Sun.May 21, 2023

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Label Classifier Market To Reach US$ 546.41 Billion By 2033

insideBIGDATA

As per a new Fact.MR analysis, the global label classifier market is expected to be worth US$ 48.89 billion in 2023 and US$ 546.41 billion by 2033. During the forecast period, the label classifier industry is predicted to expand at a CAGR of 27.3%. The label classifier market is anticipated to increase significantly as AI and ML technologies become widely used.

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How Data-Driven Decision-Making Can Revolutionize Your Business?

Analytics Vidhya

Do you ever wonder what sets successful businesses apart from the rest? The answer lies in the power of data-driven decision making! According to a PwC’s survey, highly data-driven organizations are 3X more likely to report significant improvements in decision-making compared to those who rely less on data. Imagine the impact that data-driven insights can have […] The post How Data-Driven Decision-Making Can Revolutionize Your Business?

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Why generative AI is a raw material, not a finished product

Cassie Kozyrkov

The new rhetoric around AI regulation Continue reading on The Startup »

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Apple Follows its Rival Samsung, Bans ChatGPT Over Privacy Fears

Analytics Vidhya

In a move that may surprise many, Apple has joined rival tech giant Samsung in banning employee use of OpenAI’s ChatGPT artificial intelligence platform. Apple’s decision comes after raising privacy concerns over employees’ potential to mishandle and leak confidential company data. Learn More: What is ChatGPT? Everything You Need to Know Why Did Apple Ban […] The post Apple Follows its Rival Samsung, Bans ChatGPT Over Privacy Fears appeared first on Analytics Vidhya.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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How generative AI’s impact on digital advertising methodology is evolving

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The tidal wave of new generative AI tools is causing industries to reassess how they function and identify ways of up-leveling their processes.

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Unleashing AI for Personal Enrichment: Harnessing ChatGPT-4’s Therapeutic Power

Towards AI

Last Updated on May 22, 2023 by Editorial Team Author(s): Cezary Gesikowski Originally published on Towards AI. Revolutionizing Self-Reflection: An Innovative Approach to AI-Assisted Journaling image: Unsplash I’ve been leveraging the capabilities of ChatGPT-4 for my personal development over the last few months. I aimed to explore if it could help me better comprehend my life’s challenges, identify patterns in my thought processes, enable me to cultivate a deeper sense of gratitude, and crystal

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5 Models To Use For Image Captioning Task

Mlearning.ai

If you start working on an image captioning task and don’t know what to try or where to start, this story is for you. Continue reading on MLearning.

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The big thing missing from Google's new line-up is a next-gen AI assistant

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Google has big plans for Bard and generative AI, but what about a next-generation version of Assistant? The dust has settled on Google I/O 2023, with sweeping announcements spanning physical products, including the Pixel 7a and Pixel Fold, to AI updates like PaLM2.

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Debugging a FUSE deadlock in the Linux kernel

Hacker News

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Supercharge Your ChatGPT Prompts With Auto-GPT

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The new tool basically transforms ChatGPT into a virtual assistant to help you manage projects, run a marketing campaign, and more.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Ditherpunk – The article I wish I had about monochrome image dithering

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AI Expert Says ChatGPT Is Way Stupider Than People Realize

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"What the large language models are good at is saying what an answer should sound like, which is different from what an answer should be.

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The Demon Core and the Strange Death of Louis Slotin (2016)

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10 ChatGPT Prompts For Marketing Professionals

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1/ Create a Social Media Content Plan Prompt: "For my [product/service] targeting [my target audience] on [my social media platform], create a 1-month …

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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High-Performance Graph Databases, Scaling to Hundreds of Thousands of Cores

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Microsoft Researchers Introduce Reprompting: An Iterative Sampling Algorithm that Searches for the Chain-of-Thought (CoT) Recipes for a Given Task without Human Intervention

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In recent times, Large Language Models (LLMs) have evolved and transformed Natural Language Processing with their few-shot prompting techniques.

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China is calling in loans to dozens of countries from Pakistan to Kenya

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What Could ChatGPT Do to Wall Street?

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A look at Wall Street’s past efforts to speed up trading by embracing computers and AI illuminates the implications of using them for decision-making.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Noise is all around us

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I'm obsessed with this AI art tool for editing images

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DragGAN is a new AI app that lets you adjust photos by simply dragging points on an image; it's a revelation.

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Cloud GPU Resources and Pricing

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These Word & Google Docs Settings May Protect You From ChatGPT Plagiarism Allegations

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AI-powered tools like Bing Chat and ChatGPT were developed to help humans; they can be used to find inspiration, get advice, visualize a certain …

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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For chemists, the AI revolution has yet to happen

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The Dean Meets Socrates: Mastering the Art of Questioning - DataScienceCentral.com

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Sometimes science fiction becomes science fact. Maybe this evitable meeting of minds was bound to happen.

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AI boom could expose investors’ natural stupidity

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How to Use ChatGPT For SEO

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Search engine optimization (SEO) is vital for all businesses looking to drive traffic and enhance their online presence.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Ithkuil, the Most Complicated Language

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The Horrific Content a Kenyan Worker Had to See While Training ChatGPT

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The bot that can write anything for you has already taken a human toll.

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Modding Age of Empires II with a Sprite-Diffuser

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ChatGPT's Evil Twin, BratGPT, is Designed for World Domination

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Not all pieces of technology bring with them existential dread or efficiency improvements.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.