This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
At its core, the Iris AI engine operates as a sophisticated neural network that continuously monitors and analyzes social signals across multiple platforms, transforming raw social data into actionableintelligence for brand protection and marketing optimization.
Leveraging GenerativeAI, LLMs, and Google Search Wrappers for competitor analysis empowers the procurement team with real-time, data-driven insights. GenerativeAI and LLMs can process vast amounts of unstructured data, such as market reports, news articles, and supplier reviews, to generate detailed competitor profiles.
Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionableintelligence in a conversational, user-friendly format. It became apparent that a cost-effective solution for our generativeAI needs was required. Enter Amazon Bedrock Knowledge Bases.
Large Language Models (LLMs) : LLMs take the transcribed text and apply advanced AI algorithms to generate insights, automate responses, or even craft summaries. They are the building blocks for creating sophisticated GenerativeAItools that interpret and respond to human language.
Generating Business Insights on Enterprise Data: Turning Data into ActionableIntelligence Enterprise data is a goldmine of insights but extracting meaningful information from vast amounts of structured and unstructured data can be challenging.
Generating Business Insights on Enterprise Data: Turning Data into ActionableIntelligence Enterprise data is a goldmine of insights but extracting meaningful information from vast amounts of structured and unstructured data can be challenging.
Designed to optimize how businesses access and utilize their proprietary data in AI applications, Vectorize is poised to revolutionize AI-powered data retrieval and transform industries that rely on large language models (LLMs). From customer service to sales automation, these AI models enhance productivity and enable new capabilities.
DSX provides unmatched prevention and explainability by using a powerful combination of deep learning-based DSX Brain and generativeAI DSX Companion to protect systems from known and unknown malware and ransomware in real-time. DIANNAs unique approach to malware analysis sets it apart from other cybersecurity solutions.
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content