Here's how you can navigate the emerging trends in collaborative process automation.

A IA melhora os processos colaborativos ao automatizar tarefas repetitivas, liberando tempo para atividades estratégicas e criativas. Facilita a comunica??o e a coordena??o entre equipes, analisando dados em tempo real e oferecendo insights valiosos. Promove a inova??o ao identificar padr?es e oportunidades que podem n?o ser evidentes para os humanos. Além disso, a IA aumenta a eficiência e a precis?o, permitindo decis?es mais informadas e rápidas.

90%of enterprise apps and software are expected to use AI by 2025. 61% of ML applications are in the automation market. AI and ML technologies empower IT automation tools to autonomously learn and adapt, forming intelligent automation solutions.

I would say the key is to never stop learning. Compared to perhaps ten years ago, automation these days has became a high speed train that sometimes may look hard to get on but we have no other choice to do it. So if you are in a process control and automation role, keep on learning about related new technologies and trends. COBOTS (Collaborative Robots), AMRs (Autonomous Mobile Robots), IIoT (Industrial Internet of Things) and AI (Artificial Intelligence) are key technologies we must start or keep on studying, and learning how to apply them to improve the efficiency of our manufacturing processes.

Benefícios da Automa??o 1.0. Eficiência -Tempo reduzido -Processamento rápido 2.0. Precis?o -Menos erros -Dados consistentes 3.0. Libera??o de Recursos -Foco estratégico -Satisfa??o do funcionário 4.0. Verifica??o e Valida??o -Verifica??o automatizada -Controle de qualidade 5.0. Impacto Organizacional -Melhor gest?o -Economia de recursos 6.0. Escalabilidade -Expans?o fácil 7.0. Transparência e Confiabilidade -Monitoramento -Dados confiáveis

Automation in the AI realm enhances human lives by eliminating repetitive, injury-prone, and remedial tasks. This enables individuals to concentrate on more engaging and rewarding opportunities

Workflow integration is a crucial part of automation. Without worklflows, there’s nothing to automate. Automating is diving down in to the actions that cumulate do be a workflow or process. Automating these steps is instructing the API’s of the tools your using to do these steps in sequential orders. You’re basically telling the robot what to do, instead of a human doing it. These automations are triggered by a human step or data, once triggered it does the steps night and day.

Elimine tarefas manuais repetitivas e automatize os fluxos de trabalho entre as ferramentas, liberando tempo precioso para que sua equipe se concentre em atividades de alto valor agregado. Quebre as barreiras entre as ferramentas e permita que os membros da equipe trabalhem em um único painel unificado, acessando informa??es em tempo real e compartilhando ideias com fluidez.

It's like choreographing a dance routine—except instead of dancers, you're orchestrating workflows to move seamlessly from one step to the next without missing a beat.

A well-integrated workflow minimizes redundancies and reduces the risk of errors by ensuring that data is consistent across all systems. This synchronization enhances collaboration and improves decision-making, as team members have access to real-time, accurate information. As a result, organizations can respond more swiftly to changes and make more informed strategic choices. A good example of it is a CRM system. By integrating a CRM tool like Salesforce with email platforms, marketing automation software, and customer support systems, businesses can ensure that customer data is up-to-date and accessible across all departments.

Lembro-me das automa??es de processos que implementei utilizando a linguagem R, integradas com SQL e PostgreSQL. Essa combina??o permitiu um fluxo de trabalho contínuo, onde a análise de dados em R se conectava perfeitamente aos bancos de dados SQL, garantindo que todas as informa??es estivessem sincronizadas e disponíveis em tempo real. Através dessa integra??o, conseguimos automatizar várias etapas do processo, desde a extra??o e transforma??o de dados até a gera??o de relatórios e análises.

In this ever-changing and ever-evolving technology era, knowledge gets outdated very quickly. It is utmost important that team is willing to learn new things and internally motivated to spend time on their upskilling. That's the only way to survive and excel.

Imagine your team as superheroes leveling up their skills—because in the ever-evolving world of automation, knowledge is power, and continuous learning is the cape that helps them soar.

Uma equipe com habilidades atualizadas é mais propensa a se adaptar rapidamente às mudan?as tecnológicas e abra?ar novas solu??es de automa??o, impulsionando a agilidade da organiza??o como um todo. Uma equipe capacitada é mais propensa a pensar de forma inovadora, identificar oportunidades de otimiza??o e contribuir para a melhoria contínua dos processos automatizados.

Navigating emerging trends in collaborative process automation requires robust knowledge management, utilizing Confluence documentation. As automation advances—such as in BFSI loan processes—adhering to industry BPM standards ensures efficiency and compliance. Beyond tools like Jira and Azure, fostering an agile mindset is crucial. Embracing AI effectively streamlines non-essential tasks, optimizing focus on innovation. This approach ensures organizations adapt, comply, and innovate in evolving landscapes. Lastly, strong governance is a must.

Building in-house talent is a strategic move offering unparalleled innovation, agility, and long-term cost-efficiency advantages. Every business today is focused on controlling overheads, but are we investing in the right areas? For instance, recruiting data analysts without a clear strategy can be challenging. This recruit may struggle to obtain useful information or spend excessive time structuring data before it becomes actionable, leading to frustration, wasted resources, and missed opportunities. The same applies to AI; expecting current talent to deliver AI initiatives without proper support and dedication is doomed to failure.

When things are changing very quickly, no one can afford to spend too much time learning/implementing them and get obsolete. Agile adaptation helps to learn and implement iteratively and get fast feedback to decide whether it is the right path to continue or need to pivot.

Fail-fast mentality is key to the development of AI across the business. Digital tools and technologies, such as cloud computing, IoT, and AI, provide the flexibility and scalability needed to adapt rapidly to changing market conditions. Agile project management and development practices, supported by digital collaboration tools, foster a culture of continuous improvement and innovation. A prime example is Nike, which has embraced digital transformation by integrating its supply chain with real-time data analytics and customer feedback to adapt to market trends and customer preferences quickly.

The ability to adapt quickly is part of the competitive strategy of companies that are in constat innovation trying to become more competitive. It is very important to perform SWOT analysis, Porter's Five Forces models or other methodologies to self-analysis to understand where we are standing on the map and create a strategy to lean towards our goal. “If you know the enemy and know yourself, you need not fear the result of a hundred battles." ― Sun Tzu, The Art of War

Adapte-se rapidamente às mudan?as nas demandas do mercado, às novas tecnologias e às necessidades dos clientes, garantindo que seus processos automatizados permane?am relevantes e eficazes. Cultive uma cultura de feedback e aprendizado contínuo, buscando e implementando melhorias constantes em seus processos automatizados.

Adaptar-se rapidamente a mudan?as é crucial para enfrentar os desafios em um ambiente em constante evolu??o. Isso requer flexibilidade mental e agilidade para ajustar estratégias e processos conforme necessário. A capacidade de adapta??o permite aproveitar oportunidades emergentes e manter-se competitivo em cenários dinamicos.

A automa??o de processos visa substituir ou melhorar tarefas manuais repetitivas por processos automatizados, utilizando tecnologias "hard" (ex.: rob?s) ou "soft" (ex.: sistemas de vis?o). Para a correta aplica??o das diversas ferramentas de automa??o, é imprescindível a utiliza??o de Análise de Dados. A análise de dados compreende os seguintes aspectos: - Identifica??o de Processos - Implementa??o de Tecnologias de Automa??o - Integra??o de Sistemas - Monitoramento e Otimiza??o

Before start data analytics we need to understand that several methods exist to process raw data. We need to have clear target and what we want to analyze. It is important to select the correct method, correct KPI's and verify trusted sources of data. With incorrect data analyzed, manipulated data or result will only lead us to an unrealistic outcome. Data analytics is very important tool for strategic decision making, will help us to find patterns and with using of AI and data mining not only predict but it could be possible to create a tendency.

Data is a strategic asset. However, its value lies in analysing and acting on it effectively. Advanced data analytics and business intelligence (BI) tools enable businesses to convert vast data into actionable insights. This can drive strategic decision-making, identify new market opportunities, optimize supply chain operations, and improve inventory management. A robust data governance framework ensures data integrity and reliability, which are critical for making informed decisions. Amazon, for instance, uses data analytics extensively to optimize its supply chain, personalize customer recommendations, and improve overall operational efficiency.

Com técnicas de aprendizado de máquina, é possível automatizar a análise, reduzindo erros humanos e economizando tempo. Ferramentas de visualiza??o ajudam a interpretar os dados de maneira clara e acessível, tornando-os úteis para diversos setores.

Como disse a autora, pesquisadora e palestrante Brené Brown, "Talvez as histórias sejam apenas dados com alma". Os dados ajudam as empresas a serem mais assertivas no processo de tomada de decis?o. Após a extra??o dos dados brutos, os mesmos s?o tratados e lapidados. Após isso, é possível identificar gap's e oportunidades de melhoria, tanto no processo como também no resultado global das companhias.

Think of cybersecurity as your digital fortress—protecting your processes and data like a medieval castle defended by the most vigilant of knights.

Certifique-se de que sua equipe esteja ciente das práticas de seguran?a e treinada para reconhecer possíveis amea?as cibernéticas. Além disso, mantenha-se atualizado com as melhores práticas de seguran?a cibernética e esteja preparado para lidar com qualquer incidente de seguran?a que possa surgir. A seguran?a deve ser incorporada em todas as etapas do seu processo colaborativo automatizado, desde o design até a implementa??o e manuten??o contínua. Ao priorizar a seguran?a, você pode garantir que seus processos colaborativos automatizados funcionem de forma eficiente e protegida contra amea?as externas.

Acredito que é fundamental sempre criar e ter seguran?a de api’s e integra??es para que caso seja de certa forma invadido você conseguir neutralizar, mas sempre contendo tudo na nuvem, hoje em dia é essencial ter um plano b e c para vazamento de informa??es de seguran?a e sistemas. é necessário implementar uma combina??o de controle de acessos rigorosos.

Customer-Centricity: In the midst of all this automation wizardry, never forget the golden rule: delighting your customers is the ultimate magic trick. Stay customer-focused and sprinkle a little extra enchantment into everything you do.