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About SAS
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- Predicting real-time insurance needs with hyperpersonalization
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- Saving lives by sharing data and analytics during a global crisis
- SDC
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- Shionogi
- Shop Direct
- Siemens Healthineers
- Sinclair Community College
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- TIM
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SAS Insights Articles
- Stopping the Zika virus: The potential of big data, analytics
- #Data4Good: Treating cancer, one patient at a time
- *Insights Article Quick Start Page - WITH Quote
- *Insights Article Quick Start Page - WITH Quote
- *Insights Article Quick Start Page - WITH Quote
- *Insights Article Quick Start Page - WITH VIDEO
- 10 design elements to consider before building an analytical model
- 10 tips for analytics success
- 10 ways analytics can make your city smarter
- 3 things you need to know about event stream processing
- 3 ways to rethink retail forecasting and demand planning
- 4 stratégies qui vont changer votre approche de la détection des fraudes
- 5 Challenges for IoT in the insurance industry
- 5 data management best practices to help you do data right
- 5 IoT applications retailers are using today
- 5 leadership tips from a four-star general
- 5 machine learning mistakes and how to avoid them
- 5 questions about open analytics
- 5 steps to sustainable GDPR compliance
- 5 ways data monetization can inform data strategy
- 5 ways to measure beehive health with analytics and hive-streaming data
- 6 ways big data analytics can improve insurance claims data processing
- 8 ways an enterprise data strategy enables big data analytics
- 9 questions on in-memory analytics
- A brave new world of analytics
- A culture of evidence
- A data scientist’s views on data literacy
- A framework for analytics governance
- A Getting Started With Hadoop Checklist
- A guide to machine learning algorithms and their applications
- A lesson in customer service from Chick-fil-A President Dan Cathy
- Analytics for commodity market compliance
- A police force of our time
- AI in banking: Survey reveals factors for success
- AI in government: The path to adoption and deployment
- AI in manufacturing: New opportunities for IT and operations
- Amplify your data career with analytics
- An executive’s guide to cognitive computing
- Analytic simulations: Using big data to protect the tiniest patients
- Analytics at the edge
- Analytics drives innovation
- Analytics enable companies to provide superior customer experience in telco business
- Analytics for all, all in one place
- Analytics for prescription drug monitoring: How to better identify opioid abuse
- Analytics leads to lifesaving cancer therapies
- Analytics startup focuses on health care optimization
- Analytics tackles the scourge of human trafficking
- Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
- Applying machine learning to IoT data
- Applying technology to ensure voter integrity in elections
- Are you covering who you think you’re covering?
- Are you good at scoring?
- Are you ready for your smart car?
- Artificial intelligence, machine learning, deep learning and more
- As AI accelerates, focus on 'road' conditions
- Become a strategic business partner using analytics in finance
- Better alignment of incentives: Helping cure data analytics in health care
- Beyond IFRS 17 – what's next?
- Big data and global development
- Big data and the Internet of Things: Two sides of the same coin?
- Big data in government: How data and analytics power public programs
- Big data in health care
- Big data integration: Go beyond 'just add data'
- 5 things you need to know about big data management
- Big data privacy: Four ways a data governance strategy affects security, privacy and trust
- Big data, big value … huge opportunity
- Brand equity has a big role in RCI's strategy
- Break stuff . . . servers, rules and the glass ceiling
- Bringing data to the stream
- Broken promises? Avoid IoT traps with an analytics platform
- Building a high-performance marketing engine
- Can advanced analytics for credit scoring change the mortgage market?
- Can data sharing lead to cancer discoveries?
- Can sensing cities become thinking and responsive cities?
- Canada Post on the (careful) commercialization of data
- Capter l'attention du consommateur hyper-connecté de demain ?
- CECL: Are US banks and credit unions ready?
- Charlie Brown's Teacher Speaks Hadoop. Do you?
- Chief data officer role shakes up traditional data governance
- Clear-cut big data strategy tied to strong financial performance
- Coming soon: The Industrial Internet and IoT standards
- Coming soon: The Internet of Cars
- Comment prévenir la fraude aux achats
- Components of an information management strategy
- Concussion: Journalist crunches the numbers and breaks a scandal
- confidence in your customer experience
- Connected vehicles: IoT steers a new direction for OEMs
- Contact tracing investigations for public health: Technology enhances epidemic investigation
- Containing health care costs: Analytics paves the way to payment integrity
- Contextual engagement
- Continuous monitoring: Stop procurement fraud, waste and abuse now
- Could APIs provide advanced analytics for the masses?
- Credit risk management is the answer
- Customer Data Platform : présentation et atouts | SAS
- Customer engagement and moments of truth
- Customer journey analytics goes mainstream
- Customer journey management: Eliminating missed opportunities
- Customer Journey Mapping – Why Is It Important
- Customer journeys: How to be ready when customers visit
- Customer loyalty in a digital world
- Customer loyalty in a digital world
- Customer segmentation for a new digital experience
- Data and the customer experience
- Data driven economy et transformation numérique
- Data drives destiny
- Data governance framework: What is it and do I already have one?
- Data governance: The case for self-validation
- Data integration: It ain't what it used to be
- Data lake : Présentation et atouts
- Data lake and data warehouse – know the difference
- Data lineage: Making artificial intelligence smarter
- Data management backgrounder
- Data quality management What you need to know
- Data quality: The Achilles' heel of risk management
- Data Scientist Series
- Data visualization: A wise investment in your big data future
- Data-driven health care | SAS
- Detect and prevent banking application fraud
- Detecting health care claims fraud
- Digital transformation for SMBs
- Digital transformation: Moving from handshakes to householding at Comerica
- The digitization of everything — its impact on customer experience
- The digitization of everything – its impact on the buyer’s journey and marketing’s role
- Do marketers need real-time analytics
- Doing good with data
- Fraud detection and machine learning: What you need to know
- Edge computing
- Educating informed “intuitants"
- Effective real-time marketing
- Empty shelves: the retail analytical talent deficit
- Establishing a roadmap for government data analytics takes less time than you think
- Evolving your institutional insight
- Exploring the sun with big data
- Finding COVID-19 answers with data and analytics
- Five AI Technologies
- Five questions to help bridge the analytics gap
- Five steps that can save your data analytics – and help you save face
- Five trends that will reshape customer experience
- Five ways to approach analytics differently
- Five ways your organization can enhance resilience for years to come
- Four multichannel marketing strategies that deliver exceptional customer experiences
- IA contre la fraude en ligne : la technologie au service de la sécurité
- From Apollo to AI: A new era of American exploration
- From lab to life
- From living on the streets to owning a profitable business
- frtb: a wait and see strategy could be risky
- Game-changing technologies turn IIoT data into gold
- GDPR and AI: Friends, foes or something in between?
- Goooooal! How data stewards score with data visualization
- Hadoop in the boardroom?
- Hadoop is the new boardroom buzzword
- Hadoop survey results reveal use cases, needs and trends
- Harnessing the martech advantage
- Health care cost containment through big data analytics
- Hiring? We have the data scientist interview questions you need
- Homelessness data holds insights to a hidden problem
- How AI and advanced analytics are impacting the financial services industry
- How big data analytics can be the difference for law enforcement
- How can analytics change the world of 'Narcos'?
- How data visualization helps crack down on crime
- How do recommendation systems know what you might like?
- How do you know if you’re ready for Hadoop?
- How does a center of excellence really work?
- How health care leaders deployed analytics when crisis hit
- How openness can supercharge event stream analytics
- How police forces can use data to prevent crime
- How researchers are fighting cancer with analytics
- How to add analytics to your application development pipeline
- How to create your own organizational think tank
- How to drill a better hole with analytics
- How to find and equip the citizen data scientists in your midst
- How to get the most value from your data scientists
- How to improve data prep for analytics: TDWI shares best practices
- How to improve your AI marketing skills
- How to uncover common point of purchase
- How to work like a disrupter
- How Walmart makes data work for its customers
- Big Data is the Cineplex of Today's Data
- IFRS 17 and Solvency II: Insurance regulation meets insurance accounting standards
- IFRS 17: Waiting is not an option
- IFRS 9 and CECL: The challenges of loss accounting standards
- Improve child welfare through analytics
- Improving customer experience with digital marketing
- Inside sports analytics: 10 lessons for business leaders
- Intelligence for action
- Internet des objets, Cloud et Big Data Innovation Lab
- Internet of things applications across multiple industries
- Introduction to machine learning: Five things the quants wish we knew
- IoT challenges in the connected supply chain
- IoT in health care: Unlocking true, value-based care
- IoT in manufacturing: Voices from the field
- IoT success depends on data governance, security and privacy
- IoT: The customer experience accelerator you can't afford to ignore
- IoT: The next best thing to reading your customer’s mind
- Is open data the next step in digitization?
- Is your data too big to visualize?
- IT/OT convergence: The dilemma of the IoT perception gap
- Keeping an open mind about open analytics
- Keeping your customers happy with assortment optimization
- Key questions to kick off your data analytics projects
- Know your blind spots in tax fraud prevention
- Know your data, know your customers
- L'IA transforme l'assurance : découvrez comment avec ces 8 exemples
- Learning the art of analytical storytelling
- Lessons from the track
- Lessons learned, looking forward
- Linking data to the customer journey
- Location analytics: Why adding where makes BI better
- Location intelligence: Adding geospatial context to BI
- L’Intelligence Artificielle des Objets (AIoT) - SAS France
- Machine learning and artificial intelligence in a brave new world
- Machine learning for beginners and beyond
- Machine learning, data science and AI meet IoT
- Making sense of streaming data in the Internet of Things
- Managing fraud risk: 10 trends you need to watch
- Marketers and privacy
- Marketing et IA : que réserve l'avenir ?
- Marketing for the midmarket
- Marketing measurement do's and don'ts
- Marketing optimization: Five lessons learned at a major US bank
- Medicaid and benefit fraud in 2018 and beyond
- Meet the data scientist: Alex Herrington
- Meet the data scientist: Colin Nugteren
- Meet the data scientist: Daymond Ling
- Meet the data scientist: Kristin Carney
- Meet the data scientist: Manuel David Garcia
- Meet the data scientist: Steve Einbender
- Meet the data scientist: Victor Fang
- Mobile payments, smurfs and emerging threats
- Model risk management: Vital to regulatory and business sustainability
- ModelOps : comment opérationnaliser le cycle de vie d'un modèle
- Modern manufacturing's triple play: Digital twins, analytics & IoT
- Modernize your approach to big data
- Nerd in the herd: protecting elephants with data science
- New attitudes for liquidity risk management
- New payments frontier opens door for more effective health care fraud prevention
- Online fraud: Increased threats in a real-time world
- Online payment fraud stops here
- Operationalizing analytics: 4 ways banks are conquering the infamous ‘last mile’
- Optimizing well placement to eliminate water poverty
- Out of size, out of mind
- Payment fraud evolves fast – can we stay ahead?
- People analytics: Make smarter decisions
- Personal data: Getting it right with GDPR
- Practical advice for better business forecasting
- Preparing a new generation for leadership in a big data world
- Proactive detection – A new approach to counter terror
- Public health infrastructure desperately needs modernization
- Putting an end to pay and chase
- Putting you at the frontier of the fan experience
- Qu'est-ce que la modélisation IA ?
- Qu'est-ce que le profilage des données et comment facilite-t-il le big data ?
- Qu'est-ce que les données synthétiques ?
- R 'Ray' Wang: A conversation with a digital disruptor
- Real-time customer engagement is the future of experience management
- Real-world techniques for analyzing big data
- Reimagine marketing: Today, tomorrow and in times of disruption
- Resilience in the face of unpredictability
- Retail cyber risk tolerance
- Rethink customer due diligence
- Risk capital and lessons from the Titanic
- Risk data aggregation: Transparency, controls and governance are needed for data quality and reporting
- Risk data infrastructure: Staying afloat on the regulatory flood
- SAS CIO: Why leaders must cultivate curiosity in 2021
- Saving lives during a global pandemic through medical resource optimization
- Scenario stress testing: Beyond regulatory compliance
- See IoT industry examples in action
- Sensing a disturbance in the data
- Seven characteristics of the modern consumer
- Seven tips for creating a self-service BI governance strategy
- Should banks adopt regulations as best practices?
- Shut the front door on insurance application fraud!
- Situational awareness guides our responses – routine to crisis
- Skip the fire drills
- Small but mighty: Modern marketing for the midmarket
- Small-time cheats and organized crime: Benefits fraud re-examined
- Smart cities, smart energy solutions – thanks to the IoT
- Soccer versus baseball: which is the best analogy for data governance?
- Stop contract and procurement fraud
- Streaming data: The ins and outs of this technology buzzword
- Strengthen your payment fraud defenses with stronger authentication
- Stress Test Infographic
- Student growth measures show the way to educational success
- Student lands dream job with help from SAS
- Supporting indigenous communities with analytics
- Taking pre-emptive action to stem the tide of VAT fraud losses
- The 5 new rules of retail
- The advantages of an analytics culture
- The analytical CRO and the risk aware CFO
- The best gift you can give to thieves this holiday season? Your identity.
- The big effects of big data
- The connected consumer: IoT's impact on the future of retail
- The customer journey: Finding the buy signal
- The customer journey: Why you need journey maps
- The era of gargantuan data
- The first step in building a better customer experience
- The five D's of data preparation
- The future of IoT: On the edge
- The Humanity in Artificial Intelligence
- The ideal customer experience on every channel
- The importance of data quality: A sustainable approach
- The Internet of Things infographic
- The intersection of modern IT and advanced analytics
- The marketer's dream: Harmonic convergence
- The marketing analytics must-haves
- The modern marketing leader: Is your CMO ready?
- The municipality’s analytical journey
- The OODA Loop
- The opportunity of smart grid analytics
- The scoop on Hadoop
- The transformational power of evidence-based decision making in health policy
- The University of Alabama makes better decisions through education analytics
- The untapped potential in unstructured text
- The value of marketing metrics at Visa
- The “problem-solver” approach to data preparation
- Three C’s of the connected customer in the IoT
- Three reasons reporting and analytics projects fail and how to avoid the pitfalls
- Three steps for conquering the last mile of analytics
- Three tips for innovating with big data
- Three ways to improve real time marketing results
- Thwarting disruption with strategic investments in innovation
- Tips for hiring and managing data scientists
- Tips for making the most of your analytics software
- Top prepaid card fraud scams
- Toyota Financial Services’ CIO is a model for change: part innovator, part gatekeeper
- Tracking down answers to your questions about data scientists
- Tread carefully with customer data platforms
- Turning the analytical talent gap into an analytical talent dividend
- Twelve questions to ask your data visualization software vendor
- Uncover hidden financial crime risk
- Under siege: Improving customer experience in banking
- Understanding capital requirements
- Understanding capital requirements in light of Basel IV
- Understanding data in motion
- Unemployment fraud meets analytics: Battle lines are clearly drawn
- Unlocking the real value of the IoT
- UPS loves logistics … and analytics
- Use education dashboards to publicize the value of analytics
- Use of data visualization and analytics in education is growing
- Using analytics to prevent deadly infections
- Using big data to predict suicide risk among Canadian youth
- Using data to change the world
- Using data to control unruly hotel pricing
- Using Hadoop as an analytics catalyst
- Viking transforms its analytics strategy using SAS® Viya® on Azure
- Wanted: AI leaders
- What are AI hallucinations?
- What are chatbots?
- What big data has brought to the privacy discussion
- What can SAS do to help mitigate cyber threats?
- What coaching a new driver and developing an analytics culture have in common
- What is a risk model?
- What is marketing automation?
- What is omnichannel analytics?
- What is streaming data? A Current Technology Buzzwords question.
- What is streaming data? A Current Technology Buzzwords question.
- What is the Internet of Things?
- What is the most challenging aspect of dealing with cyber threats today?
- What is the “grey area” of cyber?
- What was your data doing during the financial crisis?
- What's your level of digital marketing maturity?
- What’s powering the digital economy? The analytics economy.
- When it matters: Safeguarding your organization from the inside
- Where is the cybersecurity market headed?
- Which of these 4 types of marketer are you?
- Why banks need to evolve their approach to climate and ESG risk
- Why pharmaceutical firms are investing in real-world evidence
- Why you should care about episode analytics
- Why your brain needs data visualization
- Will health care be fundamentally changed post-COVID-19?
- Winning customers’ hearts (and their feedback)
- Women in analytics: Elisa Gois, MGM Resorts
- Women in analytics: Katherine Sanborn, Kellogg Company
- Women in analytics: Susan Thomas, GM Financial
- Women in Analytics: Susan Weidner, IntrinsiQ Specialty Solutions
- You can’t have that data! It’s not perfect yet
- You don’t know me. Or do you? Data meets anthropology
- Your customers aren't afraid of new technologies. Are you?
- Your personal data scientist
Webinars
- SAS® Studio ou SAS® Enterprise Guide®, quelle interface pour mes besoins ?
- 10 façons de rendre l'exécution de votre code SAS plus efficace
- Améliorer sa forecast accuracy dans un processus continu
- Analytics Value Training - A Framework
- Ask the Expert - Parcours de transformation
- Ask the Expert - Parcours de transformation 2023
- Assises de l’Industrie 2020 – Transformation digitale dans l’usine du futur : quels nouveaux challenges ?
- Bien démarrer avec SAS® Studio
- Boostez vos déploiements avec l’intégration de GIT dans SAS
- Bénéficier des innovations Open Source sur SAS® Viya®
- Chief Compliance Officer 2021
- Choisis ta propre aventure avec Sylvain Tremblay
- Choisis ta propre aventure avec Sylvain Tremblay
- Comment faire face à la volatilité de la demande avec l’analytique collaborative ?
- Comment mettre à disposition des outils de pilotage auprès de vos clients Entreprise ou vos partenaires ?
- Comment repenser son parcours et son expérience client post Covid ?
- Comment utiliser SASPy pour interfacer avec SAS à partir de mon code Python ?
- Covid-19 : Analyse continue des impacts sur les indicateurs de risque
- Création de graphiques personnalisés avec SAS Visual Analytics
- Customer Experience 2030 - bringing empathy to your customer interactions
- Data et Humain : comment infuser la culture de la data dans l’entreprise ?
- DE BÂLE III À BÂLE IV - 17ème conférence annuelle DII
- Digitalisation de l’assurance : comment garder le contrôle du marché face aux GAFAM ?
- Découvrez les dernières nouveautés de « SAS Studio on Viya »
- Découvrir et rejoindre la communauté d’Ambassadeurs SAS
- Développer dans un environnement maîtrisé : SAS Viya® Workbench®
- Faire de la Cartographie avec SAS
- Gestionnaires, comment améliorer votre performance opérationnelle avec la Data ?
- Hello Data! 2023 - Data & Intelligence Artificielle pour une innovation responsable
- Hello Data! 2024 - La nouvelle ère de l’IA. IA générative et données synthétiques - entre convictions et réalité.
- Identify, Govern and Protect Personal Data
- Industrialisation et sécurisation du processus d'inventaire en épargne-retraite
- Introduction au Machine Learning
- L'analytique avancée dans le domaine des achats - défis internes et externes
- La collaboration entre les utilisateurs Open source et SAS
- Le big data et l’analytique au service d’une gestion immédiate des sinistres et d’une meilleure satisfaction client : l’exemple de Statim
- Le parcours d'un client SAS 9 vers SAS Viya
- Les 10 principales erreurs de syntaxe et la façon de les résoudre
- Les 5 astuces PROC SQL les plus pratiques
- Les biais cognitifs à reconnaître pour améliorer vos prises de décisions avec l’IA
- Les dernières nouveautés de SAS Visual Analytics
- Live Webinar
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- LIVE WEBINAR
- LIVE WEBINAR
- LIVE WEBINAR
- Live Webinar
- Live Webinar
- L’analyse de données pour optimiser les moments clés de la relation client
- Machine Learning avec Python et SAS® Viya®
- Mobilité des Rapports avec SAS Visual Analytics
- Nouveautés SAS® Enterprise Guide® 8.2
- On-Demand Webinar
- On-Demand Webinar
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- ON-DEMAND WEBINAR
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- Parcours analytique : 1. Enjeux et collaboration en mode projet
- Parcours analytique : 2. Préparation des données en self-service
- Parcours analytique : 3. Analyse exploratoire en self-service
- Parcours analytique : 4. Développement rapide d’un modèle champion
- Parcours analytique : 5. Développer en code Python, R avec des données SAS et services SAS® Viya®
- Parcours analytique : 6. Gestion des modèles SAS et Open Source dans la plateforme analytique
- Parcours analytique : 7. Intégrer modèles et règles métier dans un système de décision
- Parcours analytique : Ep. 8 | Déploiement des modèles Machine Learning en production
- Parcours analytique : Ep. 9 | Choix d’architecture pour supporter un projet analytique end-to-end
- Parcours Analytique dans le Cloud Azure
- Part 1: FS Digital Transformation Series
- Part 1: Govt Digital Transformation Series - Data is the Foundation to Enable Digital Transformation
- Part 2: FS Digital Transformation Series
- Part 2: Govt Digital Transformation Series - Data is the Foundation to Enable Digital Transformation
- Part 3: FS Digital Transformation Series -
- Part 3: Govt Digital Transformation Series - Diversity and Inclusion in Government
- Part 3: Govt Digital Transformation Series - Diversity and Inclusion in Government
- Part 4: Govt Digital Transformation Series - AI in Government: Analytical Driven Decisions for Better Outcomes
- Personnalisation de vos sorties SAS
- Pilotage à chaud des centres de la relation clients (CRC) en Assurance
- Pourquoi créer une solution Retail de planification ou d'optimisation sur SAS Viya
- Proc SQL ou Proc FEDSQL : Que doit utiliser un programmeur ?
- Procurement Integrity
- Programmer en SAS avec SAS VIYA
- Quel algorithme de Machine Learning choisir ?
- Quelles pistes d’optimisation pour l’Octroi de Crédit ?
- Relais Colis : utiliser l'analytique pour assurer les livraisons et piloter l'activité en période d'incertitudes
- Replay de l'évènement
- Replay de l'évènement
- Répondre aux enjeux de la conformité de demain en s'appuyant sur la transformation technologique
- SAS Studio et l'Open Source pour la préparation de données
- SAS Studio remplace-t-il SAS Enterprise Guide ?
- SAS® Enterprise Guide® : 20 astuces en 20 minutes !
- Trucs et astuces fonctionnels pour la création de rapports dans SAS Visual Analytics
- Trucs et astuces SAS® Visual Analytics® - Optimiser la performance
- Un problème ? Une question ? Consultez nos ressources en ligne ou appelez le support technique ?
- Utilisation de SAS avec Microsoft 365 : Une approche de la programmation
- Webinaire en direct
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- Webinaire à la demande
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- Webinaire à la demande
- Webinar 1 of 2: Protecting digital payments in the world of increased scams and changing customer behaviors
- Webinar 2 of 2: Combating identity theft and application fraud as consumer demand changes
White Papers & E-books
- 5 stratégies pour moderniser les pratiques policières fondées sur des données probantes à l'aide de données et d'informations issues de l'intelligence artificielle
- 5 étapes pour une stratégie unifiée de prise de décision des clients de l'entreprise
- Achieving Optimal IFRS 9 Compliance
- Apports de la transformation du risque de crédit et rôle de l'IA
- Cloud, Data & IA au cœur de la transformation de la relation client - Étude Argus de l’Assurance & SAS
- Cloud, Data & IA au cœur de la transformation de la relation client - Étude Argus de l’Assurance & SAS (Partie 2)
- Des décisions au service de la transformation
- Des décisions auxquelles vous pouvez vous fier
- Décisions intelligentes au gouvernement
- Déjouer les risques avec le cloud
- Déployer un demand planning intelligent en 4 étapes
- IDC Insurance Executive Brief - Etre en phase avec les attentes de vos clients
- Expérience client à impact : un nouvel océan vert pour les marques
- IA, data et cloud au coeur de la transformation des assureurs
- L'assurance en 2040 : quatre scénarios possibles
- L'avenir de la banque intelligente: IA, risques et innovation
- L'intelligence Artificielle Agentique
- La voie de l'intégration
- Le plan directeur de l'IA : Un guide du dirigeant pour la confiance organisationnelle et le retour sur investissement en cas de changement rapide
- Le service public de demain
- Les perspectives d'ici 2040 : rapport d'enquête mondiale sur l'assurance
- Les services publics dans un monde d'incertitudes
- L’IA au service de la sécurité des moyens de paiements digitaux
- Moderniser la gestion actif-passif
- Optimiser le parcours client tout au long de la chaîne de valeur
- Optimiser les moments de vérité : Créer des interactions client pertinentes en temps réel
- Protect the Integrity of your Procurement Function
- Réinventer le parcours client avec l'Enterprise Decisioning
- Réussite programmée d'une CDP : guide pour choisir sa customer data platform
- Révolutionnez la banque avec l’IA Générative
- Transformer la gestion des risques
- Une approche complète de gouvernance pour une IA de confiance
- Votre futur avec l’IA générative : la voie du succès des assureurs
- Votre voyage vers un avenir GenAI : Une voie stratégique vers le succès pour le gouvernement