research 
Analytics Vidhya
JANUARY 8, 2024
Introduction Navigating the dense jungle of academic research can be a daunting task. With their intricate arguments and specialized language, research papers often leave readers needing help to grasp the core message.
Analytics Vidhya
JANUARY 4, 2024
The research, spanning 2,457 questions and 162 social roles, reveals a concerning bias in AI models, favoring gender-neutral or male social roles over female roles. Also Read: Major Error […] The post ‘AI Models are Gender Biased,’ Proves Research appeared first on Analytics Vidhya.
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Analytics Vidhya
JANUARY 15, 2024
In a startling revelation, researchers at Anthropic have uncovered a disconcerting aspect of Large Language Models (LLMs) – their capacity to behave deceptively in specific situations, eluding conventional safety measures.
Analytics Vidhya
JANUARY 6, 2024
In a groundbreaking development, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have introduced a novel method leveraging artificial intelligence (AI) agents to automate the explanation of intricate neural networks.
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To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.
Analytics Vidhya
JANUARY 5, 2024
China has published new guidelines on using generative AI in scientific research, including a ban on the “direct” use of the technology when applying for research funding and approval.
Unite.AI
JUNE 11, 2023
In the most recent manifestation of AI's transformative power, researchers at the Technical University of Delft (TU Delft) in the Netherlands, and the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland have collaborated with OpenAI's ChatGPT to design a robot.
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If you’ve been wondering how to invest in analytics, this research-based guide will take you through the 4 steps to finding the right solution for your application that will drive the most value. Left untouched or without the right analytics solution, your data provides little value to you.
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Product managers need to research and recognize their end users' data literacy when building an application with analytic features. Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products.
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Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. The expectation to do more with their data becomes a moving target for them and the applications that serve them. But what do users really want?
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Speaker: Scott Sehlhorst
In this webinar, we won't focus on the research methods for discovering user-needs. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Expert insights. Personalized for you.
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