Applications of Generative AI in the enterprise - case studies
Generative AI is one of the most exciting and rapidly advancing fields in technology today. In 2022 and 2023, we saw massive leaps forward with models like GPT-3 for natural language processing, DALL-E for image generation, and AlphaFold for protein folding. The capabilities of these large language.
Data driven decision making: Using Causal Inference for E-commerce growth
In the growing landscape of e-commerce, making decisions based on correlation alone is insufficient and potentially misleading. Causal inference provides a more sound methodology that identifies the true factors influencing customer behavior and business performance. Leveraging causal inference.
Key opportunities to use the generative AI in the enterprise
Generative AI is a subset of artificial intelligence that focuses on creating new content. In the enterprise, there are several key opportunities to leverage this technology and take businesses to new heights.
Decoding Adversarial Attacks: Types and Techniques in the Age of Generative AI
With the threat of adversarial attacks, Generative AI has dramatically increased the abilities of cyber adversaries. Risk prediction, automatic response, and preemptive vulnerability patching are three ways AI promises to transform defences as the cybersecurity market soars above $266.2 billion by.
Demystifying Prompt Engineering for ChatGPT
ChatGPT was introduced in November 2022, sparking a revolution of generative AI adoption. Before its publication, only academia-related people, researchers, and experts in the field knew about GenAI and the myriad possibilities it brings. By August 2023, McKinsey reported that one-third of the.
Challenges for AI in e-commerce
As technology continues to advance, AI has become an integral part of the e-commerce industry. However, there are several challenges that AI faces in this domain. One of the major challenges is ensuring personalized and accurate product recommendations for customers. Additionally, AI must also.
Simple guide to AI in eCommerce
The ecommerce industry has experienced significant changes in recent years, thanks to the advanced applications of artificial intelligence (AI). Leading retailers such as Amazon, Walmart, and Chewy have effectively utilized AI to enhance personalization, streamline operations and inventory.
Generative AI and Cybersecurity: Understanding the Landscape
The main difference between data science and business analytics is their focus and application. Data science involves the extraction, analysis, and interpretation of large datasets to gain insights and make data-driven decisions.
Data Science vs Business Analytics
The main difference between data science and business analytics is their focus and application. Data science involves the extraction, analysis, and interpretation of large datasets to gain insights and make data-driven decisions.
Enhancing the generative AI answers with ML-based tagging and text shortening
Emerging retrieval-augmented generation (RAG)-powered enterprise conversational QA applications leverage massive internal knowledge bases and conversational data to improve customer service, increase employee productivity, and help make better decisions.
