Discover the Power of Gen AI on the Conversational AI Platform, Syntphony
Jenny Machado April 16, 2024
In the ever-evolving landscape of technology, conversational AI stands out as a groundbreaking innovation, and at the heart of this transformation is Gen AI. This sophisticated module, powered by OpenAI's ChatGPT, seamlessly integrates generative AI services to elevate the Syntphony Conversational AI platform, offering a plethora of advanced features that revolutionize user interactions.

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 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.
The integration of Gen AI into the Syntphony Conversational AI platform marks a significant leap forward in the realm of digital communication. By harnessing the power of generative AI, Syntphony delivers a more intelligent, responsive, and empathetic user experience, setting a new standard for conversational AI technologies. Explore the potential of Gen AI and transform your user interactions today! We share with you a more detailed guide to this powerful functionality Discover new features of Syntphony Conversational AI here
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NTT DATA Receives Recognition from HFS Research for Innovative Approach to Customer Experience
Jenny Machado March 14, 2024
NTT DATA, a global leader in information technology services, has been recognized by HFS for our work with L'Oréal in the creation of their virtual assistant. HFS Research, a leading research and consulting firm, has recognized NTT DATA in its “Highlight Report” for innovative efforts to improve the customer experience. This distinction builds on our ongoing commitment to reinventing the customer experience through artificial intelligence and conversational solutions.

“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.
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Automated content generation through AI
Jenny Machado February 8, 2024
Artificial intelligence (AI) can play a crucial role in creating high quality written and visual content in an automated way, significantly speeding up the production of material for your company's marketing campaigns and allowing you to streamline the process to put your attention on other items. While some experts recommend using AI as a base for building content, it is an excellent tool when it comes to being creative, since, as Victoria Boano, "Customer Success and Community Manager" at Remotive says, "After three years of managing our community, it's sometimes difficult to think of new ideas." 

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: 
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7 Key Tips for Developing Powerful and Effective Virtual Assistants for Business
Jenny Machado January 23, 2024
Creating powerful virtual assistants for businesses requires a deep understanding of conversational artificial intelligence and the specific needs of each organization.

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 platform

4. 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.
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eva elevates the customer experience by using Generative AI for smarter, faster and more efficient virtual agents.
Jenny Machado December 27, 2023

Every day the challenge of going beyond technology motivates the eva team to move forward, in order to realize new ideas and new capabilities that ensure a better use and greater benefit for customers. That's why eva is bringing extraordinary enhancements to elevate the customer experience with Generative AI

We present the new Eva feature pack, which will enhance the experience by creating more efficient and faster Generative AI virtual agents.

Knowledge AI: Streamline Virtual Agent Building with documents

To improve the platform, eva comes with a knowledge evolution, where you can generate responses based on document content as a PDF.

With Knowledge AI, improve your time by not requiring the configuration of flows, intents, or entities, reducing the time needed for the training of virtual agents.

When entering a user interaction, it first searches for intents, if it is not found, it searches in the questions previously configured in the knowledge AI and, if no match is found, the answer is searched directly in the documents uploaded to Knowledge AI.

With this functionality, you can effortlessly access and use the Knowledge within PDF documents, resulting in quicker and more accurate responses.

Zero-Shot: Enhanced Intent Classification with LLM

Our upgraded Zero-Shot capability leverages state-of-the-art Language Model (LLM) technology to classify intents with exceptional precision, just from the name and an intent description to classify the intent, without the need to create utterances.

By utilizing this advanced machine learning technique, we have significantly improved the accuracy and speed of intent classification, ensuring that the right knowledge is delivered at the right time, every time. 

Rephrasing: Improve Communication with Contextualized Answers

Communication is key, and our enhanced LLM-powered Rephrasing feature understands that. Now, virtual agents dynamically rephrase responses based on conversation context, ensuring a more human-like interaction tailored to your needs. Control creativity levels, context utilization, and even restrict specific words to achieve the perfect response.

Answer Assist: Tailoring Answers to Perfection

Answer Assist provides the flexibility to craft the best answer. This feature empowers you to create the virtual agent answers effortlessly and with creativity. Write a simple instruction as a prompt, add a voice tone and the content will be generated using LLM.

Furthermore, to assist in crafting your answers, we have introduced new features: with a single click you can shorten an answer, expand it, improve the writing, fix spelling and grammar, or even add a specific tone.

Cockpit Notifications: Stay Ahead with Real-Time Updates

Stay informed and engaged with our new Cockpit Notifications feature. Receive timely updates on new features, upcoming events, and exclusive eva opportunities. Stay connected, stay ahead, and stay in the know with real-time enhancements.

These features are meticulously designed to streamline your workflow, boost productivity, and deliver an unparalleled user experience. We're committed to continually improving our platform to meet your evolving needs.

For more information on these groundbreaking features and how they can transform your organization, explore our documentation

Thinking about how eva works in real life with a client? Learn more about L’Oréal case study here

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Meeting Modern User Demands: The AI Revolution in User Experience
Jenny Machado November 16, 2023
In the current era of digital sophistication, users demand more from their interactions with businesses. It's not just about information exchange anymore; it's about an experience. This article delves into how AI, particularly conversational AI like eva, is reshaping user experiences to meet these evolving demands, focusing on interactive and personalized engagement across various industries.

Understanding today's user: a demand for interaction and personalization

Modern users seek experiences that are not only informative but also engaging and customized. They expect interactions that feel natural, intuitive, and tailored to their specific needs and preferences. Businesses must adapt to these expectations by leveraging technologies that can provide these experiences. AI, with its advanced data processing and learning capabilities, is perfectly positioned to deliver on these expectations.

The role of AI in crafting customized experiences

AI's ability to analyze vast amounts of data allows for a level of personalization previously unattainable. This technology can tailor experiences, recommendations, and interactions based on individual user profiles, ensuring that each engagement is relevant and meaningful.

eva's enhanced capabilities: a case study in AI excellence

Through conversational agents, AI transforms user interaction from a mere exchange of information to a dynamic dialogue. Virtual agents powered by AI can converse with users in natural language, making interactions more intuitive and less robotic. eva’s latest feature pack enhances this by speeding up the creation time of virtual agents and improving the understanding of audio in text conversations, making interactions more fluid and natural​​.
  1. Interactive and Personalized Webchat: eva’s webchat plugin exemplifies how AI can be used to create more engaging user experiences. This tool allows businesses to customize their web chat interface, aligning with both brand identity and user preferences for a more personalized interaction.
  2. Innovative Data Analysis and User Insights: eva's funnel charts and data tagging feature showcase the power of AI in understanding user behavior. These tools help businesses gain valuable insights into user interactions, enabling them to optimize the user experience continuously.
eva's evolution with its new feature pack is a testament to the ongoing advancements in AI for creating immersive user experiences. By harnessing these AI capabilities, businesses can create experiences that are not just transactions but engaging journeys that resonate with users. The future of user experience lies in leveraging AI to understand, interact, and personalize at an unprecedented level. Contact us and find out more about how eva can help improve the experience for your customers.
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Ever evolving transformation: putting into perspective eva’s new tools with GenAi
Jenny Machado November 2, 2023
Due to the constant evolution that the world of artificial intelligence (AI) is experiencing and because of NTT DATA's commitment to being at the forefront of it, the latest version of eva includes new tools that adapt to the needs of companies with GenAI We introduced the GenAI Cell, an innovative module that integrates Generative AI services, enhancing eva’s capabilities to identify intents, classify content, generate responses, and provide accurate, context-aware answers. User behavior analysis tools have also been introduced, such as a webchat plugin, funnel charts, and filters by tag, which will help to have a detailed analysis of user behavior across all flows.  During the release, we interviewed Angela Rodríguez, the Product Manager of eva, to discuss the significance of the new features in eva: 

Why is it relevant for eva to adapt to the GenAI trends?

With the disruption of Generative AI, it is impossible for a product that works with AI not to use these technologies, because it is at a very big disadvantage compared to its competitors. At eva we have been working with Generative AI for 2 years, when we launched “Automated Learning”, a functionality that allowed us to generate answers from Large Language Models. This continuous adoption of LLM that we have applied within eva has allowed us to evolve our product with capabilities that allow us to put virtual agents into production in a shorter time, improve the assertiveness of the responses that are delivered to users, allow for a better analysis of the performance of virtual agents, among other benefits. 

Considering the current state of the market, what is the contribution of incorporating user behavior analysis tools in eva?

The tag funnel is a powerful tool that allows to make better business decisions and helps to detect improvement points in the virtual agent performance. With this functionality we want projects to understand the behavior that users are following in the virtual agent flows. 

What is the criterion for making decisions about which features to include or exclude in each eva release?

Our roadmap is primarily driven by the needs and pain points we discover from our end users and customers, which are converted into outcomes. However, other factors such as market and competitor analysis also play a role. 

what do you think are eva's next challenges as a product, empowered with GenAI?

As a product, our main challenge is to create better conversational experiences through automation, this includes the use of technologies such as Generative AI, robust analytics and monitoring to make continuous improvements within those conversational experiences, and the continuous development of low-code functionality to ensure a user-friendly platform.  As pointed out by our Product Manager, not incorporating AI technologies into a platform like eva would mean a disadvantage against the existing products in the market. In this regard, as NTT DATA we have taken an approach of integrating and embracing these new technologies to help the development of virtual assistants. By taking this approach, we are not only creating more accurate virtual assistants, but also by considering the user’s behavior and incorporating the necessary tools to measure it, there can be a better comprehension of the behavior that users are following inside the virtual agents, as stated by Angela.  The latest release of eva reflects our unwavering commitment to the cutting edge of AI, evidenced by the addition of innovative tools designed to adapt to growing business demands in the field of AI. The introduction of the GenAI Cell module, powered by Generative AI, significantly expands eva's capabilities, enabling it to generate better responses and provide more accurate, contextually aware solutions.  At NTT DATA we are not only demonstrating effective adaptation to new trends, but also a proactive approach by integrating AI technologies to drive the development of more accurate virtual assistants.  We invite you to see how NTT DATA is embracing and adapting to these technologies with our potent conversational AI platform “eva”. 
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AI and Social Commerce, taking Customer Care to the next level
Jenny Machado October 25, 2023
To say that we live in a hyper-connected society is an understatement, to talk about social commerce is the new thing because there are social networks available that accompany us in almost every stage of our lives; where we can share images, videos, our opinions, and anything we can imagine. This is why, at some point in the cycle, the need arose to take an activity as social as shopping to these platforms. 

The evolution of cCommerce

In this context, the term Social Commerce appears on our radar. It is important to differentiate it from cCommerce, since it is an evolution of the latter. While cCommerce occurs only on the company's website, Social Commerce refers to a complete sales cycle that takes place through social networks. This cycle includes everything from marketing, promotion of products or services, to post-sales follow-up. It also includes activities that attract potential customers. This is a great opportunity for companies, considering that most of the world's population has at least one profile on social networks (Facebook, Instagram, Twitter, etc.) generating awareness with users and creating a more personalized customer service experience. 

The impact in numbers in social commerce

According to the study "Digital Marketing in Latin America" carried out by NTT DATA in collaboration with MIT Technology Review, the importance of social networks is highlighted, which takes a preponderant role when defining marketing strategies. According to the study, 94% of the companies surveyed prefer social networks to generate their digital marketing campaigns. Also, because of the pandemic, social networks have become an effective means of communication to maintain socialization and to improve the buying and selling processes. 

The Role of AI in Improving Customer Care

It is in this sense that nowadays it’s not possible to talk about social commerce without including Artificial Intelligence (AI), which can offer more efficient and personalized solutions. First, AI is capable of processing large volumes of data quickly and accurately. This enables the analysis of customer preferences and the identification of behavioral patterns, which in turn facilitates the personalization of interactions. AI-powered virtual assistants are a prime example of this application, providing quick and relevant responses to customer queries.  In addition, AI also improves efficiency in handling queries. Intelligent routing systems can direct customer requests to the right agent, reducing wait times and optimizing resource allocation. 

The L’Oréal Case: combining different IA types

In this context and leveraging the power of NTT DATA's conversational AI platform and the power of chatGPT AI, L'Oréal, the world's leading cosmetics brand commanded us to develop “Lore”, a virtual assistant that provides advice and beauty recommendations, and helps users in their shopping process in a hyper-personalized way.  A pioneering idea in Chile, the combination of capabilities of eva, our conversational artificial intelligence platform, along with the power of ChatGPT, the generative AI of Microsoft Azure OpenAI; helped to create “Lore”, a virtual assistant capable of offering hyper-personalized beauty or makeup advice and recommendations, which also helps customers in their purchasing processes, revolutionizing L'Oréal's social commerce strategy.  Taking advantage of the capabilities of AI, L'Oréal decided to take interactions with its consumers to a new level. At its core, “Lore” makes suggestions to customers based on their needs, recommends products that fit those requirements, and directs them to the brand's online store or even allows them to shop in the same application where the interaction takes place.  Undoubtedly, social commerce and AI are amazing allies when taking the chatbot experience to the next level, where both elements enhance each other, creating benefits for both the users and the companies that decide to take the challenge.   As NTT DATA, we invite you to be a part of the future that’s already developing. 
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