Thu.Oct 31, 2024

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Harnessing AI and Knowledge Graphs for Enterprise Decision-Making

Unite.AI

Today’s business landscape is arguably more competitive and complex than ever before: Customer expectations are at an all-time high and businesses are tasked with meeting (or exceeding) those needs, while simultaneously creating new products and experiences that will provide consumers with even more value. At the same time, many organizations are strapped for resources, contending with budgetary constraints, and dealing with ever-present business challenges like supply chain latency.

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7 best transcript summarizers powered by AI

AssemblyAI

The transition to online communication—from sales calls to internal meetings to educational coursework—has created significant opportunities for new AI-powered tools and platforms that help individuals fully use all this digital data.  One predominant AI feature that has risen in popularity is AI-powered transcript summarizers. In addition to providing an immediate transcript of a virtual meeting or lecture (using AI speech-to-text ), AI transcript summarizers can summarize th

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Why AI Developers Are Buzzing About Claude 3.5’s Computer Use Feature

Unite.AI

Anthropic has just released Claude 3.5, a powerful new version of its LLM series. While this model brings improved reasoning and coding skills, the real excitement centers around a new feature called “Computer Use.” This capability lets developers guide Claude to interact with the computer like a person—navigating screens, moving cursors, clicking, and typing.

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SmolLM2 Released: The New Series (0.1B, 0.3B, and 1.7B) of Small Language Models for On-Device Applications and Outperforms Meta Llama 3.2 1B

Marktechpost

In recent years, the surge in large language models (LLMs) has significantly transformed how we approach natural language processing tasks. However, these advancements are not without their drawbacks. The widespread use of massive LLMs like GPT-4 and Meta’s LLaMA has revealed their limitations when it comes to resource efficiency. These models, despite their impressive capabilities, often demand substantial computational power and memory, making them unsuitable for many users, particularly

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The AI Productivity Shift: How 3,000 Pros And 140K Users Are Transforming Work

Hubstaff’s new report, The AI Productivity Shift, highlights how 3,000+ professionals and 140,000+ users are transforming the way they work with AI. Adoption is high—85% are using AI—and the potential is just beginning. Teams that integrate AI into daily workflows report 77% faster task completion, 70% improved focus, and stronger results across the board.

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Beyond Word Error Rate: Universal-2 Delivers Accuracy Where It Matters

AssemblyAI

Building AI applications with speech recognition should be straightforward: process audio, get structured data, take action. Yet despite the industry's claims of +90% accuracy, developers face a persistent challenge: the gap between raw audio files and reliable, structured outputs. The hidden cost of "good enough" speech-to-text Consider a simple example: Your application needs to parse "sarah.johnson@acme-corp.com" from an audio stream.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning Blog

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to enhance productivity and decision-making processes.

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Innovations in Analytics: Elevating Data Quality with GenAI

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. However, data quality is still a major challenge: if the data that is fed into a model lacks quality/consistency, the resulting output will also be of low quality.

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Amy Brown, Chief Executive Officer, Authenticx – Interview Series

Unite.AI

Amy Brown , a former healthcare executive, founded Authenticx in 2018 to help healthcare organizations unlock the potential of customer interaction data. With two decades of experience in the healthcare and insurance industries, she saw the missed opportunities in using customer conversations to drive business growth and improve profitability. Authenticx addresses this gap by utilizing AI and natural language processing to analyze recorded interactions—such as calls, emails, and chats—providing

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How a company transformed employee HR experience with an AI assistant

IBM Journey to AI blog

IBM Build Partner Inspire for Solutions Development is a regional consulting firm that provides enterprise IT solutions across the Middle East. Jad Haddad , Head of AI at Inspire for Solutions Development has embraced the IBM watsonx™ AI and data platform to enhance the HR experience for its 450 employees. Next-gen HR for a next-gen workforce As a new generation of digital natives enters the workforce, we are seeing new expectations around the employee experience.

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From Curiosity to Competitive Edge: How Mid-Market CEOs Are Using AI to Scale Smarter

Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage

This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.

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#47 Building a NotebookLM Clone, Time Series Clustering, Instruction Tuning, and More!

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! As we wrap up October, we’ve compiled a bunch of diverse resources for you — from the latest developments in generative AI to tips for fine-tuning your LLM workflows, from building your own NotebookLM clone to instruction tuning. We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy.

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Discover insights from Gmail using the Gmail connector for Amazon Q Business

AWS Machine Learning Blog

A number of organizations use Gmail for their business email needs. Gmail for business is part of Google Workspace , which provides a set of productivity and collaboration tools like Google Drive , Gmail , and Google Calendar. Google Drive supports storing documents such as Emails contain a wealth of information found in different places, such as within the subject of an email, the message content, or even attachments.

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6 AI Tools You Need Right Now

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Kamran Khan Originally published on Towards AI. Boost Your Productivity with AI This member-only story is on us. Upgrade to access all of Medium. Photo by BoliviaInteligente on Unsplash In the fast pace of digital today, tools created through AI can work to create changes in being more productive, creative, and even more efficient every day.

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XElemNet: A Machine Learning Framework that Applies a Suite of Explainable AI (XAI) for Deep Neural Networks in Materials Science

Marktechpost

Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to optimizing compositions, deep learning has accelerated material design and facilitated exploration in expansive materials spaces. However, explainability is an issue as they are ‘black boxes,’ so to say, hiding their inner working.

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Prospect, Personalize, Profit: The New Way Sales & Marketing Teams Are Aligning with AI

Speaker: Kevin Burke, Founder & Managing Director at Digital One and AI & Automation Consultant

AI and automation are currently transforming the way sales and marketing teams operate. Generative AI crafts personalized outreach at scale, while conversational AI bots are engaging prospects in real time. Robotic process automation streamlines manual workflows by triggering tasks the moment a prospect takes a key action, and advanced AI analytics surface hidden patterns in the pipeline, improve forecasting, and help teams make data-driven decisions with confidence.

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AI & Python #29: Python Projects You Can Finish in a Weekend

Artificial Corner

Learning Python can be difficult. You might spend a lot of time watching videos and reading books; however, if you can’t put all the concepts learned into practice, that time will be wasted. This is why you should get your hands dirty with Python projects. A project will help you bring together everything you’ve learned, stay motivated, build a portfolio, and come up with ways of approaching problems and solving them with code.

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OpenAI Launches it’s Search Engine on ChatGPT

Marktechpost

In the vast world of AI tools, a key challenge remains: delivering accurate, real-time information. Traditional search engines have dominated our digital lives, helping billions find answers, yet they often fall short in providing personalized, conversational responses. Large language models like OpenAI’s ChatGPT transformed how we interact with information, but they were limited by outdated training data, reducing their utility in dynamic, real-time situations.

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I just tested Google vs ChatGPT search — and I’m shocked by the results

Flipboard

With OpenAI’s new real-time search feature, ChatGPT is positioning itself as a competitor to traditional search engines like Google.

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Run AI Open Sources Run:ai Model Streamer: A Purpose-Built Solution to Make Large Models Loading Faster, and More Efficient

Marktechpost

In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists and machine learning engineers, one of the biggest frustrations has been the slow and often cumbersome process of loading trained models for inference. Whether models are stored locally or in the cloud, inefficiencies during loading can create frustrating bottlenecks, reducing productivity and delaying the delivery of valuable insights.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Fashion models step aside as AI glam bots join them in ads: ‘It’s about faster content creation’

Flipboard

Meet the faces of the future.

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Edge 444: Learn About Movie Gen: Meta AI's Amazing Audio-Video Generation Model

TheSequence

Created Using Midjourney Video is rapidly becoming one of the next frontiers in generative AI. From OpenAI’s Sora startups like Runway or Pika to the new efforts from Google, most of the large video generation models remained closed-source. There are open-source efforts such as Stability AI’s Stable Video, but the quality is not at the same level as that of the large commercial alternatives.

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7 Gartner trends for CIOs to watch in 2025 and beyond

Flipboard

The analyst firm used this year's trends list to spotlight the role of AI in the enterprise, especially as vendors change how AI agents are delivered.

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10 Python One-Liners That Will Boost Your Data Science Workflow

Machine Learning Mastery

Python is the most popular data science programming language, as it’s versatile and has a lot of support from the community. With so much usage, there are many ways to improve our data science workflow that you might not know.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Automatically Research Anybody with ChatGPT and Perplexity

Flipboard

AI tools like ChatGPT and Perplexity, combined with automation software Make, to research individuals efficiently.

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Google Maps Gets a Huge Update With Gemini Integration

Extreme Tech

Big changes are coming to Google Maps on your phone this week.

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Why End-to-End Document Creation Is the Next Big Focus

Artificial Lawyer

By Judie Rahman, Senior Solutions Manager at BigHand. BigHand recently surveyed over 800 legal professionals and found 35% of participating law firms confirmed that reviewing.

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Intel Reportedly Lost a Steep Discount at TSMC With Dismissive Comments About Taiwan

Extreme Tech

CEO Pat Gelsinger made comments that allegedly offended TSMC.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Free Data and AI Courses with 365 Data Science—Unlimited Access until Nov 21

Machine Learning Mastery

Sponsored Content From November 1st to November 21st, 2024 (8:00 am UTC), 365 Data Science offers free access to its comprehensive learning platform. This is.

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AMD Announces the Ryzen 7 9800X3D CPU at $479

Extreme Tech

AMD says it's 8% faster in gaming than the 7800X3D.

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CodeFavor: A Machine Learning Framework that Trains Pairwise Preference Models with Synthetic Code Preferences Generated from Code Evolution like Code Commits and Code Critiques

Marktechpost

Large Language Models (LLMs) have revolutionized software development by enabling code completion, functional code generation from instructions, and complex code modifications for bug fixes and feature implementations. While these models excel at generating code from natural language instructions, significant challenges persist in evaluating the quality of LLM-generated code.