Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This blog post hopes to provide this foundational understanding. What is Machine Learning.

Machine Learning 94

Machine Learning Sales Data Science Modeling 94

IBM Big Data Hub

FEBRUARY 13, 2024

Driving optimal application performance while minimizing costs has become paramount as organizations strive for positive user experiences. The significance of optimizing application performance Optimizing application development and performance is a must in a world where a user’s experience can control a business’ trajectory.

Optimization 71

Optimization Metrics Machine Learning Dashboards 71

Analytics Vidhya

APRIL 28, 2023

Introduction Predicting patient outcomes is critical to healthcare management, enabling hospitals to optimize resources and improve patient care. Machine learning algorithms or deep learning techniques have proven valuable in survival prediction rates, offering insights that can help guide treatment plans and prioritize resources.

Deep Learning 245

Deep Learning Machine Learning Optimization Management 245

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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 58

Machine Learning Data Science Statistics Deep Learning 58

IBM Big Data Hub

JULY 5, 2023

However, cloud services costs can be higher than anticipated, so monitoring and optimizing your cloud spend is critical. Cloud cost optimization combines strategies, techniques, best practices and tools to help reduce cloud costs, find the most cost-effective way to run your applications in the cloud environment, and maximize business value.

Optimization 69

Optimization Forecasting ROI Metrics 69

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

IBM Big Data Hub

AUGUST 8, 2023

The very features that make Kubernetes so attractive are also contributing to a complex and dynamic cloud infrastructure, leading to new cost drivers that demand careful attention and optimization strategies. Now available in the IBM Cloud catalog Sign up for a 30-day free trial of StormForge Optimize Live to get started.

Optimization 53

Optimization Cost-Benefit Machine Learning ROI 53

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. optimizing inventory) by identifying trends and gathering insights from large volumes of data.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Cloudera

DECEMBER 20, 2022

With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. To cope with these changes in demand and avoid overloads distribution companies will have to invest in optimizing the grid, which may put pressure on profitability and cash flows. .

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossible business challenges effectively and at scale.

Machine Learning 91

Machine Learning Predictive Analytics Analytics Enterprise 91

Cloudera

AUGUST 31, 2018

We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Witnessing these challenges, we focused on solving them through machine learning applied to workload and cluster optimization.

Machine Learning 67

Machine Learning Analytics Optimization Big Data 67

Cloudera

APRIL 10, 2021

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. .

Machine Learning 62

Machine Learning Modeling Cost-Benefit Data Science 62

IBM Big Data Hub

JULY 25, 2023

This software, and the insights it provides, can help providers predict demand patterns, identify potential issues and optimize the distribution network. Optimizing your smart grid Smart grid technology has countless benefits, including increased grid efficiency and reliability and easy integration with renewable energy sources.

Optimization 59

Optimization Technology Measurement Cost-Benefit 59

Smart Data Collective

AUGUST 12, 2019

The search engine optimization profession relies heavily on big data. However, Google isn’t the only company using AI and machine learning in search. Machine Learning is Changing the Art of Link building. Machine learning is playing an important role in the nature of SEO strategies, including building links.

Machine Learning 76

Machine Learning Marketing Strategy Publishing 76

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. This blog highlights some notable findings and the videos from participating vendors.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

JULY 15, 2021

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. The group was unanimous in the potential of Machine Learning and AI – “it is the way of the future”. Challenges of implementing ML and AI at scale.

Risk 98

Risk Optimization Management Insurance 98

Decision Management Solutions

MAY 14, 2020

James, thank you for the opportunity to guest blog in your series on Decision Optimization. As James has discussed, optimizing decisions can be complex, requiring the management of many conflicting trade-offs, but often with huge benefits. First to introduce myself…. But what might this look like?

Optimization 75

Optimization Key Performance Indicator Strategy KPI 75

IBM Big Data Hub

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. Each step in the journey demands adopting new processes and ways of working, which dedicated best practice tools and optimization models support.

Management 92

Management Internet of Things Risk IoT 92

Rita Sallam

JUNE 2, 2023

Are there mitigation strategies that show reasons for optimism? The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. This blog highlights some notable findings and the videos from participating vendors.

Optimization 52

Optimization Insurance Machine Learning Risk 52

Domino Data Lab

FEBRUARY 10, 2019

This blog post provides insights into why machine learning teams have challenges with managing machine learning projects. Why are Machine Learning Projects so Hard to Manage? I’ve watched lots of companies attempt to deploy machine learning? Why is this?

Machine Learning 63

Machine Learning Modeling Deep Learning Metrics 63

IBM Big Data Hub

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. GPUs can rapidly process large datasets and greatly decrease time spent training machine learning models.

Deep Learning 92

Deep Learning Cost-Benefit Manufacturing Optimization 92

IBM Big Data Hub

AUGUST 7, 2023

Embracing AI for clinical trials: The elements of success By embracing three AI-enabled capabilities, biopharma companies can significantly optimize clinical trial site selection process while developing core AI competencies that can be scaled out and saving financial resources that can be reinvested or redirected. Clinical Trials.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Bandwidth optimization. This optimization improves efficiency and reduces costs. Dell Technologies is leading the way with the technology needed to build a future-ready, optimized edge.

Forecasting 100

Forecasting Optimization Advertising IoT 100

Cloudera

NOVEMBER 29, 2023

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments.

Modeling 85

Modeling Machine Learning Metadata Metrics 85

Smarten

JUNE 14, 2023

GPT-4 has a capacity of more than 175 billion machine learning parameters, and can support many types of tasks, e.g., answering questions, providing machine translation, summarizing text, time series forecasting, etc. If we are to safely and securely optimize its potential, GPT must be managed as it evolves.

Optimization 52

Optimization IT Digital Transformation Consulting 52

DataRobot Blog

APRIL 15, 2022

There is a need to optimize supply to meet demand. Now that we understand how to measure the available solar energy, we can use DataRobot to employ the latest machine learning techniques to forecast the solar energy for producing solar based electricity. Learn more. One such traditional method is mentioned in this paper.

Forecasting 52

Forecasting Optimization Measurement Machine Learning 52

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

Optimization 82

Optimization Measurement Testing Publishing 82

IBM Big Data Hub

OCTOBER 4, 2023

IBM and Intel have a long history of collaboration on data and AI products, including AI acceleration with IBM Watson NLP Library for Embed with OneAPI, the optimization of IBM Db2 on Intel Xeon platforms, and now, watsonx.data. The post Common Grounds: Unleashing innovation and growth through partnership appeared first on IBM Blog.

Optimization 105

Optimization Machine Learning Business Intelligence Reporting 105

Smart Data Collective

MAY 11, 2023

Bhaval Patel of Space-O Technologies wrote a blog post about the growing importance of AI for mobile apps. In this blog post, we will explore how AI-driven app development strategies can help your e-commerce business stay ahead in the mobile-first world. AI has been invaluable for e-commerce brands.

Cost-Benefit 99

Cost-Benefit Optimization Data-driven Marketing 99

Smarten

JANUARY 23, 2024

Forbes states that, ‘AI/ML tools, approaches and algorithms can contribute to finding new business opportunities, market optimization and more effective marketing and sales.’ The use of AI in analytics can be very beneficial today, with the promise of even more benefits in the future.’

Analytics 62

Analytics Machine Learning Cost-Benefit Advertising 62

Data Science 101

JANUARY 22, 2020

Those blog posts were for the old exam which focused on the legacy Azure Machine Learning Studio interface and general data science knowledge. Azure Machine Learning Names. The names are similar and a bit confusing, but Microsoft is putting a lot less focus on the older Machine Learning Studio.

Data Science 115

Data Science Machine Learning Modeling Optimization 115

Dataiku

JUNE 9, 2020

In the last few years a lot of research has been done into how to automate the process of building machine learning models. There is now a wide array of open source libraries offering AutoML. How do they relate to one another, and more importantly, how do they compare?

Optimization 66

Optimization Machine Learning Testing Software 66

Cloudera

OCTOBER 18, 2023

Historically, firms have relied on high-cost, third-party solutions to help identify savings opportunities, however, the landscape is rapidly changing, and the emergence of AI and machine learning (ML) has ushered in a new era of possibilities.

Cost-Benefit 77

Cost-Benefit Testing Machine Learning Optimization 77