Wed.Apr 26, 2023

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Automate Your Codebase with Promptr and GPT

KDnuggets

Are you looking to streamline your code operations with GPT but are tired of the copy-pasting process? Well, here is the solution in the form of Promptr. An open-source tool to automate your codebase.

Coding 109
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DoorDash identifies Five big areas for using Generative AI

DoorDash Engineering

In the wake of ChatGPT and Generative AI DoorDash is identifying ways this new technology can enhance the customer’s ordering experience on the platform. The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information.

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Type-safe data processing pipelines

Tweag

Computing is all about transforming data. A wide variety of domains, such as multimedia, securities trading or compilers, allow decomposing the corresponding transformations into a sequence of well-defined steps. Moreover, these steps can be combined in different ways, perhaps omitting some or changing the order of others, producing different data processing pipelines tailored to a particular task at hand.

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A data architecture pattern to maximize the value of the Lakehouse

databricks

One of Lakehouse's outstanding achievements is the ability to combine workloads for modern use cases, such as traditional BI, machine learning & AI.

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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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Working with Confidence Intervals

KDnuggets

Learn the basics of how confidence intervals are used in data science and statistics.

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Enhancing Product Search with Large Language Models (LLMs)

databricks

The text generation capabilities of ChatGPT, Dolly and the like are truly impressive and are rightfully recognized as major steps forward in the.

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How Databricks enables your operating model for Data and AI: Part 1

databricks

"The bottleneck (for AI) now is in management, implementation, and business imagination, not technology." -Erik Brynjolfsson Data and AI have emerged as strategic.

Data 68
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Streaming Services: Increase Your Subscriber Revenue Using This One Metric

Snowflake

The media and entertainment industry is feeling the pinch. An uncertain economic outlook is causing consumers to think twice about their next purchase at the same time as the “ streaming bubble ” is popping, forcing the industry to course correct and shore up revenue. Competition for subscribers and viewership is incredibly fierce. Entertainment giants and incumbents are creating high-quality, diverse content at nearly breakneck speeds, feeding consumers’ appetites in an effort to maintain and

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How to Connect to Your AWS EC2 Instance with Visual Studio Code

Towards Data Science

A quick and easy guide to accessing remote servers with VS Code Continue reading on Towards Data Science »

Coding 70
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Introducing Robinhood Connect, Simplifying Access to Web 3

Robinhood

Connect helps make Robinhood Crypto the most trusted, lowest cost and easiest to use crypto on-ramp. Today, at Consensus 2023, Robinhood Crypto GM Johann Kerbrat introduced Robinhood Connect – a new avenue for Robinhood customers to fund Web3 wallets without the need to leave the dApps or be in their Robinhood Crypto accounts. Developers benefit from being able to quickly embed the feature directly into their dApps, allowing their customers to use Robinhood Crypto to buy and transfer cryp

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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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Three Reference Architectures for Real-Time Analytics On Streaming Data

Rockset

This is part three in Rockset’s Making Sense of Real-Time Analytics (RTA) on Streaming Data series. In part 1 , we covered the technology landscape for real-time analytics on streaming data. In part 2 we covered the differences between real-time analytics databases and stream processing. In this post, we’ll get to the details: how does one design an RTA system?

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What is Design Thinking? – The Creative Problem-Solving Approach

Edureka

Design thinking is a problem-solving approach that involves empathizing with the user, defining the problem, ideating solutions, prototyping, and testing. It has become increasingly popular in recent years as businesses and organizations realize the benefits of a user-centred approach to innovation. This Blog on “What is Design Thinking?” will give you a brief understanding of design thinking.

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Transfer ACCOUNTADMIN Ownership to Custom Role

Cloudyard

Read Time: 2 Minute, 17 Second Ownership Transfer to Custom Role: Consider a scenario, in current database we have list of tables created by ACCOUNTADMIN role. Therefore, The ownership of these tables belongs to AccountAdmin only. Say after few months some new members have been onboarded the Snowflake project. As discuss within the team we create multiple custom roles and assign them to the users respectively.

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UI UX Designs Interview Questions and Answers – Edureka

Edureka

Are you preparing for a UI UX design interview? Congratulations! You’re on the right track to landing your dream job in the exciting field of user experience design. However, as with any job interview, it can be nerve-wracking to anticipate the questions that will be asked. That’s where we come in. In this comprehensive guide on ui ux designs interview questions and answers, we’ve compiled a list of some of the most common UI/UX design interview questions and provided detailed

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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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Amazon Redshift vs Azure Synapse: 6 Critical Differences

Hevo

Data warehouses can help solve the problem of managing large amounts of data for businesses. A data warehouse is like a library where information from different sources is stored and organized, making it easy to find and use data. For many years, data warehouses have been crucial for enterprise analytics and reporting.

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CISSP Exam preparation – Set Yourself Up for CISSP Exam Success

Edureka

The Certified Information Systems Security Professional (CISSP) certification is a globally recognized credential that validates an individual’s expertise in the field of information security. According to CyberSeek, CISSP certifications see the most demand among all current cybersecurity job openings requiring certification. In recent years, more than 137,000 cybersecurity job listings request CISSP certification.

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KDnuggets News, April 26: The Four Effective Approaches to Analyzing Data • Data Scientist Job Salaries Analysis

KDnuggets

Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively • Data Scientist Job Salaries Analysis • Dolly 2.

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Get Started with Cyber Security: An Ultimate Roadmap

Edureka

The world is shifting towards everything digital and with technologies advancing so quickly, everybody is living and breathing data, which is making Cyber Security the Need of the Hour. Before diving deep into this roadmap of cyber security let’s start with the basics. What is Cyber Security? Cyber security is all about protecting systems, servers, networks, data and devices connected to the internet from malicious attacks intended towards illegally accessing, altering and exploiting data.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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How EVO Banco Is Reinventing Fraud Prevention with Data Streaming

Confluent

Financial fraud prevention is critical for digital-native banks.

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Breaking into Cyber Security: Job Prospects and Challenges

Edureka

Cyber security is one of the fastest growing professions across the world today. Cyber crimes are not just limited to our networks and computer systems, but can affect any device connected to the internet.This includes smartphones, tablets and even Internet-connected TVs! There’s no doubt that cyber crimes will continue to increase as more devices become connected to the Internet.

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Mastering AI-Powered Product Development: Introducing Promptimize for Test-Driven Prompt…

Maxime Beauchemin

Mastering AI-Powered Product Development: Introducing Promptimize for Test-Driven Prompt Engineering originally posted here-> [link] AI, AGI, LLM, and GPT are the buzzwords of the moment. Like you, I’m excited, concerned, and constantly getting goosebumps as I try to keep up with everything happening in the field. It’s time for me to put on my helmet, secure it with duct tape, and contribute something that can help propel this frenzy forward ???

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Functional Error Handling in Kotlin, Part 1: Absent values, Nullables, Options

Rock the JVM

This article is brought to you by Riccardo Cardin. Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Scala and Kotlin. If you’d like to watch the video form of this article, please enjoy: The Kotlin language is a multi-paradigm, general-purpose programming language. Whether we develop using an object-oriented or functional approach, we always have the problem of handling errors.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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A Serverless Query Engine from Spare Parts

Towards Data Science

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. The purpose is simple: we want to show that we can develop directly against the cloud while minimizing the cognitive overhead of designing and building infrastructure.

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Building Cloud Native Data Apps on Premises

Cloudera

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. Can you achieve similar outcomes with your on-premises data platform? You absolutely can.

Cloud 64
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What Are Intelligent Data Pipelines?

Ascend.io

Data teams worldwide are building data pipelines with the point solutions that make up the “modern data stack.” But this approach is quite limited, and does not actually provide any true automation. Pipelines built with this approach are slow and require constant manual reprogramming and updates. They drain engineering teams of their efficiency while robbing stakeholders of the just-in-time data they need to inform and accelerate their growth.