Flipboard

JUNE 13, 2025

Understanding AI ethics, cloud computing, and communication skills ensures responsible, scalable, and collaborative AI solutions that align with societal and business needs. Cloud Computing: Scaling AI Solutions Cloud computing platforms like AWS, Google Cloud, and Microsoft Azure are indispensable for deploying and scaling AI models.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

Pickl AI

MARCH 11, 2025

Summary: Big Data and Cloud Computing are essential for modern businesses. Big Data analyses massive datasets for insights, while Cloud Computing provides scalable storage and computing power. Thats where big data and cloud computing come in. billion in 2023 and is expected to grow 14.9%

Cloud Computing 52

Cloud Computing Big Data Big Data Big Data Analytics 52

ODSC - Open Data Science

FEBRUARY 17, 2023

We looked at over 25,000 job descriptions for jobs related to NLP, and here are the most important skills, frameworks, programming languages, and cloud services that you should know for careers in NLP. NLP Skills for 2023 These skills are platform agnostic, meaning that employers are looking for specific skillsets, expertise, and workflows.

Data Science 111

Data Science Deep Learning Deep Learning 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. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Pickl AI

NOVEMBER 26, 2024

Summary : Network security in cloud computing is critical to protecting data and infrastructure. Adopting cloud security best practices ensures business continuity and compliance in cloud environments. Introduction Cloud computing has revolutionised the digital landscape, offering scalable solutions for businesses.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Artificial Intelligence 52

Pickl AI

APRIL 7, 2025

Summary: This blog explains the difference between cloud computing and grid computing in simple terms. Ideal for beginners and tech enthusiasts exploring modern computing trends. Introduction Welcome to our exploration, where we highlight the difference between cloud computing and grid computing.

Cloud Computing 52

Cloud Computing Data Science Big Data Analytics Big Data Analytics 52

Smart Data Collective

OCTOBER 16, 2022

It’s an excellent idea if you have decided to move your business operations to the cloud. Cloud computing solutions can help your business reduce operational costs, gain unlimited scalability and improve external and internal collaboration. Moreover, by 2023, the figure might reach nearly $600 billion.

Cloud Computing 132

Cloud Computing Azure Cloud Data Database 132

Dataconomy

MARCH 20, 2025

The overall impact of cloud security With CNAPP comes increased scrutiny of cloud security practices. The FTC opened an antitrust investigation into Microsoft in 2023, focusing on its cloud computing and cybersecurity practices. Phishing scams targetting Microsoft Azure have really shown some big security flaws.

Cloud Computing 91

Cloud Computing Azure AI AI 91

Tableau

OCTOBER 23, 2023

George Peck Success Architect Director Kristin Adderson October 23, 2023 - 2:17pm October 24, 2023 Your first introduction to Tableau Blueprint may have been the Tableau Blueprint Assessment. Read on to learn about these updates and understand why now is the time to think about Tableau Cloud.

Tableau 123

Tableau Cloud Computing Azure Data Visualization 123

IBM Journey to AI blog

JANUARY 30, 2024

According to a recent forecast from Gartner (link resides outside ibm.com) worldwide end-user spending on public cloud services is expected to grow 20.4% billion in 2023. A multicloud is a cloud computing model that incorporates multiple cloud services from more than one of the major cloud service providers (CSPs)—e.g.,

Cloud Computing 115

Cloud Computing Data Silos Azure AWS 115

IBM Journey to AI blog

APRIL 4, 2024

Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. What is private cloud ?

Cloud Computing 115

Cloud Computing Azure Cloud Data AWS 115

DrivenData Labs

MAY 24, 2023

Their group has a proven track record in privacy-preserving machine learning with 1st place positions in the iDASH2019 and 2021 competitions on secure genome analysis, being one of the winners of the 2023 U.S.-U.K. She acted as the student lead in the PPML group's winning participation in the iDASH2021 and 2023 U.S.-U.K.

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

IBM Journey to AI blog

MARCH 28, 2024

As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. billion in 2023.

Cloud Computing 119

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 119

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Rory McManus Originally published on Towards AI. Cloud Computing, Natural Language Processing Azure Cognitive Services Text Analytics is a great tool you can use to quickly evaluate a text data set for positive or negative sentiment.

Azure 40

Azure Natural Language Processing Analytics Analytics 40

ODSC - Open Data Science

MAY 5, 2023

By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware. As such, here are a few data engineering and data science cloud options to make your life easier.

Data Science 52

Data Science Data Engineering Data Engineering Data Engineer 52

Pickl AI

DECEMBER 26, 2024

Cost Efficiency By utilizing cloud services, organisations can reduce costs related to maintaining their own data centers while benefiting from access to powerful computing capabilities on a pay-as-you-go basis. How Does Cloud Computing Support Generative AI?

AI 52

AI AI Deep Learning Deep Learning 52

ODSC - Open Data Science

MAY 25, 2023

In particular, we are excited to announce that passes for both ODSC West 2023 and ODSC APAC 2023 are now on sale. ODSC West 2023 The biggest change coming to ODSC West this year is that the conference is now 4 days instead of 3. ODSC APAC 2023 Like in past years, ODSC APAC will be virtual only.

Data Science 52

Data Science Machine Learning Machine Learning Database 52

Becoming Human

MAY 15, 2023

Things to learn: GitHub Actions , Jenkins Cloud Cloud computing refers to the delivery of computing services over the Internet, providing scalable and flexible resources to businesses and individuals. Microsoft Azure is a cloud platform that offers a range of services, including computing, storage, and databases.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

OCTOBER 3, 2024

This guide on becoming a Cloud Architect outlines the steps to help you acquire the expertise and qualifications needed to excel in this dynamic, high-demand field. Click on the link to learn the difference between Edge Computing and Cloud Computing. Who is a Cloud Architect?

Cloud Computing 52

Cloud Computing Azure AWS Computer Science 52

Dataconomy

DECEMBER 17, 2024

. “Specific hyperscalers have begun their respective journeys to develop their own custom AI accelerators or XPUs, Tan stated, pointing to partnerships with major cloud computing entities like Amazon Web Services, Google Cloud, and Microsoft Azure.

AI 91

AI AI Cloud Computing Artificial Intelligence 91

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

IBM Journey to AI blog

MAY 17, 2024

Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” ” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?”

Cloud Computing 120

Cloud Computing Azure AWS AI 120

The MLOps Blog

MARCH 23, 2023

Smart use of cloud computing for computational resources Using cloud computing services can provide on-demand access to powerful computing resources, including CPUs and GPUs. Cloud computing services are flexible and can scale according to your requirements. 2 Calculate the size of the model.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. And by 2026, more than 80% of companies will have deployed AI) ) AI-enabled apps in their IT environments (up from only 5% in 2023).

Analytics 94

Analytics Analytics ML ML 94

ODSC - Open Data Science

OCTOBER 9, 2023

BPCS’s deep understanding of Databricks can help organizations of all sizes get the most out of the platform, with services spanning data migration, engineering, science, ML, and cloud optimization. In January 2023, HPE acquired Pachyderm to expand its AI and machine learning offerings.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. billion in 2023 to $181.15 Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

AUGUST 24, 2023

Snorkel partners with leading cloud computing providers like Google Cloud and Microsoft Azure to help banks quickly and securely deploy their specialized AI applications. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Snorkel partners with leading cloud computing providers like Google Cloud and Microsoft Azure to help banks quickly and securely deploy their specialized AI applications. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Snorkel partners with leading cloud computing providers like Google Cloud and Microsoft Azure to help banks quickly and securely deploy their specialized AI applications. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Pickl AI

DECEMBER 4, 2024

As of 2023, the global Data Science market is projected to reach approximately USD 322.9 A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. Embrace Cloud Computing Cloud computing is integral to modern Data Science practices.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

billion in 2023 and is projected to reach USD 55.96 Cloud Storage: Cloud-based solutions, such as Amazon S3 and Google Cloud Storage, provide scalable and cost-effective storage options. billion in 2023 and is projected to grow from USD 218.33 The global data warehouse as a service market was valued at USD 9.06

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 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. An online business involves the use of cloud computing and storage platforms.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 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. An online business involves the use of cloud computing and storage platforms.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Mlearning.ai

FEBRUARY 16, 2023

The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Therefore, the tool is referred to as cloud-agnostic. Multi-Cloud Options You can host Snowflake on numerous popular cloud platforms, including Microsoft Azure, Google Cloud, and Amazon Web Services.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

ODSC - Open Data Science

JULY 11, 2023

Cloud data centers: These are data centers owned and operated by cloud providers, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and provide a range of services on a pay-as-you-go basis. Not a cloud computer? Singh S, ChatGPT vs Google: The ultimate comparison of 2023, on [link] 5.

Data Lakes 40

Data Lakes Cloud Computing AI AI 40

ODSC - Open Data Science

JULY 20, 2023

Those issues included descriptions of the types of data centers, the infrastructure required to create these centers, and alternatives to using them, such as edge computing and cloud computing. The utility of data centers for high performance and quantum computing was also described at a high level. Neumister L.

AI 52

AI AI Cloud Computing Data Scientist 52

ODSC - Open Data Science

JULY 25, 2023

Greater adoption of the cloud: With the growth in cloud computing, data centers will increasingly be used to support cloud services, and more companies will adopt cloud services and move their data centers to the cloud. Several factors could make having a data center obsolete, including: 1.

AI 52

AI AI Cloud Computing Artificial Intelligence 52