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. Contact us 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 who 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.
Four AI Trends and Predictions for 2018
January 26, 2018
Summary: Looking at the five-year horizon for AI and Cognitive Computing, we see more investment in basic research, enterprise and consumer applications, and advanced hardware architectures to support these software advances. In this research note, we identify four AI trends and offer predictions for each. Read More >
The Smart City Imperative: Opportunities for Action in 2018
September 13, 2017
Summary: As the global population becomes more concentrated in urban areas, civic leaders need to plan ahead to provide effective solutions to density-related issues. From traffic congestion to infectious disease outbreaks, cities face challenges as they scale up. They also experience new opportunities. Read More >
Natural Language Generation: An AI Frontier
October 17, 2017
Summary: Natural Language Generation (NLG) is an application of AI technology that produces a context-appropriate message in human-readable form. NLG tools are rapidly emerging as alternatives to business intelligence visualization tools, content generation, and as options for custom output for conversational interfaces. Read More >
Hot Vendors in AI Chatbots, 2017
June 29, 2017
Summary: For many applications, AI Chatbots ultimately define the customer or user experience (CX/UX), so their significance as a proxy for the enterprise itself cannot be overstated. In this report, we review four 2017 Hot Vendors in AI Chatbots that showcase the potential to transform the customer relationship. Read More >
The challenge with AI is figuring out how to put it into practice inside your organization. This blog takes a look at two use cases for AI: automation and assistance, in manufacturing, pharma, and financial services. Read More >
This blog overviews how AI and Blockchain provide two different approaches to DTM. Read More >
While customer service-friendly bots are often the first off the launchpad, the bots of the future will be both software and hardware aimed at assisting humans in all types of situations. Read More >