Artificial Intelligence
- Artificial Intelligence
- Collaboration
- Content Management
- Corporate Learning
- Digital Business
- Digital Marketing
- Digital Transaction Management
- Digital Workplace
- Enterprise Architecture
- Enterprise Video
- Intelligent Contact Center
- Intelligent Content Analytics
- Meeting Automation Platform
- Mobile and IoT
- Sales Engagement
- Talent Management
- Unified Communications and Collaboration
- Workflow and Content Automation
What Can AI Do for Your Enterprise?
Modern AI and predictive analytics give enterprises the opportunity to automate analysis of data to produce better insights than their human competitors. Better data can improve the performance of decision-makers at all levels of your organization, and it is easier to improve the data than it is to find the perfect decision-maker. Even the best leaders will improve their performance with better information.
Aragon Research can help you put artificial intelligence to work in your enterprise to meet your business goals. Download your complimentary eBook, The CEO's Guide to Building the Intelligent Enterprise, to get started.
What Is Artificial Intelligence (AI)?
AI is a discipline that attempts to create systems capable of thought or behavior based on natural processes. These natural processes include vision, language processing, reasoning, and learning. AI applies research from computer science, psychology, mathematics, linguistics, and neuroscience to develop problem-solving applications that supplant or augment human intellectual performance.
Modern AI technologies include machine learning, natural language interfaces, and a variety of technologies to support evidence-based decision-making. Supported by large data sets and modern distributed computing platforms, this stack provides the essential tools to enable today’s intelligent enterprise.
Building Your AI Roadmap
Because AI makes resources smarter, enterprises that leverage it sooner than their competitors will have a strategic advantage. Business planners need to:
- Ask their providers if they have a roadmap for AI. If your providers are not planning on developing or acquiring AI applications and technologies, begin to evaluate alternative providers.
- Understand user needs and the potential impact of emerging AI and machine learning technologies and applications. Allocation of AI investments should be first applied to areas that stand to have the biggest impact on business.
Get started with your AI roadmap by downloading your complimentary eBook.
Featured eBook
The CEO's Guide to Building the Intelligent Enterprise
featuring insights from Lead Analyst for AI Adrian Bowles, PhD
Complimentary Webinar
What is Artificial Intelligence in 2020?
On-Demand
With: Jim Lundy, CEO of Aragon Research
Conversational AI Maturity Model
Outlines a framework for comparing the depth of an AI-powered conversational interface according to its function in a specific application and discuss significant trends.
Amazon Enhances SageMaker And Wants to be Your AI Provider
There were a number of enhancements to SageMaker, which is becoming Amazon's flagship AI offering for the enterprise. This blog provides a snapshot of what was announced.
Top 4 Takeaways from Oracle OpenWorld 2019
Oracle’s shift to Conversational AI, its database wars with Amazon AWS, the new Oracle Analytics Cloud, and a great keynote about Human/Robot Interaction at OOW 2019.
AppZen Raises $50 Million in Funding for AI Auditing
Associate Analyst Samra Anees explores AppZen’s offering as well as how it fits into the trend of image analytics for claims processing use case.
- Artificial Intelligence
- Collaboration
- Content Management
- Corporate Learning
- Digital Business
- Digital Marketing
- Digital Transaction Management
- Digital Workplace
- Enterprise Architecture
- Enterprise Video
- Intelligent Contact Center
- Intelligent Content Analytics
- Meeting Automation Platform
- Mobile and IoT
- Sales Engagement
- Talent Management
- Unified Communications and Collaboration
- Workflow and Content Automation