Sat.Jul 27, 2024 - Fri.Aug 02, 2024

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Meta’s AI strategy: Building for tomorrow, not immediate profits

AI News

Meta has signalled a long-term AI strategy that prioritises substantial investments over immediate revenue generation. During the company’s Q2 earnings call, CEO and founder Mark Zuckerberg outlined Meta’s vision for the future and emphasised the need for extensive computational resources to support their AI initiatives. Zuckerberg revealed that Meta is “planning for the compute clusters and data we’ll need for the next several years,” with a particular focus on the

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Transformer Impact: Has Machine Translation Been Solved?

Unite.AI

Google recently announced their release of 110 new languages on Google Translate as part of their 1000 languages initiative launched in 2022. In 2022, at the start they added 24 languages. With the latest 110 more, it’s now 243 languages. This quick expansion was possible thanks to the Zero-Shot Machine Translation , a technology where machine learning models learn to translate into another language without prior examples.

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Will generative AI live up to its hype?

IBM Journey to AI blog

A recent report published by Goldman Sachs has fueled a new debate around generative AI’s business value. Titled “Gen AI: Too much spend, too little benefit,” the report presents a contrasting view on what the technology currently delivers, approximately two years after its initial boom. The report echoes recent news stories that question whether gen AI is living up to its hype.

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Amazon strives to outpace Nvidia with cheaper, faster AI chips

AI News

Amazon’s chip lab is churning out a constant stream of innovation in Austin, Texas. A new server design was put through its paces by a group of devoted engineers on July 26th. During a visit to the facility in Austin, Amazon executive Rami Sinno shed light on the server’s use of Amazon’s AI chips. This development is a bold step toward competing with Nvidia, the current leader in the field.

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The AI Productivity Shift: Whats Working & Whats Next

85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.

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How to Personalize Customer Experiences Using IoT Data and AI

Aiiot Talk

Integrating artificial intelligence into Internet of Things (IoT) devices isn’t a new concept, but it is still in the development and early adoption stages. In other words, no standard approach exists yet. How can you use AI and IoT data to personalize the customer experience? How Do IoT Devices and AI Work Together? IoT technology is constantly connected to the internet, continuously exchanging data with a remote server and other local nodes in real time.

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Will Meta’s Bold Move Towards User-Created Chatbots Work?

Unite.AI

Meta, the tech giant behind Facebook, Instagram, and WhatsApp, has launched AI Studio , a platform that allows users to create, share, and discover custom AI chatbots. This move marks a shift in Meta's AI chatbot strategy, moving away from their previous celebrity-focused chatbots to a more democratized approach. The introduction of AI Studio represents the accessibility of AI technology.

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NVIDIA and Meta CEOs: Every business will ‘have an AI’

AI News

In a fireside chat at SIGGRAPH 2024 , NVIDIA founder and CEO Jensen Huang and Meta founder and CEO Mark Zuckerberg shared their insights on the potential of open source AI and virtual assistants. The conversation began with Zuckerberg announcing the launch of AI Studio , a new platform designed to democratise AI creation. This tool allows users to create, share, and discover AI characters, potentially opening up AI development to millions of creators and small businesses.

Big Data 360
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Step-by-step guide: Generative AI for your business

IBM Journey to AI blog

Generative artificial intelligence (gen AI) is transforming the business world by creating new opportunities for innovation, productivity and efficiency. This guide offers a clear roadmap for businesses to begin their gen AI journey. It provides practical insights accessible to all levels of technical expertise, while also outlining the roles of key stakeholders throughout the AI adoption process. 1.

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What is CONCAT in SQL?

Analytics Vidhya

Introduction The CONCAT function in Structured Query Language (SQL) connects or concatenates two or more strings into a single string. This feature is crucial for data formatting and modification, which makes it an indispensable tool for database developers and administrators. Furthermore, concatenating strings can be done with the + operator in certain SQL dialects.

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Speeding Robotics Automation with AI

The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

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AI at the International Mathematical Olympiad: How AlphaProof and AlphaGeometry 2 Achieved Silver-Medal Standard

Unite.AI

Mathematical reasoning is a vital aspect of human cognitive abilities, driving progress in scientific discoveries and technological developments. As we strive to develop artificial general intelligence that matches human cognition, equipping AI with advanced mathematical reasoning capabilities is essential. While current AI systems can handle basic math problems, they struggle with the complex reasoning needed for advanced mathematical disciplines like algebra and geometry.

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Apple opts for Google chips in AI infrastructure, sidestepping Nvidia

AI News

In a report published on Monday, it was disclosed that Apple sidestepped industry leader Nvidia in favour of chips designed by Google. Instead of employing Nvidia’s GPUs for its artificial intelligence software infrastructure, Apple will use Google chips as the cornerstone of AI-related features and tools set to launch soon. The fact that Apple chose to use Google’s cloud infrastructure is quite interesting because Nvidia has already captured this market, bringing Google, Amazon.com,

Big Data 359
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Harnessing XaaS to reduce costs, risks and complexity

IBM Journey to AI blog

To drive fast-paced innovation, enterprises are demanding models that focus on business outcomes, as opposed to only measuring IT results. At the same time, these enterprises are under increasing pressure to redesign their IT estates in order to lower cost and risk and reduce complexity. To meet these challenges, Everything as a Service (XaaS) is emerging as the solution that can help address these challenges by simplifying operations, reducing risk and accelerating digital transformation.

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How to Create Engaging Customer Experiences with GenAI?

Analytics Vidhya

Introduction While customers have always preferred brands that prioritize an excellent customer experience, it’s only in recent years that it’s become a standard for every business. Customers are now used to it and expect better experiences. Over 71% want personalized services, and around 60% will abandon a brand that doesn’t provide them with these experiences. […] The post How to Create Engaging Customer Experiences with GenAI?

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Agentic AI Explained: Smarter Conversations, Better Experiences

AI has transformed how enterprises deliver customer service, enabling faster engagement, problem-solving, and cost savings. However, traditional AI Agents often rely on rigid conversation flows, risking customer trust when conversations stray from predefined paths. These limitations prevent businesses from fully realizing AI’s potential for cost-efficiency and productivity.

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5 Best AI Tools for Travel Planning (July 2024)

Unite.AI

Artificial intelligence is improving the way we plan and experience travel. From personalized itinerary creation to language translation on the go, AI-powered tools are making trip planning more efficient and tailored to individual preferences. In this article, we'll explore some of the best AI tools currently available for travel planning, each offering unique features to enhance your journey from the initial stages of inspiration to the final moments of your adventure. 1. askLAYLA askLAYLA is

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Google’s Gemini 1.5 Pro dethrones GPT-4o

AI News

Google’s experimental Gemini 1.5 Pro model has surpassed OpenAI’s GPT-4o in generative AI benchmarks. For the past year, OpenAI’s GPT-4o and Anthropic’s Claude-3 have dominated the landscape. However, the latest version of Gemini 1.5 Pro appears to have taken the lead. One of the most widely recognised benchmarks in the AI community is the LMSYS Chatbot Arena, which evaluates models on various tasks and assigns an overall competency score.

Big Data 352
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Elevating customer service: Why IBM watsonx is the perfect fit for public-facing industries

IBM Journey to AI blog

Artificial intelligence (AI) is augmenting the speed, efficiency and quality of human work. For companies involved in public-facing industries such as travel, education and healthcare, there is a major opportunity to leverage the latest advances in generative and conversational AI. These technologies can help free up limited resources, allowing companies to reinvest in front-line services.

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Course Launched by ISRO for Data Analytics

Analytics Vidhya

Introduction ISRO has recently started a series of educational programs devoted to providing essential and profound knowledge on data analytical solutions. Among the offered classes, the LiDAR class is quite elaborate, where extant information regarding LiDAR technology and its use in remote sensing is provided. This is a fundamental method of producing accurate maps and […] The post Course Launched by ISRO for Data Analytics appeared first on Analytics Vidhya.

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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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Testing AI Tools? Don’t Forget to Think About the Total Cost.

Unite.AI

In 2023, AI quickly moved from a novel and futuristic idea to a core component of enterprise strategies everywhere. While ChatGPT is one of the most popular shadow IT software applications, IT leaders are already working to formally adopt AI tools. While the average use of provisioned ChatGPT licenses is still fairly low (under 30% across departments), d ata from Productiv shows that IT departments are using the application the most at 27%, signaling that companies are testing AI tools, like Cha

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Balancing innovation and trust: Experts assess the EU’s AI Act

AI News

As the EU’s AI Act prepares to come into force tomorrow, industry experts are weighing in on its potential impact, highlighting its role in building trust and encouraging responsible AI adoption. Curtis Wilson, Staff Data Engineer at Synopsys’ Software Integrity Group , believes the new regulation could be a crucial step in addressing the AI industry’s most pressing challenge: building trust. “The greatest problem facing AI developers is not regulation, but a lack of trust in A

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Mapping the misuse of generative AI

DeepMind

New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies.

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How Do You Convert Text Documents to a TF-IDF Matrix with tfidfvectorizer?

Analytics Vidhya

Introduction Understanding the significance of a word in a text is crucial for analyzing and interpreting large volumes of data. This is where the term frequency-inverse document frequency (TF-IDF) technique in Natural Language Processing (NLP) comes into play. By overcoming the limitations of the traditional bag of words approach, TF-IDF enhances text classification and bolsters […] The post How Do You Convert Text Documents to a TF-IDF Matrix with tfidfvectorizer?

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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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Are Deepfakes The New Spam Calls? Here’s How To Protect Against Them

Unite.AI

If you saw a deepfake of your company’s CEO, would you be able to tell it wasn’t real? This is a concerning challenge that organizations around the globe are dealing with on a frequent basis. In fact, just recently , an advertising giant was the target of a deepfake of its CEO. A publicly available image of the executive was used to set up a Microsoft Teams meeting in which a voice clone of said executive – sourced from a YouTube video – was deployed.

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The hidden climate cost of AI: How tech giants are struggling to go green

AI News

As AI takes centre stage in Silicon Valley, an inconvenient truth is emerging behind the scenes: AI has a massive carbon footprint. Tech giants like Microsoft, Google and Amazon have made bold commitments to slash greenhouse gas emissions in the coming years, but the technology they’re betting their futures on is making those climate goals increasingly challenging to achieve.

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Gemma Scope: helping the safety community shed light on the inner workings of language models

DeepMind

Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.

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Building a Responsive Chatbot with Llama 3.1, Ollama and LangChain

Analytics Vidhya

Introduction In the fast-paced world of AI, crafting a smart, multilingual chatbot is now within reach. Picture a tool that understands and chats in various languages, helps with coding, and generates high-quality data effortlessly. Enter Meta’s Llama 3.1, a powerful language model that’s transforming AI and making it accessible to everyone. By combining Llama 3.1, […] The post Building a Responsive Chatbot with Llama 3.1, Ollama and LangChain appeared first on Analytics Vidhya.

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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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Redefining Search: How Emerging Conversational Engines Overcome Outdated LLMs and Context-Less Traditional Search Engines

Unite.AI

The advent of conversational search engines is redefining how we retrieve information online, shifting from traditional keyword searches to more natural, conversational interactions. By combining large language models (LLMs) with real-time web data, these new systems address key issues found in both outdated LLMs and standard search engines. In this article, we'll examine the challenges faced by LLMs and keyword-based searches and explore how conversational search engines offer a promising solut

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JPMorgan introduces in-house AI chatbot for research analysis

AI News

In a move that underscores the growing influence of AI in the financial industry, JPMorgan Chase has unveiled a cutting-edge generative AI product. This new tool, LLM Suite, is being hailed as a game-changer and is capable of performing tasks traditionally assigned to research analysts. According to an internal memo obtained by the Financial Times , JPMorgan has granted employees in its asset and wealth management division access to this large language model platform.

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Hugging Face Offers Developers Inference-as-a-Service Powered by NVIDIA NIM

NVIDIA

One of the world’s largest AI communities — comprising 4 million developers on the Hugging Face platform — is gaining easy access to NVIDIA-accelerated inference on some of the most popular AI models. New inference-as-a-service capabilities will enable developers to rapidly deploy leading large language models such as the Llama 3 family and Mistral AI models with optimization from NVIDIA NIM microservices running on NVIDIA DGX Cloud.