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 61

Machine Learning Modeling Cost-Benefit Data Science 61

David Menninger's Analyst Perspectives

MARCH 23, 2023

They are using various technologies including artificial intelligence and machine learning (AI/ML) to uncover granular insights that can support decision-making. Organizations are continuously searching for new business opportunities hidden in their data.

Machine Learning 130

Machine Learning Metrics Dashboards Big Data 130

BizAcuity

AUGUST 3, 2021

To analyze the various KPI data needs to be captured, stored, and transformed into readable information easier to access and understand by any stakeholders with access to the relevant information using the technologies like big data, artificial intelligence, and machine learning. .

KPI 52

KPI Dashboards Key Performance Indicator Measurement 52

BizAcuity

AUGUST 3, 2021

To analyze the various KPI data needs to be captured, stored, and transformed into readable information easier to access and understand by any stakeholders with access to the relevant information using the technologies like big data, artificial intelligence, and machine learning. .

KPI 52

KPI Dashboards Key Performance Indicator Measurement 52

CIO Business Intelligence

MAY 21, 2024

The platform includes six core components and uses multiple types of AI, such as generative, machine learning, natural language processing, predictive analytics and others, to deliver results. Epicor Grow FP&A offers embedded financial planning and analysis to enable easy, accurate, and thorough financial reporting.

Forecasting 113

Forecasting Predictive Analytics Machine Learning Data-driven 113

David Menninger's Analyst Perspectives

MARCH 31, 2022

I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously.

Internet of Things 144

Internet of Things Dashboards Analytics IoT 144

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The worlds of data science and machine learning move at a much faster pace than data warehousing and much of data engineering.

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

CIO Business Intelligence

MAY 10, 2024

Sastry Durvasula, chief information and client services officer at TIAA, says the multilayered platform’s extensive use of machine learning as part of its customer service line partnership with Google AI makes JSOC a formidable tool for financial and retirement planning and guiding customers through complex financial journeys.

Machine Learning 112

Machine Learning Experimentation Digital Transformation Modeling 112

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

CIO Business Intelligence

MAY 20, 2024

“Fifty-seven percent of ASUG members continue to view migration to the cloud as having a significant impact on their organization’s digital transformation efforts,” Gilbert said, “and that’s just preceded as a top driver by data analytics and dashboards, which came in at 62%.”

Digital Transformation 118

Digital Transformation Dashboards Modeling Technology 118

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in SAP cloud. Per user, per month. Free tier.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

AWS Big Data

JANUARY 17, 2024

OpenSearch Service has supported both lexical and vector search since the introduction of its k-nearest neighbor (k-NN) feature in 2020; however, configuring semantic search required building a framework to integrate machine learning (ML) models to ingest and search.

Dashboards 99

Dashboards Data Processing Modeling Machine Learning 99

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Data scientists can fetch the same data that they built their visual dashboards on. Next Steps.

Dashboards 88

Dashboards Visualization Machine Learning Data Science 88

Analytics Vidhya

MAY 1, 2022

Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding. The post Getting Started with Azure Synapse Analytics appeared first on Analytics Vidhya.

Analytics 310

Analytics Predictive Analytics Dashboards Big Data 310

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). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 332

Management Machine Learning Experimentation Metrics 332

datapine

MAY 14, 2019

2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Best for: This best data science book is especially effective for those looking to enter the data-driven machine learning and deep learning avenues of the field. 4) “Machine Learning Yearning” by Andrew Ng.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

IBM Big Data Hub

FEBRUARY 2, 2024

Unlike traditional monitoring tools with rule-based monitoring or hundreds of custom-developed monitoring scripts, Databand offers self-learning monitoring. Databand for data observability uses self-learning to monitor the following: Schema changes: When a schema change is detected, Databand flags it on a dashboard and sends an alert.

Dashboards 91

Dashboards Statistics Machine Learning Enterprise 91

CIO Business Intelligence

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. Changing criteria, new data, and evolving customer conditions can cause machine learning models to get out of date quickly.

Machine Learning 134

Machine Learning Cost-Benefit Data-driven Strategy 134

Analytics Vidhya

AUGUST 31, 2022

You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine […]. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale.

Data Lake 242

Data Lake Unstructured Data Big Data Dashboards 242

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. You can watch the webinar here (registration required) to learn how to conduct FP&A storytelling in order to enhance fact-based decision making. Real-world storytelling dashboard examples.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

CIO Business Intelligence

MARCH 4, 2021

By adding artificial intelligence and machine learning, companies are transforming data dashboards and business analytics into more comprehensive decision support platforms. Business intelligence (BI) platforms are evolving.

Machine Learning 98

Machine Learning Dashboards Business Intelligence Business Analytics 98

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

CIO Business Intelligence

NOVEMBER 14, 2022

ERP dashboards. Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. Dashboards and other user interfaces that allow users to interact with and view results.

Data mining 131

Data mining Data-driven Statistics OLAP 131

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Machine learning developers are beginning to look at an even broader set of risk factors. Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Business Over Broadway

MAY 22, 2019

Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. Learn the basics of analytics; take a course in data science; this type of knowledge will help you understand the value of data and how AI/Machine Learning works. I stayed for the people.”

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Cloudera

OCTOBER 4, 2023

Ability to handle complex analytic queries — especially when we’re using real-time analytics to augment existing business dashboards and reports with large, complex, long-running business intelligence queries typical for those use cases, and not having the real-time dimension slow these down in any way.

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

CIO Business Intelligence

APRIL 8, 2024

Computer vision, AI, and machine learning (ML) all now play a role. The insights are then provided to the team captain via a dashboard on Microsoft Surface devices. Artificial Intelligence, CIO, Data Management, Data Quality, IT Leadership, Machine Learning, Predictive Analytics

Analytics 100

Analytics Broadcasting Predictive Analytics Metrics 100

AWS Big Data

NOVEMBER 28, 2023

With all the data integrated and available, Amazon Redshift empowers every data user to run analytics and build AI, machine learning (ML), and generative AI applications. Sunil Senan, SVP and Global Head of Data, Analytics, and AI, Infosys To learn more, see Aurora Docs , Amazon Redshift Docs , and the AWS News Blog.

Data Warehouse 95

Data Warehouse Data-driven Machine Learning B2B 95

Decision Management Solutions

SEPTEMBER 13, 2022

It ensures they maximize the value of business rules products and it’s super-effective at applying machine learning and similar technologies to improve business operations. I invite you to check out our training page to learn more about the classes and if you’re interested in registering, we would like to pass on a discount to you.

Machine Learning 52

Machine Learning Modeling Predictive Analytics Business Analysis 52

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 130

Data Analytics Diagnostic Analytics Management Analytics 130

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website. SDK Feature overview The QuickSight SDK v2.0

Slice and Dice 82

Slice and Dice Dashboards Analytics Interactive 82

Jen Stirrup

SEPTEMBER 30, 2021

Although CRISP-DM is not perfect , the CRISP-DM framework offers a pathway for machine learning using AzureML for Microsoft Data Platform professionals. Artificial General Intelligence The goal of AGI is to create a general thinking machine with self-sufficiency and broad human-like general intelligence. Credit: [link].

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

Dataiku

OCTOBER 2, 2020

In May 2020, Gartner’s Top 10 Trends in Data and Analytics put the evolution of the dashboard, the crown jewel of business intelligence (BI) initiatives at companies worldwide, in the spotlight.

Dashboards 66

Dashboards Machine Learning Business Intelligence Modeling 66

CIO Business Intelligence

JANUARY 17, 2024

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. Artificial Intelligence, CIO, Cloud Computing, Cloud Management, Digital Transformation, IT Leadership, Machine Learning, Microsoft Azure

Digital Transformation 114

Digital Transformation Dashboards Reporting Data Science 114

CIO Business Intelligence

JULY 5, 2022

It uses data mining, data modeling, and machine learning to answer “why” something happened and predict what might happen in the future. Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Business analytics techniques.

Business Analytics 128

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 128

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 81

Data Science Data Analytics Prescriptive Analytics Analytics 81

CIO Business Intelligence

MAY 6, 2022

Developed in partnership with industrial edge data platform provider Litmus Automation, the Manufacturing Connect tool is designed to connect to any OT asset, with a backend library that consists of over 250 machine protocols. Manufacturing apps integrate with other Google offerings.

Manufacturing 137

Manufacturing Analytics Machine Learning IoT 137