May 2024 AI and GenAI News- Summary of May GenAI update


Amazon has launched Q, an AI-powered assistant designed to enhance productivity for businesses and developers.
Q Developer facilitates advanced code generation, testing, debugging, reasoning, and provides planning agents.
Q Business integrates with company data systems, allowing users to access and analyze information, summarize trends, and respond to queries efficiently.
The Q Apps feature enables non-technical users to create custom AI applications using natural language, streamlining interactions with enterprise data.

Ukraine is breaking new ground by deploying Victoria Shi, an AI-powered spokesperson, for their Ministry of Foreign Affairs. Victoria assists human diplomats by delivering updates and information on consular affairs.

While human staff crafts the content of Victoria's messages, the AI avatar delivers them visually. To ensure authenticity and combat potential manipulation, each statement comes with a QR code linking to the official text version on the ministry's website. This innovative approach marks a global first in using AI avatars for official government communications.
X, formerly known as Twitter, has launched a new feature called Stories, which provides AI-generated summaries of trending news within the app.
This feature, available to X Premium subscribers, offers quick news updates in the Explore section, reducing the need for users to scroll extensively.
Powered by Grok AI, the summaries are based on data from X to ensure relevance and accuracy.
Users are cautioned about potential inaccuracies in the AI-generated summaries and advised to check facts independently.
Microsoft is creating a new AI model called MAI-1, led by Mustafa Suleyman. This model aims to compete with leaders like OpenAI and Google.
MAI-1, with 500 billion parameters, is set to handle complex tasks and improve on previous Microsoft AI models.
It's being trained using data from OpenAI's GPT-4 and the public internet, enhancing its knowledge and capabilities.

Meta Boosts Advertising with AI and Verification:

  • AI-Powered Ad Creation: Meta Platforms is rolling out new ad tools that leverage AI to generate ad copy and images based on existing content. This will help advertisers create variations and optimize campaigns.
  • Global AI Expansion: These AI features are planned for global rollout by the end of 2024, with ongoing analysis of past campaigns to further refine them.
  • Meta Verified Goes Global: Meta is expanding its Meta Verified service to more countries, allowing more small businesses to benefit from increased credibility and user engagement.
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    p>Google I/O 2024 was a whirlwind of announcements, with a heavy focus on artificial intelligence (AI) advancements. Here's a quick rundown of some of the key updates:

    Search and Assistant Upgrades

    • Gemini AI: Google's search engine got a major upgrade with an improved version of Gemini. This means more informative search results and the ability to use text prompts to get help with tasks like creating meal plans.
    • AI Teammate: A new feature called "AI Teammate" is being integrated into Google Workspace. This AI assistant can create searchable summaries of your work from emails, messages, and documents.
    • Multimodal Search: Google is testing new search features that go beyond text. One example is the ability to upload a video of a product and ask the search engine to identify it or troubleshoot a problem.

    Generative AI

    • Imagen 3: This upgraded image generation tool boasts better text understanding and the ability to create images with finer details.
    • Veo: A brand new app from DeepMind that allows users to create high-definition videos using text prompts. Veo even understands cinematic terms, so you can ask it to generate a time-lapse video with an aerial shot.

    Other Announcements

    • Android 15: The next iteration of Android promises better battery life and the ability to cast any cast-enabled app directly to your car's display (with Rivian being the first automaker on board).
    • Wear OS 5: This update to Google's wearable platform focuses on improved efficiency, offering 20% more battery life and new health metrics for runners.
    • Firebase Genkit: Developers can now leverage this new tool to create AI-powered applications more easily.

    30th day news

    Apple to Supercharge Siri with Next-Gen AI


    Get ready for a smarter Siri! Apple is gearing up for a major upgrade to its virtual assistant, powered by cutting-edge artificial intelligence. This revamp will allow users to control individual features within apps using just their voice.

    This marks a significant leap for Siri, as it will now be able to manage a wider range of tasks within your favorite apps. To achieve this, Apple is undertaking a major overhaul of Siri's underlying software, incorporating powerful large language models - a key technology behind impressive AI advancements.

    Dataknobs Blog

    10 Use Cases Built

    10 Use Cases Built By Dataknobs

    Dataknobs has developed a wide range of products and solutions powered by Generative AI (GenAI), Agent AI, and traditional AI to address diverse industry needs. These solutions span finance, healthcare, real estate, e-commerce, and more. Click on to see in-depth look at these use cases - Stocks Earning Call Analysis, Ecommerce Analysis with GenAI, Financial Planner AI Assistant, Kreatebots, Kreate Websites, Kreate CMS, Travel Agent Website, Real Estate Agent etc.

    AI Agent for Business Analysis

    Analyze reports, dashboard and determine To-do

    DataKnobs has built an AI Agent for structured data analysis that extracts meaningful insights from diverse datasets such as e-commerce metrics, sales/revenue reports, and sports scorecards. The agent ingests structured data from sources like CSV files, SQL databases, and APIs, automatically detecting schemas and relationships while standardizing formats. Using statistical analysis, anomaly detection, and AI-driven forecasting, it identifies trends, correlations, and outliers, providing insights such as sales fluctuations, revenue leaks, and performance metrics.

    AI Agent Tutorial

    Agent AI Tutorial

    Here are slides and AI Agent Tutorial. Agentic AI refers to AI systems that can autonomously perceive, reason, and take actions to achieve specific goals without constant human intervention. These AI agents use techniques like reinforcement learning, planning, and memory to adapt and make decisions in dynamic environments. They are commonly used in automation, robotics, virtual assistants, and decision-making systems.

    Build Dataproducts

    How Dataknobs help in building data products

    Building data products using Generative AI (GenAI) and Agentic AI enhances automation, intelligence, and adaptability in data-driven applications. GenAI can generate structured and unstructured data, automate content creation, enrich datasets, and synthesize insights from large volumes of information. This helps in scenarios such as automated report generation, anomaly detection, and predictive modeling.

    KreateHub

    Create New knowledge with Prompt library

    At its core, KreateHub is designed to enable creation of new data and the generation of insights from existing datasets. It acts as a bridge between raw data and meaningful outcomes, providing the tools necessary for organizations to experiment, analyze, and optimize their data processes.

    Build Budget Plan for GenAI

    CIO Guide to create GenAI Budget for 2025

    CIOs and CTOs can apply GenAI in IT Systems. The guide here describe scenarios and solutions for IT system, tech stack, GenAI cost and how to allocate budget. Once CIO and CTO can apply this to IT system, it can be extended for business use cases across company.

    RAG For Unstructred and Structred Data

    RAG Use Cases and Implementation

    Here are several value propositions for Retrieval-Augmented Generation (RAG) across different contexts: Unstructred Data, Structred Data, Guardrails.

    Why knobs matter

    Knobs are levers using which you manage output

    See Drivetrain appproach for building data product, AI product. It has 4 steps and levers are key to success. Knobs are abstract mechanism on input that you can control.

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