Tue.May 02, 2023

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Bark: The Ultimate Audio Generation Model

KDnuggets

Bark is a versatile audio generation model that supports multi-language, music, voice cloning, and speaker prompts audio generation.

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The Modern Data Company Brief

The Modern Data Company

The Modern Data Company Brief The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We’re replacing overwhelm with composability, reinventing governance, and connecting legacy systems to your newest tools. Find out how DataOS can put you on the fastest path from data to decisions.

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What is K-Means Clustering and How Does its Algorithm Work?

KDnuggets

In this article, we’ll cover what K-Means clustering is, how the algorithm works, choosing K, and a brief mention of its applications.

Algorithm 154
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Beyond the Hype: Is generative AI coming for programming jobs? by Colin Eberhardt

Scott Logic

In this episode, I’m joined by colleagues Oliver Cronk, Chris Price and James Heward for a lively debate on whether the latest advances in generative AI are going to threaten our jobs – are we going to be made redundant by our own creation? We start with a quick summary of the latest advances in AI, and consider the nascent reasoning capabilities these models exhibit.

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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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Building and Training Your First Neural Network with TensorFlow and Keras

KDnuggets

Learn how to build and train your first Image Classification model with Keras and TensorFlow using Convolutional Neural Network.

Building 107
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How LIquid Connects Everything So Our Members Can Do Anything

LinkedIn Engineering

Imagine a tool that can store and connect all the information you need to make decisions and solve problems. Most people would say it’s nice to think about, but not yet possible. The good news is this tool already exists - and it’s called a graph database. At LinkedIn, technologies like graph databases are essential to powering today's platform, while being flexible enough to scale for our future needs.

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Multi-cloud Architecture for Portable Data and AI Processing in Financial Services

databricks

Many financial institutions are developing a multi-cloud strategy to reduce operational risk, adhere to regulatory requirements, and also to benefit from a choice.

Cloud 82
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Deploy a Yew Rust Application on an AWS EC2 Ubuntu Instance & Nginx

Workfall

Reading Time: 5 minutes After you’ve finished developing your Yew Rust application, it’s time to make it available to your users. It is expected to be placed on a server someplace, either on a Cloud service provider or an on-premises server, for this purpose. This blog will go over how to launch your Yew Rust application on AWS EC2. We will utilize GitHub Actions to automate the deployment process by configuring a pipeline to generate artifacts that will be deployed to an EC2 instanc

AWS 55
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Find what you seek with the new navigation UI

databricks

We are excited to announce that we will be releasing a new UI that will make it easier for you to navigate Databricks.

IT 89
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The Modern Data Company Brief

The Modern Data Company

The Modern Data Company Brief The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We’re replacing overwhelm with composability, reinventing governance, and connecting legacy systems to your newest tools. Find out how DataOS can put you on the fastest path from data to decisions.

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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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Unlocking the Power of Retail Media Networks: How Data-Driven Advertising is Changing the Retail Promotions Landscape

databricks

With razor thin margins and increasing competition for the customer, retailers are always looking for new ways to monetize and stay ahead of.

Retail 84
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Earn 4.65% APY with Robinhood Gold

Robinhood

Robinhood is raising interest rates once again for Gold members to 4.65% APY starting Thursday, May 4. FDIC insurance increasing to up to $2 million on June 1st. The Fed just announced interest rates are going up again. At Robinhood, we’re always looking for ways to help our customers make their money work for them. That’s why on Thursday, May 4 we’re raising our Robinhood Gold rate again –this time to 4.65% APY.

Banking 52
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Monte Carlo’s Data Observability Platform Recognized for Best Estimated ROI by G2

Monte Carlo

We’re delighted to announce that Monte Carlo has been recognized as the data observability platform that delivers the best estimated ROI by G2, the leading software marketplace and peer-to-peer software review platform. Other awards received by Monte Carlo during their spring 2023 award round up includes Easiest Setup, Easiest to Do Business With, and Users Love Us.

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Observability for Telecoms: It’s All About the Data

Snowflake

A few years ago, a small town in Alaska experienced a series of winter storms—that’s business as usual—but this time a rising river flooded the local telecommunications facility and knocked it offline. All services were switched over to a backup data center. Unfortunately, a network card then failed, leaving the village completely cut off during a blizzard. “It was messy,” recalls Matt Childs, a Senior Solutions Architect at Snowflake who at the time worked at this Alaskan tele

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Best Software Development Project Ideas [Beginners & Advanced]

Knowledge Hut

Software development project is a complex activity by people within the limitations of budget, time, and staff resources. While working on projects, whether a course project or a capstone one teaches you a lot. Whether a student or a working professional, you learn a lot and develop several skills, like time management, problem-solving, analytical skills, etc.

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New Survey Reveals Healthcare Interoperability Challenges Across the Industry

Snowflake

You hear the word “interoperability” used a lot these days in healthcare. But the word means different things to different people across the healthcare ecosystem. For clinicians, it may mean the ability to easily and quickly share unstructured data, such as x-ray images, while to another provider it might mean ensuring optimal patient care. For healthcare leadership, it may mean complying with regulations and effortlessly accessing a wide range of data across the organization to more effectively

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How to Reduce Hadoop Risks | Acceldata

Acceldata

Learn how data engineers can reduce risks when using Hadoop in their enterprise data environments. Additionally, learn how migration away from Hadoop is increasingly seen as an alternative.

Hadoop 52
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Parallel execution in Apache Hop workflows

know.bi

One of the first concepts new Apache Hop users learn is that pipelines are executed in parallel and workflows are executed sequentially.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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How To Overcome GA4 Server-Side Tracking Challenges

RudderStack

When migrating from Universal Analytics, learning about GA4’s server-side capabilities is just as important as learning GA4’s event model.

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Automatically Managing Data Pipeline Infrastructures With Terraform

Towards Data Science

I know the manual work you did last summer Photo by EJ Yao on Unsplash Introduction A few weeks ago, I wrote a post about developing a data pipeline using both on-premise and AWS tools. This post is part of my recent effort in bringing more cloud-oriented data engineering posts. However, when mentally reviewing this post, I noticed a big problem: the manual work.

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Large-scale User Sequences at Pinterest

Pinterest Engineering

User Understanding team: Zefan Fu, Minzhe Zhou, Neng Gu, Leo Zhang, Kimmie Hua, Sufyan Suliman | Software Engineer, Yitong Zhou | Software Engineering Manager Index Core Entity team: Dumitru Daniliuc, Jisong Liu, Kangnan Li | Software Engineer, Shunping Chiu | Software Engineering Manager Understanding and responding to user actions and preferences is critical to delivering a personalized, high quality user experience.