AI News

JULY 3, 2024

Discover how AI is revolutionising digital marketing with success stories and key strategies. Learn about personalisation, predictive analytics, content creation, and more. The rapid evolution of AI is revolutionising digital marketing, offering unprecedented opportunities for personalisation, efficiency, and customer engagement. By leveraging advanced algorithms and machine learning techniques, AI is transforming how marketers interact with their audiences, predict customer behaviour, and optim

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Analytics Vidhya

JULY 3, 2024

Introduction Keys are an important part of SQL, and the primary, foreign, and candidate keys hold a significant value. The alternate key holds are crucial, yet we often overlook their importance. They are used to design our database, Ensure the integrity of our data, and create an efficient way to retrieve records. Intriguing right? Further in […] The post What are the SQL Alternate Keys?

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AI News

JULY 3, 2024

Following Apple’s partnership announcement with OpenAI at WWDC last month, a new report reveals that the tech giant will secure an “observer role” on OpenAI’s board of directors. The new arrangement – set to take effect later this year – will see Apple’s long-time marketing chief turned Apple Fellow, Phil Schiller, representing the company in this capacity.

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Analytics Vidhya

JULY 3, 2024

Introduction The rise of Retrieval-Augmented Generation (RAG) and Knowledge Graphs has revolutionized how we interact with complex data sets by providing a structured, interconnected representation of information. Knowledge Graphs, such as those used in Neo4j, facilitate the querying and visualization of relationships within data. However, translating natural language into structured query languages like Cypher remains […] The post Finetuning Phi-Medium to Generate Cypher Query from Text a

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Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Unite.AI

JULY 3, 2024

Code embeddings are a transformative way to represent code snippets as dense vectors in a continuous space. These embeddings capture the semantic and functional relationships between code snippets, enabling powerful applications in AI-assisted programming. Similar to word embeddings in natural language processing (NLP), code embeddings position similar code snippets close together in the vector space, allowing machines to understand and manipulate code more effectively.

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AI News

JULY 3, 2024

COVID-19 has, in a sense, transformed Zoom from a business-only tool into a household name. Now, the $19 billion video-calling giant is looking to redefine itself, which means leaving behind much of what has made it a mainstay throughout its decade-plus history. Graeme Geddes, Zoom’s chief growth officer, recently told Fortune , “Zoom is so much more than just video meetings.

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Analytics Vidhya

JULY 3, 2024

Introduction Semantic segmentation, categorizing images pixel-by-pixel into specified groups, is a crucial problem in computer vision. Fully Convolutional Networks (FCNs) were first introduced in a seminal publication by Trevor Darrell, Evan Shelhamer, and Jonathan Long in 2015. This ground-breaking method completely changed the field by providing end-to-end training for semantic segmentation tasks, doing away with […] The post Role of Fully Convolutional Networks in Semantic Segmentation

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AI News

JULY 3, 2024

Google is currently grappling with a major dilemma: finding a way to maintain its impressive progress in AI technology while also staying true to its goal of minimising carbon emissions. In its 2024 Environmental Report , Google discloses a concerning trend: a staggering 50% surge in emissions over the past five years. This surge can be attributed mainly to the heightened energy requirements of its AI-powered data centres.

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Analytics Vidhya

JULY 3, 2024

Introduction In the evolving field of machine learning, generating accurate responses with minimal data is crucial. One-shot prompting is a powerful strategy that enables AI models to perform specific tasks by providing just a single example or template. This approach is especially beneficial when the undertaking calls for a few degrees of guidance or a […] The post What is One-shot Prompting?

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Unite.AI

JULY 3, 2024

TileDB is the modern database that integrates all data modalities, code and compute in a single product. TileDB was spun out of MIT and Intel Labs in May 2017. Prior to founding TileDB, Inc. in February 2017, Dr. Stavros Papadopoulos was a Senior Research Scientist at the Intel Parallel Computing Lab, and a member of the Intel Science and Technology Center for Big Data at MIT CSAIL for three years.

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Analytics Vidhya

JULY 3, 2024

Introduction In the era of global communication, developing effective multilingual AI systems has become increasingly important. Robust multilingual embedding models are highly beneficial for Retrieval Augmented Generation (RAG) systems, which leverage the strength of big language models with external knowledge retrieval. This guide will help you choose the ideal multilingual embedding model for your RAG […] The post How to Find the Best Multilingual Embedding Model for Your RAG?

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Unite.AI

JULY 3, 2024

Brazil's National Data Protection Authority (ANPD) has halted Meta's plans to use Brazilian user data for artificial intelligence training. This move comes in response to Meta's updated privacy policy , which would have allowed the company to utilize public posts, photos, and captions from its platforms for AI development. The decision highlights growing global concerns about the use of personal data in AI training and sets a precedent for how countries may regulate tech giants' data practices i

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IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses. For example, the Master’s generative AI-driven golf fan experience uses real-time and historical data to provide insights and commentary for over 20,000 video clips.

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Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Explosion

JULY 3, 2024

Large language models have significantly transformed the field of artificial intelligence. The fundamental innovation behind this change is surprisingly straightforward: make the models a lot bigger. With each new iteration, the capabilities of these models expand, prompting a critical question: Are we moving toward a black box era where AI is controlled by a few tech monopolies?

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Marktechpost

JULY 3, 2024

In the dynamic world of technology, Large Language Models (LLMs) have become pivotal across various industries. Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications. Let’s explore 15 detailed examples of how companies harness LLMs in real-world scenarios. Netflix: Evolving Big Data Job Remediation Netflix has shifted from traditional rule-based classifiers to machine learning-powered auto-remediation systems for handlin

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AWS Machine Learning Blog

JULY 3, 2024

Foreigners and expats living outside of their home country deal with a large number of emails in various languages daily. They often find themselves struggling with language barriers when it comes to setting up reminders for events like business gatherings and customer meetings. To solve this problem, this post shows you how to apply AWS services such as Amazon Bedrock , AWS Step Functions , and Amazon Simple Email Service (Amazon SES) to build a fully-automated multilingual calendar artificial

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Marktechpost

JULY 3, 2024

Synthetic data generation has become crucial in training large language models (LLMs). This field focuses on creating artificial data sets that mimic real-world data, allowing researchers to train and evaluate machine learning models effectively without compromising privacy or requiring extensive data collection efforts. The methodology behind synthetic data creation aims to provide diverse and scalable data sets to enhance the robustness and performance of LLMs in various applications.

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

AWS Machine Learning Blog

JULY 3, 2024

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). This feature streamlines the entire RAG workflow, from ingestion to retrieval and prompt augmentation, eliminating the need for custom data source integrations and data flow management.

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Marktechpost

JULY 3, 2024

Regarding enterprise-level functionality, many current LLM suppliers still need to catch up. One major issue is the need for a reliable method for regulating LLM expenditures on a per-user, per-project, per-environment, per-feature basis, etc. A granular method of monitoring LLMs has yet to be created. However, technical resources should be better spent releasing technologies that contribute to the company’s success rather than creating an LLM wrapper internally.

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AWS Machine Learning Blog

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Today, LLMs are being used in real settings by companies, including the heavily-regulated healthcare and life sciences industry (HCLS).

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Marktechpost

JULY 3, 2024

Peptides, being highly flexible biomolecules, are involved in numerous biological processes and are of great interest in therapeutic development. Knowing the peptides’ conformations is crucial for any research as their function depends on their shape. Understanding how a peptide folds allows researchers to design new ones with specific therapeutic applications or helps them to deduce the processes by which natural peptides work at the molecular level, leading to advancements in various fields.

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Extreme Tech

JULY 3, 2024

The ex-police officer has been leaking private data and planting explosive 'news' from Moscow for at least eight years. Now, with the 2024 US election coming up, the cat is out of the bag.

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Marktechpost

JULY 3, 2024

Modern businesses need to process vast amounts of transactions quickly and accurately. Online Transaction Processing (OLTP) systems are designed to handle large numbers of simple, quick transactions such as online banking, order entry, and retail sales. However, traditional OLTP systems often face write contention, which occurs when multiple transactions attempt to modify the same data concurrently.

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Artificial Lawyer

JULY 3, 2024

A new study of professionals across the world by Thomson Reuters has found that fears over genAI’s impact still persist, with 77% of respondents saying.

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Towards AI

JULY 3, 2024

Last Updated on July 3, 2024 by Editorial Team Author(s): Shenggang Li Originally published on Towards AI. Adapting Diverse Models to Transform Transactional Data for Predictive AccuracyPhoto by Elena Mozhvilo on Unsplash Time series forecasting is fundamental to predictive modeling, drawing significant interest from data scientists. Its applications range from supply chain demand prediction to financial market forecasting.

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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Marktechpost

JULY 3, 2024

MultiOn AI has recently announced the release of its latest innovation, the Retrieve API, an autonomous web information retrieval API designed to revolutionize how developers and businesses extract and utilize web data. This groundbreaking API complements the previously launched Agent API, offering a comprehensive solution for autonomous web browsing and data extraction.

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Towards AI

JULY 3, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, video processing and generation, and image recognition.

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NVIDIA

JULY 3, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users. Generative models have completely transformed the AI landscape — headlined by popular apps such as ChatGPT and Stable Diffusion. Paving the way for this boom were foundational AI models and generative adversarial networks (GANs), which sparked a leap in productivity and creativity.

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