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.
SWOT Analysis: Google Cloud’s Artificial Intelligence Strategy
November 29, 2018
Summary: As a self-described AI company, this research note analyzes Google Cloud's strengths, weaknesses, opportunities, and threats in terms of its overall corporate strategy and its AI strategy for enterprise customers. Read More >
Smart Cities: Powered by Integrated Intelligence
July 9, 2018
Summary: Unlike enterprise executives, city executives cannot simply move to access better resources. To make better decisions, smart city executives need better data, which they can access by leveraging IoT and AI-enhanced applications. Read More >
Hot Vendors™ in Conversational AI, 2018
July 25, 2018
Summary: The benefits of adding a conversational interface to an application are clear and accrue quickly. These four Hot Vendors in Conversational AI offer tools, platforms, or services to help firms improve customer and internal effectiveness. Read More >
Summary: As chatbots rapidly become more sophisticated, this research note defines AI chatbots, discusses the technologies driving their evolution, and provides a checklist for enterprise developers. Read More >
Thoughts on IBM's Trust and Transparency Capabilities for AI
November 5, 2018
Adrian Bowles responds to IBM Watson Chief Architect Ruchir Puri's recent blog discussing IBM's new trust and transparency capabilities for AI that aim to address the critical explainability issue. Read More >
This blog overviews the current AI-trust dilemma, the concept of good and bad "AI parenting," and how to develop a line of defense against bias. Read More >