Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Dash is an AI agent hosted in the cloud that integrates seamlessly with platforms like Slack, Microsoft Teams, and a web interface. Users can engage with Dash using natural language to retrieve data from various connected business applications, conduct research, summarize discussions, compose messages, generate reports and documents, and manage repeatable workflows. It establishes connections with supported services via OAuth and employs browser-based workflows for other online applications. Additionally, Dash has the capability to schedule recurring tasks and develop reusable skills for frequently performed jobs. Automatic reading tasks can be executed, while routine modifications such as sending messages or updating records can be set to await user confirmation. Designed with non-technical teams in mind, Dash serves founders, operations, marketing, and customer-success teams, as well as agencies aiming to streamline their efforts across different applications. Its user-friendly nature ensures that even those without a technical background can effectively leverage its capabilities for improved productivity.
Description
DashDB Local, the latest addition to IBM's dashDB suite, enhances the company's hybrid data warehouse strategy by equipping organizations with a highly adaptable architecture that reduces the cost of analytics in the rapidly evolving landscape of big data and cloud computing. This is achievable thanks to a unified analytics engine that supports various deployment methods in both private and public cloud environments, allowing for seamless migration and optimization of analytics workloads. Now available for those who prefer deploying in a hosted private cloud or an on-premises private cloud via a software-defined infrastructure, dashDB Local presents a versatile choice. From an IT perspective, it streamlines deployment and management through the use of container technology, ensuring elastic scalability and straightforward maintenance. On the user side, dashDB Local accelerates the data acquisition process, applies tailored analytics for specific scenarios, and effectively turns insights into actionable operations, ultimately enhancing overall productivity. This comprehensive approach empowers organizations to harness their data more effectively than ever before.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Adobe Document Cloud
No
Cisco AnyConnect
No
GitHub
Yes
Google Workspace
Yes
HubSpot CRM
Yes
IBM Cloud
No
Microsoft Teams
Yes
Process Street
Yes
QuickBooks Online
Yes
SAP Cloud Platform
No
Integrations
Adobe Document Cloud
Yes
Cisco AnyConnect
Yes
GitHub
No
Google Workspace
No
HubSpot CRM
No
IBM Cloud
Yes
Microsoft Teams
No
Process Street
No
QuickBooks Online
No
SAP Cloud Platform
Yes
Pricing Details
$50/month
The Team plan is $50/month for 20,000 credits shared across the workspace, with unlimited team members, no per-seat fees, and no long-term contract. Unused credits roll over monthly. Free access starts with $100 in credits and no credit card. Enterprise pricing is custom.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Process Street
Founded
2014
Country
United States
Website
dashpup.ai/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www-01.ibm.com/common/ssi/cgi-bin/ssialias
Product Features
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
Yes
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
No
Match & Merge
No