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Could machine learning solve attribution challenges? - MarTech Today

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If your digital marketing team struggles with attribution, you're not alone. Nielsen reports that only one out of every four marketers can confidently attribute revenue to their digital efforts. But does that surprise you? Probably not -- attribution is a pressing issue and can be a serious challenge for marketing and sales teams. Activating cross-channel campaigns through different platforms leads to siloed data in various, disconnected systems.


Harnessing Data through AI to Understand the B2B Buyer's Journey Vengreso

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Raviv Turner is Co-Founder and CEO at CaliberMind. On this episode, he and I discuss the challenges B2B marketers face in understanding the lengthy buyer's journey. It's long, it's complex, there are more people involved, and there is a ton of data spread across both structured and unstructured sources, making it difficult for B2B sales teams to accelerate their revenue goals. Raviv's career path includes being an entrepreneur, a product designer, a marketing technologist, and a Former Israel Signal Intelligence Community Officer. He applied the knowledge he learned about Big Data while working as an Intelligence Officer into his work building software products.


Why B2B needs artificial intelligence

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Artificial intelligence (AI) is more than a stylish trend. It goes beyond rules, providing the ability to understand content or language, find patterns that can be applied to the future, digest all kinds of information and make reasoned decisions. One by one, B2B vendors are rolling out their AI chops -- targeting platform Demandbase, CRM and marketing platform Salesforce, account engagement platform YesPath, conversational platform Conversica, and B2B predictive marketer CaliberMind, among a growing list of others. To get some insight into what this means for businesses selling to businesses, we talked with Raviv Turner, CEO and co-founder of CaliberMind. At the top level, he said, AI helps to solve key challenges that are particular to B2B. First of all, selling to a business is complicated.


Why B2B needs artificial intelligence

#artificialintelligence

Artificial intelligence (AI) is more than a stylish trend. It goes beyond rules, providing the ability to understand content or language, find patterns that can be applied to the future, digest all kinds of information and make reasoned decisions. One by one, B2B vendors are rolling out their AI chops -- targeting platform Demandbase, CRM and marketing platform Salesforce, account engagement platform YesPath, conversational platform Conversica, and B2B predictive marketer CaliberMind, among a growing list of others. To get some insight into what this means for businesses selling to businesses, we talked with Raviv Turner, CEO and co-founder of CaliberMind. At the top level, he said, AI helps to solve key challenges that are particular to B2B.


What an A.I. Thinks of Taylor, Tim, and Trump

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Like a child learning about its parents, artificial intelligence has begun to study the human condition. An A.I. system created by a Boulder, Colorado-based company CaliberMind can form analytical judgments about how people think and communicate, with a text input of only 100 words. CaliberMind's software can rank someone on a spectrum of emotional versus analytical decision-making, then draw conclusions about their character traits. Culling these details into a snapshot of someone's personality, the software then makes recommendations on how to best communicate with that person. It's nothing less than an artificially intelligent effort to peer into a person's heart and mind.