Archive for the ‘IBM’ Category

Fans Getting Closer Than Ever to Tour Action Thanks to the IoT

Wednesday, April 27th, 2016

As the official technology partner for the Tour de France, Dimension Data is changing the spectator experience of the world’s most prestigious cycling race with the IoT. Using IBM’s InfoSphere Streams analytics platform, Dimension Data monitored the real-time geolocational data of almost 200 riders over 21 days.

Every bicycle in the race was equipped with GPS sensors and a sophisticated relay system that transmitted data to apps, websites and broadcasters, giving fans and media the ability to track a rider’s progress throughout the race. The experience was no longer limited to a manual process that involved radios, stopwatches, and chasing riders on motorcycles to read the numbers on their shirts.

Dimension Data’s IoT solution provided a “positional fix every second, the latitude and longitude and the speed of every single rider,” IBM Asia Pacific’s Big Data Technical Leader Chris Howard told ReadWrite. “And from that raw data, we then did lots of things to determine their journey so far, how far they’d progressed, the ranking of the riders, the distance and times between all of the riders.”

In the future, a related IBM technology known as Quarks will provide cycling fans, broadcasters and team strategists deeper insights during the Tour. Quarks is an open source platform that lets developers create IoT applications to analyze data on the edge of their networks.

Howard believes that sensitive information such as “power output data, cycling cadence, pedalling cadence, respiration, [and] heart rate” could be gathered and used in a competitive nature.

To read more about how IoT is disrupting the Tour de France, please click here.

Halliburton Chooses IBM Cloud to Help Cut Oilfield Development Costs

Wednesday, April 20th, 2016

Halliburton, the global oilfield services company that works with many of the world’s largest oil and gas players, has adopted IBM Cloud to run more detailed reservoir simulations, which may help struggling producers cut costs.

Record low oil prices, caused by strong output among oil producing nations amid weaker global demand, have put pressure on producers of the fossil fuel to lower extraction costs. Crude oil prices have fallen by more than half in the past two years, and talks between OPEC and Russia aimed at curbing production have stalled.

“Using high performance computing of the IBM Cloud, we can run very detailed simulation models and evaluate a wide range of field development options, which translates into better field development plans for our clients and a competitive advantage for our business,” Steven Knabe, a Halliburton Consulting director, said in an IBM statement.

The world’s biggest oil companies are expected to report their worst quarterly earnings in more than a decade because the industry’s cost-cutting efforts haven’t yet offset the decline in crude prices, Bloomberg reported. This adds pressure on producers to leverage technology to help plan reservoir development in a way that maximizes returns.

Like many industries, oil and gas companies are turning to technical advances available through cloud computing, data analytics, and machine learning to boost productivity.

And there is room for growth. “While some oil and gas companies have invested in their analytics capabilities, many struggle to get their arms around this powerful new opportunity,” consulting firm Bain & Company said in a report titled “Big Data analytics in oil and gas.”

Adopting IBM Cloud technology allows Halliburton to “quickly run hundreds of simulation cases to forecast the possible behavior of complex oil and gas fields,” according to the IBM statement, which doesn’t disclose terms for the company’s usage of IBM Cloud.

IBM markets a range of solutions for enhancing production, improving processing efficiency, and optimizing global operations for the oil and gas industry.

Halliburton Consulting specializes in formulating development plans for both new and mature fields.

Smart Cities Take Root in Canada as Apps Learn to Improve Services

Friday, April 15th, 2016

In 2014 the City of Surrey, B.C. launched Surrey Request, an app developed to field requests for service, including waste collection and road repair. The result? The city saves as much as $91,875 each year, a figure that’s expected to increase as residents acclimate to the automated service.

According to Sean Simpson, Surrey’s Director, Information Technology, in-person requests cost the city $9 per transaction while a phone calls cost $4.50. In contrast, a request sent through Surrey Request costs as little as $0.25. The self-serve channel now handles 15 percent of the 70,000 requests it receives annually.

Surrey took its smart city initiatives a step further when they partnered with tech startup Purple Forge last year to pilot the company’s Powered by IBM Watson solution. Available through the ‘My Surrey’ mobile and web apps that residents use to gather city information, including government services and job opportunities, the solution will further reduce Surrey’s reliance on telephone-based services.

The app uses IBM Watson’s advanced cognitive and natural language capabilities to answer residents’ questions about city services. Now, Surrey residents can hit the app and ask it, for example, how to contact animal control in the event that a cougar wanders into someone’s back yard. My Surrey will then reply with an email address and a phone number.

Building Entrepreneurs

The drive to make cities smart provides more than just faster answers to questions about municipal services. It gives entrepreneurs responding to the demand the opportunity to create solutions that can be commercialized. This ultimately builds the depth and breadth of startup ecosystems because the solutions that get deployed in smart city initiatives can often be adapted for other applications.

The concept of ‘smart cities’ has gained traction since the 90s with the rise of Information Computer Technology (ICT). In an interview with Wired, Gerhard Schmitt, professor of information architecture, and leader of the ETH Future Cities Laboratory in Singapore, said cities are “limited to technical data sensor inputs, control systems, apps”. To be ‘smart’, “cities need to be responsive this is a human-focused approach, where citizens can give feedback on the functioning of the city to those who run it.”

Working closely with multinational corporations, academic institutions, and tech startups in its top-20 ranked tech ecosystem, Singapore is taking a holistic approach to solving complex problems like urban density, energy sustainability, healthcare, mobility, and more, by leveraging technology.

“Technology builds its knowledge”

Given that 50 to 80 percent of requests submitted to service centers are for common questions, and apps like My Surrey can provide a potential savings of $4 to $6 per call, cities switching to smart solutions can improve their bottom lines. In a press release from Purple Forge, Councillor Bruce Hayne, Chair of Innovation & Investment Committee stated that “IBM Watson’s learning abilities are such that the technology builds its knowledge and improves as citizens use it.”

My Surrey is one of several IBM Watson-powered smart city initiatives in Canada. As cities transition to smart initiatives, measuring a city’s IQ, developing ‘telepathic cities’, and building ‘smart nations’, may become the norm.

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Tech startups like Purple Forge have recognized that multiple opportunities leveraging their own IP exist within the public and private sectors. The company’s clients include five municipalities in the U.S. and Canada, as well as hospitals such as Norfolk General Hospital and industry associations including the Institute of Scrap Recycling Industries.  

Many Canadian cities are struggling with strained budgets as prices and demand for energy products fall, making more people dependent on provincial or municipal programs. As savings allow cities to divert funds to other priorities, and as the learning abilities of smart city apps improve the experience for users, smart technologies are likely to become more of a necessity than a nice-to-have.

Other Canadian startups pursuing smart city initiatives include Toronto-based Drven, and Kitchener-Waterloo based Miovision, which launched Spectrum, an app that sends messages to technicians if a traffic cabinet problem occurs.

Canada’s Big Banks Turn to Hackers for Innovation

Thursday, March 31st, 2016

Canada’s banking system emerged largely unscathed by the global financial meltdown that started in 2008, earning the country so much credit that the Bank of England drafted Mark Carney, the Bank of Canada’s governor throughout the crisis, to be its leader.

Prudent Canadian lending practices, however, haven’t translated into innovation. According to MaRS, the Toronto-based non-profit that commercializes home-grown tech, Canada’s financial center and largest city is ranked ninth globally for fintech innovation. Global investment in fintech ventures jumped to about $12.2 billion in 2014, according to a report from management consultancy firm Accenture, making it a key area for any city aiming to stand out as a tech ecosystem.

“The big banks are a little late to the game, but we have the major ingredients for a strong fintech ecosystem,” says Robert Antoniades, general partner and co-founder of Information Venture Partners, a Toronto-based venture capital firm.

Hackathon

Go Grassroots

One way for big institutions to engage with the next generation of innovators is through grassroots meetups. Scotiabank recently delved into hackathons for the first time, hosting their Debt Challenge, where 100 coders and designers crammed into the bank’s boardroom for a 40-hour competition.

“I met my team for the first time in the conference room,” says Mohit Kishore, a 23-year-old computer science student at York University in Toronto. Kishore had been to hackathons before with Royal Bank of Canada (RBC) and coder meetups. “I prefer to work with new people,” he says. “Working with those you know doesn’t always produce new ideas.”

Mohit’s team created SCOTTY (Scotiabank Optimization Tool for You), a personal financial advisor built with Android, IBM’s Watson—which leveraged its powerful machine-learning capabilities—and their cloud platform Bluemix.

SCOTTY scored the team second place. Piggly, a Tamagotchi-like piggy bank where users have to spend real money to keep it alive, won the $15,000 grand prize.

 

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“One of the guys on the team saw a similar concept discussed on Reddit,” says Cassandra Hui of the winning team, who developed the idea in advance. Hui even sat down with credit counselors to figure out how to gamify paying off debt. They’re now in talks with Scotiabank over how to potentially implement Piggly through the bank’s Digital Lab.

Be Aggressive

Hackathons are one way Canadian banks can innovate but they still need to share ideas and be more aggressive, says Antoniades.

“What I like is that each big institution now has an innovation strategy,” he says. “We’re still seeing banks wanting exclusivity.

“Banks need to be able to make quicker decisions with a technology. But it’s only a matter of time before that changes.”

Are you a developer looking to innovate? Try IBM’s Bluemix for free for 30 days.

Incubator Connects Startups to AI

Thursday, March 31st, 2016

Qualified Ontario tech startups hope to benefit from a new public-private sector funding program meant to help them use advanced computing technologies including artificial intelligence to grow their businesses. The program is part of the province’s efforts to create jobs and foster the development of globally competitive technologies.

The new IBM Innovation Incubator Initiative, largely funded by the Ontario government’s Ontario Centres of Excellence (OCE) and technology giant IBM, is expected to support about 500 small and medium-sized companies in the province. Ontario is putting up $22.75 million (Canadian) through the “Strategic Partnerships Stream” from its Jobs and Prosperity Fund, while IBM is contributing $24.75 million. Another $7 million will come from industry contributions, according to OCE, which says the money is expected to generate more than $410 million in private sector investment and create up to 2,600 jobs.

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Life Saving Data

One business hoping to benefit is LifeLearn Inc., a Guelph, Ontario-based software company that provides veterinarians with instant access to medical research and information to better treat their furry patients. The platform, called Sofie, is powered by IBM Watson, an artificial intelligence system that uses natural-language processing and machine learning to derive insights from large amounts of unstructured data.

“A lot of startup entrepreneurs don’t necessarily have the background to develop really articulate business plans, so it’s hard to get funding,” LifeLearn president and CEO JamesCarroll says. “It boils down to access to capital to accelerate the growth process.”

LifeLearn sales have grown 30% annually over the past three years, and the company has added 24 jobs since it entered into a partnership with IBM in 2014, for a total of 64 positions today, according to Carroll.

Future With AI

While that’s already impressive, “If we had access to something like the [IBM Innovation Incubator Initiative] back then, we could have scaled that in 30 or 40 percent of the time,” Carroll says. That includes commercializing the product sooner and hiring even more staff.

“We have some pretty lofty goals with our Watson application,” says Carroll. One is to enable the Sofie program to interpret medical images, and not just text, as it does today.

With programs like the IBM initiative, Ontario hopes ventures like Carroll’s will scale up faster and strengthen its attractiveness to startup entrepreneurs and investors.

The Strategic Partnerships Stream of Ontario’s Jobs and Prosperity Fund promotes “enabling technologies” in sectors that include life sciences, financial services, information/communication, aerospace, and clean tech.

Jeopardy-Winning Supercomputer Could Be Toronto Raptors’ MVP

Thursday, March 31st, 2016

Big data and artificial intelligence have become game-changers for major league sports — an industry that drives more than $10 billion in economic value — by giving managers increasingly effective tools to bring their teams into the finals.

In “Big Data Analysis is Changing the Nature of Sports Science,” MIT Technology Review analyzed how those with the largest vested interests in sports are trying to use data “to gain a competitive advantage, whether in real time during the game or to help in training, preparation, or recruitment.”

As part of the data race in professional sports, the Toronto Raptors partnered with IBM to leverage the tech giant’s Watson technology platform. The computer – well known for its appearance on Jeopardy! – can parse huge amounts of unstructured data, and learn from these data sets, to answer questions accurately in a variety of fields. In the world of sports, Watson can collect statistics, medical records, video, and social network sentiment, and use them to help the team decide if a given player fits the team’s needs (physically or mentally), can stay healthy and looks likely to succeed.

Where scouts can analyze a player’s performance in the moment, Watson’s cognitive abilities can examine more of the intangibles — for example, if a player’s attitude aligns with the team’s competitive atmosphere. Big data can theoretically stop toxic player relations before they start.

Sponsorship Returns

Teams that perform well generate more viewer interest, and thus get a bigger cut of the $24 billion in TV broadcasting deals that the NBA clinched for the nine years starting in 2014. Sponsorship agreements with brands like Pepsi and Anheuser-Busch raise the stakes even higher.

The Raptors-IBM partnership is still in its early days, and Watson’s data may, in the future, include medical data — perhaps players will even use wearables to track their health in real time. The idea isn’t to completely replace coaching staff and other advisors; it’s to build on the human element.

Athletes, coaches and front office staff have in the past had difficulty communicating their needs, but big data seems to be changing that with easier-to-interpret and more meaningful data.

“The biggest transformation in the world of sports isn’t simply the fact that there is so much more data available — it’s the fact that it’s breaking down barriers between groups that were historically distinct and sometimes struggled to communicate,” sports analyst Dash Davidson wrote for VentureBeat.

Catch of the Year

Meanwhile, baseball fans now have more statistics to look at than ever, in a sport where statistics are king. In April 2015, MLB Advanced Media (MLBAM) launched StatCast, which allows for deeper looks at every hit, defensive play and pitch, using an array of radars and hi-res optical cameras.

To herald the launch, MLBAM demonstrated StatCast’s abilities by analyzing the Blue Jays’ most jaw-dropping catch of the year, courtesy of outfielder Kevin Pillar. Last year, the Tampa Bay Rays’ Tim Beckham hammered a pitch deep into left field. Running out of room, Pillar used the left-field wall as a brace and sprung himself high enough to catch the ball. StatCast tracked Pillar’s top running speed (15.2 miles an hour), his distance covered (81.3 feet) and even his route efficiency (97.9%).

Since then, StatCast has given fans an endless array of data to further measure performance. It can give a deeper look at home runs, for example. On September 6, 2015, the Chicago Cub’s Kris Bryant hit the longest home run of the season. StatCast revealed just how impressive it was: It left Bryant’s bat at a scorching 111.5 miles per hour at a launch angle of 33 degrees and was projected to fly 495 feet.

StatCast’s petabytes of data can help general managers compare hits and defensive plays against players’ previous records. Players themselves, in turn, have better video to learn from.

On September 16, 2015, former Jays pitcher David Price wanted more insight into how Ryan Goins got an out on what looked to be an infield single from the Atlanta Braves’ Nick Markakis. Price asked StatCast on Twitter to analyze the play, and eventually analysis showed Goins took his first step just 0.24 seconds after the ball left Markakis’ bat. He covered 24.8 feet and threw the ball at 66.5 mph to achieve the out at first base.

Just as with the Raptors-Watson partnership, StatCast will no doubt become an important tool for front offices in their draft-pick decisions. Digital enhancements look to become as important as home runs and three-point shots.

Shopify Takes Vacant BlackBerry Throne—And What’s Next for Ontario

Thursday, March 31st, 2016

Analysts tempered their expectations in early 2015 when Shopify announced an IPO to raise $100 million. At the time, the e-commerce software company had 165,000 clients ranging from press-on tattoo retailer Tattly to Tesla Motors. If share prices held during the IPO and Shopify retained its $713 million valuation, the offering would be deemed a success.

After the implosion of Nortel and the missteps of BlackBerry, Canada wasn’t exactly a symbol of tech success. Ottawa-based Shopify’s IPO offered a chance to restore some faith in the country’s innovation capability. A free-fall in the price of oil, which was about wipe out tens of thousands of jobs in the energy sector, raised the stakes even higher.

Shopify’s valuation didn’t just hold, share price soared. By the time the IPO was over, the company was valued at $1.9 billion — more than double initial expectations.

Success stories like Shopify underscore the importance of Ontario’s startup ecosystems of Kitchener-Waterloo, Ottawa, and Toronto to the economic growth and innovation of the province and nation. They generate wealth and attract foreign investment.

In 2015, Canadian venture capital investments hit a 10-year high thanks to 536 deals totalling $2.3 billion (Canadian). Of that amount, $1.25 billion was invested in Ontario, according to the Ministry of Research and Innovation.

Direct Economic Returns and Job Creation

Ontario tech ecosystems also provide significant, direct economic returns and spur job creation. According to the Kauffman report, The Importance of Young Firms for Economic Growth, new businesses account for 20% of gross job creation in the U.S., while research findings from Nesta in the U.K. indicate that 6% of young, high-growth firms create half of all jobs in that country.

These patterns align with the economic impact seen in Ontario, as noted by the Ministry. Within the Ontario Network of Entrepreneurs (ONE), 5,899 new jobs were created and an additional 8,970 jobs/year were retained over the last two years. Furthermore, through the risk capital programs currently in place, the ministry expects a return of $10 for every dollar invested.

While startups make substantial contributions to Ontario’s economy, the province also has much to offer tech startups. Software engineers making less than half of what their Silicon Valley counterparts do are abundant, and this will help keep the operating costs of startups down.

Cultural diversity within the province brings different perspectives and skill sets to the table. Federal and provincial R&D tax credits are generous – a company spending $210,000 (Canadian) on R&D could receive a refund of $135,000 in investment tax credits.

Given the increasing desire by the national government to support Canadian tech, and the province’s recent investment in the IBM Innovation Incubator Initiative, the Kitchener-Waterloo, Ottawa, and Toronto tech ecosystems may improve their global clout.

While tech companies are spread out throughout the province, clusters of high-performing startups exist within the Kitchener-Waterloo, Ottawa, and Toronto areas. These regions are producing internationally recognized tech companies with high valuations other than Shopify, including Freshbooks, Open Text, Kik Interactive, and Wattpad.

The characteristics of Ontario’s main tech ecosystems, and their respective economic impacts, are outlined below.

Kitchener-Waterloo:

Shopify was not the only Canadian tech company in the spotlight in 2015. Kitchener-Waterloo’s Kik secured unicorn status, and is one of two Canadian companies currently holding that title. Altogether, the Kitchener-Waterloo ecosystem has produced 1,845 new tech startups, thanks to the era ushered into the region by BlackBerry.

Communitech, an innovation centre, home to 1,000 startups, was co-founded by regional entrepreneurs including Jim Balsillie, former of CEO of RIM, the makers of BlackBerry. Today, BlackBerry’s former employees fill the workspaces of the region’s most successful tech startups including D2L and Freshbooks.

From 2014 to 2015, financing in Kitchener-Waterloo grew 97%, compared to the Canadian average of 5%. Although Kitchener-Waterloo is no longer considered a top 20 tech ecosystem, its drop from the ranking follows the removal of “startup output per capita” as a performance metric, not poor performance. It retains a growth index of 2.45, higher than half of the world’s top 20 ecosystems.

A 2013 PriceWaterhouseCoopers survey attributes more than 20,000 jobs to tech companies located in Kitchener-Waterloo. One of the biggest components of its success is the University of Waterloo, which accounts for $2.614 billion (Canadian) in annual “economic impact,” according to the study. The university’s comprehensive co-op program churns out top entrepreneurs and engineers sought by Silicon Valley’s tech giants, and its incubator, Velocity, has contributed to the success of startups like Kik and Vidyard.

Despite its impressive overall performance, a number of factors prevent Kitchener-Waterloo from fulfilling its potential. Techvibes notes that startups in the region raise a quarter of the funding received by their U.S. counterparts, and are four times less likely to obtain financing. In Silicon Valley, the bulk of angel investors are former startup CEOs who reinvest in the ecosystem.

In the Kitchener-Waterloo region, only 20% of former CEOs are investing in 80% of the companies, suggesting that an underlying fear of failure is hampering the region’s success.

In addition, its small size and relative isolation from Toronto is preventing the region’s startups from connecting with funding and resources. Infrequent, one-way trains hinder easy transit between Kitchener-Waterloo and Toronto, and a high-speed rail initiative connecting the two tech ecosystems will take 10 years to build and cost $2-3 billion (Canadian).

By contrast, Slovakia has entered discussions with Hyperloop Transportation Technologies to build a high-tech train that will carry passengers from Bratislava and Vienna or Budapest in 10 minutes or less for $200-300 million by 2020.

Ottawa:

Shopify’s success has revived some of the recognition that Canada’s capital city once received as a tech ecosystem, and the area buzzes with hopes of potential IPOs in the coming years. Ottawa hosts 1,700 tech companies, ranging from startups such as Series B, funded Kilpfolio, as well as being the location for the regional offices of multinationals including Apple and Facebook.

Ottawa also has the highest concentration of science and engineering employment in North America, outside of Silicon Valley, perhaps due to the numerous multinationals that also make Ottawa their Canadian headquarters, including IBM, Cisco, and Ericsson.

The Conference Board of Canada estimates Ottawa’s tech industry enjoyed a robust 8% annual growth over the past 5 years, higher than the global annual tech market growth rates. Aside from Shopify, its most notable and successful startup, Ottawa companies brought in upwards of $100 million (Canadian) in VC financing in 2015, including Corsa Technology, GaN Systems and You.i TV.

While the Ottawa tech ecosystem has experienced a recent bout of success, it still has a long way to go. Ottawa enjoyed its ‘Silicon Valley of the North’ status for number of years with notable examples including Nortel.

When the dotcom bubble burst in 2000, Ottawa’s pedigree fell. To date, there are no direct flights from Ottawa to San Francisco, an unnecessary obstacle between startups and Silicon Valley VCs. During the 2000s, Ottawa experienced dozens of venture-backed startup failures and former giant tech companies were either downsized, sold off, or disappeared.

For the most part, recovery has been slow and bootstrapped. If Ottawa wants to regain its global status in the sector, it needs to capitalize on recent success by pursuing venture capital both within and outside the city. At the very least, it needs a direct flight to San Francisco.

Toronto:

According to the 2015 Global Startup Ecosystem Ranking report, Toronto ranks 17th among the top 20 global tech ecosystems, the highest of any Canadian city. Canada’s most- (and North America’s fourth most-) populous city hosts between 2,500 to 4,000 active tech startups, with notable examples including Nymi and Chematria.

Efforts to cluster startups in the downtown core are underway. Increased support for incubators and accelerators such as Ryerson DMZ, home to IBM’s Bluemix Garage, has created 1,833 jobs. Foreign investments, driven by the elimination of taxes on capital gains, are bringing more money into the province. In 2015, Toronto saw a 30% increase in total venture deals from 2014. These are all signals that the city’s tech ecosystem is headed in the right direction.

However, unlike Kitchener-Waterloo and Ottawa, Toronto has yet to produce a unicorn. Despite efforts to cluster startups, tech companies are still dispersed throughout the city and its surrounding suburbs. An underdeveloped transit infrastructure is seen as an obstacle.

Unlike other global tech ecosystems such as Tel Aviv, Toronto lacks founders with hypergrowth-company experience, an important factor in scaling up. Toronto dropped 9 spots in the 2015 Global Startup Ecosystem Ranking report, largely due to a slow growth rate, which lagged behind Berlin, Sao Paulo and Bangalore, among others.

Support for billion-dollar companies:

In the near future, the current decline of the Canadian dollar could make Ontario’s tech ecosystems more lucrative in the eyes of foreign investors who contributed $591 million in venture capital in 2015, as reported by the Research and Innovation Ministry. Disruptive tech startups in emerging industries such as fintech, connected cars, artificial intelligence, IoT, and smart city technologies will have a critical economic impact in the next 5 to 10 years.

In response, Canada’s federal government has identified the need to attract large corporations to participate in incubators and accelerators as one of six key priorities to ensure Canadian tech startups become billion dollar companies. This could translate into more strategic partnerships that would yield benefits experienced in other global tech ecosystems, such as Singapore.

There’s one wildcard for the health of Ontario tech innovation: how the province’s basic income pilot program could impact startups and entrepreneurs.

In the meantime, Ontario’s entrepreneurs face the same headwinds hitting those in the U.S. and elsewhere in terms of funding. The volume of venture capital investment in North America dropped off sharply in the last quarter of 2015. A joint report released by KPMG International and CB Insights pointed out that a number of IPOs fell short of expectations. It also stated,“VC investors could be less willing to invest in innovative companies without a far stronger business case for how their new business models should create profit over the longer term.”