Over the next five years, business executives around the world expect AI to have a positive impact on growth, productivity and job creation in their country and industry. According to Gartner, “Any organization in any industry, especially those with very large amounts of data, can use AI for commercial value.” (Gartner, 201 201)
But there is a challenge as well. Companies are still struggling to translate this huge potential into practical benefits. Gathering the right barriers is one of the major hurdles to turn all these possibilities into one comprehensive strategy.
Microsoft’s vision for the enterprise is to enable every company to change by bringing AI for every application, every business process, and every employee. This strategy can help enterprises achieve what they once thought possible.
One of the obvious use cases of AI is developing applications with intelligent capabilities. This provides a tremendous opportunity to increase the functionality of business applications and turn them into tools for greater employee productivity and more effective customer engagement. However, most application developers do not yet have experience in creating this type of software.
Developers can learn how to integrate AI into every application by leveraging the tools and resources available today. These devices can be used to build the next generation of smart applications on intelligent cloud, on-premises and intelligent edge:
To find out how to build intelligent apps, data scientists and developers can refer to the Azure AI platform site to get started.
Azure offers a set of prebuilt services (Cognitive Services) that can help make AI more intelligent and attractive in applications.
For more advanced requirements, custom models can be created using Azure Machine Learning Studio. You can use this fully managed cloud service to easily create data and create and train custom models.
Data science VMs are available that developers can save by providing ready-to-use images that they can easily provision in Azure.
Chatbots and virtual agents provide solutions that meet customer demands for seamless, personalized, accessible touchpoints on all channels. They can help employees connect to resources more quickly.
Every business process
The Internet has completely changed the way we do business today, greatly increasing productivity and production. AI will have the same effect by enabling organizations to make better informed decisions. It will be easier to gain insights from the data, helping organizations expand customer engagement, optimize operations and improve offerings. This will make the work more efficient and save employees time, so they can focus on higher priorities.
Industries are needed to improve decision making. Microsoft is working on solutions that accelerate business transformation with enterprise-ready, AI-transmitted experiences. These experiences are built into the products and services used by organizations every day:
Financial services can benefit AI by influencing it in risk analysis and fraud prevention.
Machine learning can create more accurate risk, fraud, and customer models to reduce hidden risks and reduce operating costs (PWC, 2018). AI can offer predictive maintenance to the manufacturing industry by providing maintenance technicians with an estimate of the life of the machines and their components (Capgemini, 2017).
Microsoft is very focused on using AI in the healthcare industry. There are many challenges for health organizations as they strive to improve patient experiences and outcomes, including physician shortages, time and cost pressures, and increased patient needs.
AI has the potential to empower all people — not just technical staff — to achieve more. For employees to realize the full potential of AI, enabling them to become civilian data scientists is important. Only then will the entire organization be able to make better decisions, gain new insights, and perform complex analysis using AI.