IBM Data Science in Practice

NOVEMBER 28, 2022

As organizations steer their business strategies to become data-driven decision-making organizations, data and analytics are more crucial than ever before. How can organizations get a holistic view of data when it’s distributed across data silos? Implementing a data fabric architecture is the answer.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

IBM Data Science in Practice

DECEMBER 7, 2022

One of the key elements that builds a data fabric architecture is to weave integrated data from many different sources, transform and enrich data, and deliver it to downstream data consumers. Studies have shown that 80% of time is spent on data preparation and cleansing, leaving only 20% of time for data analytics.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation ETL 130

Dataconomy

DECEMBER 13, 2023

Integrating Artificial Intelligence (AI) into supply chain management has profoundly affected how organizations function and has brought numerous advantages. AI Supply Chain Software as a Solution Lately, software solutions powered by artificial intelligence (AI) have become increasingly popular in supply chain management.

AI 155

AI AI Artificial Intelligence Artificial Intelligence 155

IBM Data Science in Practice

MARCH 8, 2023

Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem. In regards to the challenge of operationalizing machine learning, this problem prompted a surge of investment to find a solution.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Dataconomy

MAY 30, 2023

Data management As we have said, training AI requires a large amount of data to build a foundational model. meaningfully tagged) and ‘unlabelled’ (untagged) data, using the already-meaningful (labelled) data to train the AI and improve performance on processing the unlabelled data. AI in Practice: Yepic.AI

AI 182

AI AI Artificial Intelligence Artificial Intelligence 182

Dataconomy

MARCH 28, 2024

Analysis of calls and quality control of interactions are among the main components of any call center’s operation, regardless of whether these are sales departments, user support services, or hotlines. It opens up new possibilities by providing data and insights that help make informed decisions. More than one year!

Analytics 185

Analytics Analytics 185

Dataconomy

SEPTEMBER 20, 2023

Alaya AI has rolled up its digital sleeves to make AI data collection and labeling far more efficient and inclusive. But how does it manage to do that? Alaya AI operates as a comprehensive AI data platform with its roots in Swarm Intelligence. Alaya AI takes on the crucial role of the data provider in this ecosystem.

AI 113

AI AI Data Quality Artificial Intelligence 113

Dataversity

DECEMBER 12, 2023

The insurance industry and the broader risk management sector have long contended with Data Management issues. Updating and integrating legacy systems while ensuring quality across the board has proved difficult for most people in these fields.

Data Science 59

Data Science 59

Smart Data Collective

SEPTEMBER 28, 2022

quintillion bytes of data are generated each day? Businesses are having a difficult time managing this growing array of data, so they need new data management tools. Data management is a growing field, and it’s essential for any business to have a data management solution in place.

Big Data 105

Big Data Big Data Big Data Analytics Big Data Analytics 105

Precisely

FEBRUARY 29, 2024

The business processes themselves are complex, as are the data objects associated with each SAP record. Complex, data intensive SAP processes that involve constituents across an organization are often difficult to analyze fully since they frequently have multiple contingencies depending on specific parameters.

Data Quality 59

Data Quality 59

AWS Machine Learning Blog

APRIL 24, 2024

The Amazon D&C team implemented the solution in a pilot for Amazon engineers and collected user feedback. In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning.

AI 111

AI AI Data Science AWS 111

AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

Machine Learning 114

Machine Learning Machine Learning ML ML 114

AWS Machine Learning Blog

DECEMBER 19, 2023

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Manual workflows limit ML lifecycle operations to slow down the development process, increase costs, and compromise the quality of the final product.

Machine Learning 105

Machine Learning Machine Learning AWS Analytics 105

Dataconomy

APRIL 24, 2024

The sales management landscape is very dynamic, so staying ahead of the curve requires leveraging the best tools. In 2024, sales managers have many innovative solutions they can use. In this article, we explore the modern sales manager’s toolkit, providing insights into the best tools available today.

Analytics 103

Analytics Analytics Predictive Analytics AI 103

AWS Machine Learning Blog

MAY 9, 2024

The CoE team synergizes business acumen with profound technical AI/ML proficiency to develop and implement interoperable, scalable solutions throughout the organization. Dream team Cross-functional engagement is essential to achieve well-rounded AI/ML solutions.

ML 108

ML ML AI AI 108

DagsHub

MAY 6, 2024

They collaborate with air quality providers to pinpoint sources of pollution, enabling more efficient air cleaning methods. Challenges Before DagsHub, MACSO faced several challenges in their ML workflow: Experimentation Overhead : The complexity of managing and tracking numerous experiments was stifling innovation.

ML 52

ML ML AI AI 52

IBM Journey to AI blog

APRIL 16, 2024

As technology expands, at TechD , we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. Our partnership with IBM facilitates the delivery of scalable solutions, rapidly implementable by organizations.

Natural Language Processing 86

Natural Language Processing Database AI AI 86

Precisely

MAY 16, 2024

Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Why Does Data Integrity Matter for AI Success?

AI 59

AI AI AWS Data Quality 59

Dataconomy

SEPTEMBER 4, 2023

The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. It helps organizations understand trends, patterns, and anomalies in their data.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Dataconomy

DECEMBER 22, 2023

One key aspect of achieving excellence and gaining an edge is efficiently managing assets. To streamline asset management processes, businesses can leverage the power of asset management software. Predictive maintenance: Asset management software monitors machine performance and identifies patterns that indicate failures.

Database 103

Database Analytics Analytics Data Science 103

Dataconomy

SEPTEMBER 6, 2023

They offer a range of services, from security monitoring and incident response to vulnerability management and penetration testing. A Managed Security Service Provider (MSSP) is a company that provides outsourced cybersecurity services to businesses ( Image credit ) What is a Managed Security Service Provider (MSSP)?

Azure 185

Azure AWS 185

IBM Journey to AI blog

MAY 7, 2024

Imagine that you are a talent acquisition manager at a large corporation, and you’re struggling to find suitable candidates for a critical role. This results in wasted valuable time and resources on manual screening, causing frustration among hiring managers. This scenario is common in fast-paced business environments.

AI 59

AI AI Artificial Intelligence Artificial Intelligence 59

Dataconomy

AUGUST 24, 2023

In the modern era of data-driven decision-making, business intelligence projects have become the cornerstone for organizations aiming to harness their data for strategic insights. There are perhaps thousands of different approaches to the analysis of data, each with the potential to create new business intelligence projects.

Business Intelligence 172

Business Intelligence Business Intelligence Data Analysis Data Analysis 172

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions.

Data Governance 52

Data Governance Data Pipeline Data Quality Cloud Data 52

AWS Machine Learning Blog

DECEMBER 18, 2023

In simple terms, ISO 42001 is an international management system standard that provides guidelines for managing AI systems within organizations. International standards foster global cooperation in developing and implementing responsible AI solutions.

AWS 128

AWS AI AI Machine Learning 128

IBM Journey to AI blog

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

Data Governance 73

Data Governance Data Silos Data Quality Predictive Analytics 73

IBM Journey to AI blog

JANUARY 26, 2024

Founded in 2006, Shuto Technology is a leading asset management solution provider in China that focuses on helping industry-leading enterprises build asset operation and management platforms, and empower their core competitiveness through digitalization.

AI 78

AI AI Database 78

Dataconomy

MAY 6, 2024

Google Kubernetes Engine (GKE) is a robust solution designed to simplify containerized application management. Understanding Google Kubernetes Engine At the heart of GKE is a managed environment that makes running Kubernetes operations do away with the complexities. For additional info , check the detailed explanation.

Clustering 103

Clustering Cloud Computing 103

IBM Journey to AI blog

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies.

Internet of Things 92

Internet of Things Machine Learning Machine Learning AI 92

Becoming Human

MAY 8, 2024

At the core of these advancements lies voice data, a crucial component for training algorithms to understand and respond to human speech. The quality of this data significantly impacts the accuracy and efficiency of speech recognition models. This challenge involves meticulous data processing and verification.

Machine Learning 52

Machine Learning Machine Learning Data Quality Artificial Intelligence 52

Dataconomy

AUGUST 29, 2023

At its core, IoT refers to the interconnection of everyday objects, devices, and systems through the internet, enabling them to collect, exchange, and analyze data. Industrial IoT (IIoT) has transformed manufacturing processes, optimizing production, predictive maintenance, and supply chain management.

Internet of Things 172

Internet of Things AI AI Machine Learning 172

Smart Data Collective

OCTOBER 26, 2023

Description: Looking for a comparison between Jira Service Management and Zendesk? Big data and technical support services are twin pillars of successful organizations. Zendesk and Jira Service Management are two of the most popular. Discover the key differences between these two popular platforms in our comprehensive guide.

Analytics 104

Analytics Analytics Data Analysis Data Analysis 104

Smart Data Collective

AUGUST 2, 2022

The automotive sector is changing from an industry focused on performance and design to a market defined by the quality and usability of delivered automotive software, which is made available by remarkable advances in AI. The impact of automotive software solutions is so crucial nowadays, that experts coined the term software-defined vehicle.

AI 127

AI AI Artificial Intelligence Artificial Intelligence 127

AWS Machine Learning Blog

OCTOBER 2, 2023

In Part 1 of this series, we drafted an architecture for an end-to-end MLOps pipeline for a visual quality inspection use case at the edge. It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. Labeling jobs are used to manage labeling workflows.

AWS 94

AWS Internet of Things ML ML 94

ODSC - Open Data Science

MAY 15, 2023

Enterprises spend an average of $15M annually on data & AI initiatives. This means a lot of money and effort is going into advancing data & AI capabilities, but companies are still struggling to see the business value. This ties tactical capabilities (like data stewardship) to real business value.

AI 95

AI AI Data Quality Data Pipeline 95

AWS Machine Learning Blog

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

AWS 112

AWS Data Science ML ML 112

Dataconomy

JULY 26, 2023

When applied to contracts, NLP can simplify and enhance various aspects of contract management. By utilizing NLP techniques and tools, companies can streamline their operations, enhance their contract management processes, and ultimately drive greater value for their business. But how about NLP for contracts?

Natural Language Processing 171

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 171