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.
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.
Upcoming AI Research
- The AI Strategic Report and Vendor Index
- The Global Cloud AI Providers: How Amazon, Google, IBM, Microsoft and Salesforce will Compete
- Separating Fact from Fiction: The Key Differences between Machine Learning, Deep Learning and Cognitive Computing
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 >
Summary: This report examines Predictive Analytics and modern Artificial Intelligence, and the importance of key emerging technologies on business decision-making from strategy through operations Read More >
Hot Vendors in AI & Streaming Analytics, 2017
June 22, 2017
Summary: Analyzing streaming data – data produced continuously by one or more sources – can provide deeper insights into the state of a business or market than analyzing static or historical data alone. In this report, we analyze four 2017 Hot Vendors in AI and Streaming Analytics enable analysis of these data sources Read More >
Summary: Aragon Research introduces its 2017 Technology Arc™for Artificial Intelligence. This inaugural edition features 31 technology and market profiles that are split between the emerging, adopting, and mature arcs Read More >
RPA bots can eliminate very low level and repetitive tasks, can assist humans in more challenging tasks, and can quickly calculate and bid on work that is waiting for assistance Read More >
Organizations have been taking advantage of emerging methods and technologies applied to customer interactions, operational productivity, and digitally-enabled business models Read More >
While customer service-friendly bots are often the first off the launch pad, the bots of the future will be both software and hardware aimed at assisting humans in all types of situations Read More >
A great user experience can establish or build a positive relationship and lasting goodwill, while a poor experience can close doors and poison the reputation. How will your customers respond to your chatbot? Read More >