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Imagine chatting with a virtual assistant that remembers not just your last question but the entire flow of your conversation—personal details, preferences, even follow-up queries. This memory transforms chatbots from simple Q&A machines into sophisticated conversational partners, capable of handling complex topics over multiple interactions. In this article, we dive into the fascinating world of […] The post Enhancing AI Conversations with LangChain Memory appeared first on Analytics
Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment.
Owl ViT is a computer vision model that has become very popular and has found applications across various industries. This model takes in an image and a text query as input. After the image processing, the output comes with a confidence score and the object’s location (from the text query) in the image. This model’s […] The post Zero-shot Object Detection with Owl ViT Base Patch32 appeared first on Analytics Vidhya.
The CEO of Salesforce AI, Clara Shih, has left after just 20 months in the job. Neither Shih nor the company has made an official announcement, but a source familiar with the matter confirmed to CIO that Adam Evans, previously senior vice president of product for Salesforce AI Platform, has moved up to the newly created role of executive vice president and general manager of Salesforce AI.
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Introduction In this interview, we dive into the decision-making process, benefits, and transformative impact of Ontotext Target Discovery on a research team’s workflow. Faced with the need to rank complex data and streamline drug target identification, the team shares why Ontotext’s ranking capabilities and customized approach stood out. We learn how Ontotext’s flexible support and data integration have empowered them to efficiently prioritize targets, enhance research flows, and incorporate AI
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Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.
Analyst reaction to Thursday’s release by the US Department of Homeland Security (DHS) of a framework designed to ensure safe and secure deployment of AI in critical infrastructure is decidedly mixed. Where did it come from? According to a release issued by DHS, “this first-of-its kind resource was developed by and for entities at each layer of the AI supply chain: cloud and compute providers, AI developers, and critical infrastructure owners and operators — as well as the civil society and publ
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
This is a guest post by FINRA (Financial Industry Regulatory Authority). FINRA is dedicated to protecting investors and safeguarding market integrity in a manner that facilitates vibrant capital markets. FINRA performs big data processing with large volumes of data and workloads with varying instance sizes and types on Amazon EMR. Amazon EMR is a cloud-based big data environment designed to process large amounts of data using open source tools such as Hadoop, Spark, HBase, Flink, Hudi, and Prest
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Enterprise organizations collect massive volumes of unstructured data, such as images, handwritten text, documents, and more. They also still capture much of this data through manual processes. The way to leverage this for business insight is to digitize that data. One of the biggest challenges with digitizing the output of these manual processes is transforming this unstructured data into something that can actually deliver actionable insights.
El ecosistema tech podría resumirse, muy a grandes rasgos, en dos categorías: quienes desarrollan la tecnología y quienes la usan. Aun a riesgo de caer en una simplificación excesiva, este esquema sirve para entender dónde se sitúan los grupos de usuarios. Estas organizaciones sirven como enlaces entre las dos categorías e, incluso, dentro de cada una.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.
IT service management (ITSM) tools and practices transformed the tech side of the enterprise by automating service and support operations, along with adding employee self-service options. The combination was so effective that organizations are applying the principles to the entire organization in the form of enterprise service management (ESM), allowing departments such as human resources (HR), finance, and facilities to transform their own processes.
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