numbers for every component of the Bluemix platform.

A strategy that focuses on the user, instead of the technology for its own sake, means that developers can concentrate on getting their work done. “Community and open technology are the underpinnings of our entire technical strategy,” explains Gunther.

For a free trial of IBM Bluemix click here.