Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

Computer Science 159

Computer Science Computer Science ML ML 159

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

Data Science Dojo

OCTOBER 4, 2024

Their work involves designing experiments to test computing theories, developing new computing languages, and creating algorithms to improve software and hardware performance. They employ tools such as algorithms and predictive models to forecast future trends based on present data.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

Pickl AI

AUGUST 24, 2023

The eminent name that most of the tech geeks often discuss is Cloud Computing. However, here we also need to mention Edge Computing. This blog highlights a comparative analysis of Edge Computing vs. Cloud Computing. Here are some key advantages of Cloud Computing : 1.

Cloud Computing 52

Cloud Computing Big Data Analytics Big Data Analytics Machine Learning 52

Data Science Dojo

MAY 24, 2024

They work at the intersection of various technical domains, requiring a blend of skills to handle data processing, algorithm development, system design, and implementation. Machine Learning Algorithms Recent improvements in machine learning algorithms have significantly enhanced their efficiency and accuracy.

Machine Learning 195

Machine Learning Machine Learning Deep Learning Deep Learning 195

Dataconomy

JULY 6, 2023

The complexity of AI algorithms and models poses one of the major challenges in artificial intelligence, as there is still much to be understood about their inner workings ( Image credit ) What are the challenges in artificial intelligence as of 2023? But all these do not mean there are no challenges in artificial intelligence.

Artificial Intelligence 188

Artificial Intelligence Artificial Intelligence AI AI 188

Dataconomy

MARCH 6, 2025

Definition and concept of edge AI Edge AI combines advanced algorithms with localized processing capabilities, enabling devices to analyze data on-site. Unlike cloud AI, which relies heavily on data sent to a central server, Edge AI empowers devices to make decisions instantly.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

Data Science Dojo

FEBRUARY 20, 2023

Best tools and platforms for MLOPs – Data Science Dojo Google Cloud Platform Google Cloud Platform is a comprehensive offering of cloud computing services. It offers a range of products, including Google Cloud Storage, Google Cloud Deployment Manager, Google Cloud Functions, and others.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Towards AI

JANUARY 29, 2025

Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. These are essential for understanding machine learning algorithms. Tools and Frameworks: TensorFlow, PyTorch, Keras Hugging Face, OpenAI API, Stable Diffusion 6. Problem-Solving and Critical Thinking 2. Creativity and Innovation 3.

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

Precisely

DECEMBER 12, 2024

However, the rise of cloud computing and AI has prompted many organizations to question the role of mainframes in a modern tech stack. This bias can be introduced at various stages of the AI development process, from data collection to algorithm design, and it can have far-reaching consequences.

AI 64

AI AI Algorithm Data Silos 64

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. Whereas in machine learning, the algorithm understands the data and creates the logic. Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. Where to start? Reinforcement.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. This technology is part of artificial intelligence that operates to develop communication between humans and computers.

Big Data 145

Big Data Big Data Natural Language Processing Artificial Intelligence 145

IBM Journey to AI blog

MARCH 20, 2024

Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives. What is a public cloud? A public cloud is a type of cloud computing in which a third-party service provider (e.g.,

Cloud Computing 112

Cloud Computing Internet of Things Big Data Big Data 112

Data Science Dojo

DECEMBER 13, 2024

It focuses on AI’s application in the financial sector, covering topics like algorithmic trading and risk management. It covers innovations in Microsoft’s technology suite, including cloud computing and AI, offering attendees a comprehensive overview of the latest advancements in these fields.

AI 370

AI AI Machine Learning Machine Learning 370

Flipboard

FEBRUARY 5, 2025

Lightning AI, which provides tools for developing artificial intelligence and machine learning algorithms, is getting into the business of packaging

Artificial Intelligence 141

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 141

Dataconomy

OCTOBER 11, 2024

These new technologies promise to boost AI processing power and streamline workloads for enterprises and cloud computing. AMD Turion chips: Scaling for the cloud and enterprise The event also saw the introduction of AMD’s new Turion chips, specifically optimized for different types of workloads. The new release delivers 2.4

AI 113

AI AI Cloud Computing Algorithm 113

Dataconomy

JUNE 16, 2023

Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS). The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles.

AI 193

AI AI Natural Language Processing Data Classification 193

Data Science Connect

JULY 25, 2023

AI algorithms analyze vast amounts of data to understand player preferences, behavior, and patterns. Cloud Computing for Scalability and Flexibility Cloud computing has become a fundamental technology for online casinos, offering scalability, flexibility, and cost-effectiveness.

Cloud Computing 100

Cloud Computing AI AI Artificial Intelligence 100

Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

ML 121

ML ML Machine Learning Machine Learning 121

Dataconomy

SEPTEMBER 1, 2024

In this era of modern business operations, cloud computing cannot be overlooked, thanks to its scalability, flexibility, and accessibility for data processing, storage, and application deployment. This raises a lot of security questions about the suitability of the cloud. These two intersect in many ways discussed below.

Machine Learning 103

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 103

AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. This can lead to higher latency and increased network bandwidth utilization.

AWS 112

AWS Cloud Computing ML ML 112

Data Science Dojo

MARCH 2, 2023

The conference will cover a wide range of topics, including artificial intelligence, machine learning, big data, cloud computing, and more. For the unversed, Predictive analytics is a branch of data analytics that uses historical data, statistical algorithms, and machine learning techniques to make predictions about future events.

Analytics 195

Analytics Analytics Predictive Analytics Big Data 195

Smart Data Collective

JANUARY 22, 2020

In recent years, cloud computing has gained increasing popularity and proved its effectiveness. There is no doubt that cloud services are changing the business environment. Small companies value the ability to store documents in the cloud and conveniently manage them. Risks Associated with Cloud Computing.

Cloud Computing 75

Cloud Computing Data Warehouse Database Algorithm 75

Dataconomy

OCTOBER 9, 2023

The widespread proliferation of digital devices, coupled with advancements in Natural Language Processing (NLP) and cloud computing, has led to the development of more nuanced and complex AI applications. In the 21st century, the integration of AI in education has accelerated exponentially.

AI 202

AI AI Artificial Intelligence Artificial Intelligence 202

ODSC - Open Data Science

JUNE 19, 2024

Precedence Research further highlights the impact of cloud computing, noting, “ The increasing ubiquity of cloud computing offers resources that are both affordable and scalable for the implementation of artificial intelligence (AI) infrastructure. C3 AI, Snowflake , NVIDIA , and Marvell Technology, Inc.

Cloud Computing 75

Cloud Computing AI AI Artificial Intelligence 75

Becoming Human

MAY 11, 2023

The data must be checked for errors and inconsistencies and transformed into a format suitable for use in machine learning algorithms. This involves selecting the appropriate algorithms, training the models on the data, and testing their accuracy and performance.

Machine Learning 78

Machine Learning Machine Learning DataOps Cloud Computing 78

Dataconomy

NOVEMBER 6, 2024

Environmental Impact : Cloud computing at this scale consumes vast amounts of energy. Data centers require continuous power not only for computation but also for cooling and maintaining infrastructure, which leads to a significant carbon footprint. We applied compression iteratively, reducing the model layers one by one.

AI 121

AI AI Cloud Computing Algorithm 121

O'Reilly Media

SEPTEMBER 19, 2023

Cloud computing? It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” And, often, to giving up.

Hadoop 135

Hadoop Algorithm ML ML 135

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms.

AWS 138

AWS Cloud Computing Data Lakes Database 138

IBM Journey to AI blog

JUNE 14, 2023

Key SM tools include the following: Industrial Internet of Things (IIoT) The IIoT is a network of interconnected machinery, tools and sensors that communicate with each other and the cloud to collect and share data. Cloud and edge computing Cloud computing and edge computing play a significant role in how smart manufacturing plants operate.

Internet of Things 91

Internet of Things Cloud Computing Predictive Analytics Analytics 91

Dataconomy

FEBRUARY 11, 2025

Traditionally, generative AI was confined to researchers and large organizations due to high computational requirements and complex development processes. User-friendly tools and cloud platforms These companies provide user-friendly AI tools that simplify development and deployment.

AI 103

AI AI Machine Learning Machine Learning 103

Data Science Connect

JULY 28, 2023

Integrating AI and ML for Advanced Analytics Integrating AI and machine learning algorithms into IoT data engineering allows for advanced analytics and predictive modeling, enabling IoT devices to learn from data patterns and optimize their functionality.

Internet of Things 130

Internet of Things Data Engineering Data Engineering Data Engineering 130

Dataconomy

FEBRUARY 12, 2024

These systems are inherently designed for structured data, making extracting valuable insights from unstructured sources arduous Cloud technology advancements : Cloud computing has revolutionized data storage and processing.

ETL 195

ETL Data Governance Machine Learning Machine Learning 195

AWS Machine Learning Blog

OCTOBER 30, 2023

For the full list of model IDs, refer to Built-in Algorithms with pre-trained Model Table. To see the whole list of models available with SageMaker JumpStart, refer to Built-in Algorithms with pre-trained Model Table. He is interested in the confluence of machine learning with cloud computing.

Machine Learning 107

Machine Learning Machine Learning Natural Language Processing Cloud Computing 107

Dataconomy

MAY 2, 2023

They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. They also develop algorithms that are utilized to sort through relevant data, and scale predictive models to best suit the amount of data pertinent to the business. They build the future.

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

DECEMBER 26, 2024

Computer Hardware At the core of any Generative AI system lies the computer hardware, which provides the necessary computational power to process large datasets and execute complex algorithms. How Does Cloud Computing Support Generative AI?

AI 52

AI AI Deep Learning Deep Learning 52

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113