Author: uday@zeroik

Ai saas

AI Software as a Service (AI SaaS) encompasses companies that deliver AI solutions through a subscription model, providing access to advanced technologies like machine learning algorithms, natural language processing, and data analytics over the internet. This approach enables businesses to…

Composable data

This framework enables users to craft personalized analytics experiences by leveraging existing assets. Built on a microservices architecture, it comprises individual components that offer flexibility and modularity for creating bespoke data and analytics solutions. This approach is especially advantageous for…

No code artificial intelligence

No Code Artificial Intelligence (AI) encompasses platforms and tools that allow users to build and deploy AI models without any coding experience. These user-friendly interfaces feature drag-and-drop functionalities, pre-built templates, and automated processes, making AI accessible to non-technical users for…

Automated incident response

Automated incident response is a cybersecurity strategy that leverages advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) to streamline and expedite the handling of security incidents. By automating repetitive tasks, this approach enhances the efficiency and effectiveness of…

Ai interference

AI inference is the process of utilizing a trained AI model to make predictions or decisions based on new data. This step is crucial for deploying AI systems in real-world applications, as it enables models to apply learned patterns to…

Prompt tuning

Prompt engineering is a technique in natural language processing (NLP) aimed at improving the performance of language models by fine-tuning pre-trained models through the careful adjustment of prompts or input text. This method optimizes tasks such as text generation, translation,…

Ai governance framework

A responsible AI framework is a systematic approach aimed at ensuring the ethical development and deployment of AI technologies. This framework focuses on minimizing risks while maximizing benefits by emphasizing key aspects such as transparency, accountability, bias detection, safety, and…

RLHF

Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that utilizes human feedback to enhance the performance of models. In this approach, human evaluators assess the outputs generated by the model, providing valuable feedback that informs the learning…

Vector similarity search

This technique involves identifying vectors in a high-dimensional space that closely resemble a given query vector. It is widely employed in applications such as image retrieval, document search, and recommendation systems. The method utilizes similarity measures, including cosine similarity, Euclidean…

Ai 3d model

AI-generated 3D models involve the creation, manipulation, and enhancement of three-dimensional representations using artificial intelligence, drawing from inputs like text, images, and videos. These advanced models find applications across a wide range of fields, including entertainment, gaming, virtual and augmented…

Prompt Chaining

Sequential prompting is a technique utilized in natural language processing (NLP) and artificial intelligence (AI) to enhance the performance of language models. This method involves decomposing complex tasks into a series of simpler, sequential prompts that guide the model through…

Data lakehouse

This architectural approach combines the strengths of data lakes and data warehouses, creating a hybrid solution that leverages the data management capabilities and performance of data warehouses alongside the cost-effective storage and flexibility of data lakes. By providing a unified…

llm agent

An LLM agent, or Large Language Model agent, is an AI-driven entity engineered to autonomously execute tasks by harnessing the power of large language models (LLMs). These agents excel at understanding natural language, generating meaningful responses, and carrying out complex…

Embodied ai

Trend Embodied AI represents a pivotal advancement in the integration of machine learning, computer vision, robotic learning, and natural language processing, specifically within the enterprise landscape. This concept transcends traditional software applications, as it involves the incorporation of artificial intelligence…

AI-Driven Marketing Analytics for a Mid-Sized Marketing Company

Executive SummaryThis business case outlines the significant benefits of integrating artificial intelligence (AI) and advanced data analytics into a marketing analytics platform. By leveraging these technologies, the organization can enhance campaign decision-making, improve marketing effectiveness, and optimize revenue growth, ultimately…