Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI.Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelogAlgolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:2018 in ReviewFocus on more challenging ML problemsSemi-supervised learningDomain adaptationGenerative modelsReinforcement learningNLPELMOBERTFear about AIGDPR, trust and privacyCambridge analyticaFacial recognitionTons of open sourced tooling, modelsPredictions for 2019Focus on trust and transparencyBiasRegulationGDPR and transparency, interpretabilityWhat will other countries do regarding regulation?AI for goodBetter voice and conversational resultsAI assistantsVoice interfacesNLP advancesMore focus on product development, less on researchDeep learning will explode in production product / service developmentComputer vision, NLP, speech recognition will be table stakesIncreased accessibility of DL to software engineers / developersMore testing/toolingBetter training for data scientistsBetter integrations and infrastructureAutoMLOrganizational / Cultural ShiftsNew roles for data-based leadership - CDO, CAIO, etc.,Strategy - AI becoming first-class concernCompetitive Analysis - AI and data assessments mandatoryFragmentation into distinct subfields - AI, analytics, data science, prognosticsA changing relationship between humans and automationAI + robotics - first stepsPervasive AI + IoT - first stepsThe importance of creative expertise for humansHow to school your child today to prep for tomorrowNarrowly-scoped, highly-specific job functions at most riskUpcoming Events: Register for upcoming webinars here!