Fri.Aug 30, 2024

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IDC: GenAI smartphones to drive global shipment growth in 2024

AI News

IDC has revised its global smartphone shipments forecast 2024, projecting a 5.8% year-on-year (YoY) growth to 1.23 billion units. The market intelligence firm’s optimistic outlook is driven by strong growth in affordable Android devices across emerging markets and substantial interest in generative AI-capable smartphones in premium segments.

Big Data 286
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What is Graph Database?

Analytics Vidhya

Introduction As data scales and characteristics shift across fields, graph databases emerge as revolutionary solutions for managing relationships. Unlike relational databases that use tables and rows, graph databases excel in handling complex networks. Imagine a social network where members connect as friends, followers, or colleagues—graph databases shine in such interconnected data scenarios.

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How AI can help your business get off to a flyer

AI News

Is there a problem nowadays that AI cannot solve? In all honesty, there are not many it seems. By using algorithms and ploughing through copious amounts of data and applying learnings absorbed from them, AI can spot patterns and build instruction manual-like approaches to tackle certain tasks. And, like human beings do, AI learns from experiences, so that it can apply a better approach should the same task arise again.

AI 267
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Improving Real-World RAG Systems: Key Challenges & Practical Solutions

Analytics Vidhya

Introduction Retrieval-Augmented Generation systems are innovative models within the fields of natural language processing since they integrate the components of both retrieval and generation models. In this respect, RAG systems prove to be versatile when the size and variety of tasks that are being executed by LLMs increase, LLMs provide more efficient solutions to fine-tune […] The post Improving Real-World RAG Systems: Key Challenges & Practical Solutions appeared first on Analytic

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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Amazon Taps Anthropic’s AI to Overhaul Alexa

Unite.AI

Amazon is set to upgrade its Alexa voice assistant through a strategic partnership with artificial intelligence company Anthropic. First reported by Reuters , Amazon plans to launch a new version of Alexa, codenamed “Remarkable,” which will leverage Anthropic's advanced Claude AI models. This upgrade aims to enhance Alexa's capabilities, offering users more natural conversations, personalized shopping suggestions, and improved smart home controls.

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Jason Knight is Co-founder and VP of ML at OctoAI – Interview Series

Unite.AI

Jason Knight is Co-founder and Vice President of Machine Learning at OctoAI , the platform delivers a complete stack for app builders to run, tune, and scale their AI applications in the cloud or on-premises. OctoAI was spun out of the University of Washington by the original creators of Apache TVM, an open source stack for ML portability and performance.

ML 162
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Master Segformer: A Quick Guide to Clothes & Human Segmentation

Analytics Vidhya

Introduction A model that segments clothes and humans into different labels would have many applications today. This model’s ability is based on image processing and fine-tuning efficiency. Image processing is done in different ways, and that is where image segmentation comes into the illustration. This process involves grouping each pixel in an image and identifying […] The post Master Segformer: A Quick Guide to Clothes & Human Segmentation appeared first on Analytics Vidhya.

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ChatGPT Use Case to Create AI-Powered FAQs to Improve User Experience

Marktechpost

In today’s digital age, businesses increasingly use artificial intelligence (AI) to enhance customer experience. ChatGPT is emerging as a powerful tool for creating dynamic, responsive, and informative FAQs (Frequently Asked Questions) among the various AI-powered tools. By leveraging ChatGPT, organizations can build AI-powered FAQs that streamline customer support and significantly improve user experience.

ChatGPT 107
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Winning at GenAI: Building the right processes for the data intelligence future

databricks

Learn how companies can create repeatable and scalable workflows that enable users to quickly turn GenAI innovation from experimentation to reality.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Loss-Free Balancing: A Novel Strategy for Achieving Optimal Load Distribution in Mixture-of-Experts Models with 1B-3B Parameters, Enhancing Performance Across 100B-200B Tokens

Marktechpost

Mixture-of-experts (MoE) models have emerged as a crucial innovation in machine learning, particularly in scaling large language models (LLMs). These models are designed to manage the growing computational demands of processing vast data. By leveraging multiple specialized experts within a single model, MoE architectures can efficiently route specific tasks to the most suitable expert, optimizing performance.

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Nvidia Divulges Next-Gen Blackwell Architecture Suffers from Low Yields

Extreme Tech

It's deployed a fix though, and says it will earn billions from Blackwell chips in Q4.

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Using R for Predictive Modeling in Finance

Machine Learning Mastery

Predictive modeling in finance uses historical data to forecast future trends and outcomes. R, a powerful statistical programming language, provides a robust set of tools and libraries for financial analysis and modeling. This article explores the key techniques and packages in R that are commonly used for predictive modeling in finance. We’ll cover time series […] The post Using R for Predictive Modeling in Finance appeared first on MachineLearningMastery.com.

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The GenAI Journey: How Enterprises are Progressing from General-Purpose to Custom LLMs

databricks

Every company's path from foundational to tailored LLMs will be different. Each will require new tooling to help developers deliver the accurate and governed GenAI that leaders are demanding.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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AiM: An Autoregressive (AR) Image Generative Model based on Mamba Architecture

Marktechpost

Large language models (LLMs) based on autoregressive Transformer Decoder architectures have advanced natural language processing with outstanding performance and scalability. Recently, diffusion models have gained attention for visual generation tasks, overshadowing autoregressive models (AMs). However, AMs show better scalability for large-scale applications and work more efficiently with language models, making them more suitable for unifying language and vision tasks.

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Highlights from the Databricks Community

databricks

Within the Databricks Community, there is a technical blog where community members share best practices, tutorials and insights on data analytics, data engineering.

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GaussianOcc: A Self-Supervised Approach for Efficient 3D Occupancy Estimation Using Advanced Gaussian Splatting Techniques

Marktechpost

3D occupancy estimation methods initially relied heavily on supervised training approaches requiring extensive 3D annotations, which limited scalability. Self-supervised and weakly-supervised learning techniques emerged to address this issue, utilizing volume rendering with 2D supervision signals. These methods, however, faced challenges, including the need for ground truth 6D poses and inefficiencies in the rendering process.

ML 69
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Stepping into personalized experiences for every customer with the Databricks Data Intelligence Platform

databricks

Skechers has been at the forefront of the e-commerce industry, focusing on hyperpersonalized experiences to meet customer expectations better. Following significant growth during.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Gemini AI Is Rolling Out in Gmail for Android Devices

Extreme Tech

Google AI subscribers should have "Gmail Q&A" in the coming days.

AI 113
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Crafting bespoke content experiences for every customer with data intelligence

databricks

As a global media conglomerate housing over 37 distinct brands, Condé Nast faced the challenge of delivering targeted consumer experiences across their brands.

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Fortress: An Orchestration Platform for SaaS Applications, Allowing them to Manage a Multi-Instance Database Architecture in their Own Cloud Easily

Marktechpost

For cost, latency, and data control, SaaS companies eventually shift away from third-party managed database platforms and onto their cloud, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. In addition, they transition from a single shared database architecture to a multi-instance database architecture to meet performance, compliance, and enterprise data isolation requirements.

DevOps 64
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Data + AI Use Cases from the World’s Leading Companies

databricks

At Data + AI Summit 2024, some of the world’s largest and industry-leading organizations showcased how they're using Databricks to build data and AI solutions

AI 69
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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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YiVal: Automatic Prompt Engineering Assistant for GenAI Applications

Marktechpost

It is difficult to develop and maintain high-performing AI applications in today’s quickly evolving field of artificial intelligence. The need for more efficient prompts for Generative AI (GenAI) models is one of the most significant challenges facing developers and businesses. It is almost impossible to improve a prompt to get better results, even once a basic one has been created.

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Data Engineering and GenAI: The Tools Practitioners Need

databricks

As organizations leverage their proprietary data for models, many encounter the hard truth: The best GenAI models in the world will not succeed without good data.

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Aleph Alpha Researchers Release Pharia-1-LLM-7B: Two Distinct Variants- Pharia-1-LLM-7B-Control and Pharia-1-LLM-7B-Control-Aligned

Marktechpost

Researchers from Aleph Alpha announce a new foundation model family that includes Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned. These models are now publicly available under the Open Aleph License, explicitly allowing for non-commercial research and educational use. This release marks a significant step forward in providing accessible, high-performance language models to the community.

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Data Warehousing Trends from Data + AI Summit

databricks

In the rapidly evolving landscape of data management, data warehousing continues to be a cornerstone for businesses seeking to harness the power of.

AI 67
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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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This AI Paper Introduces MARBLE: A Comprehensive Benchmark for Music Information Retrieval

Marktechpost

Music information retrieval (MIR) has become increasingly vital as the digitalization of music has exploded. MIR involves the development of algorithms that can analyze and process music data to recognize patterns, classify genres, and even generate new music compositions. This multidisciplinary field blends elements of music theory, machine learning, and audio processing, aiming to create tools that can understand music in a meaningful way to humans and machines.

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Welcome to the Data + AI World Tour 2024

databricks

We're thrilled to launch our 2024 Data + AI World Tour , a series of free in-person events in cities worldwide. Each stop.

AI 76
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NASA Taps Intuitive Machines to Deliver Six Instruments to the Moon

Extreme Tech

The $116.9 million mission is expected to launch in 2027.

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