IA e Machine Learning

Poderosos Insights de Projetos com o RISHI-XAI

Oportunamente, insights acionáveis podem garantir o sucesso do projeto em um ambiente comercial volátil, incerto, complexo e ambíguo (VUCA). Para obter insights significativos, a análise de grandes quantidades de dados (passados, presentes e quase em tempo real) é necessária; isto obviamente não é humanamente possível. Mas agora, pela primeira vez, é possível lidar com inúmeras complexidades empresariais em tempo real com RISHI-XAI! RISHI-XAI nosso novo produto de inteligência de projeto empresarial baseado em XAI é integrado com modelos de fábrica de múltiplos tipos de projeto, como Agile, Manutenção, Testes, DevOps, etc. Isto dá a RISHI-XAI a capacidade de aprender e adaptar-se continuamente a situações mais críticas para os negócios.

Role-Based What-if Analysis

Decision makers can set macro to micro level goals across projects by using RISHI-XAI’s powerful ‘What-If Scenario Analysis’ feature. This would help the users with different roles to track project goal deviations, on a near real-time basis. RISHI-XAI suggests actions that users could implement to reach the ‘set goals’. Further, they can visualize the impact of these actions before actually implementing them.

RISHI-XAI’s “What-If” feature helps you answer questions like, “Can you suggest performance improvement measures while keeping resource utilization constant?” or “By increasing quality effort by 20% across the board, how is project performance affected?” (Learn more about RISHI-XAI)

Team Dynamics

We all understand the impact of a happy self-organizing team delivering value with high quality. The opposite is also true. Unhappy teams deliver bad quality in unacceptable timelines. Our products now come with the power of Team Dynamics.

Using Artificial Intelligence and advanced NLP techniques including Sentiment Analysis, we can help you understand how your teams perform and react across projects, in real-time.

  • Analyze work-item level emotions and automatically assign a score which is aggregated at the board/ project level.
  • Track how happy or negative your team might be as a project progresses, issues arise and are addressed.
  • Step in when a team’s happiness index is lower than usual and ensure hidden issues are drawn out and resolved.
  • Understand who influences your team and see how information flows among stakeholders using the Trust Network.

Multidimensional Team Dynamics Metrics (TDM) are generated by analyzing the sentiments, tones, disagreements, trust, and conflicts in team conversations within the project, using Advanced AI/ML to give you insight on how happy or unhappy the team is feeling. By connecting with DeepAffects, TDM provides insights into the team’s dynamic state (Performing, Storming, Outperforming, etc.), trust network, conflicts & more. This module is available on our SaaS instances, as an add-on to any of our products.

Having details of similar tickets handy for reference helps Zendesk agents get a better understanding of the work at hand and how work of that nature has been dealt with earlier. Ditto’s AI engine will recommend similar tickets (that are context-specific) for the current ticket and agents can refer to them to get work done in a more efficient manner. 

Ditto is available on Zendesk Marketplace

kAIron - Treinamento de Assistentes de IA Contextuais em Escala

O kAIron é uma suíte de micro-serviços baseada na web que ajuda a treinar assistentes de IA contextuais em escala. Ele é projetado para facilitar a vida daqueles que trabalham com AI-assistentes, dando-lhes uma interface web sem codificação para adaptar, treinar, testar e manter tais assistentes. Saiba mais sobre a kAIron aqui.

Team Dynamics

We all understand the impact of a happy self-organizing team delivering value with high quality. The opposite is also true. Unhappy teams deliver bad quality in unacceptable timelines. Our products now come with the power of Team Dynamics.

Using Artificial Intelligence and advanced NLP techniques including Sentiment Analysis, we can help you understand how your teams perform and react across projects, in real-time.

  • Analyze work-item level emotions and automatically assign a score which is aggregated at the board/ project level.
  • Track how happy or negative your team might be as a project progresses, issues arise and are addressed.
  • Step in when a team’s happiness index is lower than usual and ensure hidden issues are drawn out and resolved.
  • Understand who influences your team and see how information flows among stakeholders using the Trust Network.

Multidimensional Team Dynamics Metrics (TDM) are generated by analyzing the sentiments, tones, disagreements, trust, and conflicts in team conversations within the project, using Advanced AI/ML to give you insight on how happy or unhappy the team is feeling. By connecting with DeepAffects, TDM provides insights into the team’s dynamic state (Performing, Storming, Outperforming, etc.), trust network, conflicts & more. This module is available on our SaaS instances, as an add-on to any of our products.

Chatbot IA Conversacional (beta)

Alavancando o poder da IA conversacional, o SwiftEnterprise Chatbot no Slack permite que você saiba o que está em sua caixa de entrada e permite que você realize ações rotineiras como rota, rejeição e registro de tempo, direto de seu canal Slack. O assistente de IA trabalha baseado no contexto e no gerenciamento inteligente do diálogo para garantir que você tenha um diálogo mais inteligente toda vez que interagir com ele, enquanto o BOT continua a aprender e melhorar através de conversas reais. Este módulo está disponível como um add-on e está atualmente em fase BETA.

Para saber mais e ver nossas soluções AI & ML em ação, por favor, entre em contato conosco em [email protected]
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