Dataconomy

AUGUST 28, 2023

For up-to-date reference on embedded software development best practices, you can go for N-ix resources. Challenges and benefits of using embedded software in IoT systems The Internet of Things (IoT) has transformed the way we live and work.

Internet of Things 172

Internet of Things 172

Dataconomy

MAY 18, 2023

Security issues in cloud computing pose significant challenges for organizations. While the cloud offers numerous benefits, it also introduces a range of risks that demand attention. Top 14 cloud security risks The landscape of cloud security is dynamic and ever-evolving, with new threats emerging constantly.

Cloud Computing 155

Cloud Computing Data Classification Cloud Data Analytics 155

AWS Machine Learning Blog

MAY 9, 2024

Organizations across industries face numerous challenges implementing generative AI across their organization, such as lack of clear business case, scaling beyond proof of concept, lack of governance, and availability of the right talent. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.

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ML ML AI AI 106

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?” Why move to cloud? CMMs are a great tool for this assessment.

Cloud Computing 82

Cloud Computing Azure AWS AI 82

Data Science Dojo

OCTOBER 10, 2023

These events often showcase how AI is being practically applied across diverse sectors – from enhancing healthcare diagnostics to optimizing financial algorithms and beyond. AI conferences and events are organized to talk about the latest updates taking place, globally. billion by 2032. billion by 2032.

AI 243

AI AI Artificial Intelligence Artificial Intelligence 243

Dataconomy

JUNE 7, 2023

Google Cloud Consulting has revealed as an ambitious plan of the tech giant to amplify its renowned service offering. Google Cloud Consulting aims to enable these leaders to fully exploit the transformative power of generative AI. What is Google Cloud Consulting? Find more info here by visiting Google Cloud Consulting.

Machine Learning 171

Machine Learning Machine Learning AI AI 171

Dataconomy

APRIL 19, 2024

Poor or inefficient data management, prolonged due diligence, and lack of data security will lead to unsuccessful M&A deals. Dealmakers can avoid all this by using efficiency-boosting M&A solutions like data room software. What is virtual data room software?

Analytics 103

Analytics Analytics 103

IBM Journey to AI blog

FEBRUARY 5, 2024

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations. a migration will be.

Cloud Computing 70

Cloud Computing Cloud Data 70

DrivenData Labs

MARCH 26, 2024

NASA's commitment to open data sharing empowers global efforts to tackle urgent issues, such as the Sustainable Development Goals. Dr. Steve Crawford, Senior Program Executive for Scientific Data and Computing at NASA Background ¶ Our world is facing many urgent challenges, such as climate change, water insecurity, and food insecurity.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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AWS AI AI ML 122

Dataconomy

MARCH 21, 2023

In the world of modern computing, containers as a service (CaaS) has emerged as a powerful and innovative approach to application deployment and management. In this article, we will explore the many advantages of CaaS for data science projects and delve into best practices for implementing CaaS in your workflows.

Data Science 70

Data Science Data Scientist Azure Data Analysis 70

Dataconomy

MARCH 21, 2023

In the world of modern computing, containers as a service (CaaS) has emerged as a powerful and innovative approach to application deployment and management. In this article, we will explore the many advantages of CaaS for data science projects and delve into best practices for implementing CaaS in your workflows.

Data Science 70

Data Science Data Scientist Azure Data Analysis 70

Dataconomy

SEPTEMBER 22, 2023

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. While we were talking about a data-driven future about 10 years ago, today we are perhaps laying the foundations of this future.

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Clustering Algorithm Data Classification Machine Learning 185

IBM Data Science in Practice

JANUARY 9, 2024

By Carolyn Saplicki , IBM Data Scientist Industries are constantly seeking innovative solutions to maximize efficiency, minimize downtime, and reduce costs. One groundbreaking technology that has emerged as a game-changer is asset performance management (APM) artificial intelligence (AI).

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ML ML AI AI 130

Dataconomy

MARCH 27, 2024

AI has transformed many industries, from automating repetitive work to enabling data-driven decisions. To integrate AI successfully into a business environment, it’s important to have a strategic vision, a thorough understanding of its potential challenges, and an in-depth knowledge of its benefits. It also drives innovation.

AI 193

AI AI Algorithm Machine Learning 193

IBM Journey to AI blog

JANUARY 30, 2024

In the last post , we looked at creating a blueprint for a sustainable data center. Now we’ll look at how to get the most out of a modern data center. Get inspired A successful data center implementation can best be described as a distributed, dynamic, efficient and resilient IT nucleus.

Cloud Computing 79

Cloud Computing Analytics Analytics Data Analysis 79

IBM Journey to AI blog

MAY 10, 2024

It is primarily used for tasks like speech recognition, image processing and complex decision-making, where it can “read” and process a large amount of data to perform complex computations efficiently. However, managing multiple GPUs on-premises can create a large demand on internal resources and be incredibly costly to scale.

Deep Learning 111

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 111

IBM Journey to AI blog

FEBRUARY 26, 2024

Outside the glitz of new phones, connected cars and 5G with everything, there are some real challenges the industry must address. Top of mind for me are three key challenges, and opportunities, to which we must all pay attention, should we expect our industry to remain healthy.

AI 102

AI AI Artificial Intelligence Artificial Intelligence 102

IBM Journey to AI blog

APRIL 15, 2024

Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. Manufacturers use summarization in different ways.

AI 102

AI AI Data Lakes Analytics 102

AWS Machine Learning Blog

DECEMBER 19, 2023

This post was written in collaboration with Ankur Goyal and Karthikeyan Chokappa from PwC Australia’s Cloud & Digital business. However, putting an ML model into production at scale is challenging and requires a set of best practices. Machine learning operations (MLOps) applies DevOps principles to ML systems.

Machine Learning 104

Machine Learning Machine Learning AWS Analytics 104

Alation

JULY 19, 2021

Metadata is information about data. Folks who work closely with data, like analysts, data scientists, and IT teams, rely on metadata to give them crucial context for how to use a given asset. Today, metadata is extremely helpful in classifying, describing, and providing critical information about digital data.

Data Governance 105

Data Governance Machine Learning Machine Learning Artificial Intelligence 105

IBM Journey to AI blog

AUGUST 3, 2023

In today’s fast-paced digital landscape, organizations need to ensure their cloud infrastructure is not only efficient and scalable but also compliant with various regulatory standards. IBM Cloud provides a powerful solution with its Infrastructure as Code (IaC) capabilities and the adoption of a shift-left approach to compliance.

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Dataconomy

MARCH 5, 2024

Welcome to the exciting world of 2024 where the startup ecosystem is buzzing with an unprecedented level of innovation and challenge. For startup owners navigating this vibrant landscape, understanding the key success factors is not just a beneficial practice—it’s an essential survival strategy.

Cloud Computing 103

Cloud Computing Machine Learning Machine Learning Analytics 103

AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. We decided to put in a joint effort to build a prototype on a best practice for MLOps.

Machine Learning 112

Machine Learning Machine Learning ML ML 112

IBM Journey to AI blog

FEBRUARY 15, 2024

Kubernetes (K8s) containers and environments are the leading approach to packaging, deploying and managing containerized applications at scale. However, the distributed flexibility that makes Kubernetes appealing can also make implementing Kubernetes monitoring and observability practices challenging.

Clustering 73

Clustering Azure Data Visualization AWS 73

AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-offs between resources, time, customer expectation, and business outcome. This custom lens integrates best practices and guidance to effectively navigate and overcome common challenges in the management of IDP workloads.

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AWS ML ML Machine Learning 84

Dataconomy

MARCH 17, 2023

In today’s era of data-driven business, managing storage infrastructure can be a complex and time-consuming process. With the growing volume and complexity of data, manual storage management tasks are becoming increasingly challenging, which can lead to inefficiencies, errors, and increased costs.

Data Science 91

Data Science AI AI 91

ODSC - Open Data Science

FEBRUARY 21, 2024

For the first time ever, the Data Engineering Summit will be in person! Co-located with the leading Data Science and AI Training Conference, ODSC East, this summit will gather the leading minds in Data Engineering in Boston on April 23rd and 24th. We’re currently hard at work on the lineup. NET, and AWS.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Precisely

MARCH 5, 2024

Companies are seeking to reduce inefficiencies and ensure greater accuracy with a proactive approach to data quality. Companies are seeking to reduce inefficiencies and ensure greater accuracy with a proactive approach to data quality. Today’s organizations use multiple technologies to automate and streamline processes.

Data Quality 52

Data Quality 52

Dataconomy

MARCH 6, 2023

It is a strategic approach to designing and managing an organization’s structure, processes, systems, and technologies to achieve its business goals and objectives. It can be defined as the practice of designing, planning, and managing an organization’s overall structure and operations.

Data Governance 103

Data Governance Data Modeling Data Models 103

Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. What is an IoT ecosystem? What is an IoT ecosystem diagram?

Data Science 70

Data Science Internet of Things Machine Learning Machine Learning 70

Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. What is an IoT ecosystem? What is an IoT ecosystem diagram?

Data Science 70

Data Science Internet of Things Machine Learning Machine Learning 70

IBM Journey to AI blog

AUGUST 18, 2023

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. the average cost of a data breach was at its highest, reaching $9.48M. In the U.S.,

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Becoming Human

MAY 11, 2023

Machine learning operations, or MLOps, are the set of practices and tools that aim to streamline and automate the machine learning lifecycle. It covers everything from data preparation and model training to deployment, monitoring, and maintenance. Model Training: Once the data is ready, it can be used to train machine learning models.

Machine Learning 78

Machine Learning Machine Learning Cloud Computing DataOps 78

IBM Journey to AI blog

JANUARY 10, 2024

Hybrid cloud has become the dominant approach for enterprise cloud strategies , but it comes with complexity and concerns over integration, security and skills. RH OCP provides a common deployment, control and management environment for workloads across a diverse set of infrastructures that underpin a hybrid cloud.

Clustering 77

Clustering AI AI Cloud Data 77

Dataconomy

JUNE 26, 2023

In today’s online environment, where data breaches and cyber threats have become all too common, applying cybersecurity standards and frameworks and ensuring the security of sensitive information has never been more crucial. Frameworks, on the other hand, provide a more flexible and customizable approach to cybersecurity.

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Smart Data Collective

DECEMBER 13, 2022

Cloud technology is changing the state of the healthcare sector. A number of hospitals are using the cloud for a variety of purposes, including improving data scalability, offering employees the opportunity to work remotely and improving patient engagement.

Cloud Computing 116

Cloud Computing 116