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Q&A: Thomson Reuters Canada’s Dr. Khalid Al-Kofahi on applying AI to business challenges

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Artificial intelligence is impacting on a range of businesses and professions, moving from something niche to an activity that is part and parcel of everyday operations. Dr. Khalid Al-Kofahi, of Thomson Reuters, provides some insights.

Dr. Khalid Al-Kofahi is a leading artificial intelligence expert and the Vice President of Research and Development at Thomson Reuters Canada. Dr. Al-Kofahi heads up the company’s corporate R&D work globally and he leads its Toronto-based Centre for AI and Cognitive Computing.

Dr. Al-Kofahi has expertise in applying AI to help Thomson Reuters’ global customers unearth key information that help to solve their business challenges. Al-Kofahi has developed AI algorithms that have transformed the way professionals carry out their jobs.

To understand how AI is reshaping businesses activities, DX Journal caught up by Dr. Khalid Al-Kofahi.

Digital Journal: How important is artificial intelligence becoming for business?

Khalid Al-Kofahi: I don’t look at Artificial Intelligence (AI) and Machine Learning (ML) in terms of a degree of importance – they are. I think of them as critical for medium and large businesses, regardless of their sectors.

AI and ML technologies are either necessary to optimize how businesses create and deliver value to their customers or part of the value proposition itself. In my opinion, businesses with a large digital footprint fall into the second category.

For example, in the information industry AI is necessary for content aggregation, enhancement, organization and delivery – at scale. AI-enabled applications deliver content, data and insights to knowledge workers within the context of their tasks and often personalized to customers’ preferences.

And the figures speak for themselves: McKinsey & Company expects global economic impact of AI to be between USD $7.1 trillion to $13.1 trillion by 2025. In Canada, AI is expected to add an additional CAD $636.1 billion to the economy by 2035, according to Accenture.

DJ: Which types of sectors are set to see the greatest AI growth?

Al-Kofahi: The obvious ones are healthcare, education and transportation. Beyond that and in industries closer to my lines of business, the financial sector has been an early adopter of AI technology and I expect the growth trend to continue, if not accelerate. The tax and accounting industry will see the biggest disruption.

Not necessarily at the job level, but at the task level (e.g., within audits). Businesses – across sectors – operate in increasingly more complex regulatory environments, thus driving demand for AI-enabled applications to help them understand and comply with relevant rules and regulations. This, for example, was the driver for our most recent product, Data Privacy Advisor, which we developed jointly with IBM Watson to help data privacy professionals stay on top of those ever-changing regulations, keeping their organizations compliant.

DJ: What types of things can businesses do with data analytics?

Al-Kofahi: Every organization accumulates data and the trick is understanding how it can be leveraged for business advantage. The right data analysis can unlock business critical insights such as customer buying habits or even anticipating a fault in your machinery before the error even occurs, preventing costly repairs and downtime.

For example: let’s say a Toronto-based retailer wants to open an outlet in Calgary. By gathering information from existing customers – including preferences, age ranges, socio-economic groups and spending habits – the company can run an analysis and create a general profile of those most likely to purchase at their retail shop. These profiles can be compared and analyzed against demographics in Calgary to pinpoint locations where there is a high concentration of likely customers. Ultimately, leveraging data this way helps to inform a company expansion plan.

DJ: What advantages does AI hold for the legal sector?

Al-Kofahi: The legal industry – despite its rather conservative business model – has been one of the biggest beneficiaries of AI technologies (relative to its size) and it will continue to provide fertile ground for AI scientists and engineers to have an impact. Did you know that the first commercially available search engine that deploys probabilistic rank retrieval was developed in the legal sector back in 1993? I have been developing AI and ML enabled applications for the industry since 1995 and found the sector to be extremely rich ground for AI.

The reason law is so interesting to AI researchers is that it touches upon all aspects of personal and business worlds. You have rules and regulations that govern acts and transactions. Some of these rules have been codified, others are still subject to a significant degree of interpretations. This challenge makes it interesting to natural language processing and knowledge engineering and reasoning.

Attorneys and judges often think by analogy, applying the same legal principle to many factual situations. This makes legal research a particularly interesting and challenging problem. But the rules (law) change over time through legislation and supersession and the technology needs to adapt accordingly. The adversarial nature of the law raises sentiment and polarity to a whole new level. The language you find in case law can be about childcare, medical malpractice, contracts, personal finance, tax obligations, which makes this one of the most interesting problems for NLP researchers.

These are just some examples of where AI and ML are already having a significant impact on the practice of law. Other opportunities include those focusing on reducing the cost and complexity of the law – including online dispute resolution systems, contract review, eDiscover and so on.

DJ: How about a different field, like journalism?

Al-Kofahi: AI can deliver huge advantages to journalists and we’re already seeing the results in our company’s own news division. Over the last 165 years, Reuters earned a reputation for gathering quality information, producing news free of bias and getting it to readers the fastest. Those pillars are still very much a part of how the news division reports on events now. But in a connected and fast-moving world, the challenge of capturing and reporting on news at scale takes on a whole new meaning.

To address this challenge, we developed Reuters News Tracer – an AI powered platform that can capture events as they are reported around the world, filter out the noise (e.g., chat, spam), identify reporting of news worthy events, distinguish between reporting of ‘facts’ and opinions and then algorithmically assess the veracity of this reporting. Our journalists have been using this system, which allows them to consistently, and accurately, report on events well before any other news outlets publish their own accounts. In fact, over the last year Reuters has been first in more than 50 major news stories thanks to Tracer.

DJ: Does the promise of AI sometimes disappoint?

Al-Kofahi: Yes, of course. Sometimes disappointment is caused by hype and people and organizations talking about the future – even the distant future – in the present tense. Other times, it is due to lack of understanding of inherent biases of AI algorithms especially in task-critical applications. And other times because the technology may still need additional vetting and testing.

I am not sure if this falls under this category, but the race to build the first autonomous vehicle hinges on AI and it certainly feels like we are on the cusp of a breakthrough; however, there is still risk to human life. The reality is that developments will be incremental before that safety benchmark is fully achieved. This might seem slower than the pace of some other technological developments, but the outcomes will be worth the wait.

DJ: Please explain about your work with the Toronto-based Centre for AI and Cognitive Computing

Al-Kofahi: Thomson Reuters has been applying AI technologies in products for more than 25 years. The Toronto-based centre is part of our larger R&D team which I also lead. Together, our objective is to simplify and transform knowledge work, focusing on opportunities that could be enabled by AI and machine learning.

This includes how we collect, enhance and organize content. How we deliver this content to our customers (e.g., search, recommender systems and navigation) as well as a diverse set of vertical products and capabilities that addresses specific customer challenges (for example, the Data Privacy Advisor or Reuters News Tracer). Personally, I have been focusing on attracting top talent, establishing the right culture and operating rhythm and supporting the team to ensure they are able to utilize their skills to create value for our customers and our business.

DJ: Who is the Centre aimed at?

Al-Kofahi: Our customers are across the legal, financial and risk, tax and accounting and media sectors. We aim to develop ‘smart’ applications that delight our customers. These are applications that are responsive (to their input), that are task focused and customer aware; applications that are robust, proactive (when appropriate) and offer an intuitive experience. This requires us to develop advanced AI and ML capabilities ‘under the hood’, which means we must continue attracting and retaining the very best talent in the industry – and why this particular centre is based right here in Toronto.

DJ: What are the key projects that the Centre is working on?

Al-Kofahi: The best example of our most recent work was the launch of Data Privacy Advisor. But, let me assure you there is more to come. I’d be happy to come back and elaborate on some of these projects after we launch them.

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Cashiers vs. digital ordering: What do people want, and at what cost?

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Task Group summarized the rise in digital ordering over the past couple of years, its acceptance among customers, and its cost.
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You walk into a fast-food restaurant on your lunch break. You don’t see a cashier but instead a self-service kiosk, a technology that is becoming the new norm in eateries across the country. The kiosks usually offer customers a menu to scroll through and pictures of meals and specials with prompts to select their food and submit their payment in one place.

Self-service kiosks are big business. In fact, the market for self-service products is expected to grow from a $40.3 billion market value in 2022 to $63 billion by 2027, according to a report from BCC Research. Consumers do have mixed opinions about the kiosks, but about 3 out of 5 surveyed consumers reported that they were likely to use self-service kiosks, according to the National Restaurant Association. The technology, while expensive, can boost businesses’ bottom lines in the long run.

Task Group summarized the rise in digital ordering over the past couple of years, its acceptance among customers, and a cost analysis of adopting the technology.

Self-service kiosks—digital machines or display booths—are generally placed in high-traffic areas. They can be used for different reasons, including navigating a store or promoting a product. Interactive self-service kiosks in particular are meant for consumers to place orders with little to no assistance from employees.

The idea of kiosks isn’t new. The concept of self-service was first introduced in the 1880s when the first types of kiosks appeared as vending machines selling items like gum and postcards. In the present age of technology, the trend of self-service has only grown. Restaurants such as McDonald’s and Starbucks have already tried out cashierless technology.

From a business perspective, the kiosks offer a huge upside. While many employers are looking for workers, they’re having a hard time finding staff. In the midst of the COVID-19 pandemic, employers struggled with a severe employee shortage. Since then, the problem has continued. In 2022, the National Restaurant Association reported that 65% of restaurant operators didn’t have enough workers on staff to meet consumer demand. With labor shortages running rampant, cashierless technology could help restaurants fill in for the lack of human employees.

The initial investment for the kiosks can be high. The general cost per kiosk is difficult to quantify, with one manufacturer estimating a range of $1,500 to $20,000 per station. However, with the use of kiosks, restaurants may not need as many cashiers or front-end employees, instead reallocating workers’ time to other tasks.

In May 2022, the hourly mean wage for cashiers who worked in restaurants and other eating establishments was $12.99, according to the Bureau of Labor Statistics. Kiosks could cost less money than a cashier in the long run.

But how do the customers themselves feel about the growing trend? According to a Deloitte survey, 62% of respondents report that they were “somewhat likely” to order from a cashierless restaurant if given the chance to do so. The same survey reported that only 19% of respondents had experience with a cashierless restaurant.

What would it mean for society if restaurants did decide to go completely cashierless? Well, millions of positions would likely no longer be necessary. One report suggests 82% of restaurant positions could be replaced by robots, a prospect making automation appealing to owners who can’t find staff to hire.

Due to the ongoing labor shortage, employers have tried raising employee wages. Papa John’s, Texas Roadhouse, and Chipotle were among the restaurant companies that increased employee pay or offered bonuses in an attempt to hire and retain more workers. Meanwhile, some companies have decided to use technology to perform those jobs instead, so that they wouldn’t have to put effort into hiring or focus their existing staff on other roles.

Story editing by Ashleigh Graf and Jeff Inglis. Copy editing by Tim Bruns.

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Is real estate actually a good investment?

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Wealth Enhancement Group analyzed data from academic research, Standard and Poor's, and Nareit to compare real estate to stocks as investments.
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It’s well-documented that the surest, and often best, return on investments comes from playing the long game. But between stocks and real estate, which is the stronger bet?

To find out, financial planning firm Wealth Enhancement Group analyzed data from academic research, Standard and Poor’s, and Nareit to see how real estate compares to stocks as an investment.

Data going back to 1870 shows the well-established power of real estate as a powerful “long-run investment.” From 1870-2015, and after adjusting for inflation, real estate produced an average annual return of 7.05%, compared to 6.89% for equities. These findings, published in the 2019 issue of The Quarterly Journal of Economics, illustrate that stocks can deviate as much as 22% from their average, while housing only spreads out 10%. That’s because despite having comparable returns, stocks are inherently more volatile due to following the whims of the business cycle.

Real estate has inherent benefits, from unlocking cash flow and offering tax breaks to building equity and protecting investors from inflation. Investments here also help to diversify a portfolio, whether via physical properties or a real estate investment trust. Investors can track markets with standard resources that include the S&P CoreLogic Case-Shiller Home Price Indices, which tracks residential real estate prices; the Nareit U.S. Real Estate Index, which gathers data on the real estate investment trust, or REIT, industry; and the S&P 500, which tracks the stocks of 500 of the largest companies in the U.S.

High interest rates and a competitive market dampened the flurry of real-estate investments made in the last four years. The rise in interest rates equates to a bigger borrowing cost for investors, which can spell big reductions in profit margins. That, combined with the risk of high vacancies, difficult tenants, or hidden structural problems, can make real estate investing a less attractive option—especially for first-time investors.

Keep reading to learn more about whether real estate is a good investment today and how it stacks up against the stock market.


A line chart showing returns in the S&P 500, REITs, and US housing. $100 invested in the S&P 500 at the start of 1990 would be worth around $2,700 today if you reinvested the dividends.

Wealth Enhancement Group

Stocks and housing have both done well

REITs can offer investors the stability of real estate returns without bidding wars or hefty down payments. A hybrid model of stocks and real estate, REITs allow the average person to invest in businesses that finance or own income-generating properties.

REITs delivered slightly better returns than the S&P 500 over the past 20-, 25-, and 50-year blocks. However, in the short term—the last 10 years, for instance—stocks outperformed REITs with a 12% return versus 9.5%, according to data compiled by The Motley Fool investor publication.

Whether a new normal is emerging that stocks will continue to offer higher REITs remains to be seen.

This year, the S&P 500 reached an all-time high, courtesy of investor enthusiasm in speculative tech such as artificial intelligence. However, just seven tech companies, dubbed “The Magnificent 7,” are responsible for an outsized amount of the S&P’s returns last year, creating worry that there may be a tech bubble.

While indexes keep a pulse on investment performance, they don’t always tell the whole story. The Case-Shiller Index only measures housing prices, for example, which leaves out rental income (profit) or maintenance costs (loss) when calculating the return on residential real estate investment.

A chart showing the annual returns to real estate, stocks, bonds, and bills in 16 major countries between 1870 and 2015.

Wealth Enhancement Group

Housing returns have been strong globally too

Like its American peers, the global real estate market in industrialized nations offers comparable returns to the international stock market.

Over the long term, returns on stocks in industrialized nations is 7%, including dividends, and 7.2% in global real estate, including rental income some investors receive from properties. Investing internationally may have more risk for American buyers, who are less likely to know local rules and regulations in foreign countries; however, global markets may offer opportunities for a higher return. For instance, Portugal’s real estate market is booming due to international visitors deciding to move there for a better quality of life. Portugal’s housing offers a 6.3% return in the long term, versus only 4.3% for its stock market.

For those with deep enough pockets to stay in, investing in housing will almost always bear out as long as the buyer has enough equity to manage unforeseen expenses and wait out vacancies or slumps in the market. Real estate promises to appreciate over the long term, offers an opportunity to collect rent for income, and allows investors to leverage borrowed capital to increase additional returns on investment.

Above all, though, the diversification of assets is the surest way to guarantee a strong return on investments. Spreading investments across different assets increases potential returns and mitigates risk.

Story editing by Nicole Caldwell. Copy editing by Paris Close. Photo selection by Lacy Kerrick.

This story originally appeared on Wealth Enhancement Group and was produced and
distributed in partnership with Stacker Studio.

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5 tech advancements sports venues have added since your last event

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Uniqode compiled a list of technologies adopted by stadiums, arenas, and other major sporting venues in the past few years.
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In today’s digital climate, consuming sports has never been easier. Thanks to a plethora of streaming sites, alternative broadcasts, and advancements to home entertainment systems, the average fan has myriad options to watch and learn about their favorite teams at the touch of a button—all without ever having to leave the couch.

As a result, more and more sports venues have committed to improving and modernizing their facilities and fan experiences to compete with at-home audiences. Consider using mobile ticketing and parking passes, self-service kiosks for entry and ordering food, enhanced video boards, and jumbotrons that supply data analytics and high-definition replays. These innovations and upgrades are meant to draw more revenue and attract various sponsored partners. They also deliver unique and convenient in-person experiences that rival and outmatch traditional ways of enjoying games.

In Los Angeles, the Rams and Chargers’ SoFi Stadium has become the gold standard for football venues. It’s an architectural wonder with closer views, enhanced hospitality, and a translucent roof that cools the stadium’s internal temperature. 

The Texas Rangers’ ballpark, Globe Life Field, added field-level suites and lounges that resemble the look and feel of a sports bar. Meanwhile, the Los Angeles Clippers are building a new arena (in addition to retail space, team offices, and an outdoor public plaza) that will seat 18,000 people and feature a fan section called The Wall, which will regulate attire and rooting interest.

It’s no longer acceptable to operate with old-school facilities and technology. Just look at Commanders Field (formerly FedExField), home of the Washington Commanders, which has faced criticism for its faulty barriers, leaking ceilings, poor food options, and long lines. Understandably, the team has been attempting to find a new location to build a state-of-the-art stadium and keep up with the demand for high-end amenities.

As more organizations audit their stadiums and arenas and keep up with technological innovations, Uniqode compiled a list of the latest tech advancements to coax—and keep—fans inside venues.


A person using the new walk out technology with a palm scan.

Jeff Gritchen/MediaNews Group/Orange County Register // Getty Images

Just Walk Out technology

After successfully installing its first cashierless grocery store in 2020, Amazon has continued to put its tracking technology into practice.

In 2023, the Seahawks incorporated Just Walk Out technology at various merchandise stores throughout Lumen Field, allowing fans to purchase items with a swipe and scan of their palms.

The radio-frequency identification system, which involves overhead cameras and computer vision, is a substitute for cashiers and eliminates long lines. 

RFID is now found in a handful of stadiums and arenas nationwide. These stores have already curbed checkout wait times, eliminated theft, and freed up workers to assist shoppers, according to Jon Jenkins, vice president of Just Walk Out tech.

A fan presenting a digital ticket at a kiosk.

Billie Weiss/Boston Red Sox // Getty Images

Self-serve kiosks

In the same vein as Amazon’s self-scanning technology, self-serve kiosks have become a more integrated part of professional stadiums and arenas over the last few years. Some of these function as top-tier vending machines with canned beers and nonalcoholic drinks, shuffling lines quicker with virtual bartenders capable of spinning cocktails and mixed drinks.

The kiosks extend past beverages, as many college and professional venues have started using them to scan printed and digital tickets for more efficient entrance. It’s an effort to cut down lines and limit the more tedious aspects of in-person attendance, and it’s led various competing kiosk brands to provide their specific conveniences.

A family eating food in a stadium.

Kyle Rivas // Getty Images

Mobile ordering

Is there anything worse than navigating the concourse for food and alcohol and subsequently missing a go-ahead home run, clutch double play, or diving catch?

Within the last few years, more stadiums have eliminated those worries thanks to contactless mobile ordering. Fans can select food and drink items online on their phones to be delivered right to their seats. Nearly half of consumers said mobile app ordering would influence them to make more restaurant purchases, according to a 2020 study at PYMNTS. Another study showed a 22% increase in order size.

Many venues, including Yankee Stadium, have taken notice and now offer personalized deliveries in certain sections and established mobile order pick-up zones throughout the ballpark.

A fan walking past a QR code sign in a seating area.

Darrian Traynor // Getty Images

QR codes at seats

Need to remember a player’s name? Want to look up an opponent’s statistics at halftime? The team at Digital Seat Media has you covered.

Thus far, the company has added seat tags to more than 50 venues—including two NFL stadiums—with QR codes to promote more engagement with the product on the field.  After scanning the code, fans can access augmented reality features, look up rosters and scores, participate in sponsorship integrations, and answer fan polls on the mobile platform.

Analysts introducing AI technology at a sports conference.

Boris Streubel/Getty Images for DFL // Getty Images

Real-time data analytics and generative AI

As more venues look to reinvigorate the in-stadium experience, some have started using generative artificial intelligence and real-time data analytics.  Though not used widely yet, generative AI tools can create new content—text, imagery, or music—in conjunction with the game, providing updates, instant replays, and location-based dining suggestions

Last year, the Masters golf tournament even began including AI score projections in its mobile app. Real-time data is streamlining various stadium pitfalls, allowing operation managers to monitor staffing issues at busy food spots, adjust parking flows, and alert custodians to dirty or damaged bathrooms. The data also helps with security measures. Open up an app at a venue like the Honda Center in Anaheim, California, and report safety issues or belligerent fans to help better target disruptions and preserve an enjoyable experience.

Story editing by Nicole Caldwell. Copy editing by Paris Close. Photo selection by Lacy Kerrick.

This story originally appeared on Uniqode and was produced and
distributed in partnership with Stacker Studio.

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