Thu.Jul 13, 2023

article thumbnail

The Pulse: VanMoof files for bankruptcy protection

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 Pulse issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on Software architect archetypes. To get the full issues, twice a week, subscribe here. Before we start, a small change.

article thumbnail

Berlin Buzzwords 2023 - notes for data engineers

Waitingforcode

That's the conference I've heard only recently about. What a huge mistake! Despite the lack of "data" word in the name, it covers many interesting data topics and before I share with you my notes from this year's Data+AI Summit, let me do the same for Berlin Buzzwords!

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Snowflake’s Performance Optimizations Help ESO Reduce Costs by 60%

Snowflake

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. With a mission to improve community health and public safety through the power of data, ESO makes software that helps save lives. If you call 911 and a fire or medical team responds, it’s likely they’re using ESO software to make sure you get the right help fast.

Medical 92
article thumbnail

Exploring Tree of Thought Prompting: How AI Can Learn to Reason Through Search

KDnuggets

New approach represents problem-solving as search over reasoning steps for large language models, allowing strategic exploration and planning beyond left-to-right decoding. This improves performance on challenges like math puzzles and creative writing, and enhances interpretability and applicability of LLMs.

82
article thumbnail

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?

article thumbnail

Building a maintainable and modular LLM application stack with Hamilton

Towards Data Science

Building a maintainable and modular LLM application stack with Hamilton in 13 minutes LLM Applications are dataflows, use a tool specifically designed to express them LLM stacks. Using the right tool, like Hamilton, can sure your stack doesn’t become a pain to maintain and manage. Image from pixabay. This post is written in collaboration with Thierry Jean and originally appeared here.

article thumbnail

Database Optimization: Exploring Indexes in SQL

KDnuggets

Learn about Indexing in SQL and how you can increase the retrieval speed of the SELECT queries and WHERE clauses.

SQL 88

More Trending

article thumbnail

How to Streamline Communication in Data Pipelines Using Mage

Towards Data Science

Let the bot handle difficult communications for us Continue reading on Towards Data Science »

article thumbnail

Where Does AI Happen?

KDnuggets

Which sector should aspiring researchers flock toward? Academia or industry?

83
article thumbnail

Harnessing the Power of Knowledge Graphs: Enriching an LLM with Structured Data

Towards Data Science

A step-by-step guide to creating a knowledge graph and exploring its potential to enhance an LLM Continue reading on Towards Data Science »

article thumbnail

FAQ: 5 Key Questions To Understand Retail Media Networks

Mutt Data

Retail Media Networks 101: 5 Essential FAQs Answered Retail Media Networks (RMNs) are reshaping the landscape of digital advertising. Both retailers and advertisers are increasingly finding themselves using these platforms. We thought it was as good a time as any to dive into what RMNs are, what sets them apart, and the key components you should look out for when building one.

Media 52
article thumbnail

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.

article thumbnail

Amazon S3 to Azure Synapse: #3 Easy Methods to Load Data

Hevo

Are you relying on Amazon S3 to store your data? Great! But are you successful in making that stored data talk by performing data transformations, running big data analytics, and applying ML algorithms for applications like fraud detection, IoT data processing, and operational monitoring?

article thumbnail

FAQ: 5 Key Questions To Understand Retail Media Networks

Mutt Data

Retail Media Networks 101: 5 Essential FAQs Answered Retail Media Networks (RMNs) are reshaping the landscape of digital advertising. Both retailers and advertisers are increasingly finding themselves using these platforms. We thought it was as good a time as any to dive into what RMNs are, what sets them apart, and the key components you should look out for when building one.

Media 52
article thumbnail

IT Consulting: Breaking the Conventional Paradigm

FreshBI

Utilizing consulting agencies can be a game-changer for organizations, propelling their internal success by leveraging data-driven insights to inform strategic decisions. Despite this, traditional consulting practices have often created a negative perception of the business consulting industry, casting a shadow over its potential benefits. FreshBI is directly disrupting the current landscape and shining a new light on the realm of consulting.

article thumbnail

4 Ways Automation Helps Data Engineering Teams

Monte Carlo

This is a guest post from our friends over at Satori Cyber. Data-driven organizations generate, collect, and store vast amounts of data. To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability. Automation is a missing link in many organizations’ efforts toward data operationalization.

article thumbnail

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.

article thumbnail

Add Critical Context to Business Data with Geospatial Data and Location Intelligence

Precisely

As businesses leverage the power of digital technologies, we’re seeing an exploding need for trusted data. Today’s innovators know that data-driven decisions give them a competitive edge. As a result, top execs are prioritizing their business data investments in data infrastructure. Many are hiring Chief Data Officers or are defining similar roles within their organizations.

article thumbnail

2023 Data Scientists Salaries

KDnuggets

How much do data scientists make?

Data 85
article thumbnail

Accessibility Considerations in the Software Development Process by Oded Sharon

Scott Logic

As the world becomes more digitised, ensuring accessibility in software is increasingly important. Accessibility refers to the practice of designing software so that everyone, including disabled people, can access and use them easily and effectively. This involves creating services that are perceivable, operable, understandable, and robust. In this article, we’ll explore what accessibility is, why it matters, and how we can address it in the software development process.

article thumbnail

12 Times Faster Query Planning With Iceberg Manifest Caching in Impala

Cloudera

Iceberg is an emerging open-table format designed for large analytic workloads. The Apache Iceberg project continues developing an implementation of Iceberg specification in the form of Java Library. Several compute engines such as Impala, Hive, Spark, and Trino have supported querying data in Iceberg table format by adopting this Java Library provided by the Apache Iceberg project.

article thumbnail

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.

article thumbnail

Summit 2023: A Recap of the Best Industry Updates From AI, LLMs, Native Apps, and More

Snowflake

Welcome to our recap of all of the great industry sessions presented at Snowflake Summit 2023, which just wrapped up in Las Vegas. As we continue to revolutionize the way businesses operate, allowing them to solve their most pressing problems and drive revenue through the Data Cloud, the insights, expertise, and experiences we offer at Summit have continued to grow.