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 Engineering 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

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.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

ODSC - Open Data Science

FEBRUARY 17, 2023

NLP Skills for 2023 These skills are platform agnostic, meaning that employers are looking for specific skillsets, expertise, and workflows. AWS Cloud, Azure Cloud, and others are all compatible with many other frameworks and languages, making them necessary for any NLP skill set.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

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

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 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

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

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

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

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

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. The AWS P5 EC2 instance type range is based on the NVIDIA H100 chip, which uses the Hopper architecture. In November 2023, AWS announced the next generation Trainium2 chip.

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AWS ML ML Clustering 98

IBM Journey to AI blog

JANUARY 30, 2024

billion in 2023. Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure—within the same IT infrastructure. For instance, an organization might use Microsoft Azure for storing data, AWS for development and testing new applications, and Google Cloud for backup and disaster recovery.

Cloud Computing 125

Cloud Computing Data Silos Azure AWS 125

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.

Power BI 84

Power BI Analytics Analytics Azure 84

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 96

ML ML Python Machine Learning 96

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 Engineer Data Engineering Data Engineering 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

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

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

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

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 102

Big Data Big Data Hadoop Azure 102

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 80

Machine Learning Machine Learning Data Analysis Data Analysis 80

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

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…….

Data Preparation 84

Data Preparation ML ML AI 84

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

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 Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

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

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 121

Deep Learning Deep Learning Machine Learning Machine Learning 121

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 126

Cloud Computing Azure AWS AI 126

ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. Stable Diffusion seems favored, perhaps due to it being largely an open-source model.

Data Science 52

Data Science Machine Learning Machine Learning AI 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

APRIL 4, 2024

In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028, and it is forecast to increase by USD 619.08 An organization can maintain sole responsibility for operating a private cloud, including its maintenance and overall management.

Cloud Computing 122

Cloud Computing Azure Cloud Data AWS 122

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 122

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 122

phData

JULY 25, 2023

We’ll help you understand what it is and how much data strategy costs in 2023. You require a data strategy service in the first place, as staying relevant in 2023 is possible only through mastering your data. You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

JULY 25, 2023

We’ll help you understand what it is and how much data strategy costs in 2023. You require a data strategy service in the first place, as staying relevant in 2023 is possible only through mastering your data. You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52