Daisy Intelligence Launches Canada’s First Student A.I. Hackathon at University of Toronto.

Daisy Intelligence Launches Canada’s First Student A.I. Hackathon at University of Toronto.

NVIDIA and Cogeco Peer 1 Sponsor 24-Hour Programming Event. JANUARY 24, 2017, TORONTO ON – Daisy Intelligence Corporation, an artificial intelligence software-as-a-service company, announced today the inaugural “Daisy A.I. challenge 24-hour Hackathon,” to be held January 28-29, 2017, at the University of University of Toronto’s Faculty of Applied Science & Engineering, St. George Campus. Sponsored by NVIDIA and Cogeco Peer 1, the Daisy A.I. Hackathon event is open to all engineering and computer science students at the University of Toronto. For more information, interested participants and observers should visit www.daisyintelligence.com/results on January 30 for coverage on the results and winners. The competition will start at 10:00am EST on January 28, and contestants will have 24 hours to design and build their programming projects. Several Daisy Intelligence engineers and Daisy founder and CEO Gary Saarenvirta will be onsite offering help and expertise where needed. At the end of the coding period, teams will go head-to-head for a chance to win monetary prizes and an opportunity for an internship at Daisy Intelligence. A total of 56 student teams have registered for the competition. They will be tasked to solve highly complex parallel computing problems by utilizing artificial intelligence and machine learning methods. Participation is open to all skill levels: the competition is designed to be completed by participants with a range of programming skills and experience levels. “We’re thrilled to work with our partners at NVIDIA, Cogeco Peer 1 and the University of Toronto on this event,” said Saarenvirta. “We’re honoured to host our first hackathon with the support of the best hardware and technology providers in the industry at the...
Daisy recognized by CART as A.I. leader in retail.

Daisy recognized by CART as A.I. leader in retail.

The Centre for Advancing Retail & Technology (CART) released their 2016 Retail Innovation Report outlining the transformative technologies that have fueled innovation across the retail industry. According to the report, 2016 was the year retail hit an inflection point where artificial intelligence (A.I.) and machine learning started to make a profound impact in retail marketing and merchandising. A.I. technologies will prove to be highly disruptive in retail where margins are thin and competition is fierce. A.I. solutions offer massive improvements in how retailer can use their data to make faster and smarter decisions to improve promotional and merchandising effectiveness and early adoptive retailers in this space will be rewarded. As companies such as Amazon continue to grow expand their business, the application of A.I. technology in order to effectively compete becomes more critical especially for mid-market or regional grocers. Looking ahead, 2017 will be the year of acceleration of this trend as the pace of innovation continues to grow and A.I. applications continue to revolutionize the retail landscape. Get a copy of the report...
How A.I. can help fulfill the promise of big data.

How A.I. can help fulfill the promise of big data.

Dr. David Stephenson’s article, 150 Data Scientists and still no business value? has done an admirable job of echoing the sentiment we hear from our customers daily: “The promise of big data has yet to materialize in changes to my bottom line.” Underlining the issue Dr. Stephenson describes are the 2 inherent flaws that we have been discussing with our clients: The approach of buying software based tools. The addition of data scientists in an attempt to draw insights that drive success is ineffective. Fundamentally, to achieve a positive change in profits, the optimization undertaken must be holistic in nature. It must incorporate and consider all of the dynamically changing pieces that operate in unison in a retailer’s environment that make up the entire P&L. Any approach which relies on examining only one piece of the puzzle at one time without considering the significant “ripple” effects that occurs throughout the organization is doomed to produce only short-term results, which when measured over time will have no effect to the results of the entire organization’s P&L. Dr. Stevenson continues, “Although today’s technology has given data scientists great tools, along with an abundance of low-hanging fruit, the problem remains that a recent surge in unfocused data science programs, staffed with newly minted analysts, has created a high potential for program failure.” Yes, we see it all the time. Great promotion, nice short-term sales effect, yet no change in profits at the end of the month. Also, these types of optimizations are beyond human capacity. Hiring hundreds or thousands of data scientists will still not allow most retailers to scratch the surface...
Gartner Identifies A.I. as the top technology trend for 2017.

Gartner Identifies A.I. as the top technology trend for 2017.

Stop me if you’ve heard this one before – there’s a disruptive technology that is going to change the way retailers do business. Big data, mobile, e-commerce all came with the same level of hype as the internet and while they’ve become essential parts of any business, they have yet to redefine the game in the same way. Retailers have been fighting, adapting or dissolving since the birth of the internet and this next technology wave is expected to have a similar effect. However unlike mobile and e-commerce, the effects have the potential to be swift and quantifiable. Gartner’s David’s Cearley recently outlined the Top 10 Strategic Technology Trends for 2017 with Artificial Intelligence (A.I.) & Advanced Machine Learning coming in at #1.  This should not be taken lightly. With limited resources and time, retail leaders are tasked with charting a strategic direction. They need to be diligent in scrutinizing where to invest dollars, time and energy to get there and most importantly, what any return will be when they do. I’d be surprised if many retailer’s technology road maps included A.I. at this time last year. A.I. wasn’t on the Gartner list for 2015 and was only half way down for 2016. For a long time, it’s been something way out there on the horizon. Well, no more.  One only has to read The Economist, Wired, Time, or countless others to know that A.I. has arrived picking up on the unfulfilled promises of big data. A.I. is already being put into practice in the retail industry, gains are being seen, and we’ve had a window into the monolithic...