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 363
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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 130
professionals

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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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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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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 383
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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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More Trending

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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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PyTorch on Databricks - Introducing the Spark PyTorch Distributor

databricks

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because.

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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 400
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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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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 357
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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 279
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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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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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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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 354
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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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Explore LLMs Easily on Your Laptop with openplayground

KDnuggets

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

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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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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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Use Databricks from anywhere with Databricks Connect “v2”

databricks

We are thrilled to announce the public preview of Databricks Connect "v2", which enables developers to use the power of Databricks from any.

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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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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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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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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 343
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CNCF: Sustainable Software Projects Breed Eco-Sustainable Computing Systems

Adrian Bridgwater for Forbes

When we fail to ‘look after’ software systems - open source projects in particular - they deteriorate in terms of their ability to connect and integrate, to be robust enough to fend off malicious attacks, to align to current device form factors and to provide the core functionality which they wer.

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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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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SUSE Commits To Easier Extensibility For Cloud Containers

Adrian Bridgwater for Forbes

Because we work with cloud services that are typically set for and structured for growth, the IT industry loves to talk about expansion, the ability to scale and that most favored term of all… ‘extensibility’.

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The Base Rate Fallacy and its Impact on Data Science

KDnuggets

The base rate fallacy is the importance of considering all relevant data.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.