Mon.Jun 12, 2023

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Heard on the Street – 6/12/2023

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 396
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Scan & Check Out These Cool AI-Generated QR Codes

Analytics Vidhya

In the realm of artificial intelligence (AI) art, we have witnessed mind-boggling advancements, ranging from eerily realistic deepfake videos to awe-inspiring album covers. However, amidst these extraordinary innovations, one recent development is turning heads and capturing imaginations: AI-generated QR codes. Despite their seemingly mundane purpose, these QR codes have evolved into mesmerizing works of art […] The post Scan & Check Out These Cool AI-Generated QR Codes appeared first

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How to Optimize SQL Queries for Faster Data Retrieval

KDnuggets

Today, we’ll talk about why SQL query optimization is important and which techniques can be used to optimize it.

SQL 355
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Cyber Security vs. Data Science: Which is a Better Career Option?

Analytics Vidhya

Cybersecurity and data science have emerged as powerhouses in today’s quickly changing digital landscape, bringing exciting career prospects and the ability to have a substantial effect. Professionals with expertise in these fields are in high demand as businesses need help to preserve their sensitive data and capitalize on big data’s promise.

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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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OpenAI’s Approach to AI Safety

KDnuggets

What will happen with safety approaches in AI systems after OpenAI’s CEO Sam Altman testified about the concerns around new technology?

AI 294
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Discover Faster Sorting Algorithms with DeepMind’s AlphaDev

Analytics Vidhya

Algorithms are the backbone of modern technology, driving everything from data analysis to optimization. They provide step-by-step instructions to computers and software, enabling efficient and consistent performance across various domains. Sorting and searching algorithms, in particular, are widely used by students and programmers alike. While human intuition has been instrumental in algorithm development, optimizing their […] The post Discover Faster Sorting Algorithms with DeepMind̵

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More Trending

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Google Secure AI Framework: Safeguarding the Future of Artificial Intelligence

Analytics Vidhya

Google, a pioneer in technological innovation, has introduced the Secure AI Framework (SAIF) to address the critical need for security standards in the realm of artificial intelligence. With AI’s vast potential, especially generative AI, it is imperative to establish industry-wide guidelines for responsibly building & deploying AI systems.

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Lakehouse Orchestration with Databricks Workflows

databricks

Organizations across industries are adopting the lakehouse architecture and using a unified platform for all their data, analytics and AI workloads. When moving.

Analytics 230
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Tech Mahindra CEO Accepts Sam Altman’s AI Challenge

Analytics Vidhya

In a recent turn of events, OpenAI CEO Sam Altman stirred up a discussion about India’s potential to develop an AI tool similar to ChatGPT. While Altman expressed doubts about Indian companies competing with OpenAI in training foundation models, Tech Mahindra CEO CP Gurnani promptly accepted the challenge. This clash of perspectives has ignited excitement […] The post Tech Mahindra CEO Accepts Sam Altman’s AI Challenge appeared first on Analytics Vidhya.

AI 301
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Pega Autonomous Enterprise Vision Driven By Low-Code With Infinity ’23

Adrian Bridgwater for Forbes

Pega is working towards the 'autonomous enterprise' where firms can rely upon software that works & updates autonomously & lets business operations to run autonomously.

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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 Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence. In this article, we explore Tajinder’s inspiring success story.

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Debug your code and notebooks by using Visual Studio Code

databricks

Earlier this year we launched the official Databricks extension for Visual Studio Code. Today we are adding support for interactive debugging and local.

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Millions gathered to protest Reddit’s latest modifications but will it work?

Dataconomy

The Reddit API protest started recently, and users are taking down their Subreddits to protest the website’s high-price policy and other changes that are on the way. Today, we will explain the protest’s details and talk about the Subreddits going dark list. Thousands of Reddit groups, commonly called subreddits, will go black from June 12 to June 14 in protest of upcoming API changes that will basically kill off many third-party applications.

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The AI feedback loop: Researchers warn of ‘model collapse’ as AI trains on AI-generated content

Flipboard

The age of generative AI is here: only six months after OpenAI‘s ChatGPT burst onto the scene, as many of half the employees of some leading global companies are already using this type of technology in their workflows, and many other companies are rushing to offer new products with generative AI …

AI 182
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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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Large Language Models in Communications

databricks

The communications industry is undergoing a transformative shift – from utility to value added service provider – and data and AI is at the.

AI 172
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The US Is Openly Stockpiling Dirt on All Its Citizens

Hacker News

A newly declassified report from the Office of the Director of National Intelligence reveals that the federal government is buying troves of data about Americans.

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Snorkel AI looks beyond data labeling for generative AI

Flipboard

Data labeling has long been a critical component of helping data scientists to prepare data for machine learning (ML) and artificial intelligence (AI). In the modern era of Generative AI, the role of data labeling is changing.

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The Semiconductor Industry’s Most Important Tool Goes Green

Hacker News

In the complex quest to keep increasing the density of transistors , extreme ultraviolet (EUV) lithography is the most critical tool. Costing more than US $100 million, these trailer-size systems bounce near x-ray wavelength light off of a complex cascade of mirrors and onto silicon wafers to create patterns with nanometer-scale precision. Because the system’s 13.5-nanometer light is absorbed by air, the whole mechanism exists in a vacuum.

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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 Databricks Lakehouse Platform for Cybersecurity Applications

databricks

Visit the GitHub reo for the IOC matching solution accelerator. Or, we can help you with a Proof-of-Concept (POC), so contact us at.

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Xerox scanners randomly alter numbers in scanned documents (2013)

Hacker News

Xerox scanners/photocopiers randomly alter numbers in scanned documents Please see the „condensed time line“ section (the next one) for a time line of how the Xerox saga unfolded. It for example depicts that I did not push the thing to the public right away, but gave Xerox a lot of time before I did so.

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Meta open sources an AI-powered music generator

Flipboard

Not to be outdone by Google, Meta has released its own AI-powered music generator — and, unlike Google, open-sourced it. Called MusicGen, Meta’s music-generating tool, a demo of which can be found here, can turn a text description (e.g.

AI 158
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Melange 1.0: Compile OCaml / ReasonML to JavaScript

Hacker News

Hey folks, this is a special one. Melange 1.0 The Melange team and I are thrilled to announce the release of Melange 1.0 today, marking a major milestone in.

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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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Oracle founder Larry Ellison confirms new gen AI service with Cohere during earnings call

Flipboard

Oracle Corp., the software giant known for its database technology, is joining the chorus of enterprise cloud vendors betting big on generative AI services.

Database 167
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US Patent Office proposes rule to make it much harder to kill bad patents

Hacker News

So, this is bad. Over the last few years, we’ve written plenty about the so-called “inter partes review” or “IPR” that came into being about a decade ago as part of the “America Invents Act,” which was the first major change to the patent system in decades.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. The key differentiator? They trained it on 100x the amount of data.

AI 145
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US Rural Hospital Closures Since 2005

Hacker News

194 Rural Hospital Closures and Conversions since January 2005 99 complete closures* + 5 REH conversions** + 90 converted closures 151 closures and conversions since 2010 76 complete closures* + 5 REH conversions** + 70 converted closures * facilities no longer provide health care services ** facilities no longer provide in-patient services, but convert to.

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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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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. The key differentiator? They trained it on 100x the amount of data.

AI 141
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The Cargo Cult of the Ennui Engine

Hacker News

In the years following World War II, a curious practice arose amongst the island-dwelling people of Melanesia: After cladding themselves…

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Why Elon Musk and Other Tech Experts Are Worried About Artificial Intelligence

Flipboard

In the emerging AI era, notable tech figures celebrate the technology's astounding capabilities while other companies fiercely compete in the AI market. Yet, as businesses struggle to adapt, many tech experts voice concerns about AI's potential pitfalls.

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Remains of an extinct world of organisms discovered

Hacker News

Newly discovered biomarker signatures point to a whole range of previously unknown organisms that dominated complex life on Earth about a billion years ago. They differed from complex eukaryotic life as we know it, such as animals, plants and algae in their cell structure and likely metabolism, which was adapted to a world that had far less oxygen in the atmosphere than today.

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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.