Artificial Intelligence (AI) refers to the development of systems that are capable of learning from experience, modeling human and machine behavior, and making decisions using learning. Advances in AI techniques include machine learning, which is the search for a set of algorithms that can perform such learning. This current wave of AI began in the 1990s. Through this blog, we will learn What is AI?
In other words, AI is the process by which computers are able to gain knowledge and intelligence without any human assistance. What makes AI so intriguing and exciting is that the potential for technology-driven jobs to be replaced by it is looming large.
What is AI?
Artificial Intelligence has multiple fields of applications in different sectors of society, and some of the most visible today are in the areas of entertainment, education, and healthcare. The immense opportunities that AI presents for efficiency and operational excellence in all of these industries will undoubtedly continue to drive demand for AI-based tools and services in the years to come. In order to meet this growing demand, companies are expected to engage in the development and deployment of AI solutions across the enterprise.
The AI Development Platform is the toolset that allows you to build, train and deploy AI solutions at scale to solve important business challenges. Many organizations have taken a modular approach to building AI solutions by developing applications in different application domains and using a cloud deployment platform to deploy the applications. These applications are then integrated with a self-service management tool that creates a consistent workflow for AI deployments across the enterprise.
However, if you are trying to build a true intelligent enterprise with real business value, then you need an AI Development Platform that brings together all of the AI solution components in a unified environment, enabling a holistic approach to AI deployment. We have developed this platform for you.
The whitepaper will also provide you with a real-world picture of the business value that AI can provide and show you how you can leverage AI to achieve your business objectives. By following this four-step process, you can build an AI Development Platform that will accelerate your time to market for AI-based business solutions, making your organization a leader in the AI revolution.
In order to execute on these, you need to make sure that the components of your AI Development Platform are appropriately architected, and you must ensure that they can be implemented at scale. To do this, you need an AI development platform with the following features:
AI Development Platform: A unified and fully integrated set of tools and services that brings together the AI development, learning, deployment, management and visualization tools and services.
Managed AI Development Platform: A toolset and associated services that you can use to implement AI development and delivery in the form of managed services.
AI Development Environment: A self-service portal that you can use to create, test, deploy and manage a variety of AI-based business applications.
AI Development Orchestration: An engine that allows you to set up and manage a defined sequence of tasks to develop, train, deploy and manage your AI solution.
AI Development Manager: An IT-based platform that allows you to build, run, manage and monitor multiple AI systems and quickly test and validate new or existing AI solutions before deploying them across the enterprise.
Artificial intelligence (AI) is rapidly transforming businesses and customer service is no exception. However, there is still much confusion surrounding the role and possible applications of AI in the customer service sphere. Today, AI solutions are being deployed in a number of different, yet interconnected, areas that affect customer service. Here are a few of the most widely deployed AI applications and how they can be implemented in a customer service context.
Know the primary functions of each AI service:
- Chatbots: The most commonly deployed application of AI in customer service today is the chatbot. Chatbots allow you to quickly and easily generate responses that can be used to engage with customers, create personas, collect feedback, and more.
- Voicebots: Voicebots use natural language processing (NLP) technology to develop responses to customer questions and concerns using spoken or text-based responses.
- Virtual Personal Assistants (VPA): VPA’s can be used to create customer service experiences, acting as a link between a customer’s device and your brand. VPA’s can also be programmed to perform a range of functions, from reminders to alerts to web surveys and more.
This brings us to the end of the blog on what is AI, we hope that you were able to learn some fundamental concepts about Artificial Intelligence. Happy Learning!