Conversational AI is evolved from executing simple commands to understanding human context and leaning from interactions. This evolution signifies the growing need and importance of personalized experiences.
Let me explain this with a real-time example.
“Hey Siri, what’s the weather today?.”
When we ask the above question on our mobiles, we will get the real-time weather forecast.
How?.
Behind the scenes, artificial intelligence processes the request, retrieves information through the user’s location, and responds.
This is what simulates human-like conversations between AI and human beings so-called conversational AI. This interaction feels natural and shows conversational AI's ability to understand human language and provide precise answers in real time.
The applications of Conversational AI are not limited to simple queries like the above alone. It can be used in customer service, business applications, healthcare, financial services, banking, sales and marketing, retail, HR and internal processes, social media, and many more. The key components of conversational AI includes speech recognition, speech synthesis, NLG (Natural Language Generation), NLU (Natural Language Understanding), and dialogue management.
Let’s discuss data management and governance as today’s organizations are data-driven. Nobody likes to play the waiting and repetitive game!. All business processes are being automated and customer queries are being answered proactively through conversational AI.
Here is how AI Lens, an innovative conversational AI integrated into a lean data governance tool powered by PiLog Group is elevating operational efficiency and driving innovation.
Let’s dive in!.
This conversational AI is embedded in the iDxP product suite of the lean data governance model. It is an application of Artificial Intelligence that simulates human-like conversations engaged in answering queries, guides the users as SMEs (Subject Matter Experts), identifies duplicates, provides insights on specific data points, showcases the analytics, highlights locations with price details, pivoting the data, provides timelines of each record/request, and transverses the processes as per the personalized configuration. All within the tool!.
The power of conversational AI lies in its ability to simplify communication and improve personalized experiences at scale. With integrated technologies such as machine learning, predictive analytics, and NLP (Natural Language Processing), conversational AI is transforming businesses of all verticals and redefining the way individuals interact with technology.
Here are the key features of the AI Lens of PiLog’s lean data governance tool. Read on!.
Trifecta AI Lens
PiLog’s AI Lens serves as a Conversational AI, Generative AI, and Augmented AI. Businesses can engage in natural language conversations within the application. They can ask queries related to their data and get responses immediately. Generative AI provides insights automatically. With augmented AI, get automatically generated insights and augment human decisions through augmented AI.
Scaled-Down LLM Model
We all know how enterprises are facing challenges in managing huge datasets. However, PiLog’s conversational AI’s large language model approach, which has been scaled down, is intended to match industry contexts and business goals while maintaining optimal performance and efficiency, all without sacrificing relevance and accuracy.
Trained Contextually
This conversational AI is trained to understand user intents, context, nuances, and industry-specific terminology as the NLP (Natural Language Processing) model is integrated within AI Lens. Businesses can enhance data relevance, and data accuracy, and ensure that generated insights align with their goals.
Configurable Features
Organizations can adjust and customize AI features to enhance user interactions align with their business processes or meet specific requirements. This provides flexibility and scalability, enabling businesses to modify AI to suit their unique requirements, boost user satisfaction, and improve the efficiency and effectiveness of interactions.
Knowledge Base
Conversational AI systems can store vast amounts of data such as databases, documents, and repositories. When users query the AI for the required information, they retrieve it from the databases and provide it to them. Besides, it responds to users with generative answers and serves as a repository with domain-specific expertise.
Real-time & Staged Integration with SAP, Oracle, or APIs
AI Lens allows seamless integration with APIs and ERP systems such as SAP and ORACLE. This can be in real-time and staged integration. This enables organizations to maintain data consistency, accessibility, and operational continuity across all business interconnected platforms.
Guides as SME
Conversational AI can store, process, and apply expert knowledge in all areas. It can retrieve data from documents, databases, and knowledge bases, and provides instant access to relevant information. Thus, it provides users with accurate answers and personalized guidance on time. Thus, it enhances UX, operational efficiency, and decision-making.
Simple & Extended Analytics
Conversational AI lets you explore data dynamically from all perspectives through statistical modelling. From simple analytics such as basic metrics and conversation trends to extended analytics such as advanced metrics, personalization metrics, performance optimization, and predictive analytics. Thus, it leads to actionable insights that propel business growth.
Qualitative validations
The algorithms used in AI Lens ensure the conversational AI system meets qualitative standards related to data integrity, governance, and ethical standards. Using built-in quality checks and validation algorithms, businesses can find and fix abnormalities, outliers, and discrepancies in their huge data sets. They can ensure the insights produced by AI Lens are trustworthy, pertinent, and in line with their company's objectives.
As AI Lens are integrated into lean data governance, organizations can reap benefits in terms of:
Though conversational AI holds immense promises, some challenges such as data privacy, accuracy in responses, etc. remain critical. Hope, future advancements will overcome these challenges and improve AI’s emotional intelligence, contextual understanding, multilingual capabilities, etc., transforming conversations even more human-like and seamless.
As organizations move through the digital era, embracing conversational AI like AI Lens not only improves operational efficiency but also drives competitiveness and innovation. Through AI-powered conversations, businesses can optimize internal processes and improve customer interactions. In addition, they can make informed decisions and grow their businesses.
Want to redefine the way you interact with technology and utilize its potential for your business growth?.
Reach us. We, PiLog Group, vouch for providing innovative and world-class data management and lean data governance solutions tailored to your unique needs. We leave no stone unturned in transforming your data into a revenue generator. Wait not to explore our tool if you wish to navigate through digital transformation.
Hesitate not to write to us.
