Streamlining Business through Business Intelligence, Artificial Intelligence & Big Data Analytics
2025-05-19 - 2025-05-21 | Kuala Lumpur, Federal Territory of Kuala Lumpur, Kuala Lumpur, Malaysia
Why Choose this Training Course
Participants will be able to use data accumulated in the organisation to provide valuable insights into future business decisions. This widens the job scope of the employees and creates potential for companies to enhance productivity.
This business intelligence training course differs from other training programs in the market as it is not vendor-specific. Instead of forcing attendees to fit the company into the BI tools ability, Daan will teach participants on what to look out for when picking a BI tool that will best fit the company. On top of that, the course aims to teach you the best practices to implement BI throughout the firm and to perform predictive analysis as well. The business intelligence training course will advice trainees on how to plan for, create and sustain a BI framework within the company regardless of the tools currently used by the company. Participants will also be tutored on how to use the BIL framework to create exceptionally intelligent dashboards and predictive analysis that will essentially increase organizational performance.
Who Should Attend

BI managers
IT managers
Business Managers
Analytic Translators
Project Managers
IT & BI Consultants
Business Data Scientists
Information Managers
CIO
CFO’s
Chief Data Officers (CDO)

Key Learning Objectives
• Key performance indicators & world-class intelligence
• How to create world-class intelligence in your dashboards & reports?
• AI & data leadership: case & steps to a successful implementation
• Top BI & AI trends 2030
• Business Intelligence & AI project management & governance
• Artificial Intelligence & Data science
• Data warehousing, data lakes and tooling from a functional perspective
• How to increase organizational Performance (Case Study)
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AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea, Democratic People's Republic ofKorea, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands, BritishVirgin Islands, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands
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Mastering AI in Tenders & Contracts
2025-05-21 - 2025-05-22
Why Choose this Training Course
This AI tenders and contracts training addresses the key issues and challenges that tenders and contracting professionals face with Artificial Intelligence, and how to ensure that AI serves as an enabler of their success.
Learning to use AI in contracts and supply chain management is not just about staying ahead—it’s about redefining the game. Imagine having the ability to seamlessly analyze complex contracts, predict supply chain disruptions before they occur, and streamline operations all from the palm of your hand. AI transforms reactive processes into proactive strategies, giving you the edge in efficiency, precision, and foresight. In a competitive market, those who harness the power of AI aren’t just keeping up; they’re leading the charge, carving out a future where every decision is informed, every risk is mitigated, and every operation runs like a well-oiled machine. Stay relevant. Stay powerful. Be the future.
Who Should Attend

SCM, purchasing, sourcing and supply management professionals
Sales contracting professionals
Contract lawyers and attorneys
Contract management professionals
Contract managers and administrators
Contract end-users who impact, or are impacted by, the contracting process – including Operations, Project/Development team members
Finance professionals involved in contracting
Contract negotiators
Operational managers
Commercial relationship managers
Project managers
Risk managers
Change management leaders

Key Learning Objectives
Upon completing this online session, participants will be able to:

Understand how AI can automate repetitive tasks, such as contract analysis and supply chain monitoring, freeing up time for more strategic activities.
Achieve greater accuracy, as AI reduces human error in contract management and supply chain operations, ensuring more accurate data and decision-making.
Manage risk with greater effectiveness by identifyingy potential risks and compliance issues in contracts and supply chains, helping you proactively mitigate those risks.
Generate cost savings by optimizing processes and reducing errors.
Gain greater insights in analyzing large datasets – providing valuable insights and ensuring better decision-making.
Operate more efficiently, accurately, and cost-effectively, while also providing strategic advantages.
Achieve excellence in your commercial relationships.
Realize the full value and risk reductions that you have negotiated.
Develop and improve upon skills in a wide range of contracting and supply chain management practices.
Learn how to drive greater value and innovation into subsequent contracting cycles with your commercial partners.

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AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea, Democratic People's Republic ofKorea, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands, BritishVirgin Islands, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands
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Mastering AI for Communication Efficiency
2025-05-22
Why Choose this Training Course

This is a one-day AI efficiency training course. In an era where communication is paramount, yet time is scarce, Artificial Intelligence (AI) emerges as a powerful ally. The “Mastering AI for Efficiency’ – AI bootcamp” AI efficiency training is designed to unlock the potential of AI in enhancing communication efficiency and effectiveness. This course, divided into two 3.5-hour modules, guides participants through the landscape of AI tools and techniques that can revolutionise the way we create, understand, and engage with content and each other. From writing assistance to speech recognition and beyond, discover how AI can transform your communication strategies, making them more impactful and effortless.

Who Should Attend
This AI efficiency training is suistable for all professionals wish to gain more confidence in using AI for efficient communication efforts.
Career Level: All career levels
Key Learning Objectives

Gain an understanding of artificial intelligence and its role in modern communication.
Recognize how AI technologies are transforming the landscape of digital communication.
Identify and explore a variety of AI tools for writing assistance, speech transcription, email and social communication.
Learn practical applications of AI in creating engaging content, including blogs, articles, and multimedia content.
Gain hands-on experience in integrating AI tools into personal and organisational communication strategies.
Understand the ethical implications and considerations of using AI in communication.
Learn strategies for responsible use of AI, including maintaining human oversight, ensuring data privacy, and addressing bias in AI algorithms.
Engage in interactive discussions and workshops to foster collaborative learning and innovation.

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AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea, Democratic People's Republic ofKorea, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands, BritishVirgin Islands, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands
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Petroleum Data Analysis
2025-05-26 - 2025-05-27
Why Choose this Training Course
Many organizations are looking to re-task and up-skill their data management personnel to focus on important data types, fill roles in projects that are critical to success, and position staff for changes in the energy industry. In addition, the competitive pricing regime means that many assets will be examined internally for divestiture, joint venture, mergers, or acquisition and will require auditable, coherent and well curated data sets available for evaluation. This course teaches the processes that capture and transform raw data into actionable insight to improve asset value and reduce risk for the petroleum industry. One of the challenges the industry faces is making validated data available to decision-makers across several departments, functions or disciplines in a timeframe that supports critical business decisions. This course gives participants hands-on techniques for breaking down barriers and making data available to decision makers. The course draws on case studies and examples from upstream and subsurface technical data.
Recent work with petroleum data analysts has highlighted the areas of best practice from field validated data management methodologies that will be most important in the next 18 months of a rapidly changing energy and resource sector. This course has been customized based on those industry priorities and is a highly interactive and hands on practical course for technical workers who deal with oil and gas data in subsurface operations domains.
The procedures and high level enterprise processes can be applied to reduce risk and to develop lessons learned for critical legacy data. There is a continued push for programs and initiatives that will deliver efficiencies and benefits in a short time frame with demonstrable value and metrics.
This petroleum data analysis training will equip data managers and technicians with the competencies and skill sets needed to deliver value from all types of data, using industry best practices and proof points from an established data management body of knowledge. The petroleum data analysis training content is aligned with competency definitions, indicators and resources in the Professional Petroleum Data Management Association’s Certified Petroleum Data Analyst (CPDA) Exam.
Who Should Attend
This petroleum data analysis training works best with professionals whose role is linked to data management and could include:

Data managers
Data analysts
Data technicians
Document managers
Facilities data managers and technicians
Engineering records managers
Data architects
Technical librarians for asset teams
Surface data content managers
Operational information managers
End users of operational, facilities and engineering data
Asset team data managers
Industry content provider
Technical assistants working with operational data

Key Learning Objectives

Manage data as an asset through exploration and production lifecycle processes
Learn how an organization analyses and oversees maintenance of data and information stores
Examine how organizations apply quality management methods to assess, improve and assure data fitness for business use
Communicate value of data in a clear and timely manner to align with business strategy
Apply policies, practices, and procedures to assure compliance with company and regulatory data governance business rules •
Execute strategies for data security management
Optimize the use of critical geospatial data for petroleum analysis
Select and prioritize the scope of data types to be managed in master data stores

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AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea, Democratic People's Republic ofKorea, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands, BritishVirgin Islands, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands
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E&P Data Management
2025-05-28 - 2025-05-29
Why Choose this Training Course
This &P data management focuses on how key facets of successful field-validated data governance frameworks can be deployed at resource industry organizations, based on industry accepted optimum practices and standards, and lessons learned from real-world experience.
Who Should Attend
This E&P data management training works best with professionals whose role is linked to data management and could include:

Data managers
Data analysts
Data technicians
Document managers
Facilities data managers and technicians
Engineering records managers
Data architects
Technical librarians for asset teams
Surface data content managers
Operational information managers
End users of operational, facilities and engineering data
Asset team data managers
Industry content provider
Technical assistants working with operational data

Key Learning Objectives

Recognize and identify where data governance is enabled in an organization
Describe the value of data governance for internal and external stakeholders
Indicate how roles and responsibilities are deployed in data management activities
Understand how to deploy data management activities within data governance frameworks
Use industry standard language for organizational data governance terms and definitions
Explain how data governance maintains the value of data through its lifecycle
Map data workflow roles to data governance accountabilities and responsibilities
Identify data governance roles implement data classification and entitlements
Suggest ways to measure the value added by data governance
Propose a level of data governance appropriate to an organization’s complexity

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AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea, Democratic People's Republic ofKorea, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands, BritishVirgin Islands, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands
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