Who is Felipe Izquierdo Chadwick?
Felipe has established himself as a leader in the aviation sector through his extensive experience and strategic insights at Sky Airlines. His pivotal role has centered on integrating generative artificial intelligence, enhancing operational efficiency, and continuously improving the tools essential for the airline’s success.Will we talk about Generative AI in the airline industry?
In this exclusive interview, Felipe delves into the challenges and opportunities facing the airline industry today. Listeners will learn first-hand how Sky Airlines is mastering the complexities of modern air travel through digital transformation and Generative AI.A key focus is the successful implementation of Generative AI, where Felipe highlights the intricacies involved:
What we have realized... is that the training of the tool is complex and requires time, it requires dedication and someone to guide it, and when it acquires maturity and a certain amount of work, it begins to deliver responses that are coherent and that begin to generate value.
Tune in and discover the power of Gen AI in airlines
This episode is a must-listen for technoogy enthusiasts, industry professionals, and anyone curious about how to work with AI. Felipe’s perspectives provide not just a glimpse into Sky Airlines, but also reflect broader industry trends and challenges. Whether you’re a frequent flyer with Sky or just a fan of technology, this episode has something for everyone.How to Listen?
Catch this fascinating conversation on Spotify, clicking here or if you wish to watch the video, you can find it on our YouTube channel NTT DATA LATAM. Don’t miss out on this opportunity to hear from one of the leading voices in the airline industry. Felipe's strategic vision and deep understanding of aviation dynamics make his participation in the podcast not just informative but essential for anyone interested. Tune in now and join us as we explore the skies with Felipe and Sky Airlines. Your journey into the heart of aviation awaits! This article might be of interest to you Click hereWe’re excited to announce our new Multilingual Agent feature<...
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How Generative AI Works
Generative AI is a game-changer, enhancing Syntphony's capabilities by identifying intent, classifying content, generating responses, and delivering accurate, contextualized answers. This innovative module simplifies message chaining, linking responses from previous interactions to provide more accurate and empathetic replies.Other Features with Generative AI
The Gen AI cell is designed to enrich your conversational flows on the Syntphony platform, ensuring interactions are consistent, fluid, and highly personalized. Here are some of its standout features:Advanced Parameters
Customizing the behavior of the language model has never been easier. With advanced parameters, you can set the size of the generated content, control the level of creativity by combining parameters, and manage vocabulary variation and repetitions. This allows for precise control over the generated output, tailoring it to specific needs and contexts.Prompts
Prompts are invaluable for automating language-based tasks. They can generate content that matches desired tones, emotions, contexts, and user preferences, significantly contributing to the virtual agent's personality. Additionally, prompts support tasks such as code creation, content summarization, information classification, and masking sensitive information, enhancing the versatility of your conversational AI.Example Generator
One of the most exciting features is the Example Generator, which accelerates the knowledge base creation process. By automatically generating a list of context-related utterance examples for each intent, it empowers writers to quickly produce multiple sentences using the provided context. This streamlines the training process, making it faster and more efficient than ever before.See More Benefits of Gen AI
- Understanding and Accurately Responding to User Needs: Gen AI excels at interpreting user intentions and providing precise responses, ensuring a smooth and effective communication experience.
- Providing Solutions to Complex User Problems: The advanced capabilities of Gen AI allow it to address and solve intricate user issues, enhancing the overall functionality of the conversational platform.
- Deliver Personalized and Satisfying User Experiences: By tailoring interactions to individual user preferences and contexts, Gen AI creates a highly personalized and engaging experience.
- Handle Multiple Languages and Dialects: Gen AI's robust language processing capabilities enable it to manage and understand a wide range of languages and dialects, making it a versatile tool for global applications.
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“Lore”, the featured case
The case study that has caught the attention of HFS Research is our collaboration with L'Oréal, which highlights "eva”, our AI Conversational platform that has effectively combined with Gen AI to transform L'Oréal's customer experience. This collaboration has enabled L'Oréal to reimagine the way it interacts with its customers, providing more efficient and hyper-personalized solutions through its virtual assistant “Lore”. HFS notes that through eva, NTT DATA has demonstrated its ability to optimize the interaction between the brand and its customers, taking the customer experience to a new level. HFS points out that the partnership between NTT DATA and L'Oréal is a telling example of how artificial intelligence and conversational solutions are redefining the customer experience in the digital age. In the case of L'Oréal, eva and Gen AI have enabled greater personalization in customer interactions, resulting in a significant increase in customer satisfaction and retention. These results have caught HFS Research's attention, highlighting NTT DATA’s ability to adapt to changing market demands and deliver cutting-edge solutions.NTT DATA as a Customer Experience Innovator
HFS has also praised NTT DATA's commitment to constant innovation in the field of customer experience. HFS highlights our ability to combine advanced technologies, such as artificial intelligence and machine learning, with a deep understanding of our clients' businesses. This has contributed to NTT DATA's position as a leader in the field of customer experience. The recognition from HFS Research is a testament to our dedication to improving the customer experience through technological innovation and collaboration with leading companies in the business. As companies constantly look for ways to differentiate themselves in a highly competitive marketplace, the ability to transform the customer experience becomes a crucial factor for long-term success. In addition, the recognition awarded by HFS Research to NTT DATA reflects how NTT DATA is at the forefront of implementing artificial intelligence and conversational solutions to re-imagine the customer experience. This highlights our position as an industry leader and a benchmark in transforming customer experience in the digital age.We’re excited to announce our new Multilingual Agent feature<...
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- Personalized Recommendations: AI algorithms can analyze large amounts of data about travelers' individual preferences, past travel history, interactions on social networks, and reviews from other travelers to provide personalized recommendations for destinations, activities, accommodations, and restaurants.
- Route and Itinerary Optimization: It can analyze multiple variables, such as travel time, distance, traffic, public transportation schedules, and tourist attractions, to create optimized itineraries that maximize travel time and efficiency.
- Crisis Management and Travel Changes: During crisis situations, such as flight cancellations or medical emergencies, AI can help travelers manage these events more efficiently by providing updated information, options, and assistance in reorganizing travel plans.
- Virtual Assistants and Chatbots: AI-powered virtual assistants and chatbots can provide instant support to travelers throughout the planning and travel process. They can answer common questions, provide recommendations, assist with ticket booking, and provide real-time assistance while travelers are on route.
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Gen Ai empowers and enhances customer experience
One of the main benefits for retail companies is the significant improvement in customer experience. Through Gen Ai-powered chatbots and virtual assistants, companies can offer 24/7 customer service, instantly address common queries, and personalize the user experience based on their preferences and past behaviors.Increases operational efficiency
Another key benefit is its ability to increase the operational efficiency of retail companies. By automating tasks such as customer service, inventory management and reporting, Gen Ai enables companies to reduce costs, minimize human error and optimize their internal processes.Facilitates Marketing Personalization
Personalized marketing is crucial in the retail sector, and this technological innovation can help companies achieve this goal effectively. By analyzing customer data in real time, the tool can also deliver highly relevant and personalized product recommendations, as well as send personalized marketing messages across different channels.Optimize inventory management thanks to Gen Ai
Inventory management is another critical aspect for retail companies, and Gen Ai can help optimize this process. By analyzing sales data and market trends, it can also predict future demand and help companies manage their inventories more efficiently, avoiding both shortages and overstocks.Drives Sales and Customer Loyalty
Overall, conversational AI with Gen Ai can help drive sales and customer loyalty for retail companies. By offering faster and more personalized customer service, as well as more relevant product recommendations, increase customer satisfaction and foster long-term brand loyalty. In short, digital transformation offers a number of significant benefits for retail companies looking to improve customer service, increase sales and optimize operations. By leveraging this innovative technology, companies can position themselves competitively in today's marketplace and deliver exceptional shopping experiences to their customers. Get to know our interesting case study with L'Oréal here.We’re excited to announce our new Multilingual Agent feature<...
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Some ways in which AI can offer benefits in this context are:
Automated written content generation
Automated Writing: Advanced language models, such as GPT-3, can generate text in a coherent and contextual way. This enables the fast creation of product descriptions, articles, advertising messages and other types of written content without extensive human intervention. Content Optimization for SEO: AI tools can analyze search patterns and optimize content for search engines, increasing online visibility.Visual Content Creation
Image and Graphics Generation: Image generation algorithms can produce graphics, illustrations and other visual elements that you can incorporate in your written content. This is useful for enriching the visual presentation of marketing campaigns. Image Personalization: AI can visually adapt content for different audiences or segments, improving campaign relevance and effectiveness.Repetitive Tasks Automation
Post Scheduling: AI powered content management systems can automatically schedule content publishing across different platforms, optimizing timing and distribution to maximize impact. Data Analytics: AI powered data analytics tools can evaluate past campaign performance and provide recommendations to improve future strategies.Personalization and Segmentation:
Personalized Recommendations: AI can analyze user data to provide targeted product or content recommendations, improving user experience and increasing conversion rates. Audience Segmentation: Algorithms can identify patterns in large data sets, enabling more effective audience segmentation and targeted content creation.Time and Resource Savings
Production Efficiency: Automation frees human resources from repetitive tasks and focuses them on more strategic and creative activities. Faster Trend Response: AI can quickly analyze real time data and adapt content accordingly, enabling fast responses to market changes or emerging trends. In short, implementing artificial intelligence in content creation for marketing campaigns not only speeds up the process, but also improves quality, personalization and efficiency, providing significant benefits for companies looking to stand out in a competitive digital environment. You might also be interested in: https://eva.bot/why-do-enterprises-need-a-virtual-assistant/We’re excited to announce our new Multilingual Agent feature<...
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Here are 7 fundamental tips to achieve it
1. Understand the needs of the business
Before you begin developing a virtual assistant, it is crucial to understand the needs and goals of the business for which it is being created. What problems does the business want to solve? What processes or tasks can be automated to increase efficiency? This understanding will guide the design and functionality of the assistant.2. Design a seamless user experience
User experience is paramount in the adoption and effectiveness of a virtual assistant. Design an intuitive, easy-to-use interface with natural language that reflects the company's brand. The assistant must be able to understand user queries clearly and provide relevant and useful answers.3. Implements advanced natural language processing (NLP) capabilities:
NLP is the key technology that enables virtual assistants to understand and respond to user queries effectively. It uses advanced NLP models to enhance the assistant's ability to understand context, interpret user intentions and provide accurate responses. Learn about our multi NLP platform4. Integrate relevant data sources:
To provide accurate and useful answers, the virtual assistant must have access to relevant data sources, such as company knowledge bases, internal databases, external APIs, among others. Integrate these data sources in an intelligent way to ensure that the assistant can provide up-to-date and accurate information.5. Constantly train the assistant:
Continuous learning is essential to improving virtual assistant performance. It uses machine learning techniques to collect user interaction data and feedback, and uses this data to improve the NLP models and the assistant's response capabilities over time.6. It offers multiplatform support:
Users can interact with the virtual assistant through a variety of channels, such as mobile apps, websites, messaging platforms, among others. Make sure the assistant is compatible with multiple platforms and communication channels to maximize its accessibility and usefulness.7. Prioritize security and privacy:
Security and privacy of user data are critical aspects in the design of any virtual assistant. Implement strong security measures, such as data encryption, user authentication and compliance with privacy regulations, to protect sensitive information and build trust among users. Our business platform is characterized by its security system for companies and users. Meet big brands that trust us, such as L'Oréal. By following these tips and taking a business and user needs-centric approach, you can create powerful virtual assistants that drive operational efficiency and improve the customer experience for businesses.We’re excited to announce our new Multilingual Agent feature<...
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learn 5 powerful insights on how Gen AI empowers telco industry players
1. Enhancing Customer Engagement
Customer engagement is a critical aspect of the telecom industry. Generative AI and Conversational AI have revolutionized customer interactions by creating more personalized and efficient communication channels. Chatbots and virtual assistants powered by these technologies can handle customer inquiries, resolve issues, and provide real-time support 24/7. This not only improves customer satisfaction but also reduces operational costs by automating routine tasks. Companies such as Telefónica, VIVO, OpenFiber and TIM have already implemented successfully NTT DATA’s solution eva, the Conversational AI Platform to create virtual assistants and to be part of this evolution.2. Predictive Customer Analytics
Generative AI can analyze large volumes of customer data to identify patterns and trends, helping telecom providers understand customer behavior and preferences. This information is crucial to adapt marketing campaigns and services to meet individual customer needs. Telecom companies can significantly reduce customer decrease rates by predicting customer loss and proactively addressing issues, through Generative AI Technology.3. Personalized Content Recommendations
Conversational AI algorithms can analyze customer behavior and preferences to offer personalized content recommendations. Telecom companies can utilize this capability to provide personalized advertisements, content, and services to customers, increasing engagement and revenue opportunities.4. Data Security and Fraud Detection
Security is a top concern for telecom providers. Generative AI can help safeguard customer data by detecting anomalies and potential security vulnerabilities. By analyzing network traffic and user behavior, AI can identify unusual patterns that may indicate fraudulent activity or cyberattacks, allowing companies to take preventive measures.5. Automation of Back-End Operations
Generative AI and Conversational AI can automate various back-end operations, such as order processing, billing, and inventory management. This automation not only reduces the risk of errors but also increases operational efficiency and lowers costs. Generative AI and Conversational AI are certainly powerful tools for the telecom industry. As this sector continues to evolve, adopting these technologies will be essential for providers who aspire to deliver exceptional service and stay competitive in the dynamic realm of telecommunications. By utilizing the potential of AI, telecom companies can guide in the direction of a future marked by increased efficiency, customer-centricity, and prosperity. According to Precedence Research “The global generative AI in telecom market size was estimated at USD 150.81 million in 2022 and it is expected to hit around USD 4,883.78 million by 2032, growing at a CAGR (Compound Annual Growth Rate) of 41.59% during the forecast period from 2023 to 2032.” The rapid growth highlights the growing importance and extensive integration of generative AI within the telecommunications sector, and how companies must get on board immediately if they haven't done it yet.We’re excited to announce our new Multilingual Agent feature<...