M-Files 2023 Predictions

Perspectives by Antti Nivala, Founder and CEO of M-Files, a global leader in information management

EU personal data transfer laws will continue to present an issue for global, data-driven businesses 

Many global businesses will continue to face uncertainty in 2023 as a result of the EU Court of Justice’s judgment in Schrems II, which questions the legality of transferring EU citizens’ personally identifiable information (PII) outside of the EU. We can expect more organisations to turn to information management to tackle this concern, as an avenue to better understand the flows of data, discover what data they hold, and control the data flows to limit where data travels, to avoid violating privacy laws.

Instant messaging and video conferencing will replace email

In 2023, video conferencing and instant messaging will begin to replace email as the de facto means of collaboration. Since these tools promote live conversations and content collaboration in a work-from-anywhere environment, we can expect to see employees continue to turn to them instead of traditional methods of communication to simulate face-to-face interactions. Emerging technologies like metaverse and avatars will also start to gain popularity, especially in industries that collaborate around physical products.

Machine translation will have near-human capabilities

Machine translation will achieve near-human capabilities in 2023, due to advancements made in 2022. With these enhanced capabilities, multinational and multilingual enterprises will be able to provide their employees with far 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.

Organisations will need to adapt business processes to remain profitable amidst uncertain market conditions

With layoffs at companies like Amazon, Meta and Twitter making headlines, organisations will have to find alternative ways to continue doing business profitably, as market conditions remain uncertain. In 2023, we can expect more businesses to embrace autonomous technologies to enable them to remain competitive and do more with less, amidst additional labour shortages and hiring freezes.

Traditional ways of sending information will start to become obsolete

With information moving to the cloud at a rapid pace, sharing information has become nothing more than granting access rights. With no need to “copy” or “send” information that the traditional methods relied upon, we can expect to see sending information via attachments or email start to become a thing of the past.

Speech-to-text will make automatic transcription near flawless

With the increase in the number of meetings being recorded due to staffing shortages and hectic schedules, advancements in automatic transcriptions have made sharing and accessing content easier than ever. In 2023, we can expect these advancements to continue through the power of machine learning, enabling organisations to boost knowledge sharing efforts by making content searchable and accessible.

Natural language processing (NLP) will enhance how knowledge workers find relevant information

In 2023, AI-based solutions will better understand industry-specific domain language — or context-specific user behaviour — as advances in natural language processing and the capacity to understand user intent make their way into business applications. This will significantly enhance how knowledge workers search for information and allow information management systems to better deliver relevant information to end users, even before they begin looking.

Cognitive search capabilities will make organisations more efficient

Knowledge workers frequently waste valuable time looking for the information they require to accomplish their tasks efficiently. With advancements in cognitive search capabilities, over the next year we’ll see organisations spend less time searching for the information they need, and more time focusing on what drives the bottom line. Enterprises will be able to go beyond simply keyword searches and access content based on context due to advanced indexing capabilities. Combining information with a domain-specific or organisation-specific knowledge graph will enable employees to easily find content powered by context, without endless search cycles.

Summarisation technologies will drastically reduce content consumption time, increasing employee productivity

Employees today are drowning in information, but summarisation technologies will play a key role in aiding to reduce content consumption. Most traditional summarisation technologies use an “extractive” approach, extracting the most relevant sentences from a document. Advancements in large language models (LLMs) will enable “abstractive” summaries to be automatically generated, delivering a more human-like and effective result.

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