AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Improve accuracy and resiliency of analytics and machine learning by fostering data standards and high-quality data products.

IoT 111

IoT Machine Learning Metadata Data-driven 111

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 363

Management Machine Learning Experimentation Metrics 363

Cloudera

NOVEMBER 13, 2024

Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. Hosting Costs : Even if an organization wants to host one of these large generic models in their own data centers, they are often limited to the compute resources available for hosting these models.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

CIO Business Intelligence

DECEMBER 17, 2024

Cloud and the importance of cost management Early in our cloud journey, we learned that costs skyrocket without proper FinOps capabilities and overall governance. But after putting some discipline around it and pinpointing where we can optimize our operations, we have found a better balance. That said, were not 100% in the cloud.

Digital Transformation 105

Digital Transformation Data Processing Optimization Machine Learning 105

Timo Elliott

JANUARY 10, 2022

I recently had the opportunity to sit down with Tom Raftery , host of the SAP Industry Insights Podcast (among others!) Let me ask you another question: what did you enjoy most about hosting these episodes? They are applying machine learning to create more intelligent trade claims management. Live and learn.

Data Processing 122

Data Processing Machine Learning Manufacturing Technology 122

datapine

DECEMBER 11, 2019

AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities. Automation: Machine Learning, a subset of AI, is utilized in SaaS to automate responsiveness in customer service reports and applications, such as AI-powered chat operations with live chatbots.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLennans big data centers will go away once all the workloads are moved, Beswick says. Marsh McLennan created an AI Academy for training all employees.

IT 122

IT Insurance Consulting Risk 122

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. Model servers are responsible for running models using highly optimized frameworks, which we will cover in detail in a later post. Why did we build it?

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

AWS Big Data

OCTOBER 21, 2024

To achieve this, they plan to use machine learning (ML) models to extract insights from data. Next, we focus on building the enterprise data platform where the accumulated data will be hosted. In this context, Amazon DataZone is the optimal choice for managing the enterprise data platform.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

CIO Business Intelligence

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says. Marsh McLellan created an AI Academy for training all employees.

IT 105

IT Insurance Consulting Risk 105

AWS Big Data

NOVEMBER 29, 2024

The SAP OData connector supports both on-premises and cloud-hosted (native and SAP RISE) deployments. AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. integrate such extreme events, Machine Learning and AI can be utilized to help take a fresh look at models and how they can be scaled. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 100

Risk Optimization Management Insurance 100

DataRobot

JULY 27, 2021

Algorithmia automates machine learning deployment, provides maximum tooling flexibility, optimizes collaboration between operations and development, and leverages existing software development lifecycle (SDLC) and continuous integration/continuous development (CI/CD) practices. We couldn’t agree more.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

AWS Big Data

DECEMBER 5, 2024

This type of structure is foundational at REA for building microservices and timely data processing for real-time and batch use cases like time-sensitive outbound messaging, personalization, and machine learning (ML). In this post, we share our approach to MSK cluster capacity planning.

Metrics 97

Metrics Dashboards Testing Optimization 97

Smart Data Collective

JANUARY 14, 2021

Armed with the power of machine learning (ML) and natural language processing (NLP), these AI-powered chatbots can understand user queries with ease. To optimize these, you need to conduct numerous A/B tests. They can even optimize your campaigns for you. They can even optimize your campaigns for you. What’s more?

Marketing 143

Marketing Data Processing Optimization Strategy 143

datapine

SEPTEMBER 27, 2022

A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. 14) “High-Performance MySQL: Optimization, Backups, and Replication” by Baron Schwartz, Peter Zaitsev, and Vladimir Tkachenko.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

MAY 28, 2022

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 145

Insurance Machine Learning Digital Transformation Cost-Benefit 145

AWS Big Data

NOVEMBER 27, 2024

Within seconds of transactional data being written into Amazon Aurora (a fully managed modern relational database service offering performance and high availability at scale), the data is seamlessly made available in Amazon Redshift for analytics and machine learning. or a later version) database. Choose Create.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

CIO Business Intelligence

SEPTEMBER 30, 2024

Like many organizations, Indeed has been using AI — and more specifically, conventional machine learning models — for more than a decade to bring improvements to a host of processes. Asgharnia and his team built the tool and host it in-house to ensure a high level of data privacy and security.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

Smart Data Collective

NOVEMBER 18, 2020

Then artificial intelligence advances became more widely used, which made it possible to include optimization and informatics in analysis methods. Machine learning. Computers learn to act on their own, we no longer need to write detailed instructions to complete certain tasks. It hosts a data analysis competition.

Data mining 144

Data mining Data Science Informatics Statistics 144

CIO Business Intelligence

AUGUST 7, 2024

But how will it change IT operations and what’s needed to support the next generation of AI and machine learning applications? We manage some locally hosted energy solutions where there’s a control network, which may be feeding into a local network, which then feeds into the cloud, which then comes through another set of firewalls….”

Data Processing 139

Data Processing Data-driven Enterprise Machine Learning 139

Smart Data Collective

MAY 17, 2021

Big data solutions are often created and supported using various technologies from IIoT to machine learning and AI. All that performance data can be fed into a machine learning tool specifically designed to identify certain events, failures or obstacles. It also introduces operational efficiencies.

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132

AWS Big Data

MARCH 13, 2024

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. With optimized configuration, it aims for high recall for the queries. This is where the Retrieval Augmented Generation (RAG) technique comes in.

Data Processing 132

Data Processing Dashboards Machine Learning Metrics 132

Cloudera

JANUARY 24, 2023

This includes decisions around the optimal amount of cash in every bank’s ATM, or proactively classifying every digital transaction as fraud/non-fraud, which are now driven through data and AI. The post United Bank Limited optimizes its data analytics with the Cloudera Data Platform (CDP) appeared first on Cloudera Blog.

Optimization 80

Optimization Data Analytics Analytics IT 80

Cloudera

OCTOBER 25, 2023

That’s why Cloudera and AMD have partnered to host the Climate and Sustainability Hackathon. The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today.

Machine Learning 102

Machine Learning Forecasting Data-driven Data Science 102

Smart Data Collective

JULY 27, 2021

According to most marketing experts, content is probably one of the most important areas to emphasize in Search Engine Optimization (SEO). You can also use cloud hosting to improve the uptime of your squeeze pages, which increases the conversion rates of your landing pages. You also need to explore guest posting.

Technology 130

Technology Data Processing Marketing Optimization 130

CIO Business Intelligence

OCTOBER 10, 2024

Hosted in Dubai from October 14-18, GITEX will showcase cutting-edge innovations and provide a platform for global experts to discuss the latest advancements in technology. As the United Arab Emirates prepares to host COP28 later this year, GITEX will emphasize how technology can support environmental, social, and governance initiatives.

Technology 116

Technology Digital Transformation Data Processing Machine Learning 116

AWS Big Data

NOVEMBER 11, 2024

This can help you optimize long-term cost for high-throughput use cases. In the past, M has supported and built systems to process terrabytes of streaming data at low latency, run enterprise Machine Learning pipelines, and created systems to share data across teams seamlessly with varying data toolsets and software stacks.

Metadata 122

Metadata Metrics Analytics Data Processing 122

datapine

JANUARY 21, 2020

Artificial intelligence and machine-learning algorithms used in those kinds of tools can foresee future values, identify patterns and trends, and automate data alerts. Operational optimization and forecasting. Cost optimization. Another important factor to consider is cost optimization. Cost optimization.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

JUNE 18, 2024

Tapping into the Dell AI Factory, organizations get to benefit from powerful, GPU-accelerated AI , regardless of whether they choose to host their workloads on-premises, or in private or public clouds. Equipped with machine learning capabilities, Digital Assistants can even personalize conversations.

Data-driven 119

Data-driven Cost-Benefit Data Processing Machine Learning 119

CIO Business Intelligence

APRIL 11, 2024

Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner.

Enterprise 125

Enterprise IT Data Processing Strategy 125

CIO Business Intelligence

FEBRUARY 27, 2023

Since then, Barioni has taken control of the situation, putting into action a multi-year plan to move over half of Reale Group’s core applications and services to just two public clouds in a quest for cost optimization and innovation. Why build a multicloud infrastructure? Only 22% cited the single pane of glass that Sankaran relies on.

Cost-Benefit 143

Cost-Benefit Insurance Enterprise Optimization 143

Smart Data Collective

JUNE 4, 2021

Basics of Machine Learning. Machine learning is the science of building models automatically. Whereas in machine learning, the algorithm understands the data and creates the logic. Whereas in machine learning, the algorithm understands the data and creates the logic. Semi-Supervised Learning.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

CIO Business Intelligence

AUGUST 8, 2022

Here are the top three factors to consider before migrating your contact center to the cloud: Avoid a rush to the cloud : Contact center software that has been optimized over the years cannot simply be rewritten and moved to a new CCaaS platform. Those were refined over time and can’t be immediately replicated in a new system from day one.

Cost-Benefit 98

Cost-Benefit Optimization Data Processing Software 98

Smart Data Collective

FEBRUARY 20, 2022

Its cost-effective service solutions ensure that you can optimize costs, organize data, and provide access controls to meet your business, organizational, and regulatory needs. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Management of data. Easy to use.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138