Archive for the ‘IBM’ Category

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:

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.

AI and Big Data: The Next Frontier of Fintech

Wednesday, July 27th, 2016

Data analytics is becoming a cornerstone of the financial industry, with startups and established financial service firms looking to give investors clearer guidance with information collected and captured from multiple sources.

Advances in machine learning and artificial intelligence (AI) in particular are providing greater insights and better customer experiences.

AI-powered data analytics not only captures vast amounts of data in real-time, but also helps users understand how different data points relate to each other, providing insights that might otherwise be lost. Faced with a breakdown in brand loyalty as younger customers prioritize user experience, financial services are now racing to leverage data-driven cognitive technologies.

Cambridge, MA-based Kensho, which recently received $58 million in funding from Goldman Sachs, San Francisco-based Alphasense, backed by Tribeca Venture Partners, and Toronto-based Bigterminal are some of the fintech players leveraging AI.

It’s a lucrative market. Equity deals for AI startups, including fintechs, has increased nearly six times to nearly 400 in 2015, up from from 70 in 2011. As of June 15th, more than 200 AI-focused startups raised nearly $1.5 billion (U.S.) in funding this year alone.

 

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“Data is the lifeblood of AI,” Falguni Desai of Future Asia Ventures wrote in Forbes recently. Desai quotes Adrian Lawrence, partner at Baker & McKenzie, in saying: “data and the various rules and processes which both enable and regulate access to and use of that data, stand at the heart of disruptive fintech businesses.”

The market is also “evolving from a descriptive analytics model (rear view mirror view) to a predictive analytics model (insight GPS view),” says Jim Marous, co-publisher of  Financial Brand.

“With predictive analytics, we are in a better position to ‘know the consumer,’ ‘look out for the consumer’ and ‘reward the consumer,’” he writes, “learning from previous experiences and predicting future behaviour.”

Bigterminal CEO Adam Rabie says advances in machine learning are allowing fintech platforms like his to do more for their customers.

Powered by IBM Watson, Bigterminal’s solution curates, consolidates, and analyzes financial data from markets, social media, and other sources. The company’s target market includes researchers, analysts, and traders as well as big banks and insurance companies. Bigterminal’s app can be used to conduct research, generate hypotheses, and make decisions based on significantly more data than what financial analysts traditionally use.

“Previously unthinkable”

Leveraging IBM Watson’s cognitive technology has allowed Bigterminal to do what was previously unthinkable, Rabie says.

“Our machines are computing hundreds of thousands of stories a day, millions of tweets, and trillions of financial data points,” he says. “If it can be smart at finding the anomalies and the connections between them, it can deliver a lot of explanations that are outside of human capacity.”

Developer FYI

Other notable financing in the space includes a $325 million Series E round last year for Avant, a personal-loan startup that leverages machine learning. Seattle-based fintech Kavout also recently launched a new investment platform that finds trading opportunities using tools powered by machine learning and big data.

Improvements in cognitive technology, such as relationship analysis and language comprehension, will expand the possibilities for data analytics in finance and banking. As fintechs bring this functionality into their services, they will continue driving disruption in the financial world.

For a free trial of IBM Watson Analytics click here.

VIDEO: Share Your Startup’s IP with a Resource, Not a Rival

Monday, July 18th, 2016

Partnerships between enterprise and startups can help tech ecosystems grow. One place where this kind of cooperation happens is IBM’s Bluemix Garage.

Pat HorganAccording to Patrick Horgan, VP, Manufacturing, Development & Operations at IBM Canada, Bluemix Garage operates on an open model that allows university researchers and startups to safeguard their IP while benefiting from the knowledge and resources of a large enterprise.

“We have a history of getting through [growth] cycles and to the world market,” says Horgan. That experience is critical to helping startups achieve success.

For more information on this open IP model, private partnerships, and the Bluemix Garage, watch this video:

For a free trial of IBM Bluemix click here.

Insights on Demand: Capturing Streaming Data

Friday, July 8th, 2016

Saying your business is driven by data analytics is one thing. Using it to your advantage is quite another.

Brands often expect immediate benefits from data analytics, without using insights to help steer their marketing efforts.

About three quarters (74 per cent) of enterprise architects aspire to be data-driven, yet less than a third (29 per cent) say their companies are using it to generate measurable business outcomes, according to a report from Forrester. The report says data insight will be a “key competitive weapon” for companies this year.

This performance gap is driving an increase in demand for streaming analytics and what Forrester calls “systems of insight.” For most organizations, the best approach is a solution that captures customer insight and engagement in real time.

An example is the integration of IBM Cloud and Bluemix, which can deploy cognitive APIs to analyze a high volume of social media data in seconds using streaming analytics.

When combined with Watson’s Personality Insights, 40 calculated personality traits can show you if the people viewing your ads match the profiles of your target customers.

Analyzing continuous, incoming data and stitching that data together over time can also create something special: moving pictures of data that tell a powerful story. The bonus: It’s something companies can immediately act on.

For a free trial of IBM Bluemix click here.

Women in Tech on Twitter: Fear, Loathing, and Support

Thursday, June 30th, 2016

Women in the technology sector are using Twitter to share fear and vent, according to analysis by the TechPORTFOLIO team with the IBM Watson Tone Analyzer.

As part of our month-long series highlighting women in tech and their unique experiences and challenges, we looked at a list of prominent women in the sector who were active on Twitter and used cognitive analysis to determine the tone of the tweets sent to them in public. We wanted to find out whether there was a difference in the way that people in public and their community spoke to them on Twitter, compared with the technology sector at large.

Women on Twitter

Tone Analyzer Women

Control Group

Tone Analyzer Control

The figures above seem to indicate that there is much more anger and fear present in conversation aimed at women in technology, and marginally more emotional range and openness.

A large number of the tweets with a degree of fear or anger were people seeking or offering mutual emotional support, for matters large and small.

The tech community in the control group had more conversations, but they were more one-sided. There were a far higher level of “drive by” tweets without any real attempt to engage in conversation; such as requests to retweet, or feature suggestions.

In our analysis, we didn’t see that many examples of outright abuse directed at our women in tech list. The control group — which was filled with several high-tier individuals such as Apple CEO Tim Cook, philanthropist Melinda Gates, and “inventor of the web” Tim Berners-Lee — had several tweets that been marked as deleted. It’s possible that any retroactive reporting on Twitter’s language and possible tendency towards abuse might be affected by reporting of offensive content and moderation.

This shows that despite Twitter’s ongoing issues with harassment against women, the platform is still a valuable community space. Settings that allow for trusted conversation, like these from UX researcher Caroline Sinders, would support this while allowing for some protection against drive-by abuse.

Try the Tone Analyzer now. If you want to incorporate IBM’s Watson into your own application hosted in the cloud, click here.

Method

For our group, we selected the Anita Borg institute’s Twitter list of 500 most important women to follow on Twitter. Of those, we found the 50 most active, and took one week of tweets: June 8 to June 15, with a maximum of two @-replies each day.

There are no “men in tech” Twitter lists, of course, at least ones that are from comparatively reliable sources. Our control group, therefore, was Robert Scoble’s popular list of most influential people in technology. Several of the people on the list are, of course, women; a straight comparison with the online population at large works better for our purposes, anyway. Once again, we took the fifty most recently active users.

The control group contained several high-tier individuals on Twitter, making the volume of @-replies incredibly high. The TechPORTFOLIO team had to cut the time period down to 24 hours only, for June 8–and even then, we had to remove an unusually high spike of tweets aimed at @davidplouffe, an Uber board member and Barack Obama election campaign strategist. (Sorry, Mr. Plouffe, you were already having a bad day.)

For a free trial of IBM Watson Analytics click here.

Wimbledon and Data Analytics a Perfect Match

Tuesday, June 28th, 2016

The 2015 Wimbledon Championships were a battle for hearts and minds. While players were on the courts, the team behind one of world’s highest-profile sporting events fought to “host the best tennis championships in the world – in every way, and by every metric.”

To provide players, journalists and spectators with the best experience possible, Wimbledon partnered with IBM Bluemix to turn insights into powerful narratives.

During the two week period, 48 courtside experts captured approximately 3.4 million real-time data-points on every move and outcome. When Sam Groth hit the second-fastest serve in Wimbledon history, the information was shared with a digital audience instantly. IBM’s Sam Seddon told the BBC that “during last year’s final we were analyzing about 400 tweets a second.”

The data-driven approach served up big results: the partnership achieved 71 million visits and 542 million page views from 21.1 million unique devices.

As the 2016 Championships get underway, Wimbledon and IBM will aim to up their game and deliver an even better experience.

For a free trial of IBM Bluemix click here.

For a free trial of IBM Watson Analytics click here.

Land, Sea and Air: When IBM Bluemix Goes On The Move

Wednesday, June 22nd, 2016

Whether it’s in a tiny Swedish development drone no bigger than a slice of toast, or a lumbering garbage truck in the streets of Nairobi, Bluemix technology can be found on the move across the world. Check out these case studies:

Crazyflie Drones

Malmö, Sweden-based Bitcraze has created a handheld drone called Crazyflie, which weighs 27 grams and is equipped with long-range radio. It’s open sourced and expandable – almost like an airborne Raspberry Pi.

The Bluemix cloud is used as part of the mechanism to pilot the drone, either through an app or a gaming controller, significantly reducing development time. “It really saved us a lot of work when we got started,” says Bitcraze co-founder and developer Marcus Eliasson.

Fixing Nairobi’s Roads

To monitor the Kenyan capital’s traffic and construction needs, city officials fitted their fleet of garbage trucks with specially adapted mobile devices that used acceleration, gyroscopic and location data. As the trucks make their rounds, the devices upload their data to the cloud.

Bluemix is then used to deliver the results of the analysis to officials, accessible on mobile and desktop. “For the first time, city officials have a clear understanding of where potholes and speed bumps are,” says Dr. Aisha Walcott-Bryant of IBM Research Africa.

Speedboat Racing

SilverHook designs high-speed racing watercraft reaching speeds of up to 200 mph. Pilots have access to real-time feedback about the race through IBM Watson Analytics and Bluemix was used to rapidly develop and deploy this infrastructure, cutting development time by 40 per cent.

Ian Taylor, CEO of Animation Research, which works with SilverHook, says that the speed boat’s pilot receives data in real time helping drivers make decisions on the fly.

For a free trial of IBM Bluemix click here.

For a free trial of IBM Watson Analytics click here.