(Português) A tecnologia tem sido cada vez mais incorporada no mundo dos negócios e é cada vez mais importante nas organizações. No artigo de hoje, vamos abordar as principais tendências tecnológicas para 2020!
(Português) A inteligência artificial é o grande tema do momento. Muitas empresas já utilizam práticas de inteligência artificial nos seus processos, mas a verdade é que ainda não se utiliza a inteligência artificial da melhor forma. As suas potencialidades são imensas, mas ainda existe um desconhecimento generalizado sobre o tema. No artigo de hoje, vamos falar sobre 5 formas de utilizar a inteligência artificial em grandes empresas.
With deep learning, machines can be trained to perform specific tasks by processing large amounts of data and identifying patterns. But how does artificial intelligence impact business value? That’s what we will find out in today’s article!
RPA mimics the activity of a human being in accomplishing a task within a process. Using RPA, it is possible to perform activities faster, more accurately and relentlessly, freeing human beings to perform other tasks that really require human capabilities. But where can we apply RPA in companies? That’s what we will realize with today’s article!
IT plays a huge role in the performance of all sectors of a company. Having optimized IT systems is guaranteed to have a competitive advantage, increasing the organization’s overall performance, productivity, market response and cost savings. In today’s article, we will give you some tips for optimizing the performance of your company’s IT systems!
(Português) surge o termo AIOPS: Artificial Intelligence for IT Operations. Esta nova forma de gestão de TI permite um afastamento da gestão isolada de operações e fornece insights inteligentes que promovem a automatização e a colaboração para proporcionar uma melhoria contínua. No artigo de hoje, abordamos os grandes benefícios do AIOPS na gestão de TI.
Artificial intelligence is the ability that machines have to think like humans. It defines their ability to learn, reason and decide autonomously and intelligently. Contrary to popular belief, this is not a recent concept. It first emerged in 1956 by John McCarthy, a university professor who used the term to describe a distant world in which machines would be able to solve all problems that until then were solved exclusively by humans. However, this has been one of the most debated topics of the moment, as companies have begun to gain awareness about the numerous benefits that this concept can have in their business. In today’s article, let’s understand how artificial intelligence can help business!
Competitiveness in the business world is increasing and companies need to be fast and efficient so they can stay well-positioned against the competition. Process automation is an increasingly used way to increase productivity. RPA therefore becomes an indispensable tool in several sectors. RPA is a set of tools that allow you to automate everyday tasks. RPA mimics the activity of a human being in performing a task within a process and who can perform repetitive tasks more quickly, accurately and relentlessly, freeing humans to perform other tasks that require human capabilities such as intelligence emotional, reasoning, and complex interaction with clients or suppliers. Let’s see in today’s article how it is possible to apply the RPA in companies!
AIOps adds value to organizations. In the future, it will play a very important role in increasing the efficiency of IT teams and will facilitate the adoption of next-generation complex technologies that traditional solutions are unable to cope with. Digital transformation requires AIOps because with this new concept, IT teams can automatically analyze large volumes of digital data and solve difficult problems faster. But what are the main areas in which AIOPS will have an impact?
(Português) O contributo da inteligência artificial para a gestão de TI foi o tema escolhido para a primeira edição do IT PEERS Summit. A IT PEERS propõe o debate sobre o que as ferramentas de inteligência artificial, machine learning, RPA, entre outras, podem fazer pela gestão de TI.