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What is IBM Streams?

IBM Streams processes a wide range of streaming information, encompassing unstructured text, video, audio, geospatial data, and sensor inputs, which allows organizations to discover opportunities and reduce risks while making prompt decisions. Utilizing IBM® Streams, users can convert swiftly evolving data into valuable insights. This platform assesses different types of streaming data, equipping organizations to detect trends and threats as they emerge. When combined with the other features of IBM Cloud Pak® for Data, which is built on a versatile and open framework, it boosts collaboration among data scientists in crafting models suitable for stream flows. Additionally, it enables the real-time evaluation of extensive datasets, making it easier than ever to extract actionable value from your data. These capabilities empower organizations to fully leverage their data streams, leading to enhanced outcomes and strategic advantages in their operations. As a result, organizations can optimize their decision-making processes and drive innovation across various sectors.

What is FastSensor?

Enhancing customer interactions from the outset in a more significant way can lead to increased affinity and improved operational efficiency. Employing insightful data analytics tailored to each customer engagement allows for the creation of seamless events, booths, and beyond. FastSensor AI tracks foot traffic within and around your venue, converting this movement into valuable insights. By analyzing these data points, FastSensor AI uncovers critical trends and translates them into advanced analytics. As a SaaS ecosystem integrated with AI and hardware, FastSensor evaluates interconnected experiences to reveal optimizations that can greatly enhance ROI. It provides metrics akin to those found in eCommerce, connecting every phase of the physical journey and identifying crucial opportunities throughout your conversion pipeline. Furthermore, our flexible ecosystem enables businesses to craft personalized solutions that align with their distinct KPIs and goals, ensuring attention is directed towards what matters most while promoting ongoing progress. This strategy not only fortifies customer relationships but also fosters long-term growth and innovation, creating a dynamic cycle of improvement. Ultimately, this comprehensive approach positions businesses to adapt swiftly to changing market demands and customer preferences.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$78 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/streaming-analytics

Company Facts

Organization Name

GTI Technologies

Company Location

United States

Company Website

fastsensor.us

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

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