Per branche

NLP

Natuurlijke taalverwerking (Natural Language Processing) stelt machines in staat om menselijke taal te begrijpen, interpreteren en erop te reageren.

Wat is NLP?

Natuurlijke taalverwerking (Natural Language Processing, NLP) is een dynamische tak van kunstmatige intelligentie die computers in staat stelt menselijke taal te begrijpen, interpreteren en erop te reageren. Het is een technologie die zowel gestructureerde als ongestructureerde gegevens omvat, waarbij niet alleen goed georganiseerde, traditionele datasets worden verwerkt, maar ook diverse vormen van ongestructureerde informatie zoals e-mails, video's en PowerPoint-presentaties. Met behulp van NLP kunnen machines betekenisvolle informatie uit deze verschillende datatypen halen. Bijvoorbeeld, NLP kan gesproken woorden in een videopresentatie (ongestructureerde data) analyseren, deze omzetten in tekst en verder verwerken om inzichten of samenvattingen te genereren. Zo wordt een gestructureerde output gecreëerd vanuit een ongestructureerde input.

Wat zijn de voordelen van NLP?

Natural Language Processing (NLP) unlocks a myriad of benefits, making computer interactions more human-like and comprehensible.

Wat is RPA?

Intelligent Process Automation (IPA) is an advanced form of technology that orchestrates the creation, deployment, and management of smart bots designed to mimic human activities within digital interfaces. These bots can astutely perform tasks such as extracting customer information from a database and using it to generate invoices. They are capable of interpreting on-screen data, executing accurate keystrokes, seamlessly navigating through diverse systems, and extracting relevant data. An added layer of sophistication allows these bots to learn from previous tasks, adapt to changes in process, and even handle unstructured data, proving their robustness in handling a vast array of complex digital tasks.

Wat zijn de voordelen van RPA?

Robotic Process Automation (RPA) presents a revolutionary approach to streamlining business operations, offering significant advantages ranging from enhanced efficiency to improved accuracy.

NLP Procesvoorbeelden

Taalvertaling

NLP biedt nauwkeurige vertalingen en maakt wereldwijde communicatie mogelijk.

Waar kan NLP worden gebruikt?

Natuurlijke taalverwerking (NLP) transformeert momenteel diverse industrieën en werkplekken. In de gezondheidszorg wordt NLP gebruikt om inzichten te verkrijgen uit ongestructureerde patiëntendossiers, wat de zorgverlening verbetert. De financiële sector gebruikt NLP voor sentimentanalyse om markttrends te voorspellen. In de klantenservice wordt NLP ingezet om chatbotinteracties te verbeteren. Binnen de belastingadministratie helpt NLP bij het verwerken en analyseren van een groot aantal belastingaangiften en documenten, wat nauwkeurigheid en fraudedetectie ondersteunt. De horeca maakt gebruik van NLP om klantfeedback en recensies te begrijpen en daarop te reageren. In de technologiesector drijft NLP spraakassistenten en zoekmachines aan, wat de interactie tussen mens en computer revolutioneert.

Check out in depth what Automation can deliver for Banks in these cases:

Risk and compliance assessments.

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Hoe profiteert AI make RPA better?

Robotic Process Automation (RPA) greatly benefits from advancements in Artificial Intelligence (AI). While RPA is excellent at following rules-based processes, AI provides the capability for RPA bots to learn, adapt, and make decisions, enhancing their functionality. AI-powered cognitive capabilities like Natural Language Processing (NLP), Machine Learning (ML), and Computer Vision enable bots to understand and respond to text or voice commands, learn from historical data, and recognize images, respectively. For instance, in customer service, AI-powered RPA can analyze customer sentiments in real-time, allowing bots to handle customer complaints and queries more effectively, delivering personalized responses and improving overall customer experience.