Sat.Apr 08, 2023 - Fri.Apr 14, 2023

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How to Ensure Data Integrity at Scale By Harnessing Data Pipelines

Ascend.io

Right now, at this moment, are you prepared to act on your company’s data? If not, why? At Ascend, we aim to make the abstract, actionable. So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently.

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An Exploration Of The Composable Customer Data Platform

Data Engineering Podcast

Summary The customer data platform is a category of services that was developed early in the evolution of the current era of cloud services for data processing. When it was difficult to wire together the event collection, data modeling, reporting, and activation it made sense to buy monolithic products that handled every stage of the customer data lifecycle.

Data Lake 147
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8 In-Demand Data Science Certifications for Career Advancement [2023]

Analytics Vidhya

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era. As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.

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The state of startup funding

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. To get full newsletters twice a week, subscribe here. A recent report in Carta’s newsletter caught my eye: The state of angel investing, as reported by Carta. Source: Carta’s The Data Minute newsletter Angel rounds – or pre-seed rounds – usually total less than $1M in funding raised.

Finance 189
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data News — Week 23.15

Christophe Blefari

The only AI I'm eager to see ( credits ) Hey you, the newsletter might be late today again, but this time this is not my fault. Ghost editor was down when I wanted to write. Anyway, here the weekly Data News, written faster than usual. AI News 🤖 Yann le Cun did a 10 minutes interview at a major French radio. If you want to read the French transcript you can do it here.

Datasets 130
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Automated Machine Learning with Python: A Case Study

KDnuggets

How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

More Trending

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Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM

databricks

Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).

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Data News — Week 23.14

Christophe Blefari

Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. The main reason behind this delay is because I've played with LLMs yesterday. I've tried to run open-source models locally on my own laptop. There are still a few bugs and the results are not really at OpenAI level but this is fun to do.

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AutoGPT: Everything You Need To Know

KDnuggets

Just when we got our heads around ChatGPT, another one came along. AutoGPT is an experimental open-source pushing the capabilities of the GPT-4 language model.

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Deploying key transparency at WhatsApp

Engineering at Meta

WhatsApp has launched a new cryptographic security feature to automatically verify a secured connection based on key transparency. The feature requires no additional actions or steps from users and helps ensure that a conversation is secure. Key transparency solutions help strengthen the guarantee that end-to-end encryption provides to private, personal messaging applications in a transparent manner available to all.

Utilities 138
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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How We Performed ETL on One Billion Records For Under $1 With Delta Live Tables

databricks

Today, Databricks sets a new standard for ETL (Extract, Transform, Load) price and performance. While customers have been using Databricks for their ETL.

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Data News — Week 13.14

Christophe Blefari

Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. The main reason behind this delay is because I've played with LLMs yesterday. I've tried to run open-source models locally on my own laptop. There are still a few bugs and the results are not really at OpenAI level but this is fun to do.

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DataLang: A New Programming Language for Data Scientists… Created by ChatGPT?

KDnuggets

I recently tasked ChatGPT-4's to come up with a new programming language appropriate for data scientists in their day to day tasks. Let's look at the results, and the process of getting there.

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Catching up with OpenAI by Chris Price

Scott Logic

It’s been over a year since I last blogged about OpenAI. Whilst DALL-E 2, ChatGPT and GPT4 have grabbed all of the headlines, there were a lot of other interesting things showing up on their blog in the background. This post runs through just over six months of progress from Sept 2021 - March 2022. Recursive task decomposition September 2021 One of the big constraints of the GPT series of models is the size of the input.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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How Software Bill of Materials change the dependency game

Zalando Engineering

Dependency hygiene Dependency updates are a tedious task when maintaining thousands of microservices. Some teams use tools like dependabot , scala-steward that create pull requests in repositories when new library versions are available. Other teams update dependencies regularly in bulk, supported by build system plugins (e.g. maven-versions-plugin , gradle-versions-plugin ).

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How to use ChatGPT-4? Everything you need to know

Edureka

The most recent version of the AI, which was released on March 14, is the fourth iteration. Actually, ChatGPT’s initial release was in 2018. Since then, the company has been releasing iterations of the AI; ChatGPT 3, which launched earlier this year, has so far proven to be the most popular. The latest and most effective large language model is ChatGPT-4.In this blog, you will learn how to start using GPT-4 by following the steps mentioned here.

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10 Websites to Get Amazing Data for Data Science Projects

KDnuggets

Ultimately, these websites should help you find data you care about, do a cool data science project, and use that to get a job.

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How DataOS Reinvigorates Analytics for Healthcare

The Modern Data Company

Prevention and early intervention are essential to building an effective healthcare approach that supports patients from start to finish. The critical component of this approach is predictive analytics — analyzing big data gathered from patients, consumers, and research to provide actionable insights about a patient’s current and future healthcare needs.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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crem: compositional representable executable machines

Tweag

State machines are a common abstraction in computer science. They can be used to represent and implement stateful processes. My interest in them stems from Domain-Driven Design and software architecture. With this blog post I’d like to explain why I think that state machines are a great tool to express and implement the domain logic of applications.

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Introducing Apache Spark™ 3.4 for Databricks Runtime 13.0

databricks

Today, we are happy to announce the availability of Apache Spark™ 3.4 on Databricks as part of Databricks Runtime 13.0. We extend our s.

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Unlock the Wealth of Knowledge with ChatPDF

KDnuggets

ChatPDF helps you to improve the learning experience, process the documents, and explore new insights and answers from historical records.

Process 112
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LinkedIn Integrates Protocol Buffers With Rest.li for Improved Microservices Performance

LinkedIn Engineering

Authors: Karthik Ramgopal and Aman Gupta Each day, LinkedIn serves billions of member requests across all our platforms, including our web and mobile apps. It’s important that these member requests—such as viewing a company page, reading a LinkedIn article, or viewing network connections—are fulfilled quickly and that members aren’t faced with slow page load times (latency).

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Scrum Master Goals to Maximize the Performance [with Examples]

Knowledge Hut

The primary objectives of the Scrum Master, a crucial role in the Scrum framework, are to facilitate the Scrum process, remove obstacles, coach the team, foster collaboration, and ensure accountability. On the whole, the Scrum Master is a servant leader who assists the team in achieving.its objectives, encourages continuous improvements, and aids in requirement adaptation.

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True Orthomosaics – A Valuable Product You Should Re-Think

ArcGIS

Ture orthomosaics are an essential product for many different use cases for Reality Mapping and can now be processed using ArcGIS Reality

Process 98
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Baize: An Open-Source Chat Model (But Different?)

KDnuggets

So what's new in the LLM space? Meet Baize, an open-source chat model that leverages the conversational capabilities of ChatGPT. Learn how Baize works, its advantages, limitations, and more.

IT 95
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Our Responsible AI Principles in Practice

LinkedIn Engineering

Co-Authors: Keren Baruch , Grace Tang , Sakshi Jain , Sam Gong, Alex Murchison , Jon Adams , and Sara Harrington We recently shared our Responsible AI principles which summarized how we build using AI at LinkedIn. These principles guide our work and ensure we are consistent in how we use AI to (1) Advance Economic Opportunity, (2) Uphold Trust, (3) Promote Fairness and Inclusion, (4) Provide Transparency, and (5) Embrace Accountability.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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#ClouderaLife Employee Spotlight: Sherry Zhou, Engineering Manager

Cloudera

As we celebrate International Women’s Day and Women’s History Month in the US, for this #ClouderaLife Employee Spotlight we sat down with Clouderan Sherry Zhou to talk about her career transition from biology to technology, her geographic transition from the US to the UK, and what she learned along the way. Sherry is an Engineering Manager for the CDV (Cloudera Data Visualization) team.

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True Orthos – A Valuable Product You Should Re-Think

ArcGIS

Ture orthos are an essential product for many different use cases for Reality Mapping and can now be processed using ArcGIS Reality

Process 98
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Exploring Unsupervised Learning Metrics

KDnuggets

Improves your data science skill arsenals with these metrics.

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How Supply Chains Are Life and Death

Snowflake

The COVID-19 pandemic, coupled with increasingly common climate-based natural disasters, showed us how vulnerable global supply chains are. But while a broken supply chain in the automobile industry may mean a shortage of spark plugs at your local auto repair shop, the same situation in the healthcare industry can result in the inability to effectively treat illness or injury.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.