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Heard on the Street – 6/3/2024

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.

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Evolution of AI in Medicine with Dr. Rodolphe Katra

Analytics Vidhya

In the latest episode of the Leading with Data podcast, we had the privilege of hosting Dr. Katra, the Global VP of AI at Medtronic. Dr. Rodolphe Katra is an innovative leader with over two decades of expertise in engineering and strategic management within the medical technology sector. A pioneer in the application of AI […] The post Evolution of AI in Medicine with Dr.

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Databricks + Tabular

databricks

We are excited to announce that we have agreed to acquire Tabular, Inc, a data management company founded by Ryan Blue, Daniel Weeks.

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Building RAG Application using Cohere Command-R and Rerank – Part 2

Analytics Vidhya

Introduction In the previous article, we experimented with Cohere’s Command-R model and Rerank model to generate responses and rerank doc sources. We have implemented a simple RAG pipeline using them to generate responses to user’s questions on ingested documents. However, what we have implemented is very simple and unsuitable for the general user, as it […] The post Building RAG Application using Cohere Command-R and Rerank – Part 2 appeared first on Analytics Vidhya.

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The Project Clinic: Assessing Project Health, Planning, and Execution

Speaker: Ketan Jahagirdar

Picture your projects as patients, each with its own unique rhythm and pulse, thriving under your care 🥼 🩺 Step into the role of an innovative project doctor in our upcoming webinar! This session is your guide to evaluating the health of your projects through Waterfall and Agile practices like Scrum and Kanban. We’ll explore the vital signs of project success through the lens of the “iron triangle” metrics, using deliverables as tracers.

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5 Free Machine Learning Courses from Top Universities

Machine Learning Mastery

If you’re reading this article, I assume you already know what machine learning is. But just for a quick refresher, it’s simply making computers smart enough to do jobs that humans used to do, for example, taking attendance using facial recognition. Anyway, moving on to our main discussion, I know there are a lot of […] The post 5 Free Machine Learning Courses from Top Universities appeared first on MachineLearningMastery.com.

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Tricentis: AI-Driven Quality Engineering Will Define Software

Adrian Bridgwater for Forbes

Tricentis is a specialist in continuous testing & quality engineering, the company has expanded its developer assistant platform with a new Tricentis Tosca Copilot tool.

AI 250

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Databricks Named a Leader in The Forrester Wave™: AI Foundation Models for Language, Q2 2024

databricks

We are excited to announce that Forrester has recognized Databricks as a Leader in The Forrester Wave™: AI Foundation Models for Language, Q2.

AI 317
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Implementation of Depth First Search (DFS) Algorithm in Python

Analytics Vidhya

Introduction In depth-first search (DFS), all nodes are explored along some branch and backtracked. Think of it as being in a maze: DFS goes down one path until it reaches a dead-end before retracing its steps to take another, right? It is the same as going down, validating the tunnel, and so on for all […] The post Implementation of Depth First Search (DFS) Algorithm in Python appeared first on Analytics Vidhya.

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5 Machine Learning Models Explained in 5 Minutes

KDnuggets

Learn about the most popular machine learning models, understand how they work, and discover the best free courses to master them.

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Microsoft Will Switch Off Recall by Default After Security Backlash

Hacker News

After weeks of withering criticism and exposed security flaws, Microsoft has vastly scaled back its ambitions for Recall, its AI-enabled silent recording feature, and added new privacy features.

AI 182
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Disable Microsoft’s Recall AI feature or be ready to…

Dataconomy

You might want to disable the Microsoft Recall AI feature when it’s ready, because of several significant cybersecurity concerns that have recently come to light. These issues could potentially compromise your data security. Microsoft has refuted allegations that Recall, a feature designed to enhance system-wide searches by remembering user activities on your PC, presents a privacy threat.

Database 188
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Introducing the Open Variant Data Type in Delta Lake and Apache Spark

databricks

We are excited to announce a new data type called variant for semi-structured data. Variant provides an order of magnitude performance improvements compared.

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What is CONTAINS in SQL?

Analytics Vidhya

Introduction In SQL and database management, efficiently querying and retrieving data is paramount. Among the various tools and functions available, the CONTAINS function stands out for its capability to perform full-text searches within text columns. Unlike basic string functions, CONTAINS enables complex queries and patterns, making it a powerful asset for developers and database administrators. […] The post What is CONTAINS in SQL?

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Beginner’s Guide to Building LLM Apps with Python

KDnuggets

In this article, you will be impacted by the knowledge you need to start building LLM apps with Python programming language.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Why are debut novels failing to launch?

Hacker News

For first-time writers, it’s harder than ever to break out. That poses an existential crisis for publishing—and disturbing limits on your access to exciting new voices.

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Telegram combolists show that we are all hacked

Dataconomy

Telegram combolists have unveiled a staggering data breach, revealing that millions of accounts have been compromised. A massive collection of 361 million email addresses , sourced from credentials stolen by password-stealing malware, in credential stuffing attacks, and from data breaches, has been added to the Have I Been Pwned data breach notification service.

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Distributed ML for IoT

databricks

Introduction Today, manufacturers’ field maintenance is often more reactive than proactive, which can lead to costly downtime and repairs. Historically, data warehouses have.

ML 237
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Monitor Your File System With Python’s Watchdog

KDnuggets

Track your file system for changes, such as additions, deletions, movements, or modifications, using Python's WatchDog.

Python 266
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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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Quieting the Global Growl

Hacker News

Underwater noise from ships has gotten louder, reshaping marine ecosystems and the lives of animals that depend on sounds to eat, mate, and navigate. Can ships ever pipe down?

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Streamline custom model creation and deployment for Amazon Bedrock with Provisioned Throughput using Terraform

AWS Machine Learning Blog

As customers seek to incorporate their corpus of knowledge into their generative artificial intelligence (AI) applications, or to build domain-specific models, their data science teams often want to conduct A/B testing and have repeatable experiments. In this post, we discuss a solution that uses infrastructure as code (IaC) to define the process of retrieving and formatting data for model customization and initiating the model customization.

AWS 98
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BigQuery adds first-party support for Delta Lake

databricks

BigQuery, now with first-party support for Delta Lake, grows Delta Lake’s vibrant connector ecosystem and simplifies its integration with Databricks.

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What is a Generative Model?

Analytics Vidhya

Introduction Generative models have revolutionized the landscape of AI by enabling the creation of new, realistic data instances based on training data distributions. These models are unlike their discriminative counterparts, which focus on classifying data. Instead, they delve into how data is generated, capturing the underlying distributions and patterns.

Analytics 266
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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 Cool Kids Corner: Lifelong Learning 

Dataversity

Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. (Last month, we discussed data leadership.) This month, we’re talking about lifelong learning. In the Data Management space, what drives us to learn […] The post The Cool Kids Corner: Lifelong Learning appeared first on DATAVERSITY.

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Starship's Fourth Flight Test: Window Opens 07:00 AM Central Time

Hacker News

SpaceX designs, manufactures and launches advanced rockets and spacecraft. The company was founded in 2002 to revolutionize space technology, with the ultimate goal of enabling people to live on other planets.

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Summarize audio with LLMs in Node.js

AssemblyAI

Large Language Models (LLMs) are capable of performing a wide range of tasks with text. In this tutorial, you'll learn how to use LLMs using LeMUR to summarize audio with Node.js. Summarizing audio is a two-step process. First, you need to transcribe the audio to text. Then, once you have a transcript, you need to prompt an LLM to summarize it.

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Azure Databricks at Databricks Data + AI Summit 2024 featuring Industry Leaders and Pioneers

databricks

This is a collaborative post from Databricks and Microsoft. We thank Mohini Verma , Senior Product Marketing Manager, for her contributions. Data +.

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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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Different Usage of Python map() Function

Analytics Vidhya

Introduction In this article, we will delve into the map function in Python, a powerful tool for applying functions to iterable data structures. We’ll start with its basic usage and syntax, followed by using lambda functions for concise operations. Next, we’ll explore how to apply functions to multiple iterables simultaneously, handle different length iterables, and […] The post Different Usage of Python map() Function appeared first on Analytics Vidhya.

Python 278
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A Guide to Evaluate RAG Pipelines with LlamaIndex and TRULens

Analytics Vidhya

Introduction Building and optimizing Retrieval-Augmented Generation (RAG) pipelines has been a rewarding experience. Combining retrieval mechanisms with language models to create contextually aware responses is fascinating. Over the past few months, I’ve fine-tuned my RAG pipeline and learned that effective evaluation and continuous improvement are crucial.

Analytics 294
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Supercharge Your Embeddings Pipeline with EmbedAnything

Analytics Vidhya

Introduction In this article, we are going to explore a new tool, EmbedAnything, and see how it works and what you can use it for. EmbedAnything is a high-performance library that allows you to create image and text embeddings directly from files using local embedding models as well as cloud-based embedding models. We will also […] The post Supercharge Your Embeddings Pipeline with EmbedAnything appeared first on Analytics Vidhya.

Analytics 274
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Use Cases of Python Context Manager

Analytics Vidhya

Introduction Python’s ability to manage resources—files, database connections, and threads—ensures that programs run quickly and without errors. A context manager is a potent architecture that helps with this task. Python context managers make resource management easier by enabling developers to specify resource setup and takedown procedures legibly and error-proofly using the with statement.

Python 283
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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene