Sat.Apr 15, 2023 - Fri.Apr 21, 2023

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What’s Different About Today’s AI?

Cassie Kozyrkov

Hint: today’s AI revolution isn’t really about AI… it’s about UX Continue reading on Medium »

AI 347
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The Role of Data in Understanding Demographics for Effective Marketing

Smart Data Collective

In the past, large data sets about consumers were far more difficult to come by. For small businesses and agencies, this meant being at a significant disadvantage to larger businesses and corporations that could afford to conduct large-scale research. Today, however, this is far from the case and consumer data is more available than it ever has been before.

Big Data 124
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How to Get Hired as Data Scientist in the GPT-4 Era

KDnuggets

We will be focusing on statistics, core data science concepts, NLP, prompt engineering, data science portfolio, interview preparation, and AIOps.

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Heard on the Street – 4/20/2023

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 489
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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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Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

Analytics Vidhya

A fully autonomous AI agent called AgentGPT is gaining popularity in the field of generative AI models. Based on AutoGPT initiatives like ChaosGPT, this tool enables users to specify a name and an objective for the AI to accomplish by breaking it down into smaller tasks. AgentGPT is a no-code, browser-based solution that makes AI […] The post Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

AI 381
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Why Machines Need Identities Too

Adrian Bridgwater for Forbes

We all engage with digital machines throughout the normal course of our working lives - and, for that matter, as an integral part of our leisure time when we’re trying to wind down.

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The insideBIGDATA IMPACT 50 List for Q2 2023

insideBIGDATA

The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

Big Data 459
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Why Learn No Code Machine Learning in 2023?

Analytics Vidhya

Introduction Technologies like machine learning and artificial intelligence have become the talk of the town because of their applicability across organizations of all sizes and domains; and their ability to automate the most complex tasks. It was only in the reinvention of backpropagation in the mid-1980s that they were deemed successful sheerly because of the […] The post Why Learn No Code Machine Learning in 2023?

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Introducing MLflow 2.3: Enhanced with Native LLM Support and New Features

databricks

With over 13 million monthly downloads, MLflow has established itself as the premier platform for end-to-end MLOps, empowering teams of all sizes to.

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A Step-by-Step Guide to Web Scraping with Python and Beautiful Soup

KDnuggets

Learn the basics of Web Scraping and its Python implementation. Also, get to know about the various methods of Beautiful Soup library.

Python 396
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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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The Elements of Hyperautomation and How It Fits into a Modern IT Stack

insideBIGDATA

In this special guest feature, Robert Duffner, digital portfolio leader for NTT DATA's Enterprise Application Services, outlines what hyperautomation is and how to determine if it is a fit for your organization.

Big Data 446
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Google’s Monopoly Hindered Innovations Like ChatGPT: US Department of Justice

Analytics Vidhya

The US Department of Justice (DOJ) has recently asserted that Google’s monopoly in the tech industry may have delayed the development of innovations like ChatGPT. This statement brings attention to the growing concerns regarding the market dominance of tech giants and the potential repercussions of technological advancements and competition. The DOJ’s Findings on Google’s Monopoly […] The post Google’s Monopoly Hindered Innovations Like ChatGPT: US Department of Jus

Analytics 347
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Introducing AI Functions: Integrating Large Language Models with Databricks SQL

databricks

With all the incredible progress being made in the space of Large Language Models, customers have asked us how they can enable their.

SQL 254
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Dolly 2.0: ChatGPT Open Source Alternative for Commercial Use

KDnuggets

Dolly 2.0 was trained on a human-generated dataset of prompts and responses. The training methodology is similar to InstructGPT but with a claimed higher accuracy and lower training costs of less than $30.

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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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How to Scale AI Infrastructure Effectively, Without Sacrificing Cost Efficiency

insideBIGDATA

Read this white paper, "Investing in AI Infrastructure," from our friends over at IDC and Supermicro that explores how to scale AI infrastructure effectively, without sacrificing cost efficiency.

AI 418
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DinoV2: Most Advanced Self-Taught Vision Model by Meta

Analytics Vidhya

Meta AI has announced the launch of DinoV2, an open-source, self-supervised learning model. It is a vision transformer model for computer vision tasks, built upon the success of its predecessor, DINO. The innovative model delivers robust performance and does not require fine-tuning, setting it apart from other similar models, such as CLIP. Also Read: Microsoft […] The post DinoV2: Most Advanced Self-Taught Vision Model by Meta appeared first on Analytics Vidhya.

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Your guide to getting the best out of AutoGPT

Dataconomy

It is no secret that Autonomous AI agents are here, and AutoGPT is one of the first to arrive. However, even though you have all the ingredients, you have to know what to cook for a good dinner. So, get Python 3.

Python 209
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Baby AGI: The Birth of a Fully Autonomous AI

KDnuggets

Introducing the new fully autonomous task manager that can create, track and prioritize your company's projects using artificial intelligence.

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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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Comet Unveils Suite of Tools and Integrations to Accelerate Large Language Model Workflow for Data Scientists

insideBIGDATA

Comet, a leading platform for managing, visualizing and optimizing models - from training runs to production monitoring, announced a new suite of tools designed to revolutionize the workflow surrounding Large Language Models (LLMs).

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This is How Experts Predict the Future of AI

Analytics Vidhya

AI has become a teacher, guide, friend and even more to people worldwide. Holding answers to almost every question and the ability to ‘think’, it has astonishingly even passed multiple exams curated to identify the human mindset and thought process. The AI revolution is here! But will it last, or will another human innovation tread […] The post This is How Experts Predict the Future of AI appeared first on Analytics Vidhya.

AI 330
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Elon Musk works on a ChatGPT competitor codenamed “TruthGPT”

Dataconomy

Elon Musk gave new information about his much-rumored competitor to ChatGPT on Monday during an interview on Fox News Channel’s Tucker Carlson Tonight. He called it TruthGPT, and it is an AI platform that is meant to compete with products from Microsoft and Google. You can watch the full interview below.

AI 184
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Win a NVIDIA GPU with KDnuggets Blog Writing Contest

KDnuggets

KDnuggets and NVIDIA are announcing a blog-writing contest with a GPU focus, with the winner receiving an RTX 3080 Ti GPU!

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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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How Machine Learning is Cleaning Up Medical Records

insideBIGDATA

In this contributed article, Dr. Oleg Bess, practicing physician and CEO of 4medica, discusses how machine learning is doing great things in medicine, including improving medical diagnosis and drug manufacturing. It’s also improving healthcare in another way that doesn’t earn headlines but is at the core of care delivery: eliminating duplicate patient records, and providing high-quality data for patients and providers.

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Microsoft Integrates ChatGPT into Windows OS for Enhanced AI Experience

Analytics Vidhya

Microsoft has announced its plans to integrate ChatGPT, one of the most advanced language models, into Windows 10 and 11 via PowerToys, its open-source tool. The integration will allow users to interact with the language model in natural language, including asking questions and receiving responses. This move comes after the recent announcement of the taskbar […] The post Microsoft Integrates ChatGPT into Windows OS for Enhanced AI Experience appeared first on Analytics Vidhya.

AI 328
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World’s largest battery maker announces major breakthrough in energy density

Hacker News

"A new era of universal electrification of sea, land and air transportation." CATL announces new battery that doubles energy intensity. The post World’s largest battery maker announces major breakthrough in energy density appeared first on The Driven.

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Explore LLMs Easily on Your Laptop with openplayground

KDnuggets

Use simple UI to experiment with various renowned large language models.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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The Commoditization of Models Will Fuel The Next Generation of AI-Native Startups

insideBIGDATA

In this special guest feature, CTO of AI startup, OctoML, Jared Roesch, believes the result of the commoditization of models is that it will fuel AI-Native experiences that transform how we interact with technology at every level.

AI 395
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The End of the Giant AI Models Era: OpenAI CEO Warns Scaling Era Is Over

Analytics Vidhya

OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits. The OpenAI’s CEO, Sam Altman, said during an event held at the Massachusetts Institute of Technology that future advances would no longer […] The post The End of the Giant AI Models Era: OpenAI CEO Warns Scaling Era Is Over appeared first on Analytics Vidhya.

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Brain images just got 64 million times sharper

Hacker News

Magnetic resonance imaging (MRI) is how we visualize soft, watery tissue that is hard to image with X-rays. But while an MRI provides good enough resolution to spot a brain tumor, it needs to be a lot sharper to visualize microscopic details within the brain that reveal its organization.

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The path from PDF to ChatGPT is challenging but worth the effort

Dataconomy

As people start to use ChatGPT more in their business, “How to upload a PDF to ChatGPT” becomes a question that people often ask.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.