Confessions of a Data Guy

JUNE 11, 2024

One of the things I love about Python is its flexibility and huge community, a community that puts out a never-ending stream of useful packages for the average Software Engineer. In a show of solidarity to the open-source community, I thought I would publish a PYPI package that will probably be used by 5 people […] The post Building Open-Source Python Packages – SparklePop appeared first on Confessions of a Data Guy.

Python 100

Python Building Software Engineer Software Engineering 100

databricks

JUNE 11, 2024

Today, we are excited to announce Databricks AI/BI , a new type of business intelligence product built from the ground up to deeply.

BI 142

BI Business Intelligence Data 142

ArcGIS

JUNE 11, 2024

The Living Atlas team publishes a lot of web layers. Here's some of our favorite tips and tricks for customizing your layers and maps.

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Cloudera

JUNE 11, 2024

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context. By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and ob

Unstructured Data 92

Unstructured Data Pharmaceutical Banking Manufacturing 92

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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?

Business Intelligence

Snowflake

JUNE 11, 2024

Bringing machine learning (ML) models into production is often hindered by fragmented MLOps processes that are difficult to scale with the underlying data. Many enterprises stitch together a complex mix of various MLOps tools to build an end-to-end ML pipeline. The friction of having to set up and manage separate environments for features and models creates operational complexity that can be costly to maintain and difficult to use.

Management 91

Management Government Metadata Python 91

Engineering at Meta

JUNE 11, 2024

MobileConfig enables developers to centrally manage a mobile app’s configuration parameters in our data centers. Once a parameter value is changed on our central server, billions of app devices automatically fetch and apply the new value without app updates. These remotely managed configuration parameters serve various purposes such as A/B testing, feature rollout, and app personalization.

Java 88

Java Designing Technology Engineering 88

Confluent

JUNE 11, 2024

Build with Confluent helps system integrators develop joint solutions faster, including specialized software bundles, support from data streaming experts to certify offerings, and access to Confluent’s Go-To-Market teams to amplify audience.

Building 75

Building Accessible Accessibility Data 75

ArcGIS

JUNE 11, 2024

This is the fifth in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.

Data Science 61

Data Science Machine Learning Python Data 61

Confluent

JUNE 11, 2024

Use Confluent’s data streaming platform to bring real-time insights to customer loyalty programs, creating personalized offers that drive greater retention and revenue.

Programming 75

Programming Data 75

Cloudyard

JUNE 11, 2024

Read Time: 1 Minute, 48 Second RETRY LAST: In modern data workflows, tasks are often interdependent, forming complex task chains. Ensuring the reliability and resilience of these workflows is critical, especially when dealing with production data pipelines. Imagine you’re tasked with managing a critical data pipeline in Snowflake that processes and transforms large datasets.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Data Workflow 52

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.

Data

Striim

JUNE 11, 2024

In today’s fast-paced financial landscape, robust security measures are not optional — they are essential. Financial services organizations face a constant onslaught of fraud attempts that threaten both their bottom line and the trust of their customers. That’s where real-time AI-powered fraud detection comes into the picture. Think of it as a game-changing solution designed to safeguard transactions and maintain customer confidence.

MongoDB 52

MongoDB MySQL Utilities Algorithm 52

DareData

JUNE 11, 2024

In this post, we’ll learn how to train a computer vision model using a convolutional Neural Network in PyTorch PyTorch is currently one of the hottest libraries in the Deep Learning field. Used by thousand of developers around the world, the library gained prominence since the release of ChatGPT and the introduction of deep learning into mainstream news headlines.

Algorithm 52

Algorithm Datasets Deep Learning Architecture 52

Knowledge Hut

JUNE 11, 2024

In a digital era brimmed with interconnected devices, cybercrimes and security breach incidents have become ever so common, threatening the privacy and security of the users. The recent introduction of amenities such as ubiquitous internet access, the internet of things (IoT), and cloud computing to the general masses has inspired a new cybercrime wave, which has led security experts to make considerable advancements in digital forensics in order to keep up with evolving cyber-crimes.

Data Collection 52

Data Collection Cloud Computing Metadata Accessibility 52

KDnuggets

JUNE 11, 2024

Improve your skills, creativity, and renown by participating in competitions.

Data 85

Data Data Science 85

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.

Manufacturing

Knowledge Hut

JUNE 11, 2024

Ethical hacking is a method I've used to test website and application security by simulating attacks, and it serves the crucial purpose of identifying and rectifying vulnerabilities before malicious actors can exploit them. Whether provided as a free service or part of a paid contract, it's indispensable for companies and individuals to safeguard their accounts.

Certification 52

Certification Programming Systems Cloud 52

KDnuggets

JUNE 11, 2024

All about TII’s best-performing open-source, multilingual and multimodal language model

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Knowledge Hut

JUNE 11, 2024

In recent years, Machine Learning, Artificial Intelligence, and Data Science have become some of the most talked-about technologies. These technological advancements have enabled businesses to automate and operate at a much higher level. Companies of all sizes are investing millions of dollars in data analysis and on professionals who can build these exceptionally powerful data-driven products.

Java 52

Java Data Science Programming Language Scala 52