technology 
Analytics Vidhya
APRIL 16, 2024
In this journey, we’ll uncover the core concepts behind Transformers: attention mechanisms, encoder-decoder architecture, […] The post Understanding Transformers: A Deep Dive into NLP’s Core Technology appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 10, 2024
Also Read: Google Cloud Next 2024: Latest Innovations […] The post Imagen 2: Google’s Most Advanced Text-to-Image Technology appeared first on Analytics Vidhya. Let’s delve into the details of these upgrades and their implications.
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insideBIGDATA
FEBRUARY 16, 2024
If businesses prioritize standardization and compatibility, they can gain a competitive advantage, improve their strategic decision-making and accelerate technological advancement. While it is an adequate approach, it won’t result in the same benefits as proactive action.
Analytics Vidhya
SEPTEMBER 11, 2022
Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].
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Holding onto old BI technology while everything else moves forward is holding back organizations. This whitepaper is for organizations that believe data and technology can help drive growth through innovation and discover solutions to intractable problems.
insideBIGDATA
DECEMBER 2, 2023
Our friends over at PwC released its 2023 Emerging Technology Survey, unveiling the seismic impact emerging technologies have on top-performing companies and highlighting the critical role of AI in driving business model reinvention and long-term innovation.
Analytics Vidhya
FEBRUARY 5, 2024
This surge in internet penetration underscores the pervasive influence […] The post 20 Technologies in Data Science for Professionals appeared first on Analytics Vidhya. As of January 2024, 5.35 billion individuals were connected to the Internet, constituting 66.2 percent of the world’s population.
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The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more. This guide provides many valuable insights.
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Business intelligence is the technological capability to include BI features and functions as an inherent part of another application. For 12 years Dresner Advisory Services has run analysis on the importance of business intelligence, and the different providers of embedded BI solutions. BI Defined. Importance of Business Intelligence.
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Challenges like infrastructure costs, safety concerns, as well as uptime and scaling can all be avoided with the right embedded analytics technology. Embedded analytics offers a strategic solution to this challenge. Here’s how.
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In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence. Which sophisticated analytics capabilities can give your application a competitive edge?
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial.
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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.
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