ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. However, each year the skills and certainly the platforms change somewhat.

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Data Science Data Scientist Computer Science Computer Science 98

Dataconomy

NOVEMBER 18, 2024

In the first half of 2023, Big Tech’s capital expenditures (capex) rose sharply to nearly $74 billion, which increased to approximately $109 billion by Q3. Microsoft emphasized that AI contributed significantly to Azure’s growth, with its AI run rate likely exceeding $6 billion. Featured image credit : Freepik

AI 145

AI AI Azure Artificial Intelligence 145

ODSC - Open Data Science

AUGUST 3, 2023

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. Check them out here.

Big Data 52

Big Data Big Data AWS ML 52

Data Science Blog

SEPTEMBER 3, 2024

Der Gartner´s Magic Quadrant zu Process Mining Tools für 2024 zeigt einige Movements im Vergleich zu 2023. Process Mining Tool im Gartner Magic Quadrant Chart – 2023 vs 2024 Auch wenn ich große Ehrfurcht gegenüber Gartner als Quelle habe, bin ich jedoch nicht sicher, wie weit die Datengrundlage für die Feststellung geht.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

ODSC - Open Data Science

MAY 5, 2023

Microsoft Azure As one of the most popular data science cloud options, Microsoft Azure is designed for AI. With more than 200 products and services under its belt, and its speed, flexibility, and affordability options, Azure is popular for a reason. Azure is also compatible with its massive library of other services as well.

Data Science 52

Data Science Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Cloud Services: Google Cloud Platform, AWS, Azure. Get your ODSC East 2023 Bootcamp ticket while tickets are 40% off! Sign up now, start learning today !

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Becoming Human

MAY 15, 2023

Amazon SageMaker is a managed service offered by Amazon Web Services (AWS) that provides a comprehensive platform for building, training, and deploying machine learning models at scale. It is highly configurable and can integrate with other tools like Git, Docker, and AWS. Things to learn: AWS , GCP , or Microsoft Azure anyone of them.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Towards AI

JANUARY 3, 2025

Recommended Cloud Setup: Use cloud providers like AWS, Azure, or Google Cloud for access to A100/H100 GPUs. Examples: AWS EC2: P4d or P5 instances with 8x A100 GPUs. Storage: At least 8TB NVMe SSD for dataset storage and model checkpoints. Networking: High-speed networking (10Gbps+) for multi-node setups.

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ODSC - Open Data Science

JUNE 8, 2023

We’re a few weeks removed from ODSC East 2023 and we couldn’t have left on a better note. Here are some highlights from ODSC East 2023, including some pictures of speakers and attendees, popular talks, and a summary of what kept people busy. That’s it for our ODSC East 2023 highlights!

Data Science 52

Data Science Machine Learning Machine Learning ML 52

Flipboard

DECEMBER 13, 2024

To remain competitive, capital markets firms are adopting Amazon Web Services (AWS) Cloud services across the trade lifecycle to rearchitect their infrastructure, remove capacity constraints, accelerate innovation, and optimize costs. trillion in assets across thousands of accounts worldwide.

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Pickl AI

DECEMBER 26, 2024

billion in 2023 to USD 1,266.4 Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings. Use tools like AWS Cost Explorer or Azure Cost Management to track expenses and identify anomalies.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

ODSC - Open Data Science

MAY 1, 2023

Hagay Lupesko VP Engineering, MosaicML | Expert in Generative AI Training and Inference, Former Leader at Meta AI and AWS In his role as VP of Engineering, Hagay Lupesko focuses on making generative AI training and inference efficient, fast, and accessible.

Data Science 52

Data Science Machine Learning Machine Learning Azure 52

DrivenData Labs

NOVEMBER 14, 2023

Map of when land area in Laos was converted to agricultural use called "shifting cultivation," created using Landsat and GEDI data. Image source: NASA Earth Observatory images by Lauren Dauphin, using data from Chen, Shijuan, et al. HRRR has been used for applications like predicting the path of wildfire smoke and optimizing wind energy use.

Python 162

Python AWS Azure Data Analysis 162

Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. Edge Impulse provides powerful automations and low-code capabilities to make it easier to build valuable datasets and develop advanced AI with streaming data.

ML 98

ML ML Python Machine Learning 98

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

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Power BI Analytics Analytics Azure 84

ODSC - Open Data Science

JUNE 7, 2023

Microsoft’s Azure Data Lake The Azure Data Lake is considered to be a top-tier service in the data storage market. Amazon Web Services Similar to Azure, Amazon Simple Storage Service is an object storage service offering scalability, data availability, security, and performance.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

ODSC - Open Data Science

JUNE 29, 2023

Debugging Object Detection Models, 8 Trending LLMs, New AI Tools, and Generative AI as a Must-Have Skill Debug Object Detection Models with the Responsible AI Dashboard This blog will focus on the Azure Machine Learning Responsible AI Dashboard’s new vision insights capabilities, supporting debugging capabilities for object detection models.

AI 52

AI AI Predictive Analytics Azure 52

Smart Data Collective

APRIL 24, 2023

In this blog post, we will discuss the five best server backup software solutions that businesses can consider in 2023. Fortunately, there are many server backup software solutions available on the market that can help businesses protect their valuable data.

Big Data 106

Big Data Big Data Hadoop Azure 106

Towards AI

APRIL 27, 2023

Last Updated on May 2, 2023 by Editorial Team Author(s): Puneet Jindal Originally published on Towards AI. Even post, this data needs to be collated in such a way that it is easy to consume inside the AI ML training engine such as AWS Sagemaker, GCP vertex AI, Azure ML, or even Jupyter Notebook on your VMs, etc. blah blah…….

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Towards AI

JULY 17, 2023

Last Updated on July 17, 2023 by Editorial Team Author(s): Ori Abramovsky Originally published on Towards AI. Meme generated by the author using imgflip.com The first time I met Google’s Colab was when we searched for a serverless solution to train our models.

Machine Learning 98

Machine Learning Machine Learning Data Analysis Data Analysis 98

Pickl AI

OCTOBER 3, 2024

They evaluate business requirements and decide on the best cloud platform and architecture, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. Cloud Platforms Familiarity with major cloud platforms such as AWS, Microsoft Azure, and Google Cloud is necessary. from 2024 to 2030.

Cloud Computing 52

Cloud Computing Azure AWS Computer Science 52

The MLOps Blog

MARCH 23, 2023

Likewise, according to AWS , inference accounts for 90% of machine learning demand in the cloud. Cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform offer a range of options for deploying LLMs, including virtual machines, containers, and serverless computing.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

IBM Journey to AI blog

MAY 17, 2024

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. It enables IT teams to proactively monitor and manage cloud resources across multiple platforms, such as AWS, Microsoft Azure and Google Cloud Platform.

Cloud Computing 120

Cloud Computing Azure AWS AI 120

Flipboard

OCTOBER 9, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Course information: 81 total classes • 109+ hours of on-demand code walkthrough videos • Last updated: October 2023 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning.

Machine Learning 153

Machine Learning Machine Learning Deep Learning Deep Learning 153

PyImageSearch

OCTOBER 16, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Course information: 81 total classes • 109+ hours of on-demand code walkthrough videos • Last updated: October 2023 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning.

Deep Learning 105

Deep Learning Deep Learning Machine Learning Machine Learning 105

Towards AI

SEPTEMBER 26, 2023

Last Updated on September 27, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Amazon Web Services (AWS) will be the primary cloud provider for Anthropic. The investment includes AWS’s Trainium and Inferentia chips for model training and deployment.

AI 64

AI AI AWS Artificial Intelligence 64

IBM Journey to AI blog

MARCH 28, 2024

billion in 2023. Amazon Web Services (AWS), Google Cloud, IBM Cloud, Microsoft Azure) and technology companies like VMware and Red Hat offer private cloud platforms and solutions. billion by 2033, up from USD 92.64 What is a private cloud? All the major public cloud providers (e.g.,

Cloud Computing 119

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 119

Snorkel AI

JUNE 23, 2023

This presents a challenge, as high-quality labeled training data remains the primary blocker of machine learning projects—at least according to poll data collected from The Future of Data-Centric AI 2023 attendees. The biggest blocker, it seems, continues to be labeled data. Catch the sessions you missed!

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

Snorkel AI

JUNE 23, 2023

This presents a challenge, as high-quality labeled training data remains the primary blocker of machine learning projects—at least according to poll data collected from The Future of Data-Centric AI 2023 attendees. The biggest blocker, it seems, continues to be labeled data. Catch the sessions you missed!

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

phData

SEPTEMBER 15, 2023

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. What is Salesforce Sync Out? However, integrating Salesforce data with Snowflake requires some technical expertise.

Data Warehouse 52

Data Warehouse Tableau Data Silos Analytics 52

Mlearning.ai

JANUARY 28, 2023

Using a cloud provider such as Google Cloud Platform, Amazon AWS, Azure Cloud, or IBM SoftLayer 2. Training a machine learning model on dedicated hardware Conclusion In 2023, the data-driven world will be in full swing. Some of the most common ways to deploy a machine learning library in the cloud include : 1.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. Thus, was born a single database and the relational model for transactions and business intelligence. Overall, it is easier to deploy.

Database 101

Database SQL Data Warehouse Machine Learning 101

Pickl AI

NOVEMBER 4, 2024

billion in 2023 and is projected to reach USD 55.96 billion in 2023 and is projected to grow from USD 218.33 AWS Amazon Web Services (AWS) offers a comprehensive suite of cloud services, including storage (S3), data processing (EMR), and Machine Learning (SageMaker), which support various Data Engineering tasks.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

JULY 5, 2024

In a survey conducted in 2023 , over three-quarters of the executives surveyed believed that artificial intelligence would disrupt their business strategy. The generative AI solutions from GCP Vertex AI, AWS Bedrock, Azure AI, and Snowflake Cortex all provide access to a variety of industry-leading foundational models.

AI 52

AI AI Database AWS 52

Pickl AI

NOVEMBER 26, 2024

billion in 2023 and projected to grow at a CAGR of 21.2% billion in 2023 and is projected to grow to $72.96 Native Cloud Provider Tools Cloud providers such as Amazon Web Services (AWS) and Microsoft Azure offer a range of security solutions specifically designed for their environments. from 2024 to 2032.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Artificial Intelligence 52

phData

DECEMBER 1, 2023

Depending on the requirements, it could involve developing Python/Scala/SQL programs on AWS/Azure/Snowflake cloud platforms and setting up CI/CD pipelines for the seamless deployment of the project code. Yes, you heard that right. I do write code daily. How do you like working for a consulting company?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

NOVEMBER 8, 2024

Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions. Amazon S3, Azure Data Lake, or Google Cloud Storage).

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52