4 use cases leveraging the potential of AI and ChatGPT to create next-generation applications

05/25/2023 |


Digital event:
 Discover how to maximize the value of your data with advanced analytics and ChatGPT technologies.


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Artificial intelligence (AI) and Generative Pre-trained Transformer (GPT) technology have emerged as powerful tools capable of transforming the way companies operate and make strategic decisions. The adoption of these technologies to drive digital innovation will generate a very significant impact for those companies that are able to maximize their potential by creating next-generation business applications.

In this article, we explore the benefits of AI adoption with ChatGPT through 4 use cases, using the capabilities of Microsoft Azure Cognitive Services and Azure OpenAI Services:

1. Improve the user experience and reduce the workload of the Helpdesk team.


Business application:
Virtual customer service assistant.

How: By leveraging the potential of Azure Cognitive Services’ Language Understanding Conversational AI Service (LUIS), the virtual assistant is able to interact naturally and provide faster and more accurate responses to user queries and even understand the intent of the query.

2. Improve productivity and personal organization


Business application:
 Personalized virtual assistant for task management.


How:
 Using Language Understanding (LUIS) and Text Analytics, the assistant can understand user requests and questions, track tasks, send reminders and provide personalized recommendations.

3. Increase engagement and drive sales


Business application:
 Virtual assistant for personalized recommendations.

How: ChatGPT can be combined with Azure Cognitive Services’ Personalizer service to develop a virtual assistant that provides personalized recommendations to users based on data history and behavioral patterns, among others.

4. Increase the efficiency of business processes with quick access to information.


Business application:
 Virtual assistant for internal corporate information search.


How:
 Leveraging Azure Cognitive Search to perform semantic searches by indexing all types of documents, files and internal databases, along with ChatGPT offering a conversational interface to process user queries, with the goal of finding specific information faster, more accurately and securely.

As artificial intelligence and GPT technology continue to evolve, more use cases will emerge whose application in business processes will become an important part of the business process. must in digitally ambitious companies, due to its great usefulness and efficiency, in order to continue advancing their business objectives in an increasingly competitive world.


Discover in this digital event
 how to build a modern Data Warehouse and how to connect ChatGPT with your business data in a secure way, through different use cases and practical examples.

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Inefficient business processes? 5 practical tips to automate them with artificial intelligence

05/05/2022 |

¿Procesos de negocio poco eficientes? 5 consejos prácticos para automatizarlos con IA

Insights from the digital event: “Discover how to take the automation of your business processes to the next level thanks to artificial intelligence.”

It won’t be the first time you’ve read that digitization has gone from being an option to being an obligation. Hybrid work and the competitive advantage provided by new technologies have pushed companies to accelerate their digitization to adapt, modernize and continue to compete in their sector.

Now, with corporate resources and assets already digitized, many business processes continue to be manual and repetitive tasks. This implies that they are not very efficient and, therefore, more expensive. This is where the automation of processes comes into play, with undeniable utility, so that people dedicate themselves to tasks of greater value to the business. But it’s not just about automating repetitive tasks, we can take automation to the next level thanks to artificial intelligence .

However, building AI from scratch is difficult, expensive and time consuming, so in most cases it will not be a cost-effective option. Therefore, the optimal thing is to take advantage of existing solutions such as Power Platform , a set of intelligent tools in the Microsoft cloud that help us digitize, create and automate our business processes.

How to apply artificial intelligence to process automation, without science fiction

In this context, from Softeng we have organized a digital event with the aim of sharing, without technicalities and with practical examples, how we can maximize the potential of Power Platform tools combined with artificial intelligence in the Microsoft cloud to automate and enrich the business processes more efficiently and take advantage of all the information it provides us; and take automation to the next level.

Through a demo, Marc Jordana and Joseph Valdivia, experts in Microsoft 365 , have carried out a process of automating a usual financial process for managing invoices, which is very manual and repetitive, using RPA desktop flows and applying a artificial intelligence layer to extract the information that interests us from each document – specifically, pdfs -, just as a person would do, and, as a last step, store it centrally in a database in Dataverse to have all that information of value available to exploit it later.

Five practical tips

As a conclusion of the digital event, we can extract 5 practical tips to carry out the automation of your business processes by applying Microsoft artificial intelligence , in order to achieve greater efficiency and solve operational problems in any of the business areas: human resources , marketing, finance, etc

1. Identify the ideal use cases

It identifies very well which processes can be automated, in which it will provide greater value and priority. Here, less is more . So we recommend starting by automating those simpler tasks, and little by little incorporating new processes.

2. Well define the flow of the process to automate

Order is the basis of any process, and even more so when we talk about robotic automation. Precisely establishing all the steps of each process to automate and defining its optimal flow is essential and will save you inefficiencies in the future.

3. Know the automation tools

It seems obvious, but automation tools and AI algorithms include many options. Having the right technological training is going to make the difference between realizing the potential of automation or generating a lot of headaches, time and money.

4. Test and test before launching the automation

Experience teaches us that it is extremely important to take into account all the possible casuistry to push to the limit and thoroughly test the process that we have automated before putting it into production, in order to avoid problems and to generate more work than added value. Invest time in testing it to earn it later.

5. Have a specialist partner

Unlike point 3, it may not seem so obvious, but having an expert team that has the technological specialization and experience to accompany you and recommend best practices ends up being the best investment.

featured question

Q. The demo shows how Dataverse data is entered from the process I automated. If the same is done for all the processes of the organization, can all that information be used for something else?

A. Of course. At the end of the day, Dataverse is our business database, and therefore, we can take advantage of all the information that we store in it to create our business intelligence reports and even use it for our data analysis processes. In fact, we tell you that at the next digital event that we will hold at the end of September, we will show you how you can exploit your business data – be it in Dataverse or in another type of database – through tools in the Microsoft cloud.

Hyperautomation: the sophistication of automation with artificial intelligence

04/25/2022 |

Hiperautomatización: la sofisticación de la automatización con inteligencia artificial

Process automation helps us to simplify and standardize processes, making them more efficient and much more robust. In addition, thanks to technology, each of the automated processes provides us with a lot of valuable information to better understand what we do and how we work.

Therefore, automation is not something isolated, but must be treated as part of a gear that works together with data analysis, the creation of solutions and business applications, etc. But what is the next level?

The sophistication of automation to reinvent processes that learn, anticipate and act efficiently

When we take process automation to the next level, we no longer just talk about automating repetitive tasks, but go further by combining automation itself with advanced technologies such as artificial intelligence, machine learning or RPA (Robotic Process Automation), among others, to design, automate, supervise, measure and analyze each process in order to maximize its potential. We are talking about hyperautomation.

As Gartner predicted, hyperautomation has been a growing strategic trend during 2021, and will continue to be so for the next few years, mainly due to the search for more efficient ways to manage business processes in an increasingly changing and competitive environment. . Thus, it is not surprising that in those companies that are already in an advanced digitization process and understand the cloud and innovation as levers for progress, the hyper-automation of processes is one of their priorities.

Microsoft Power Platform tools help us transform and enrich our data – which would otherwise have to be mechanically and repetitively fed by a person – in order to achieve operational excellence, with greater optimization, quality and cost savings.

You want to know more?

Do not miss the digital event that we will celebrate on Thursday, May 5, in which you will be able to see the creation of a digital business process enriched with artificial intelligence.

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Discover how to predict the future by obtaining a competitive advantage and ML Big Data

05/20/2015 |

Los beneficios del aprendizaje automático con Microsoft Azure Machine Learning

Want to know which of your customers you have more risk of losing or what product you have more chances to sell?

Now, with your historical data and predictive technology Microsoft “Azure Machine Learning”, you can get answers to these and other questions and so advance you take appropriate action.

Get valuable insight from your data

Companies have increasing amounts of data (Big Data) at their disposal and with the right tools and techniques, it is possible to extract valuable information, not only to understand the present, but also to predict the future.

Until recently, this type of analysis could only be done through complex software, powerful computers and scientific / mathematical. Now with machine learning platform Microsoft in the cloud, you will be able to recognize trends or patterns to predict future behavior, without having great knowledge.

Machine Learning offers different types of analysis to get the information:

  • What happens? (Descriptive analysis)
  • Why does this happen? (Analysis diagnosis)
  • What will happen in the future? (Predictive analysis)
  • What is the best action to take? (Prescriptive analysis)

Los beneficios del aprendizaje automático con Microsoft Azure Machine Learning Through these analyzes you will be able to:

  • Extracting information to understand and define a situation or problem.
  • Predict scenarios and situations.
  • Make smart decisions and assessing the likely consequences.
  • Implement improvements and automate processes.

In short, you’ll get results from high value to help you make good decisions.

Machine Learning is everywhere
Although we do not realize the predictive power applications are part of our daily life, such as: Mail spam filter, the results pages of search engines, suggestions contact on social networks and many more applications and services that live with us for some time and help us to be more productive.

If you want to know more about Azure Machine Learning, you can view this video:

Now the machine learning techniques are available to everyone and Softeng as specialist partners solutions in the cloud Microsoft, we help you get the most out of Azure.

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