Custom AI workflows
Skepsi Customized AI automation solutions are transforming industries and revolutionizing the way businesses operate. These tailored solutions leverage the power of artificial intelligence and machine learning algorithms to streamline processes, increase efficiency, and drive innovation. With customized AI automation solutions, organizations can automate repetitive tasks, improve decision-making processes, and enhance overall productivity. These solutions are designed to meet specific business needs, taking into account unique requirements, workflows, and objectives.
By analyzing vast amounts of data, AI automation solutions can extract valuable insights, identify patterns, and make predictions, enabling businesses to make data-driven decisions and stay ahead of the competition. Furthermore, these customized solutions can be seamlessly integrated into existing systems and workflows, ensuring a smooth transition and minimizing disruption. Whether it's automating customer service interactions, optimizing supply chain management, or enhancing cybersecurity measures, customized AI automation solutions are empowering businesses to unlock new levels of efficiency, scalability, and success.
Customised AI Dotes Processes for Enterprises:
We provide Customised AI DOTEs (sotware robots or agents) to fit your business needs.
Below are mentioned a list of already existing custom DOTEs deployed
for our clients.
1.
Entity recognition DOTE
Entity recognition, also known as named entity recognition (NER),
is the task of identifying and classifying named entities in text
into predefined categories such as names of people, organizations,
locations, dates, and more.
Here's an example of how entity recognition can be used:
Input Text:
"Alexander Graham Bell was born on March 3, 1847, in Edinburgh, Scotland. He later moved to Boston, Massachusetts and became a renowned scientist and inventor. Bell is best known for inventing the telephone and founding the Bell Telephone Company, which later became AT&T."
Entity Recognition DOTE Output:
Person: Alexander Graham Bell
Date: March 3, 1847
Location: Edinburgh, Scotland
Location: Boston, Massachusetts
Organization: Bell Telephone Company
Organization: AT&T
Entity recognition is commonly used in various applications, such as
information extraction, question answering, chatbots, and many more.
It helps in understanding the structure and content of text by
identifying and categorizing important named entities.
2.
Sentiment analysis DOTE
Sentiment analysis involves determining the emotional tone or sentiment expressed in a piece of text, such as positive, negative, or neutral. It can be helpful for understanding public opinion, customer feedback, or analyzing social media sentiments.
Here's an example of sentiment analysis using a specific input and output:
Input Text:
"I absolutely loved the movie! The storyline was captivating, the acting was brilliant, and the visuals were stunning. I highly recommend it to everyone!"
Sentiment Analysis DOTE Output:Positive
In this example, the sentiment analysis algorithm processed the
input text and determined that the sentiment expressed is positive.
The presence of words like "loved," "captivating," "brilliant,"
and "highly recommend" indicates a positive sentiment towards the movie.
3.
Speech to text DOTE
The purpose of a speech-to-text agent is to automate the process of
converting spoken words into written text, saving time and effort.
4.
Text to speech DOTE
A text-to-speech (TTS) agent, also referred to as a speech synthesis agent or voice synthesis agent utilizes AI algorithms and techniques to process text input and generate corresponding speech output.
They are used in automated phone systems, audiobook production, language
learning applications, and various other domains where converting text
to spoken language is necessary.
5.
Speech or text translation DOTE (more than 100 languages and dialects)
These agents use natural language processing and machine translation techniques to analyze the input text or speech and provide the corresponding translation in the desired target language.
Speech translation agents are designed to interpret spoken language in
real-time and provide translated output either as text or spoken words.
Text translation agents, on the other hand, focus on translating written
text from one language to another.
6.
Speaker recognition DOTE
A speaker recognition agent, also known as a voice recognition agent or speaker identification agent is designed to identify and authenticate individuals based on their unique vocal characteristics. It analyzes the acoustic features of a person's voice, such as pitch, tone, cadence, and pronunciation, to determine their identity.
Speaker recognition agents utilize techniques from the field of biometrics,
specifically speaker recognition technology, to perform their tasks. They
can be used in various applications, including security systems, access
control, call centers, and voice-based user authentication.
7.
Q & A DOTE
A Q&A agent, also known as a question-answering agent, is designed to provide
automated responses to user queries or questions. It uses natural language
processing (NLP) techniques to understand the user's input and provide
relevant and accurate answers.
8.
Conversational NLU (Natural Language Understanding) DOTE
A conversational NLU agent can understand and interpret human language
in a conversational context. It focuses on understanding the intent,
entities, and context of user inputs to provide meaningful and relevant
responses.
9.
Anomaly detector DOTE
An anomaly detector agent identifies and detects unusual or abnormal patterns or behaviors within a given data set. It leverages machine learning algorithms and statistical techniques to analyze data and identify deviations from normal patterns or expected behavior.
Anomaly detection agents are commonly used in various domains, including
cybersecurity, fraud detection, system monitoring, and predictive maintenance.
They help identify and flag anomalies that may indicate potential threats,
risks, or operational issues.
10.
Content moderator DOTE
Designed to automatically analyze and filter user-generated content to ensure compliance with predefined rules and guidelines. It leverages artificial intelligence (AI) algorithms and machine learning techniques to assess and moderate various forms of content, such as text, images, videos, or audio.
The primary purpose of a content moderator agent is to maintain a safe,
respectful, and appropriate online environment by identifying and removing
content that violates community standards, guidelines, or legal regulations.
11.
Personalised user experience DOTE
A personalized user experience agent tailors its interactions, content, and services based on the individual preferences, behaviors, and characteristics of each user. It leverages data analysis, machine learning, and user profiling techniques to provide a customized and relevant experience to users.
The key features and functionalities of a personalized user experience agent include:
User profiling: The agent collects and analyzes user data, such as demographic information, browsing history, past interactions, preferences, and feedback, to create a comprehensive profile of each user. This profile serves as the basis for personalization.
Content customization: The agent uses the user profile and real-time context to personalize the content it delivers to users. It may recommend relevant articles, products, services, or features based on the user's interests, previous interactions, or behavior patterns.
Adaptive interactions: The agent adapts its conversational style, tone, and responses based on the user's preferences and communication style. It may adjust its language, level of formality, or even use personalized greetings to create a more engaging and tailored conversation.
Recommendations and suggestions: The agent provides personalized recommendations or suggestions to users, aiming to enhance their experience. It may suggest relevant products, services, or content that align with the user's interests and preferences.
Context-aware assistance: The agent takes into account the current context and user's situation to provide more targeted and helpful assistance. For example, in an e-commerce setting, it may offer personalized support during the shopping process or provide real-time updates on order status.
Learning and adaptation: The agent continuously learns from user interactions, feedback, and user behavior patterns to improve its personalization capabilities over time. It adapts its algorithms and models to better understand and anticipate user needs and preferences.
Personalized user experience
agents are employed in various applications, such as e-commerce platforms,
content delivery systems, recommendation engines, and customer support
systems. They aim to enhance user engagement, satisfaction, and conversion
rates by tailoring the user experience to individual preferences and needs.
12.
Document recognizer DOTE
Designed to automatically extract relevant information and understand
the content of various types of documents. It uses optical character
recognition (OCR), natural language processing (NLP), and machine
learning techniques to analyze and extract data from documents in a
structured format.
13.
Video indexer DOTE
Designed to automatically analyze and extract relevant information
from videos. It leverages artificial intelligence (AI) algorithms
and machine learning techniques to process video content, extract
metadata, and generate insights to enhance video searchability,
organization, and discovery.
14.
Image recognition DOTE
An image recognition agent utilizes artificial intelligence (AI)
algorithms and machine learning techniques to analyze and understand
the content of images. It can identify objects, scenes, patterns,
or specific features within images, enabling various applications
such as object recognition, image classification, or image search.
15.
Object detection DOTE
An object detection agent uses computer vision algorithms and machine
learning techniques to identify and locate objects within images or
videos. It analyzes visual data and detects the presence of specific
objects, drawing bounding boxes around them and classifying them
into predefined categories.
16.
Logo detection DOTE
Uses computer vision algorithms and machine learning techniques to
identify and locate logos within images or videos. It analyzes visual
data and detects the presence of specific logos, providing information
about their position, size, and orientation.
17.
Font detection DOTE
Uses computer vision algorithms and machine learning techniques to
identify and recognize fonts within images or text samples. It
analyzes the visual characteristics of text and determines the
specific font or font family used in the given input.
18.
OCR AI DOTE
An OCR AI agent refers to an AI-powered Optical Character Recognition system that utilizes artificial intelligence algorithms and techniques to extract text from images or scanned documents. It leverages the capabilities of AI and machine learning to enhance the accuracy and efficiency of text recognition and extraction processes.
It enables the automation of data entry, text analysis, and content
digitization by recognizing and extracting text information from
various sources. It has numerous other industry specific use cases also.
19.
Facial Analysis DOTE
It utilizes computer vision algorithms and artificial intelligence
techniques to analyze and extract information from human faces in
images or videos. It can provide insights into various facial
attributes, emotions, demographics, and facial expressions.
20.
Product Search and detect DOTE
It utilizes computer vision and machine learning algorithms to enable visual search and detection of products within images or videos. It allows users to search for products or identify specific items by analyzing visual content.
The key functionalities and features of a Vision Product Search and Detect agent include:
Product recognition: The agent can recognize and identify specific products or items within images or video frames. It uses machine learning models trained on product datasets to classify and match detected items.
Visual search: The agent enables users to perform visual searches by providing an image or capturing a photo of a product they are interested in. It analyzes the visual features of the input image and retrieves similar or matching products from a database or online catalogue.
Object detection: The agent can detect and locate multiple objects within an image or video frame, including individual products or items. It draws bounding boxes around the detected objects and provides information about their positions and sizes.
Product information retrieval: The agent can retrieve relevant information about recognized products, such as descriptions, prices, reviews, or availability. It may integrate with product databases or APIs to gather and present detailed information to the user.
Integration with e-commerce platforms: The agent can be integrated with e-commerce platforms or online marketplaces, allowing users to directly purchase identified products or find similar items for comparison.
Customization and training: The agent can be trained on specific product categories or domains, enabling customization and adaptation to different industries or use cases. Custom training can improve accuracy and handle unique product variations.
Vision Product Search and Detect agents
find applications in areas such as retail, e-commerce, fashion,
and visual shopping. They simplify the product discovery process,
enhance user experiences, and enable seamless integration between
visual content and purchasing decisions.
21.
Document classification DOTE
A Document Classification agent uses machine learning and natural
language processing techniques to automatically categorize or
classify documents into predefined categories or classes based
on their content. It analyzes the textual information within
documents and assigns them to appropriate categories, enabling
efficient organization and retrieval of documents
22.
Compliance Reporting DOTE
Designed to assist in the generation and automation of compliance
reports. It streamlines the process of collecting, analyzing, and
reporting on compliance-related data, ensuring adherence to
regulatory requirements, industry standards, or internal policies.
23.
Data privacy DOTE
A Data Privacy agent helps organizations ensure compliance with data
privacy regulations and protect the privacy of personal information.
It assists in the management and protection of sensitive data,
monitors data privacy practices, and helps mitigate risks associated
with data privacy violations.
24.
Regulatory monitoring DOTE
Regulatory Monitoring agents are designed to automate the process of
tracking and monitoring regulatory changes, updates, and developments
in various industries. They help organizations stay informed about
regulatory requirements, compliance obligations, and changes in laws
or regulations that may impact their operations.
25.
Data Validation DOTEs
Data Validation agents automate the process of verifying and validating data for accuracy, consistency, completeness, and adherence to predefined rules or standards. They help ensure the quality and reliability of data used in various applications, processes, or systems.
Data Validation agents are useful in various domains and applications,
including data migration, data integration, database management, and
data quality assurance. They help improve data accuracy, reliability,
and consistency, reducing manual effort and the risk of relying on
erroneous data.
26.
Form and Document Validation DOTEs
Form and Document Validation agents are designed to automate the process
of validating the data entered in forms or documents. They help ensure
the accuracy, completeness, and integrity of the information provided,
reducing errors and improving data quality.
27.
Compliance validation DOTE
A Compliance Validation agent is a software application or system designed
to automate the process of validating compliance with regulatory
requirements, industry standards, or internal policies. It helps
organizations ensure adherence to specific compliance guidelines and
identify any areas of non-compliance that need to be addressed.
28.
Image or Visual validation DOTE
An Image or Visual Validation agent is designed to automate the process of
validating images or visual content based on specific criteria or requirements.
It helps organizations ensure the quality, accuracy, and compliance of visual
content used in various applications or processes.
29.
Language and Text Validation DOTE
It is designed to automate the process of validating language usage and text content based on specific criteria, language rules, or linguistic guidelines. It helps ensure the accuracy, consistency, and compliance of written content in various applications or communication channels.
Language and Text Validation agents find applications in various domains,
including content creation, copywriting, document management, customer
support, and regulatory compliance.