Applied AIData-Driven Organizations

Why Midsized Enterprises Need A Chief Data Officer

Io-Tahoe campaigns for Chief Data Officer (CDO) to lead data-driven business agenda, recommends adoption of Gartner’s “Infonomics model” through measuring, managing, and monetizing data Io-Tahoe, a pioneer in AI-driven data discovery and catalog products today announced that it is offering a complimentary copy of Gartner’s recent report on “Why Midsize Enterprises …

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Applied AIData Analytics

Additional $4 million to fund exploration of real-world data, analytics applications includes opening of TD Management Data & Analytics Lab

TD expands collaboration with University of Toronto’s Rotman School of Management TD Bank Group will support the University of Toronto’s Rotman School of Management with $4 million in new funding as part of the school’s efforts to attract and develop top data and analytics talent from around the globe. “By …

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Applied AIData AnalyticsEngagement & Analytics

Singular raises funding to expand big picture analytics

Targeting Growth Marketers to Harness the Data Explosion Singular, the marketing intelligence platform that unifies marketing analytics for digital marketers, has closed $30 million in Series B funding. The new funding will be used to accelerate product development and innovation, revolutionizing how growth marketers use data to drive decisions. Scott …

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Applied AIMarketing Automation

MightyHive Expands Operations into Canada

Tessa Ohlendorf appointed managing director MightyHive, a major programmatic and analytics solutions partner, is expanding  into Canada with the hiring of Tessa Ohlendorf as managing director. Headquartered in Toronto, the MightyHive Canada enterprise sales and client management team is hoping to add to its growing relationships with customers such as …

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Applied AICustomer CentricityJune 2018 Issue

Enhancing the customer contact experience with AI

By Yishay Carmiel The federal government is betting big on artificial intelligence (AI), with the goal of making Canada a world-leading destination for companies seeking to invest in AI and innovation. Last year it announced that it was spending $125 million on launching the Pan-Canadian Artificial Intelligence Strategy, delivered through …

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Applied AIExcellent ExecutionMay 2018 Issue

Why and when to use AI-based marketing modelling

By Richard Boire The concept of artificial intelligence (AI) is the sort of thing that sets imaginations ablaze. To the general public, AI evokes images of everything from automated contact centres to advanced robots intent on global domination. It sounds futuristic, but to experienced analytics practitioners in marketing—and direct marketing …

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Applied AIMay 2018 Issue

Reinventing customer service with AI chatbots

By Michael J. Martin Not long ago, chatbots were fairly basic. They were programmed to perform specific tasks, responding to straightforward command scenarios where information revolved around single turns. Many chatbots were used as online or search pop ups and could send only simple messages like “How can I help …

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Applied AIMay 2018 Issue

Enabling productive B2B marketing with human-assisted AI

This method can also spot revenue leaks By Caroline Japic If a unified view of the customer is important in consumer businesses, it’s even more crucial in business-to-business (B2B), where the relationship is everything. It’s harder to achieve, too, in a world where negotiation dominates sales interactions and relationships are …

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Applied AIMay 2018 Issue

Flipping your AI on-switch

By Paul Roehrig       Marketing is at the front line of the AI revolution (surprise!) Marketers know artificial intelligence (AI) and digital technologies are impacting their work. The list of responsibilities is longer. The budgets are tighter. The opportunities are growing (but so are the risks). You have …

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Applied AIMay 2018 Issue

How will AI and Machine Learning impact direct marketing?

By Nick Sleeth From everything we hear and read today, it sounds like and artificial intelligence (AI) and machine learning (ML) are going to make data more insightful and actionable. But the reality is that AI and ML are very complex and expensive technologies to leverage, if you include all …

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