[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fai-implementation":3,"seo-content-expertise-ai-implementation-global":264,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fai-implementation":288,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fai-implementation":422},{"total":4,"jobs":5},7,[6,52,87,131,170,208,236],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":29,"processed_job_expertise_skills":33,"processed_job_expertise_skills_labels":35,"max_cpc":51,"actual_cpc":51},72082,"ceo-coo-legal-change-project-manager-0840-deutsche-bank-aktiengesellschaft-filiale-london","CEO COO – Legal Change Project Manager",null,false,{"name":13,"slug":14,"logo_url":10},"0840 Deutsche Bank Aktiengesellschaft, Filiale London","0840-deutsche-bank-aktiengesellschaft-filiale-london",[16],"London",[18],"GB","hybrid",60000,80000,"GBP","estimated",[25],"FULL_TIME","permanent",{"word":28,"excel":28,"powerpoint":28},3,[30,31,32],"Excel","PowerPoint","Word",{"raci":28,"raid":28,"roadmaps":28,"reporting":28,"digitisation":28,"business change":34,"ai implementation":28,"audit remediation":28,"business analysis":28,"milestone tracking":28,"project management":34,"process improvement":28,"stakeholder management":34,"regulatory implementation":28,"project management artefacts":34},4,[36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"Project Management","Business Change","Business Analysis","Regulatory Implementation","Audit Remediation","AI Implementation","Process Improvement","Digitisation","Stakeholder Management","Project Management Artefacts","Roadmaps","Reporting","Milestone Tracking","RAID","RACI",1,{"id":53,"slug":54,"title":55,"raw_title":10,"is_featured":11,"company":56,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":59,"processed_country_iso_code_gmaps":60,"processed_home_office":62,"processed_salary_min":63,"processed_salary_max":64,"processed_salary_currency":65,"processed_salary_source":23,"processed_working_hours":66,"processed_employment_types":26,"processed_it_skills":67,"processed_it_skills_labels":68,"processed_job_expertise_skills":77,"processed_job_expertise_skills_labels":78,"max_cpc":51,"actual_cpc":51},76454,"global-wholesale-banking-data-analytics-avpvp-ocbc-bank","Global Wholesale Banking Data Analytics - AVP\u002FVP",{"name":57,"slug":58,"logo_url":10},"OCBC Bank","ocbc-bank",[],[61],"SG","onsite",90000,150000,"SGD",[25],{"sql":34,"python":28,"ai\u002Fgen ai tools":34,"prompt engineering":28,"relational databases":34,"application development":28,"data visualization tools":34,"process automation tools":28},[69,70,71,72,73,74,75,76],"Python","SQL","Relational Databases","Application Development","Data Visualization Tools","AI\u002FGen AI Tools","Prompt Engineering","Process Automation Tools",{"data mining":34,"data analytics":34,"dashboard design":34,"ai implementation":34,"customer analytics":34,"management reporting":34,"statistical analysis":34,"business intelligence":34,"campaign optimization":34},[79,80,81,82,83,84,85,41,86],"Data Analytics","Dashboard Design","Management Reporting","Customer Analytics","Campaign Optimization","Statistical Analysis","Data Mining","Business Intelligence",{"id":88,"slug":89,"title":90,"raw_title":10,"is_featured":11,"company":91,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":94,"processed_country_iso_code_gmaps":96,"processed_home_office":62,"processed_salary_min":64,"processed_salary_max":97,"processed_salary_currency":65,"processed_salary_source":23,"processed_working_hours":98,"processed_employment_types":26,"processed_it_skills":99,"processed_it_skills_labels":101,"processed_job_expertise_skills":116,"processed_job_expertise_skills_labels":117,"max_cpc":51,"actual_cpc":51},76059,"vice-president-product-manager-for-transaction-banking-products-transaction-banking-for-asia-mufg-bank-ltd-singapore-office","Vice President, Product Manager for Transaction Banking Products - Transaction Banking for Asia",{"name":92,"slug":93,"logo_url":10},"MUFG Bank, Ltd., Singapore Office","mufg-bank-ltd-singapore-office",[95],"Singapore",[61],250000,[25],{"alteryx":100,"tableau":100,"ms excel":28,"power bi":100,"rest apis":28,"ai tooling":28,"data lakes":28,"agile\u002Fscrum":28,"graphql apis":28,"etl pipelines":28,"ms powerpoint":28,"data warehouses":28,"microsoft fabric":28,"azure data platform":28},2,[102,103,104,105,106,107,108,109,110,111,112,113,114,115],"Microsoft Fabric","Azure Data Platform","Alteryx","Tableau","Power BI","REST APIs","GraphQL APIs","ETL Pipelines","Data Lakes","Data Warehouses","MS Excel","MS PowerPoint","Agile\u002FScrum","AI Tooling",{"reporting":34,"forecasting":34,"trade finance":28,"data analytics":34,"cash management":28,"data management":34,"ai implementation":34,"cloud technologies":28,"product management":34,"predictive modeling":34,"transaction banking":34,"statistical analysis":34,"regulatory compliance":28,"digital transformation":34,"api lifecycle management":34,"kpi framework development":34,"executive dashboard design":34},[118,119,79,41,120,84,121,122,123,124,125,126,127,128,129,47,130],"Product Management","Transaction Banking","API Lifecycle Management","Predictive Modeling","Forecasting","Cash Management","Trade Finance","Regulatory Compliance","Digital Transformation","Executive Dashboard Design","KPI Framework Development","Data Management","Cloud Technologies",{"id":132,"slug":133,"title":134,"raw_title":10,"is_featured":11,"company":135,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":138,"processed_country_iso_code_gmaps":140,"processed_home_office":62,"processed_salary_min":142,"processed_salary_max":143,"processed_salary_currency":144,"processed_salary_source":23,"processed_working_hours":145,"processed_employment_types":26,"processed_it_skills":146,"processed_it_skills_labels":147,"processed_job_expertise_skills":158,"processed_job_expertise_skills_labels":159,"max_cpc":51,"actual_cpc":51},83613,"manager-engineering-operations-technical-support-government-employees-insurance-company","Manager, Engineering Operations – Technical Support",{"name":136,"slug":137,"logo_url":10},"Government Employees Insurance Company","government-employees-insurance-company",[139],"Bethesda",[141],"US",101475,189625,"USD",[25],{"ai tools":28,"windows server":28,"cloud platforms":28,"active directory":28,"automation tools":28,"backup solutions":28,"voip technologies":28,"dashboard and reporting tools":28,"video conferencing setup and troubleshooting":28,"network technologies (dhcp, dns, tcp\u002Fip, vlan, snmp)":28},[148,149,150,151,152,153,154,155,156,157],"AI Tools","Automation Tools","Cloud Platforms","Dashboard and Reporting Tools","Active Directory","Windows Server","Backup Solutions","VoIP Technologies","Network Technologies (DHCP, DNS, TCP\u002FIP, VLAN, SNMP)","Video Conferencing Setup and Troubleshooting",{"budgeting":28,"sla management":28,"metrics analysis":28,"ai implementation":28,"vendor management":28,"project management":28,"automation strategy":28,"incident management":28,"it asset management":28,"process improvement":28,"technical documentation":28,"it operations management":34,"technical support management":34},[160,161,162,36,163,164,165,166,42,167,168,169,41],"Technical Support Management","IT Operations Management","Budgeting","Vendor Management","IT Asset Management","SLA Management","Incident Management","Technical Documentation","Metrics Analysis","Automation Strategy",{"id":171,"slug":172,"title":173,"raw_title":10,"is_featured":11,"company":174,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":177,"processed_country_iso_code_gmaps":179,"processed_home_office":62,"processed_salary_min":181,"processed_salary_max":182,"processed_salary_currency":183,"processed_salary_source":23,"processed_working_hours":184,"processed_employment_types":26,"processed_it_skills":185,"processed_it_skills_labels":186,"processed_job_expertise_skills":194,"processed_job_expertise_skills_labels":195,"max_cpc":51,"actual_cpc":51},66754,"data-scientist-ii-the-toronto-dominion-bank-canada-4","Data Scientist II",{"name":175,"slug":176,"logo_url":10},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[178],"Toronto",[180],"CA",81600,115200,"CAD",[25],{"sql":34,"azure":28,"numpy":34,"github":28,"pandas":34,"python":34,"pyspark":34,"power bi":34,"scikit-learn":34,"visual studio code":28},[69,187,188,189,190,70,106,191,192,193],"Pyspark","Pandas","NumPy","Scikit-learn","GitHub","Visual Studio Code","Azure",{"forecasting":28,"data analysis":34,"data cleansing":34,"ai implementation":28,"capacity planning":28,"critical thinking":34,"data visualization":34,"workload estimation":28,"agentic ai workflows":100,"copilot based agents":100,"workforce management":28,"requirements gathering":28,"stakeholder management":28,"structured problem solving":34,"financial products knowledge":28},[196,197,198,122,199,200,201,41,202,203,204,205,44,206,207],"Data Analysis","Data Visualization","Data Cleansing","Workforce Management","Capacity Planning","Workload Estimation","Agentic AI Workflows","Copilot based agents","Financial Products Knowledge","Requirements Gathering","Critical Thinking","Structured Problem Solving",{"id":209,"slug":210,"title":211,"raw_title":10,"is_featured":11,"company":212,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":215,"processed_country_iso_code_gmaps":217,"processed_home_office":62,"processed_salary_min":218,"processed_salary_max":219,"processed_salary_currency":144,"processed_salary_source":23,"processed_working_hours":220,"processed_employment_types":26,"processed_it_skills":221,"processed_it_skills_labels":222,"processed_job_expertise_skills":224,"processed_job_expertise_skills_labels":225,"max_cpc":51,"actual_cpc":51},43709,"head-of-market-risk-for-us-credit-trading-executive-director-ucm-santander-us-capital-markets-llc","Head of Market Risk for US Credit Trading, Executive Director",{"name":213,"slug":214,"logo_url":10},"Santander US Capital Markets LLC","santander-us-capital-markets-llc",[216],"New York",[141],240000,300000,[25],{"ai tools":100},[223],"AI tools",{"ai implementation":100,"frtb implementation":34,"hedging instruments":34,"quantitative skills":34,"regulatory standards":34,"market risk management":34,"new product onboarding":34,"credit products knowledge":34,"market risk methodologies":34,"regulatory audit management":34,"infrastructure project management":34},[226,227,228,229,230,231,232,233,234,235,41],"Market Risk Management","Credit Products Knowledge","Hedging Instruments","Regulatory Standards","Market Risk Methodologies","Quantitative Skills","New Product Onboarding","Infrastructure Project Management","Regulatory Audit Management","FRTB Implementation",{"id":237,"slug":238,"title":239,"raw_title":10,"is_featured":11,"company":240,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":244,"processed_country_iso_code_gmaps":246,"processed_home_office":19,"processed_salary_min":248,"processed_salary_max":249,"processed_salary_currency":250,"processed_salary_source":23,"processed_working_hours":251,"processed_employment_types":26,"processed_it_skills":252,"processed_it_skills_labels":253,"processed_job_expertise_skills":254,"processed_job_expertise_skills_labels":255,"max_cpc":51,"actual_cpc":263},26502,"berater-agentic-ai-customer-experience-consultant-mwd-rv-versicherung","Berater (Agentic) AI \u002F Customer Experience Consultant (m\u002Fw\u002Fd)",{"name":241,"slug":242,"logo_url":243},"R+V Versicherung","rv-versicherung","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fb6\u002FR%2BV-Logo.svg\u002F330px-R%2BV-Logo.svg.png",[245],"Wiesbaden",[247],"DE",65000,85000,"EUR",[25],{},[],{"crm":28,"journey design":34,"kpi development":34,"ai implementation":34,"project management":28,"operations improvement":28,"business case development":34,"customer experience management":34,"financial services industry knowledge":28},[256,41,257,258,259,36,260,261,262],"Customer Experience Management","Journey Design","KPI Development","Business Case Development","CRM","Operations Improvement","Financial Services Industry Knowledge",0.5,{"image_path":10,"content_de":265,"content_en":278,"composite_key":287,"last_updated":10},{"tab1":266,"tab2":269,"tab3":272,"tab4":275},{"title":267,"content":268},"Bedeutung & Relevanz","Die **KI-Implementierung** ist eine Schlüsselkompetenz in der modernen Wirtschaft, da sie Unternehmen ermöglicht, künstliche Intelligenz effektiv in ihre Prozesse zu integrieren. Dies umfasst die Planung, Entwicklung und Einführung von KI-Lösungen, um Effizienz zu steigern, Kosten zu senken und innovative Produkte zu schaffen. In einer zunehmend datengesteuerten Welt ist die Fähigkeit, KI zu implementieren, entscheidend für Wettbewerbsvorteile und nachhaltiges Wachstum. Unternehmen, die diese Expertise nutzen, können automatisierte Systeme aufbauen, die menschliche Entscheidungsfindung unterstützen und neue Geschäftsmodelle ermöglichen.",{"title":270,"content":271},"Top-Branchen & Standorte","Die Nachfrage nach **KI-Implementierung** ist in verschiedenen Branchen hoch, insbesondere in **Künstliche Intelligenz**, **Finanztechnologie** und **Gesundheitssoftware**. Top-Standorte, die diese Fähigkeit schätzen, umfassen [Stuttgart](stuttgart) mit seiner starken Automobil- und Technologiebranche, [München](muenster) als Zentrum für Innovation, [Zürich](zuerich) für Fintech und [Singapur](singapore) als globaler Hub für Technologie. Weitere relevante Orte sind [Berlin](potsdam) für Start-ups und [Sydney](sydney) für digitale Transformationen.",{"title":273,"content":274},"Gefragte Skills & Arbeitgeber","Top-verwandte Expertise für **KI-Implementierung** umfasst **KI-Integration**, **KI-Forschung** und **KI-Infrastruktur-Expansion**. Führende Unternehmen, die diese Fähigkeit suchen, sind oft in Branchen wie **Banking und Finanzdienstleistungen** oder **Versicherung und Finanzdienstleistungen** tätig, darunter große Finanzinstitute in [Frankfurt](wiesbaden) oder Tech-Firmen in [Silicon Valley](newport-beach). Arbeitgeber priorisieren Kandidaten mit Erfahrung in agilen Methoden und cloud-basierten Lösungen wie AWS.",{"title":276,"content":277},"Karriere & Entwicklung","Karrierewege in der **KI-Implementierung** reichen vom KI-Entwickler bis zum Projektmanager, mit Möglichkeiten in **KI-Integration** und **KI-Implementierung**. Um die Fähigkeit zu erlernen, empfehlen sich Kurse in **KI-Dienste z.B. Azure OpenAI** und **AWS Cloud**, sowie praktische Erfahrung mit Tools wie Python oder TensorFlow. Top-verwandte IT-Skills umfassen **API-Entwicklung** und **agile Entwicklungsmethodiken**, die in Schulungen und Zertifizierungsprogrammen vermittelt werden. Fortbildungen in **KI-Prompt-Engineering** können die Karriere weiter vorantreiben.",{"tab1":279,"tab2":281,"tab3":283,"tab4":285},{"content":280},"**AI Implementation** is a critical expertise that bridges the gap between theoretical AI concepts and practical, real-world applications. It involves deploying AI models and systems into production environments, ensuring they are scalable, efficient, and aligned with business goals. This skill is essential for organizations looking to leverage AI for competitive advantage, as it drives innovation, automates processes, and enhances decision-making. Without effective implementation, even the most advanced AI technologies may fail to deliver value, making this expertise highly sought after in today's data-driven economy.",{"content":282},"AI Implementation is in high demand across various industries and locations. Top industries include [Artificial Intelligence](artificial-intelligence), [Finance](finance), [Banking](banking), [Insurance](insurance), and [Healthcare Software](healthcare-software), where AI drives efficiency and innovation. Key locations with strong demand include tech hubs like [Singapore](singapore), [Madrid](madrid), [Zürich](zuerich), [Stuttgart](stuttgart), and [Munich](muencher), as well as emerging centers in [Berlin](berlin) and [Dublin 2](dublin-2), reflecting global growth in AI adoption.",{"content":284},"Top related expertise for AI Implementation includes [AI Integration](ai-integration), [AI Research](ai-research), and [AI Technologies](ai-technologies), which are crucial for successful deployment. Leading companies requiring this skill span industries such as [Fintech](fintech) firms, [Banking and Financial Services](banking-and-financial-services) providers, and [Healthcare Software](healthcare-software) developers. Employers often seek professionals with experience in implementing AI solutions to enhance operations, improve customer experiences, and drive data-driven insights, making this expertise a key differentiator in competitive markets.",{"content":286},"A career in AI Implementation offers diverse paths, from roles like AI Engineer to Solutions Architect, with opportunities for growth into leadership positions. To learn this skill, focus on gaining hands-on experience with [AI Tools](ai-tools), [API Development](api-development), and cloud platforms like [AWS](aws). Relevant top related expertise includes [AI Prompt Engineering](ai-prompt-engineering) and [AI Infrastructure Expansion](ai-infrastructure-expansion), while key IT skills involve [Agile Methodologies](agile-methodologies), [Algorithm Development](algorithm-development), and proficiency in programming languages and frameworks. Continuous learning through courses, certifications, and practical projects is essential for success in this evolving field.","expertise:ai-implementation",{"industry":289,"employment_type":300,"expertise_skills":303,"it_skills":356,"salary_currency":414,"processed_working_hours":420},[290,294,297],{"key":291,"label":292,"count":293},"financial services","Financial Services",5,{"key":295,"label":296,"count":100},"insurance","Insurance",{"key":298,"label":299,"count":51},"banking","Banking",[301],{"key":26,"label":302,"count":4},"PERMANENT",[304,307,310,312,314,316,318,320,322,324,326,328,330,332,335,337,339,342,344,346,348,350,352,354],{"key":305,"label":306,"slug":305,"count":4},"ai-implementation","Ai Implementation",{"key":308,"label":309,"slug":308,"count":28},"project-management","Project management",{"key":311,"label":47,"slug":311,"count":100},"reporting",{"key":313,"label":122,"slug":313,"count":100},"forecasting",{"key":315,"label":42,"slug":315,"count":100},"process-improvement",{"key":317,"label":79,"slug":317,"count":100},"data-analytics",{"key":319,"label":44,"slug":319,"count":100},"stakeholder-management",{"key":321,"label":84,"slug":321,"count":100},"statistical-analysis",{"key":323,"label":86,"slug":323,"count":51},"business-intelligence",{"key":325,"label":83,"slug":325,"count":51},"campaign-optimization",{"key":327,"label":200,"slug":327,"count":51},"capacity-planning",{"key":329,"label":123,"slug":329,"count":51},"cash-management",{"key":331,"label":130,"slug":331,"count":51},"cloud-technologies",{"key":333,"label":334,"slug":333,"count":51},"copilot-based-agents","Copilot Based Agents",{"key":336,"label":227,"slug":336,"count":51},"credit-products-knowledge",{"key":338,"label":206,"slug":338,"count":51},"critical-thinking",{"key":340,"label":341,"slug":340,"count":51},"crm","Crm",{"key":343,"label":82,"slug":343,"count":51},"customer-analytics",{"key":345,"label":256,"slug":345,"count":51},"customer-experience-management",{"key":347,"label":80,"slug":347,"count":51},"dashboard-design",{"key":349,"label":196,"slug":349,"count":51},"data-analysis",{"key":351,"label":198,"slug":351,"count":51},"data-cleansing",{"key":353,"label":129,"slug":353,"count":51},"data-management",{"key":355,"label":85,"slug":355,"count":51},"data-mining",[357,359,361,364,367,369,371,373,375,377,380,382,384,386,389,391,393,395,398,401,404,406,409,412],{"key":358,"label":69,"slug":358,"count":100},"python",{"key":360,"label":70,"slug":360,"count":100},"sql",{"key":362,"label":363,"slug":362,"count":100},"ai-tools","Ai Tools",{"key":365,"label":366,"slug":365,"count":100},"ms-powerbi","MS PowerBI",{"key":368,"label":112,"slug":368,"count":100},"ms-excel",{"key":370,"label":113,"slug":370,"count":100},"ms-powerpoint",{"key":372,"label":104,"slug":372,"count":51},"alteryx",{"key":374,"label":72,"slug":374,"count":51},"application-development",{"key":376,"label":149,"slug":376,"count":51},"automation-tools",{"key":378,"label":379,"slug":378,"count":51},"ms-azure","MS Azure",{"key":381,"label":103,"slug":381,"count":51},"azure-data-platform",{"key":383,"label":154,"slug":383,"count":51},"backup-solutions",{"key":385,"label":150,"slug":385,"count":51},"cloud-platforms",{"key":387,"label":388,"slug":387,"count":51},"dashboard-and-reporting-tools","Dashboard And Reporting Tools",{"key":390,"label":110,"slug":390,"count":51},"data-lakes",{"key":392,"label":73,"slug":392,"count":51},"data-visualization-tools",{"key":394,"label":111,"slug":394,"count":51},"data-warehouses",{"key":396,"label":397,"slug":396,"count":51},"etl-pipelines","Etl Pipelines",{"key":399,"label":400,"slug":399,"count":51},"github","Github",{"key":402,"label":403,"slug":402,"count":51},"graphql-apis","Graphql Apis",{"key":405,"label":102,"slug":405,"count":51},"microsoft-fabric",{"key":407,"label":408,"slug":407,"count":51},"network-technologies-dhcp-dns-tcpip-vlan-snmp","Network Technologies (Dhcp, Dns, Tcp\u002FIp, Vlan, Snmp)",{"key":410,"label":411,"slug":410,"count":51},"numpy","Numpy",{"key":413,"label":188,"slug":413,"count":51},"pandas",[415,416,417,418,419],{"key":65,"label":65,"count":100},{"key":144,"label":144,"count":100},{"key":183,"label":183,"count":51},{"key":250,"label":250,"count":51},{"key":22,"label":22,"count":51},[421],{"key":25,"label":25,"count":4},{"total":51,"jobs":423},[424],{"id":425,"slug":426,"title":427,"raw_title":10,"is_featured":428,"company":429,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":433,"processed_country_iso_code_gmaps":435,"processed_home_office":436,"processed_salary_min":437,"processed_salary_max":248,"processed_salary_currency":250,"processed_salary_source":10,"processed_working_hours":438,"processed_employment_types":302,"processed_it_skills":440,"processed_it_skills_labels":10,"processed_job_expertise_skills":441,"processed_job_expertise_skills_labels":442,"max_cpc":448,"actual_cpc":10},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":430,"slug":431,"logo_url":432},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[434],"Frankfurt am Main",[247],"HYBRID",45000,[439],"full_time",{},{"Financial Analysis":28,"Regulatory Compliance":28,"New Customer Acquisition":28,"Private Banking Advisory":28,"Banking Products Knowledge":28,"Customer Relationship Management":28},[443,444,445,125,446,447],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]