Mon.May 01, 2023

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Chatbot Evolution: ChatGPT Vs. Rule-based

Analytics Vidhya

Introduction Chatbots have become an integral part of the digital landscape, revolutionizing the way businesses interact with their customers. From customer service to sales, virtual assistants to voice assistants, chatbot evolution has taken place in everyday lives and in the way companies communicate with their users. The technological capabilities of chatbots have improved over time, […] The post Chatbot Evolution: ChatGPT Vs.

Analytics 363
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ICLR 2023 Paper Award Winners

insideBIGDATA

The International Conference on Learning Representations (ICLR), the premier gathering of professionals dedicated to the advancement of the many branches of artificial intelligence (AI) and deep learning—announced 4 award-winning papers, and 5 honorable mention paper winners.

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Geoffrey Hinton, Godfather of AI Leaves Google, Warns of Potential Dangers Ahead

Analytics Vidhya

Geoffrey Hinton, a pioneer in artificial intelligence (AI) referred to as “the Godfather of AI,” has left Google. He has joined a growing chorus of critics warning of the potential dangers of AI systems. In an interview last week, Dr. Hinton expressed concerns about the technology at the heart of chatbots like ChatGPT and warned […] The post Geoffrey Hinton, Godfather of AI Leaves Google, Warns of Potential Dangers Ahead appeared first on Analytics Vidhya.

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Top 10 Python packages you need to master to maximize your coding productivity

Data Science Dojo

Python is a powerful and versatile programming language that has become increasingly popular in the field of data science. One of the main reasons for its popularity is the vast array of libraries and packages available for data manipulation, analysis, and visualization. 10 Python packages for data science and machine learning In this article, we will highlight some of the top Python packages for data science that aspiring and practicing data scientists should consider adding to their toolbox.

Python 329
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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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HuggingGPT: The Secret Weapon to Solve Complex AI Tasks

KDnuggets

Get ready to discover the next big thing in AI with HuggingGPT. Read this article to develop an understanding of how it works and how it handles complex AI tasks.

AI 349
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Emerging Trends in AI and ML in 2023 & Beyond

Analytics Vidhya

Introduction You call artificial intelligence and machine learning magic. Your friend, on the contrary, deems it as just another revolution – devouring some jobs, flooding with a double of new jobs. While this debate continues in the chorus, PwC’s global AI study says that the global economy will see a boost of 14% in GDP […] The post Emerging Trends in AI and ML in 2023 & Beyond appeared first on Analytics Vidhya.

ML 272

More Trending

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Research Reveals Hidden Data Integration and Governance Challenges

insideBIGDATA

StreamSets, a Software AG company, unveiled two reports highlighting the need for modern data integration: “Creating Order from Chaos: Governance in the Data Wild West,” and “Lifting the Lid on the Hidden Data Integration Problem.” This new research shows a widespread lack of data processes and policies among organizations, rising demand for data, and why many organizations fail to use the data at their disposal.

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Schedule & Run ETLs with Jupysql and GitHub Actions

KDnuggets

This blog provided you with a comprehensive overview of ETL and JupySQL, including a brief introduction to ETLs and JupySQL. We also demonstrated how to schedule an example ETL notebook via GitHub actions, which allows you to automate the process of executing ETLs and JupySQL from Jupyter.

ETL 276
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Replit Raises $97.4 M to Expand AI-Powered Software Development Platform

Analytics Vidhya

Replit is a software development platform that enables developers to set up development environments and release fully functional live apps in seconds. It has recently raised $97.4 million at a $1.16 billion post-money valuation. The company boasts over 22.5 million developers globally. It plans to use the new funding to support its core development experience. […] The post Replit Raises $97.4 M to Expand AI-Powered Software Development Platform appeared first on Analytics Vidhya.

AI 254
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Top Posts April 24-30: AutoGPT: Everything You Need To Know

KDnuggets

AutoGPT: Everything You Need To Know • Data Visualization Best Practices & Resources for Effective Communication • 8 Open-Source Alternative to ChatGPT and Bard • Baby AGI: The Birth of a Fully Autonomous AI • LangChain 101: Build Your Own GPT-Powered Applications

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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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Godfather of AI Leaves Google, Warns of Potential Dangers Ahead

Analytics Vidhya

Geoffrey Hinton, a pioneer in artificial intelligence (AI) referred to as “the Godfather of AI,” has left Google. He has joined a growing chorus of critics warning of the potential dangers of AI systems. In an interview last week, Dr. Hinton expressed concerns about the technology at the heart of chatbots like ChatGPT and warned […] The post Godfather of AI Leaves Google, Warns of Potential Dangers Ahead appeared first on Analytics Vidhya.

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Top 10 Python packages you need to master to maximize your coding productivity

Data Science Dojo

Python is a powerful and versatile programming language that has become increasingly popular in the field of data science. One of the main reasons for its popularity is the vast array of libraries and packages available for data manipulation, analysis, and visualization. 10 Python packages for data science and machine learning In this article, we will highlight some of the top Python packages for data science that aspiring and practicing data scientists should consider adding to their toolbox.

Python 195
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Dropbox Lays off 500 Employees as an Effect of Artificial Intelligence

Analytics Vidhya

Dropbox is a leading cloud storage company based in San Francisco. It has announced that it will lay off roughly 500 employees, or 16% of its workforce. This will be due to worsening economic conditions and significant technological developments. The move has sparked concerns about the impact of artificial intelligence on the job market. Dropbox’s […] The post Dropbox Lays off 500 Employees as an Effect of Artificial Intelligence appeared first on Analytics Vidhya.

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Securing Databricks cluster init scripts

databricks

This blog was co-authored by Elia Florio, Sr. Director of Detection & Response at Databricks and Florian Roth and Marius Bartholdy, security researchers.

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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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RSA Conference 2023 Overview: AI Takes Center Stage in Cybersecurity

Analytics Vidhya

Last week, April 24-27, saw the annual RSA Conference (RSAC) 2023 in San Francisco. Artificial intelligence (AI) was a new subject at RSAC this year. Furthermore, this is unsurprising considering the recent focus on generative AI, particularly ChatGPT. The use of AI in cybersecurity is equally challenging, but generative AI provides some fascinating problems regarding […] The post RSA Conference 2023 Overview: AI Takes Center Stage in Cybersecurity appeared first on Analytics Vidhya.

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Understanding Central Tendency

KDnuggets

Learn the basics of important metrics used for measuring central tendency.

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Acceleration Unlocked: DS3_v2 Instance Types on Azure now supported by Photon

databricks

At Databricks, we offer maximal flexibility for choosing compute for ETL and ML/AI workloads. Staying true to the theme of flexibility, we announce.

ETL 172
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AI makes non-invasive mind-reading possible by turning thoughts into text

Flipboard

An AI-based decoder that can translate brain activity into a continuous stream of text has been developed, in a breakthrough that allows a person’s thoughts to be read non-invasively for the first time.

AI 182
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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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The Role Data Plays in HR Analytics

Data Science Blog

Data analytics in HR can help businesses make informed decisions for hiring, promotion and digital transformation. While human resources is typically considered a “soft” discipline, information can reveal invaluable insights that help professionals deliver tangible improvements. What role does data play in HR analytics and success? The Value of Data in HR Data is crucial for the success of HR analytics tools.

Analytics 147
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This company adopted AI. Here's what happened to its human workers.

Flipboard

Lately, it's felt like technological change has entered warp speed. Companies like OpenAI and Google have unveiled new Artificial Intelligence systems with incredible capabilities, making what once seemed like science fiction an everyday reality.

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Brain activity of dying people shows signs of near-death experiences

Hacker News

High-frequency brainwaves in specific regions of the brain are thought to be a hallmark of consciousness and memory retrieval – now they have been recorded in two people as they died01

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Sal Khan: The amazing AI super tutor for students and teachers

Flipboard

Sal Khan, the founder and CEO of Khan Academy, thinks artificial intelligence could spark the greatest positive transformation education has ever …

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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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Visualizing new ways to protect sharks with data and analytics

SAS Software

Where do hammerhead sharks go at night? And perhaps more importantly, why? Research Scientist and Professor Alex Hearn of the Galapagos Science Center hoped that a team of SAS analytics volunteers would be able to answer that by analyzing data he has collected over nearly two decades. The project is [.

Analytics 145
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Machine Learning with ChatGPT Cheat Sheet

Flipboard

Have you thought of using ChatGPT to help augment your machine learning tasks? Check out our latest cheat sheet to find out how.

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Overlay a curve on a histogram in SAS

SAS Software

In a previous article, I showed how to overlay a density estimate on a histogram by using the Graph Template Language (GTL). However, a SAS programmer asked how to overlay a curve on a histogram when the curve is not a density estimate. In this case, the vertical axis for [.] The post Overlay a curve on a histogram in SAS appeared first on SAS Blogs.

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AI might enable us to talk to animals soon. Here's how

Flipboard

As large language models become experts at human speech, they're now shifting their focus to animal communication.

AI 181
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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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How to get certified as a business analyst?

Dataconomy

Obtaining a certification as a Certified Business Analysis Professional (CBAP) can prove to be a valuable asset for career advancement. The International Institute of Business Analysis (IIBA®) recognizes CBAPs as authoritative figures in identifying an organization’s business needs and formulating effective business solutions. As primary facilitators, CBAPs act as intermediaries between clients, stakeholders, and solution teams, thus playing a crucial role in the success of projects.

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In Conversation with ChatGPT: Can AI Design a Building?

Flipboard

© Alya Rahmoun MidJourney “Can you help me design my residential tower? It's 30 stories and located in Brooklyn, New York.” ChatGPT ’s response may be surprising. Given that the bot has no architectural experience, and is certainly not a licensed architect, it was quick to rattle off a list of considerations for my building. Zoning codes, floor plan functionality, building codes , materiality, structural design, amenity spaces, and sustainable measures were just a few of the topics ChatGPT share

AI 127
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What policymakers need to know about foundation models

IBM Journey to AI blog

The last few years—even the last few months—have seen artificial intelligence (AI) breakthroughs come at a dizzying pace. AI that can generate paragraphs of text as well as a human, create realistic imagery and video from text, or perform hundreds of different tasks has captured the public’s attention. People see AI’s high level of performance, creative potential and, in some cases, the ability for anyone to use them with little to no technical expertise.

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College Students Came Up With a Way to Make ChatGPT Not Evil

Flipboard

The dream of smart glasses—eyewear capable of ushering in a new era of augmented reality (AR)—has been around for at least a decade. Back in 2013, Google unleashed its AR headset that looked more like a Star Trek-inspired visor than something you’d expect to be adorning your face.

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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.