From Search to Sales, 3 Innovative Ways to Apply RAG in Retail
RAG (Retrieval-Augmented Generation) relies on deep learning algorithms that are trained on massive amounts of retail data to gain useful insights. This allows RAG to understand retail concepts, analyze data patterns, interpret natural language, and mimic human-like cognition within a retail context. For instance, it can categorize products, understand customer intents, provide recommendations, and respond […]
Quantifying the Value of RAG Chatbots in Your Business, Real Metrics that Prove ROI
Chatbots have become an increasingly popular technology for businesses looking to automate conversations and interactions with customers. Powered by artificial intelligence, chatbots can understand natural language, respond to inquiries, and complete tasks automatically that previously required human agents. According to IBM, over 85% of interactions will be handled without a human agent by 2020. With […]
Conversational Search is a Game Changer, How RAG Systems Transform Enterprise Data Access
Knowledge graphs represent an exciting evolution in data management that can transform how users retrieve information in the enterprise. Rather than relying solely on keywords and metadata, knowledge graphs rely on semantic relationships to connect relevant data points. This allows for more intuitive search experiences where users can query information conversationally. Rather than simply returning […]
The Ultimate Enterprise AI Resource Hub: Curated Expert Content & Insights
Discover curated, updated, insights and content from the world’s leading technology authorities to master AI Strategy in your organization. This Ultimate Enterprise AI Resource Hub is a compilation of expert content, including articles, whitepapers, videos, and webinars, designed to help you master AI strategy in your organization. We’ve curated insights from trusted sources to ensure […]
RAG Retrieval 101: How to Pick the Right Embeddings for Your AI App
What are embeddings and embedding models? Embeddings are vector representations of data such as text, images, audio, video, etc. The arrays of numbers in an embedding capture the semantics and important features of the data in a way that maps similar entities close together in vector space while dissimilar entities are farther apart. Embedding […]
The Groundswell Effect: How Employees Are Driving Tech Adoption From the Bottom Up
Grassroots or bottom-up adoption refers to technology trends that originate from employees in an organization rather than being mandated from upper management or IT departments. With grassroots adoption, usage and implementation of new tools and software spreads employee-to-employee, often informally, as individuals recognize the potential benefits of an emerging technology. Rather than following a formal, […]
Custom AI Solutions and Models for the Legal Real Estate Sector
The integration of artificial intelligence in the legal real estate sector is a compelling narrative of modernization and efficiency. The dialogue between Theodor Dimache from mindit.io and George Holler of Holler Law Firm underscores this evolution. Their expertise offers a unique perspective on the transformative impact of AI in this niche sector. The Transformation of […]
Successful AI Rollout in Enterprise Environments
Why do we need AI? Simply put, because AI systems excel at tackling challenges that are too large, complex or fast-moving for humans to manage alone. When data volumes or decision speed exceed human capabilities, AI offers solutions. Whether it’s processing reams of unstructured data to detect financial fraud, or making split-second trading decisions based […]
When and How to Implement AI: A Framework for Evaluating Business Scenarios
AI is rapidly transforming how businesses operate and deliver value to customers. However, simply adopting AI technologies is not enough. Organizations must have a strategic framework for determining when and where to implement AI based on key criteria. This ensures that AI is used in an impactful, ethical and cost-effective manner. In this article […]
Choosing Between Classical Machine Learning and Custom AI Solutions
In today’s day and age, AI has cemented itself in our work life, reshaping business’s way of working and influences the future of the entrepreneurial environment. As organizations increasingly embrace AI, an unavoidable decision emerges: should they opt for classical machine learning (ML) solutions or invest in custom AI development? We intend to shine a […]