In the age of high-end tech innovation, businesses and enterprises are turning to AI-driven platforms. Such platforms are poised to make the most of a complex arrangement of components and capabilities, included but not limited to machine translation and speech recognition.
Based on the book titled “The Future Computed: Artificial Intelligence and Its Role in Society,” released by Microsoft in 2018, artificial intelligence (AI) is set to become a vital part of our lives. Microsoft has segmented a typical Artificial Intelligence framework into three parts; namely, Tools, Services, and the Infrastructure.
Since about a decade, there has been a transformation in terms of selling high-end technology. Businesses are increasingly optimizing their operational systems based on computational power, backed up by AI-powered systems residing on the Azure cloud. Those systems have been driven by the new wave of cloud-based technology.
Business Landscape powered by AI
Technology businesses have been creating services that are being used by strategic partners and clients. The businesses, in turn, are switching to in-house technologies to optimize their operations. It has taken a certain time-frame for companies to embrace the transformation in terms of costs accrued towards upgrading the technical prowess and capabilities.
Resources working in Artificial Intelligence ought to be well-versed with the Microsoft stack that is a bit complex in nature, and would require thorough know-how of the Azure cloud service. This is in addition to grasping the infrastructures, frameworks, algorithms, apps, and tools concerned.
Dynamics 365 and the Artificial Intelligence framework
Artificial Intelligence is capable of machine translation, speech recognition, decision-making, and visual perception – that require a tremendous amount of computational power. Microsoft has simplified this by offering those capabilities as a service – an organization can ‘plug in’ the AI services into their business logic, while Microsoft can take care of the precise functionality requirements.
Microsoft Dynamics 365 is capable of leveraging machine learning; for example, to gauge Sentimental Analysis used in social media. In addition, Microsoft is enabling auto-selection of articles from the knowledge base to resolve precise issues, as well as a preview feature for analyzing use-case topics.
Let us explore the components that essentially make up the ‘Azure AI Services’ package:
1. Cognitive Services
These encompass all the individual components and help in analyzing speech and voice inputs that explicitly help in customer tracking and demand generation. The cognitive framework is compatible with a large amount of user data that is analyzed with computational power.
2. Azure Machine Learning
Enterprise applications can use these capabilities for decision-making by self, and enable decision-making by detecting and correcting their behavior using live data. As such, this component acts as the Custom AI platform.
3. Azure Bot Service
The Azure Bot Service is capable of creating bots that can integrate with various apps such as Cortana, Skype, Slack, Facebook Messenger, and Office 365.
Dynamics 365 AI in the Business
The various possibilities presented by virtue of natural language processing can suggest cross-selling recommendations based on buyer history. This is complemented with Social Insights powered by LinkedIn Sales Navigator to auto-update client records.
AI will be capable of predictive scoring to qualify leads and configure their predictions using Dynamics 365 Customer Insights to locate risk factors and potential breach of SLAs in a transaction.
We wind up this discussion outlining the role of Artificial Intelligence within the Retail domain.
Artificial Intelligence in Retail
In a typical scenario of retail, AI can power sensors that can unite the physical and digital customer by virtue of a hologram and bridge the online and offline barrier; thereby maintaining a persona of the customer. This helps the retailers talk to the customer and interact consistently with them through powerful apps at the workplace, home, or on the go. Also, the Field Services artificial intelligence tool can reduce the efforts of the sales force in their resource-scheduling tasks.