Wed.Jul 26, 2023

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Heard on the Street – 7/26/2023

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 370
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A Comprehensive Guide on ‘How to Deal with Sparse Datasets?’

Analytics Vidhya

Introduction Have you ever seen a dataset that contains almost all null values? If so, you are not by yourself. One of the most frequent issues in machine learning is sparse datasets. Several factors, like inadequate surveys, sensor data with missing readings, or text with missing words, can lead to their existence. When trained on […] The post A Comprehensive Guide on ‘How to Deal with Sparse Datasets?

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Generative AI Report: ServiceNow, NVIDIA, and Accenture Team to Accelerate Generative AI Adoption for Enterprises

insideBIGDATA

Welcome to the Generative AI Report, a new feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it would be a timely service for readers to start a new channel along these lines.

AI 369
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OpenAI’s AI Detection Tool Fails to Detect 74% of AI-Generated Content

Analytics Vidhya

OpenAI, the maker of the revolutionary generative AI chatbot ChatGPT, recently made headlines by discontinuing its AI classifier tool. Designed to differentiate between human and AI-generated writing, the tool’s low accuracy rate prompted the decision. In this article, we delve into the implications of this development, exploring its impact on misinformation, education, and OpenAI’s ongoing […] The post OpenAI’s AI Detection Tool Fails to Detect 74% of AI-Generated Conten

AI 253
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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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Dialpad’s “The State of AI at Work” Report Reveals 70% of Sales and Customer Service Professionals Don’t Fear That AI Will Steal Their Job

insideBIGDATA

Dialpad — a leading AI-Powered Customer Intelligence Platform — announced findings from its 2023 Dialpad The State of AI at Work Report. Key findings reveal how sales and customer service professionals, across industries, are adopting artificial intelligence (AI) while breaking down the barriers to adoption including lack of budget and the importance of developing ethical guidelines and enhancing accessibility.

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OpenAI Teases Open-Source GPT Model Release

Analytics Vidhya

OpenAI, a pioneering force in artificial intelligence, is creating waves in the tech community by potentially releasing its open-source GPT model. Though no official announcement has been made, OpenAI’s prominent figure, Andrej Karpathy, has hinted at the possibility of making GPT-3.5 available to the public. This article delves into the exciting developments and implications of […] The post OpenAI Teases Open-Source GPT Model Release appeared first on Analytics Vidhya.

More Trending

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GANs in Vogue | A Step-by-Step Guide to Fashion Image Generation

Analytics Vidhya

Introduction This article will explore Generative Adversarial Networks (GANs) and their remarkable ability to fashion image generation. GANs have revolutionized the field of generative modeling, offering an innovative approach to creating new content through adversarial learning. Throughout this guide, we will take you on a captivating journey, starting with the foundational concepts of GANs and […] The post GANs in Vogue | A Step-by-Step Guide to Fashion Image Generation appeared first on

Analytics 251
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Patient Disease Risk Prediction with Lakehouse

databricks

All healthcare is personal. Individuals have different underlying genetic predispositions, environmental exposures, and past medical histories, not to mention different propensities to engage.

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OpenAI’s Trust & Safety Head Resigns: What Is the Impact on ChatGPT?

Analytics Vidhya

A major change is underway at OpenAI, the trailblazing artificial intelligence company that introduced the world to generative AI through innovations like ChatGPT. In a recent announcement on LinkedIn, Dave Willner, the head of trust and safety at OpenAI, revealed that he has stepped down from his role and will now serve in an advisory […] The post OpenAI’s Trust & Safety Head Resigns: What Is the Impact on ChatGPT?

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Unlock the Power of AI – A Special Release by KDnuggets and Machine Learning Mastery

KDnuggets

We are excited to announce a collaboration between Machine Learning Mastery and KDnuggets, our brand new ebook, "Maximizing Productivity with ChatGPT," to enrich your Machine Learning journey.

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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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CatBoost: A Solution for Building Model with Categorical Data

Analytics Vidhya

Introduction If enthusiastic learners want to learn data science and machine learning, they should learn the boosted family. There are a lot of algorithms that come from the family of Boosted, such as AdaBoost, Gradient Boosting, XGBoost, and many more. One of the algorithms from Boosted family is a CatBoost algorithm. CatBoost is a machine […] The post CatBoost: A Solution for Building Model with Categorical Data appeared first on Analytics Vidhya.

Algorithm 246
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KDnuggets News, July 26: Free Generative AI Training from Google • Data Engineering Beginner’s Guide • GPT-Engineer: Your New AI Coding Assistant

KDnuggets

Free Generative AI Training from Google • Data Engineering Beginner’s Guide • GPT-Engineer: Your New AI Coding Assistant • GPT-4 Details Have Been Leaked!

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An Overview of Variational Autoencoders

Analytics Vidhya

Introduction Variational Autoencoders (VAEs) are generative models explicitly designed to capture the underlying probability distribution of a given dataset and generate novel samples. They utilize an architecture that comprises an encoder-decoder structure. The encoder transforms input data into a latent form, and the decoder aims to reconstruct the original data based on this latent representation. […] The post An Overview of Variational Autoencoders appeared first on Analytics Vidhya.

Analytics 243
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Clustering Unleashed: Understanding K-Means Clustering

KDnuggets

Learn how to find hidden patterns and extract meaningful insights using Unsupervised Learning with the K-Means clustering algorithm.

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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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head () and tail () Functions Explained with Examples and Codes

Analytics Vidhya

The head and tail functions are essential data analysis and programming tools, notably in the context of Python’s popular pandas package. This article deeply delves into the head and tail functions, with illustrated code examples in Python, R, and other related programming languages, demonstrating their importance in diverse data analysis contexts.

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7 ChatGPT scams to look out for

Dataconomy

With the rise of artificial intelligence, we’re now encountering the unexpected reality of the ChatGPT scam. This groundbreaking AI tool, OpenAI’s ChatGPT, has swept the globe, revolutionizing the way we interact online. Yet, the same features that make it appealing to billions are being exploited by cybercriminals in new and worrying ways.

AI 172
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Shopify Employee Exposes AI-driven Layoffs and Customer Service Crisis

Analytics Vidhya

In a shocking revelation on Twitter, a courageous Shopify employee has broken their non-disclosure agreement (NDA) to shed light on the company’s controversial actions and strategic direction. The thread exposed a series of events that began with promises of job security, only to witness massive layoffs later. What unfolded was not just a CEO’s misguided […] The post Shopify Employee Exposes AI-driven Layoffs and Customer Service Crisis appeared first on Analytics Vidhya.

AI 207
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Who is the winner of the Pixel War in r/place 2023?

Dataconomy

In the most recent wave of digital expression, the r/place final image 2023, also knows as the Pixel War, unfolded a mesmerizing tableau of pixel art, reflecting a rich spectrum of internet culture. The experiment captivated an international audience, rallying Redditors across the globe. Painting a vivid picture of this pixel war, we’ll delve into the origins of the project, explore its evolution, and ultimately reveal the victors who claimed their spots on the r/place final image 2023.

Tableau 172
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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 Get a Personalized Data Science Roadmap?

Analytics Vidhya

Personalized Data Science Roadmap: importance, definition, step by step learning roadmap, syllabus, data science curriculum and more.

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Yesterday’s small chatbots are today’s mighty entrepreneurs

Dataconomy

Natural Language Processing (NLP) is an exciting technology that enables computers to understand and analyze human language. But how about NLP for contracts? Can you rely on them for multi-million agreements? When applied to contracts, NLP can simplify and enhance various aspects of contract management. By using NLP tools, businesses can save time and effort in drafting and reviewing contracts, leading to more efficient processes.

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The Intersection of Cybersecurity and Sustainability: A Data-Driven Approach

Data Science Connect

In a rapidly digitizing world, the importance of both cybersecurity and sustainability is undeniable. While these two concepts may seem unrelated at first glance, a recent article on MakeUseOf highlights the fascinating link between cybersecurity and sustainability. This article delves into the data-driven approach that showcases how cybersecurity measures can significantly contribute to achieving sustainability goals.

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5 Mistakes I Made While Switching to Data Science Career

KDnuggets

Learn from my mistakes and avoid making the same mistakes.

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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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The Future of Telecommunications: The Global Impact of the Internet of Things (IoT)

Data Science Connect

In the fast-paced world of technology, one concept has been making waves and transforming the telecommunications landscape: the Internet of Things (IoT). With the increasing connectivity of everyday objects, the IoT is revolutionizing industries and changing the way we interact with technology. A recent article on Fagenwasanni.com explores the global implications of this phenomenon and how it is reshaping the future of telecommunications.

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Treat your CI system as a product for faster and better feedback

Hacker News

Improving the feedback time of a continuous integration (CI) system and optimizing the test methods and classes resulted in more effective feedback for development teams. CI systems are an important part of the development process and should be treated as such.

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Impact of Low-Code/No-Code Platforms on Cost and Agility of App Development

Data Science Connect

In the ever-evolving landscape of technology, the marriage of blockchain and gaming is emerging as a groundbreaking force in the world of digital entertainment. The seamless integration of blockchain technology into the gaming industry has opened up new possibilities, revolutionizing the way games are developed, played, and monetized. As data scientists, understanding the potential of this new frontier is essential, as it presents a wealth of opportunities and challenges.

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Google Med-Palm M: Towards Generalist Biomedical AI

Hacker News

Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly encode, integrate, and interpret this data at scale can potentially enable impactful applications ranging from scientific discovery to care delivery. To enable the development of these models, we first curate MultiMedBench, a new multimodal biomedical benchmark.

AI 123
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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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ServiceNow partners with Nvidia and Accenture on ‘AI Lighthouse’ for rapid enterprise AI adoption

Flipboard

Lighthouses are one of humanity’s most enchanting inventions — though they’ve been obsoleted as important seafaring navigation guides by boats equipped with global positioning system (GPS) receivers, remaining lighthouses still attract tourists, history buffs, photographers, and other people …

AI 123
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Kids Online Safety Act is still a danger to our rights online

Hacker News

Congress has resurrected the Kids Online Safety Act (KOSA), a bill that would increase surveillance and restrict access to information in the name of protecting children online. KOSA was introduced in 2022 but failed to gain traction, and today its authors, Sens. Richard Blumenthal (D-CT) and.

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Montreal startup HumanFirst raises $5M to transform organizations’ conversational data into no-code AI agents

Flipboard

Imagine you run a customer service desk at a company. You quickly notice that your employees spend a good chunk of their day answering the same questions from different customers.

AI 116
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Study shows glyphosate impairs learning in bumblebees

Hacker News

What impacts do agrochemicals have on the ongoing global insect decline? Biologists at the University of Konstanz have found out that aversive learning is impaired in bumblebees exposed to glyphosate. Their study is published in the journal Science of the Total Environment.

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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.