KDnuggets

JULY 17, 2023

Auto-CoT prompting method has LLMs automatically generate their own demonstrations to prompt complex reasoning, using diversity-based sampling and zero-shot generation, reducing human effort in creating prompts. Experiments show it matches performance of manual prompting across reasoning tasks.

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IT 85

Lyft Engineering

JULY 17, 2023

Our cross-functional development process By: Aastha Bhargava , Jake Hercules , Erik Kamp , Michael Ramdatt , Nathan Van Fleet , Rex Lam , Kieran Gupta Product For years, drivers have been clear about what they wanted: native Lyft support for CarPlay and Android Auto. They’ve made the request across social media platforms, through the app, and in feedback sessions with Lyft researchers.

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KDnuggets

JULY 17, 2023

The second edition of the book Neural Networks and Deep Learning is now available. This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning. The second edition is significantly expanded and covers many modern topics such as graph neural networks, adversarial learning, attention mechanisms, transformers, and large language models.

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Deep Learning Algorithm IT 84

ArcGIS

JULY 17, 2023

This blog shares the resource to the ArcGIS Pro Learn Series about SAR satellite imagery.

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Education 97

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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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KDnuggets

JULY 17, 2023

The All Things Insights and marketing analytics and data science community completed an extensive survey covering what executives are thinking, how they’re spending and the issues and opportunities they face. Grab your free copy now.

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Data Science Data 80

Towards Data Science

JULY 17, 2023

Deep Dive Guide for When and How to Use 8 Types of SCD Continue reading on Towards Data Science »

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Data Science Data Warehouse Data Technology 88

databricks

JULY 17, 2023

For over a year now, Databricks and dbt Labs have been working together to realize the vision of simplified real-time analytics engineering, combining.

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Engineering 65

Databand.ai

JULY 17, 2023

DataOps vs. MLOps: Similarities, Differences, and How to Choose Joseph Arnold July 17, 2023 What Is DataOps? DataOps , short for Data Operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data management processes. It aims to streamline the entire data lifecycle—from ingestion and preparation to analytics and reporting.

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Data Pipeline Machine Learning High Quality Data BI 52

dbt Developer Hub

JULY 17, 2023

Whether you are creating your pipelines into dbt for the first time or just adding a new model once in a while, good documentation and testing should always be a priority for you and your team. Why do we avoid it like the plague then? Because it’s a hassle having to write down each individual field, its description in layman terms and figure out what tests should be performed to ensure the data is fine and dandy.

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Coding Database Programming Process 52

Emeritus

JULY 17, 2023

“One has to stay hopeful. The last thing that dies is hope, but we have to believe that everything will be better.” That poignant reminder to stay hopeful amid devastation comes from a 20-year-old war survivor struggling with his internet connection as he speaks to us over a Zoom call. Vladyslav Honcharuk, a young Ukrainian… The post How an Emeritus Scholarship Rekindled Hope in the Heart of a Young Ukranian appeared first on Emeritus Online Courses.

Data Science 52

Data Science Data Engineering Data Engineer Engineering 52

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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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Snowflake

JULY 17, 2023

At Snowflake Summit 2023, Snowflake announced the general availability of the Marketplace Capacity Drawdown Program (only available to organizations located in the U.S., excluding those in Florida, Kansas, or Michigan. See documentation for additional program criteria). This opens a whole new buying option: eligible Snowflake customers can now purchase third-party data and Snowflake Native Apps seamlessly on Snowflake Marketplace from across clouds with their Snowflake Capacity commitment.

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Accessible Accessibility Programming Data 52

Precisely

JULY 17, 2023

Data-driven decision-making has never been more in demand. A recent survey found that 77% of data and analytics professionals place data-driven decision-making as the leading goal for their data programs. And yet less than half (46%) rate their ability to trust data for decision-making as “high” or “very high.” Accurate, confident decision-making requires trusted data.

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Data Integration Data Cleanse Data Governance Government 52

KDnuggets

JULY 17, 2023

Putting the world to shame.

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databricks

JULY 17, 2023

Over the past few months, interest in Large Language Models (LLMs) from Public Sector agencies has skyrocketed as LLMs are fundamentally changing the.

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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.

Data Analysis

KDnuggets

JULY 17, 2023

MOSTLY AI has conducted the first-ever synthetic data survey in the data science AI/ML community. Check out the results here.

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Accessible Accessibility Data Science Data 60

Engineering at Meta

JULY 17, 2023

Meta has made it possible for people to upload high dynamic range (HDR) videos from their phone’s camera roll to Reels on Facebook and Instagram. To show standard dynamic range (SDR) UI elements and overlays legibly on top of HDR video, we render them at a brightness level comparable to the video itself. We solved various technical challenges to ensure a smooth transition to HDR video across the diverse range of old and new devices that people use to interact with our services every day.

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Media Metadata Software Engineer Software Engineering 78

Ascend.io

JULY 17, 2023

If you work with data, you’ll have come across the term data mesh by now. This decentralized but interconnected approach to structuring data has become increasingly popular since the term was coined by Zhamak Dehghani 4 years ago. However, while data meshes have significant advantages for scaling up your data operations, the approach comes with its fair share of challenges: Michele Goetz, VP and Principal Analyst at Forrester, calls it the “ data mesh blind side.

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Datasets Telecommunication Architecture Government 52

Cloudera

JULY 17, 2023

What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. We’ve shared code, dashboards, and tools to help you on your health improvement journey. We’d like to provide one last tool. The Environmental Health Scorecard We track environment health at the macro level with a dashboard that mirrors our blog series methodology with a few ad

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Metadata Government Data Governance Datasets 68

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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