It’s easy to get discouraged when the amount of information just keeps growing at work and we keep spending way too much time looking for the right version of a certain document. But now things are happening and 2023 could be the year when automation and AI take a proper step into our everyday working life. According to Antti Nivala, CEO of M-Files, machine translation will gain an almost human ability and transcribing speech to text will be virtually error-free. In addition, new AI solutions for natural language processing allow us to find information faster – even before we start searching.
Antti Nivala is the founder and CEO of M-Files, which are experts in information management with over 500 employees in 11 countries. Under Antti’s leadership, M-Files has chosen to invest heavily in new innovations in product development, AI and cloud services.
From his position, he can look ahead and predict which trends will characterize the development in 2023. Here is a selection.
Machine translation will have near-human capabilities
Thanks to the progress made in 2022, by 2023 machine translation will have near-human capabilities. With these enhanced capabilities, multinational and multilingual companies will be able to provide their employees with much broader access to all content, regardless of the original language. Automatic translation of large content archives will increase knowledge sharing by making previously hidden content searchable and discoverable.
Less and less information is sent via attachments or email
We share information that is rapidly moved to the cloud by granting access rights. Now that we no longer need to copy or send the information, we can expect that it will become less and less common for information to be sent via attachments or email. You simply hand out a link with permissions or create a portal to share and work with information.
Speech-to-text will make automatic transcription almost error-free
With the increase in the number of meetings being recorded due to staff shortages and busy schedules, advances in automatic transcriptions have made it easier than ever to share and access content. Using the power of machine learning, in 2023 we can expect progress to continue. This in turn makes it possible for organizations to increase knowledge exchange by making more content searchable and accessible.
Natural Language Processing (NLP) will improve the ability of employees to find relevant information
In the coming year, AI-based solutions will better understand industry-specific language and context-specific user behavior. Advances in natural language processing and the ability to understand what the user wants to do in a certain context are driving the development. This, in turn, improves the ability of employees to effectively search for information. Then information management systems can become better at delivering relevant information to end users – even before they start looking.
Instant messaging and video conferencing will replace email
By 2023, video conferencing and instant messaging will begin to replace email as tools for collaboration. As these tools promote direct conversation and content collaboration in a flexible work environment, we can expect employees to continue to use them in place of traditional communication methods to simulate face-to-face interaction. New technologies such as the metaverse and avatars will also become popular, especially in industries that collaborate around physical products.
Cognitive search capabilities will make organizations more efficient
Employees often waste valuable time searching for the information they need to perform their tasks effectively. With the advances being made in cognitive search capabilities, over the next year we will see organizations spend less time searching for the information they need and more time focusing on what drives results. Businesses will be able to go beyond just keyword searches and access content based on context thanks to advanced indexing capabilities. By combining information with a domain-specific or organization-specific knowledge graph, employees can easily find content driven by context, without time-consuming search efforts.
The technology that summarizes information will drastically reduce the time spent on content consumption – and increase employee productivity
Today’s employees are often drowning in information. Technologies based on content summarization will therefore play a key role in helping to reduce information consumption. Most traditional summarization techniques extract the most relevant sentences from a document. Advances in Large Language Models (LLM) will instead allow summaries to be generated automatically, providing a more human and efficient result.
