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Boston Market On Tapping AI To Combat Fraud And Meet Mobile Customers’ Needs

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The technology is also credited with helping them meet diners’ demands for seamless purchasing experiences as well as enabling them to battle fraud. . One restaurant that is working to incorporate AI into numerous parts of its operations is Boston Market , a Colorado-based fast-casual chain that has 330 locations in 37 states.

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52 Boston Startups Net $1.5 Billion+ In May

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Cohere Capital Partners, a Boston-based private equity firm focused exclusively on middle-market growth companies, closed its initial fund at $200 million, and Founder Collective raised $85 million for its newest fund, BostInno reported. Below are the startups that raised capital in May, according to data compiled by BostInno.

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DraftKings To Merge, IPO At A $3.3B Market Value

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Online betting company DraftKings is merging with two other companies and going public, according to a report by the Boston Business Journal. Jason Robins, the co-founder and CEO of DraftKings, is going to run the new company, which will be incorporated in Nevada and keep its headquarters in Boston. DraftKings was founded in 2011.

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Mobile Order-Ahead Sector Goes All-In On AI

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Smart move – but supervised machine learning is reliant on historical data, which means that by itself, this method might not catch the new or disguised attack types pouring in. It uses payment data, location data, unique customer data and digital identifiers to detect fraud in real time.

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Citi: Healing Broken PPE Supply Chains With Streamlined Cross Border Payments

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While the pandemic has created unique circumstances of immeasurable strain and pressure on the global market, it’s also emboldened many to rise to the occasion and ensure business continues to flow with as little disruption as possible. to China within only a few hours in order to secure a PPE shipment for healthcare providers.

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In The Age Of Big Data, Why Are We Still Flying Blind?

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We’re flying blind because we lack relevant data to build and then use the right frameworks to make confident, reasonable decisions that guide our businesses, and even our economy. Despite being inundated with data, we’re amazingly lost. We see evidence of this every day. Put on a Retail Happy Face. Simultaneously, U.S.

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Early Days: AI Shows Promise And Limitations For Retailers

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Hire a data scientist. Give said scientist(s) a budget to lease a Tensor Flo server with Google and start parsing transaction data. Use data to build an algorithm. Start creating more customer data to feed the algorithm and then you too can join the artificial intelligence (AI) retail revolution. This is easy.

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