Ten Things to Know About Your AI Solutions
The quality of an AI solution is frequently thought of in terms of its predictive performance. If we can get good, generalizable, results on validation and test datasets, then we have satisfied the requirements for deploying an AI system, right? Not necessarily. Recently, the bar for AI solutions.
A deep dive into LLMs practice - Convergence 2024
The Convergence 2024 conference explores practical applications of LLMs and similar technologies in everyday business operations and supporting business models. This year's lineup includes speakers and experts from top tech companies like Google, Microsoft, X/Twitter, and PayPal. The event aims to.
A Critical Role of AI in Cybersecurity
Cybersecurity is critical for businesses in every sector in today's linked world. In a world where cyber dangers are always changing, it acts as a barrier to keep your company activities safe. Secure your reputation and keep your clients' confidence by putting strong cybersecurity measures in.
How AI is making humans more (not less) valuable
At times it may seem that AI and robots are poised to make us humans obsolete. But the opposite is happening: every advance in technology makes humans more relevant. To be precise, the value is in our data and the content we produce. We have always been offered small rewards to share our data. In.
Fraud Detection using AI: A Shield in a Constantly Shifting Technological Landscape
Fraud has been a persistent threat to commerce and businesses, significantly undermining their financial health and adversely affecting their bottomline. In today’s fast paced world of technology and digital supremacy, the landscape of fraud is more dynamic than ever.
Defending Against Adversarial Attacks in the Era of Generative AI
With 30% of AI-related mishaps in 2022 attributable to adversarial assaults, cybersecurity has become an important issue especially in the field of Artificial Intelligence. The continuous struggle to protect systems against malicious attacks is a huge hurdle for the field of machine learning and AI.
Solving the Filter Bubble Problem using Machine Learning
The world of the internet is changing constantly. There was a time when one could do anything on the internet anonymously, but today, all our actions are being analyzed and utilized. Every day, we browse various websites to search for information and get results based on our search queries. Little.
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.
