PB

Phil Britt

Phil Britt is a veteran journalist with more than 45 years of professional writing experience. He content has appeared in national newspapers, magazines and on various websites.

After graduating from Purdue University in 1978 with a degree in Radio-TV, Phil spent three months as a midnight disc jockey in suburban Chicago before moving into print — and now digital journalism forever, building on his experience as sports editor of the Purdue Exponent.

After working two years on the sports desk at the LaPorte Herald-Argus (now the LaPorte County Herald-Dispatch), Phil moved to the sports desk of the Hammond (now Northwest Indiana) Times. Following five years on the sports desk, Phil covered education for three years, then business for three years before moving on to Savings Institutions, the magazine of the U.S. League of Savings Institutions.

Today Phil lives in suburban Chicago with his wife and with their two adult children. He runs a writing business, covering financial services, marketing, business, technology, robotics and a smattering of other subjects that interest him.

Though now a reformed sportswriter, Phil still read the sports (now digital) pages daily, paying particular attention to Chicago and Purdue teams. Though he grew up on the north side, Phil is a diehard White Sox fan, as his wife.

    Publications

    • destination CRM
      35 articles
    • CMSWire
      29 articles
    • VKTR
      13 articles
    • Speech Technology Magazine
      12 articles
    • The New Stack
      2 articles
    • MortgagePoint
      1 article
    • Enterprise AI World
      1 article

    Writes Most On

    ArtificialIntelligenceAIMachineLearningCustomerServiceCustomerExperienceAutomationTechnologyCustomerEngagementNaturallanguageProcessingCRMDataAnalysisMLGenerativeAIFintechMarketingAutomationDataAnalyticsCustomerRelationshipManagementCustomerSatisfactionConversationalAIInnovationChatbotsCustomerInsightsContactCenterAgentsDataManagementContactCentersFinancialTechnologyFujiTVVirtualAssistantOperationalEfficiencyCXChiefTechnologyOfficerFinancialServicesDataVisualizationSocialMediaHealthCareCustomerJourneyChiefExecutiveOfficerCallCentreUserExperienceManagerDataScienceAmazonEcommerceCEOInsuranceSalesProcessEngineeringInteractiveVoiceResponseSalesforceConnectActiveEngagementChicago
    • —VKTR
    • —VKTR
    • —destination CRM
    • —destination CRM
    • MIT Researchers Develop New Method to Reduce Bias in AI Models
      11 Mar—VKTR
      Bias in AI is a well-known challenge, with platform developers working on several potential ways to minimize the issue. Bias can occur as developers design an AI model, from underrepresentation of certain groups in underlying data, human annotators bringing their own biases when labeling data, societal biases in training data and more. MIT researchers think that they have found a solution to this challenge, using a technique that identifies and removes specific points in a training dataset...

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