Per branche

Beeld- en spraakherkenning

Beeld- en spraakherkenning stelt machines in staat visuele en auditieve gegevens te identificeren en te interpreteren, wat diverse toepassingen verbetert.

Wat is beeld- en spraakherkenning?

Technologieën voor beeld- en spraakherkenning zijn revolutionair in verschillende sectoren en veranderen de manier waarop machines visuele en auditieve informatie interpreteren en begrijpen. Beeldherkenning maakt gebruik van technieken zoals Optical Character Recognition (OCR) om tekst uit afbeeldingen te halen, waardoor gedrukt of handgeschreven tekst wordt omgezet in een digitaal formaat. Daarnaast wordt Automatic License Plate Recognition (ALPR) ingezet om kentekenplaten van voertuigen te identificeren en te lezen, wat toepassingen mogelijk maakt in wetshandhaving, parkeermanagement en verkeersmonitoring. Deze technologieën stellen machines in staat visuele en auditieve input te begrijpen en te interpreteren, wat deuren opent naar talloze mogelijkheden in verschillende industrieën.

Wat zijn de voordelen van beeld- en spraakherkenning?

Beeld- en spraakherkenning bieden talloze voordelen en transformeren de manier waarop we met technologie en de wereld om ons heen omgaan.

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.

Voorbeelden van processen in de Banksector

Where can Image & Voice Recognition be used?

Beeld- en spraakherkenningstechnologieën hebben tegenwoordig uiteenlopende toepassingen in verschillende sectoren en werkplekken gevonden. In de detailhandel maakt beeldherkenning gepersonaliseerde winkelervaringen mogelijk, waardoor klanten producten kunnen vinden door afbeeldingen te uploaden of visuele zoekfuncties te gebruiken. Spraakherkenning drijft virtuele assistenten aan voor handsfree winkelen en spraakgestuurde transacties. In de belastingadministratie ondersteunen beeld- en spraakherkenning de automatisering van documentverwerking, waardoor handmatige inspanningen bij belastingaangiften en audits worden verminderd. Binnen de horecasector verbeteren deze technologieën de gastenservice door spraakgestuurde kamerfuncties mogelijk te maken en gezichtsherkenning toe te passen voor naadloze check-ins. De veelzijdigheid van beeld- en spraakherkenning maakt ze van onschatbare waarde bij het transformeren van processen in deze sectoren en daarbuiten.

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. 

Ontdek hoe Beeld- en spraakherkenning (IVR) in verschillende sectoren worden gebruikt