Thu.Apr 20, 2023

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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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Unveiling the Potential of CTGAN: Harnessing Generative AI for Synthetic Data

KDnuggets

CTGAN and other generative AI models can create synthetic tabular data for ML training, data augmentation, testing, privacy-preserving sharing, and more.

ML 397
professionals

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Student Gets 94% in 72 Hours Using ChatGPT

Analytics Vidhya

Since its debut in November of last year, ChatGPT, a popular chatbot developed by OpenAI, has been the focus of considerable discussion. The ongoing controversy is fueled by a recent account of a student who utilized an AI chatbot to finish 12 weeks of study in only a few hours and receive a 94 on […] The post Student Gets 94% in 72 Hours Using ChatGPT appeared first on Analytics Vidhya.

Analytics 303
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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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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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Bring Doodles to Life: Meta Open-Sources AI Model

Analytics Vidhya

Meta has recently open-sourced an artificial intelligence (AI) project designed to transform drawings and doodles into animations. By making the project open-source, Meta aims to encourage developers to contribute to the project. Additionally, this will expand its capabilities and add new features. Also Read: Meta to Commercialize Generative AI by December Meta’s Animated Drawing Tool: […] The post Bring Doodles to Life: Meta Open-Sources AI Model appeared first on Analytics Vidhya.

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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.

More Trending

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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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A UI-Web Framework for Python Known as Flet

Analytics Vidhya

Introduction Python is becoming increasingly popular due to its rich Frameworks and Open Source Community availability. It has already entered the website space through the Frameworks like Django and Flask. and there are Frameworks like PyQt, and Tkinter, for Desktop UI, etc. Developers require significant time to learn these Frameworks. But what if there is one such […] The post A UI-Web Framework for Python Known as Flet appeared first on Analytics Vidhya.

Python 294
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Building Data Applications on the Lakehouse With the Databricks SQL Driver for GO

databricks

We are excited to announce the general availability of the Databricks SQL Driver for GO. This follows the recent general availability of Databricks.

SQL 200
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Stability AI’s StableLM to Rival ChatGPT in Text and Code Generation

Analytics Vidhya

Expanding the AI Horizon: Introducing StableLM Stability AI, the company behind the innovative AI image generator Stable Diffusion, is now open-sourcing its language model, StableLM. Rivaling StableLM is designed to compete with ChatGPT’s capabilities for efficiently generating text and code. It is extensively trained on the open-source dataset known as the Pile.

AI 283
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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 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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Decode Meta AI’s Tool for Animating Children’s Drawings

Analytics Vidhya

Boring drawings are a thing of the past! Get ready to unleash your child’s creativity like never before. In this blog, we reveal an exciting breakthrough method for animating your child’s drawings of the human figure. Say goodbye to static art and hello to dynamic animations! We’ll provide a concise summary of Meta AI’s research […] The post Decode Meta AI’s Tool for Animating Children’s Drawings appeared first on Analytics Vidhya.

Analytics 281
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Building Data Applications on the Lakehouse With the Databricks SQL Driver for Node.js

databricks

We are excited to announce the general availability of the Databricks SQL Driver for NodeJS. This follows the recent general availability of Databricks.

SQL 175
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Revolutionizing Virtual Assistant Interactions: PRESTO Dataset Tackles Multilingual NLU Challenges

Analytics Vidhya

Researchers from Google, the University of Rochester, the University of California, and Columbia University have unveiled a groundbreaking PRESTO dataset. This dataset consists of more than 550,000 multilingual conversations between humans and virtual assistants. It is designed to facilitate more realistic model training. The dataset aims to optimize language model performance by addressing numerous […] The post Revolutionizing Virtual Assistant Interactions: PRESTO Dataset Tackles Multi

Analytics 277
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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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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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Cracking the GCP Interview: Tips and Common Questions

Analytics Vidhya

Introduction Suppose you are appearing in an interview for the GCP beginner role. In that case, it’s important to have a basic understanding of the Google Cloud Platform. Also, it must have the quality to communicate with the team in deployment and communicate effectively with a technical and non-technical persons. So, in this article, you […] The post Cracking the GCP Interview: Tips and Common Questions appeared first on Analytics Vidhya.

Analytics 251
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When you realize your favorite new song was written and performed by. AI

Flipboard

Music fans responded with disbelief this week to the release on streaming and social media platforms of the viral song "Heart on My Sleeve.

AI 181
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How to Build a Machine Learning Model to Distinguish If It’s Human or ChatGPT?

Analytics Vidhya

Introduction Have you ever wondered how to tell if a text was written by a human or an AI? Do you think you could tell the difference? ‘Can you tell me about the history of the Kohinoor (Koh-i-Noor) Diamond?’ Try to guess who generated this question: A human or an AI. With the advances in natural […] The post How to Build a Machine Learning Model to Distinguish If It’s Human or ChatGPT?

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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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Launching a New Files Experience for the Databricks Workspace

databricks

Today, we are excited to announce the general availability of files throughout the Databricks workspace. Files support allows Databricks users to store Python.

Python 130
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Data Modeling Interview Questions

Analytics Vidhya

Introduction Data is revamping the way businesses work. After all, it is all about the various facts and figures that help organizations design their strategies. However, large data repositories require a professional to simplify, express and create a data model that can be easily stored and studied. And here comes the role of a Data […] The post Data Modeling Interview Questions appeared first on Analytics Vidhya.

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This new technology could blow away GPT-4 and everything like it

Flipboard

The Hyena code is able to handle amounts of data that make GPT-style technology run out of memory and fail.

AI 181
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How Smart Buildings Use Data to Help Businesses Cut Costs

Smart Data Collective

There are many ways businesses are using big data to make better decisions and operate more efficiently Organizations can use big data to optimize expenses and reduce costs. A modern data infrastructure can help get more value from data by accelerating decision making, simplifying operations, and powering analytics. One of the many ways big data is helping companies operate more cost-effectively is through the construction of smart buildings.

Big Data 130
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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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How Does Artificial Intelligence Perceive the Contemporary Home? Different Perspectives from 15 Countries

Flipboard

Contemporary house in Japan. Image © Ulises Design Studio (@ulises.ai) To think about how we inhabit is to think about architecture. If the primal need for shelter gave rise to the discipline, today, housing remains one of architects' most significant concerns. Providing comfort, seeking innovative materials, respecting memory, transforming culture - multiple layers intersect in a residence's design.

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Apple Makes More Fintech Moves With High-Yield Savings Account From Goldman Sachs

MoorInsights for Forbes

Vice President & Principal Analyst, Modern Work, Melody Brue, looks at Apple's recent fintech developments, their significance in the fintech ecosystem and what they mean for consumers.

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Americans think AI is someone else’s problem

Flipboard

While some are embracing AI in the workplace, there are a lot of applications that people find distasteful. | Getty Images/iStockphoto AI is coming to the workplace, but most people think it won’t affect them much. AI is probably going to affect your job. We just don’t yet know when or how much — or how to feel about it exactly. Most Americans agree that AI will have a major impact on workers in the next 20 years, and they’re more likely to say it will hurt more than help, according to a new sur

AI 126
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How To Improve AI Model Robustness in the Last Mile

ODSC - Open Data Science

Artificial intelligence (AI) and machine learning (ML) have rapidly become key drivers of business transformation. They can improve operations, reduce costs, enhance customer experience, and drive revenue growth. However, the latest innovations in ML and AI have made one thing clear: AI does not work in isolation. As AI builders, we must recognize that new ML models impact people, processes, and other technology, especially in the last mile or final stages of AI design.

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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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Bard is 'cringeworthy' and 'worse than useless' Google employees claim

Flipboard

Shortly after OpenAI launched ChatGPT, Google rolled out its own AI chatbot — Bard. Since then, the conversational AI program has made some embarrassing missteps, like when the demo gave out wrong information about the James Webb Space Telescope.

AI 120
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Following Italy’s Ban, Germany is Also Considering a Ban on ChatGPT

ODSC - Open Data Science

Following Italy’s ban of the popular chatbot, ChatGPT last week, Germany also might follow suit. This is due to the European nation’s concerns surrounding personal information and security. According to Handelsblatt newspaper , on Monday, German commissioner for data protection Ulrich Kelber mentioned that his nation could enforce a similar ban. This all comes as Italy became the first Western nation to ban the chatbot last week due to a lack of age verification and other issues.

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15 of the best MIT courses you can take online for free

Flipboard

Find free courses on Python programming, finance, business, machine learning, and more. TL;DR: You can find a wide range of free online courses from MIT on edX, meaning you can learn all about Python programming, finance, machine learning, and more without spending anything.

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Data Careers That Make a Positive Impact on the World

Smart Data Collective

Are you interested in a career in big data? As we said before, there are many careers you can go into with a degree in data science. The BLS reports that there are 113,000 data scientists in the country. That figure is growing by the year. Finding a career that you are passionate about is not an easy task in itself. Once you have finished school it is likely that your career will take up the majority of your life going forward – so it’s important to find the right one.

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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.