Trending Articles

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How Systems Thinking Can Be Applied To Agile Transformations

Knowledge Hut

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. While the precise impact may not be foreseeable in and of itself, many behavioral patterns are impactful.

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Robinhood Response to Receipt of Wells Notice from the U.S. Securities and Exchange Commission

Robinhood

Robinhood Markets,Inc.(Nasdaq:HOOD) today announced that RHC has received a Wells Notice from the SEC Staff Earlier today we announced Robinhood Crypto (RHC) has received a Wells Notice from the U.S. Securities and Exchange Commission staff indicating they will recommend that the Commission file an enforcement action. “After years of good faith attempts to work with the SEC for regulatory clarity including our well-known attempt to ‘come in and register,’ we are disappointed that the agency has

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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

This article was published on 14 March 2024 in The Pragmatic Engineer, for subscribers. I'm sharing this piece in public more than a month later, as it provides important context and analysis for the AI dev tools space. Subscribe to The Pragmatic Engineer to stay up-to-date on what is happening with software engineering, Big Tech, and startups.

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How to build a data team

Christophe Blefari

My personal collection of the best resources to bootstrap a data team and get inspired from what others are doing.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Introducing Confluent Cloud Freight Clusters

Confluent

Confluent Cloud Freight clusters are now available in Early Access. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.

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A Notebook is all I want or Don't

Data Engineering Weekly

The tweet received strong reactions on LinkedIn and Twitter. To clarify, I quoted it as a Notebook-style development, but it is not exactly a Notebook. There is a lot of context missing in that tweet, so I decided to write a blog about it. People have reservations about using tools like Jupytor Notebook for the production pipeline for a good reason.

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A Comprehensive Guide to Essential Tools for Data Analysts

KDnuggets

Data analyst tools encompass programming languages, spreadsheets, BI, and big data tools. Here are 9ish tools that cover all the tasks of data analysts well.

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Moving Beyond MTEB and BEIR: Snowflake AI Research Joins Forces with the University of Waterloo to Evolve RAG and Retrieval Benchmarks

Snowflake

To accurately answer business questions using LLMs, companies must augment models with their data. Retrieval Augmented Generation (RAG) is a popular solution to this problem, as it integrates the organization’s factual, real-time data into the prompt for the LLM. While the adoption of RAG has increased, an open question remains: How do enterprises know how effective their system is?

Cloud 101
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Reaction to Data Engineering Survey for 2024

Confessions of a Data Guy

The post Reaction to Data Engineering Survey for 2024 appeared first on Confessions of a Data Guy.

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Common Challenges Faced by First-Time Agile Organizations

Knowledge Hut

After much deliberation on whether Agile is right for your organization and fighting the demons of doubt, you decide to hire an Agile coach. Now that you are gearing up to reap the benefits of Agile, somewhere in the corner of your mind, there is still a doubt about whether your organization is ready for Agile. Implementing Agile for the first time can prove to be a herculean task.

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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?

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Calibrating the Mosaic Evaluation Gauntlet

databricks

A good benchmark is one that clearly shows which models are better and which are worse. The Databricks Mosaic Research team is dedicated.

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5 Simple Steps to Automate Data Cleaning with Python

KDnuggets

Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.

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Meet the 2024 Snowflake Startup Challenge Finalists

Snowflake

The 2024 Snowflake Startup Challenge began with over 900 applications from startups Powered by Snowflake in more than 100 countries. Our judges narrowed that long list of contenders down to 10, and after much deliberation, they’ve now pared it down to the final three. We are pleased to announce that BigGeo, Scientific Financial Systems and SignalFlare.ai by Extropy360 will advance to the Snowflake Startup Challenge finale and compete for the opportunity to receive a share of up to $1 million in

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Google Fires Python. What Next?

Confessions of a Data Guy

What is going on? Is the world coming to an end? I thought Python was going to live forever. Well, apparently not at Google. Recently Google announced it was laying off its entire North American-based Python team that was supporting Google’s special needs with Python, in favor of cheaper offshore workers. Apparently, some of these […] The post Google Fires Python.

Python 100
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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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10 deadly myths of Agile and Scrum

Knowledge Hut

Agile and Scrum have been conquering the minds of engineers, managers especially from software industry, quite effectively since last few years. The impact is so much so that every software engineer thinks that if he/she is not working on an Agile or Scrum project, their career is stuck. It surely is, but so is the reality of this fact. Agile and Scrum have become so pervasive in our thought process that we, as engineers or managers or product owners do not stop to ask ourselves once if we reall

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Databricks named a Leader in the 2024 Forrester Wave for Data Lakehouses

databricks

We are proud to announce that Forrester has recognized Databricks as a Leader with the highest scores in both current offering and strategy.

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Avoid These 5 Common Mistakes Every Novice in AI Makes

KDnuggets

Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.

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What’s New in ArcGIS Pro 3.3

ArcGIS

Discover the exciting new features of ArcGIS Pro 3.3. From water flow modeling to direct PDF support, this release has it all. Read our blog to learn more.

IT 75
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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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Top 8 Snowflake Marketplace Questions, Answered

Snowflake

Snowflake Marketplace is designed to give customers and organizations a place to easily find, try and buy data, apps and AI products that help solve their most pressing business problems. We have more than 540 providers, offering over 2,400 live, ready-to-use data products (as of Jan 31, 2024), so there are many options to help you enrich your own data resources, build new data apps and leverage the power of AI on Snowflake.

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Water-Scrum-Fall: Is it a Myth or Reality?

Knowledge Hut

Usage of Agile Methods for software Development has caught on like wildfire. Every organization wants to follow Agile methods for software development projects to gain all or some of the following advantages. Faster Software Delivery Continuous Customer Feedback and Optimization Improved Software Quality Improved Communication with Users and Business Sponsors Accommodation for Continuous Changes Early Return on Investment Continuous Visibility on Features Being Developed Optimized Risks Though u

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The Vital Role of Data Governance in Communications, Media and Entertainment

databricks

Discover the vital role of data governance in the communications, media, and entertainment industry. Learn how robust data governance enables personalized experiences, ensures AI transparency, and mitigates compliance risks. Explore how leading companies like Barilla and Anker are accelerating innovation through effective data governance strategies powered by Databricks' Unity Catalog.

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Data Science Degrees vs. Courses: The Value Verdict

KDnuggets

Exploring the merits of data science degrees vs courses, this analysis contrasts their depth, prestige, and practicality in job market preparation

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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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Data Engineering Weekly #170

Data Engineering Weekly

Ken Liu: Machine Unlearning in 2024 One of the insightful articles is about the growing adoption of one large language model and the challenge it brings to machine unlearning. The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset.

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Better See and Control Your Snowflake Spend with the Cost Management Interface, Now Generally Available

Snowflake

Snowflake is dedicated to providing customers with intuitive solutions that streamline their operations and drive success. As part of our ongoing commitment to helping customers in this way, we’re introducing updates to the Cost Management Interface to make managing Snowflake spend easier at an organization level and accessible to more roles. Snowsight: Your Centralized Console for Cost Management The Cost Management Interface in Snowsight (Snowflake’s web interface) is the centralized con

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What Is Kanban In Agile Values, Principles, Benefits & Career

Knowledge Hut

Kanban is getting a wide-scale popularity in Agile organizations because of its unmatched values, principles, and benefits. The certified Kanban training courses, designed for different levels, allow the program managers, delivery managers, project managers, software product developers and business analysts etc to choose the best and to boost up their career growth.

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Intelligently Balance Cost Optimization & Reliability on Databricks

databricks

The Databricks Data Intelligence Platform offers unparalleled flexibility, allowing users to access nearly instant, horizontally scalable compute resources. This ease of creation can.

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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.

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5 Free Stanford AI Courses

KDnuggets

Want to learn more about Artificial Intelligence? These five courses from Stanford will help you kickstart that journey.

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Key Moments From Kafka Summit Bangalore: AI Model Inference, Freight Clusters, and More

Confluent

A lookback at all the exciting happenings at our first-ever Kafka Summit Bangalore—and some key announcements, including Confluent Platform for Apache Flink.

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How to Supercharge Your Python Classes with Class Methods

Towards Data Science

Four advanced tricks to give your data science and machine learning classes the edge you never knew they needed Continue reading on Towards Data Science »

Python 74
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How Business Agile Can Increase the Effectiveness of Your Team

Knowledge Hut

In the dynamic world of business, the only constant thing is change. Hence, each organization, regardless of its size, market share, product, or service range, location or brand has to learn to adapt quickly to the ever-changing corporate reality. The modern term of this process is referred to as business agility and often, this is one of the most valuable assets a company may have.

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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.