Kentik

MAY 14, 2018

At last week’s ONUG Spring 2018 event in San Francisco, I moderated a panel discussion on re-tooling IT operations with machine learning (ML) and AI. The team then used machine learning algorithms to analyze time series data and generate insights relevant to Fidelity’s business objectives.

Artificial Inteligence 40

Artificial Inteligence Machine Learning KPI Open Source 40

AWS Machine Learning - AI

AUGUST 2, 2024

Generative AI empowers organizations to combine their data with the power of machine learning (ML) algorithms to generate human-like content, streamline processes, and unlock innovation. He has more than 8 years of experience with big data and machine learning projects in financial, retail, energy, and chemical industries.

Artificial Inteligence 102

Artificial Inteligence Generative AI Energy Knowledge Base 102

Altexsoft

OCTOBER 3, 2019

People analytics is the analysis of employee-related data using tools and metrics. Dashboard with key metrics on recruiting, workforce composition, diversity, wellbeing, business impact, and learning. Organizations already use predictive analytics to optimize operations and learn how to improve the employee experience.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Firemon

MARCH 12, 2025

AI-Driven Insights: Powered by nearly 50 KPIs and enriched with benchmarking and trending data, our AI engine identifies and prioritizes critical areas of concern. Trending Metrics: Track KPI progress over time to evaluate whether your management practices are driving improvement.

Network 52

Network Enterprise Artificial Inteligence Weak Development Team 52

Cloudera

JUNE 28, 2022

For each transaction, NiFi makes a call to a production model in Cloudera Machine Learning (CML) to score the fraud potential of the transaction. We trained and built a machine learning (ML) model using Cloudera Machine Learning (CML) to score each transaction according to their potential to be fraudulent.

Analytics 85

Analytics Artificial Inteligence Machine Learning Cloud 85

Altexsoft

NOVEMBER 15, 2022

Stakeholders — from property owners to managers to housekeeping staff — use this metric to make informed decisions and increase revenue per room or property. While occupancy rate is essential for deciding whether your management strategies succeed or fail, there are a few things you should keep in mind regarding this KPI. Data sources.

Hotels 52

Hotels Artificial Inteligence Machine Learning KPI 52

Kentik

APRIL 16, 2018

KPI data from network elements and monitoring probes. Application performance metrics. Big data accommodates the large datasets required to execute machine learning algorithms that can automatically detect conditions, trends and anomalies in real time. Server, OS, VM and container instrumentation.

Performance 40

Performance Cloud Big Data Artificial Inteligence 40

Altexsoft

APRIL 24, 2019

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. KPI-driven pricing.

Artificial Inteligence 73

Artificial Inteligence Machine Learning Software Review Retail 73

Altexsoft

NOVEMBER 9, 2021

Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. There’s also a concept of demand sensing that also employs machine learning to analyze current fluctuations in market conditions and consumer behavior.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. machine learning and deep learning models; and business intelligence tools. They also define KPIs to measure and track the performance of the entire data infrastructure and its separate components.

Data 87

Data Data Engineering Big Data Architecture 87

Mobilunity

JANUARY 8, 2025

Using ML (machine learning), advanced conversational analytics, and NLP (natural language processing), AI in the banking industry has reshaped the customer journey. Your conversational AI platform should offer real-time analytics on key metrics like user engagement, response accuracy, and query resolution rates.

Banking 40

Banking Artificial Inteligence Fintech Technical Review 40

Altexsoft

AUGUST 11, 2022

miles long carrying 82,000 metric tons of ore), and more sustainable (one ton of freight can be moved over 470 miles on just a single gallon of diesel fuel). KPI monitoring and analytics. Performance metrics have to be consistently monitored to uncover your company’s problem areas and development opportunities.

Technical Review 52

Technical Review Industry Technology IoT 52