Technology has created countless advances that help today's businesses thrive. One of the best technological additions to your company is human resource software. There are many different reasons to add human resource software to your company including higher productivity, fewer errors, and easier access to data. But choosing human resource software can be difficult since so many different products are on the market today. With so many choices, you may have a hard time narrowing them down to the one that works best for you
Flexible, convenient, accurate, and integration with multiple Attendance devices i.e. Barcode, Biometric, RFID, Face Reader etc Attendance will help you get workforce management into shape. Our software is designed to effectively manage many difficult scheduling issues, like remote workers, drivers, distributed teams, and more.
We simplify the complicated world of scheduling, leave requests, and reporting while helping you maintain compliance in a rapidly changing world. Here are a few features of our Time and Attendance software:
Business rule-based options.
Multi-level, user-defined business policies.
Eliminates the need for timecards with PC/mobile/biometric options and more.
Electronic timecard management.
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Broad selection of standard reports.
MANUFACTURING ERP
END TO END Manufacturing cycle in user friendly interface. The functionality of manufacturing software varies based on the industry focus and the production process utilized. Most ERP and manufacturing solutions are placed into the categories of process manufacturing software, discrete manufacturing software, or mixed-mode manufacturing software. These different manufacturing categories directly relate to the production environment and whether this environment can be classified as continuous process, contract manufacturing, job shop, batch processing, repair and maintenance, repetitive, or work order based.
Some key features :
END to END Operational Activity.
Financial Reporting.
Administration module.
Payroll.
Account Payable/Receivable.
Many More
SMALL FINANCIAL SOLUTION
Are you having trouble moving from manual processes to a more transparent, automated portfolio analysis? Our software solution automates processes, enables compliance with changing regulations, and prepares you with accurate data analysis that improves real-time decision-making to enhance your bottom line.
Small business accounting software is the best way to record and manage the daily sales and purchase activities of any company. Application has a full control over the invoicing and inventory system of your business. Accounting information system can generate financial reports in several forms like inventory reports, sales reports, purchasing reports, ledger reports, company expenses reports and party reports. Billing management program can calculate ...
INVENTORY SOLUTIONS
Inventory control solution that lets you track tens of thousands of parts and products in multiple warehouses. It is the best choice for small and midsize businesses because of its seamless integration with Barcode, flexible feature set, and enormous library of training and support resources.
Inventory System is designed to handle every aspect of inventory management, providing the ability to track each step in the inventory life cycle from the time you create a purchase order for your supplier to the moment you ship the product to your customer. At the same time, Inventory Control System’s modular organization ensures flexibility and enables you to adapt the program to your specific needs.
Having Multiple inventory solution :
Auto Parts solution.
General Inventory.
WIP Process Inventory
FIFO, LIFO, Average Costing Method.
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Microsoft AI-102 : Designing and Implementing a Microsoft Azure AI Solution Practice Tests
Practice Tests Organized by Martha nods
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Exam Name : Designing and Implementing a Microsoft Azure AI Solution
Exam TOPICS
The Cisco Customer Success Manager (DTCSM) v2.1 course gives you the confidence and competence to fulfill the Customer Success Manager (CSM) role successfully, helping your customers realize value from their solutions and achieve their business outcomes. The course offers experiential learning through practical exercises using situations based on real-life use cases and case studies. In this highly interactive course, you can practice and gain confidence in fulfilling core tasks using best-practice tools and methodologies while receiving feedback from the facilitator and your peers.
Candidates for the Azure AI Engineer Associate certification should have subject matter expertise building, managing, and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.
Azure AI Engineers work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Candidates for this certification should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principle.
Plan and manage an Azure Cognitive Services solution
Implement Computer Vision solutions
Implement natural language processing solutions
Implement knowledge mining solutions
Implement conversational AI solutions
Plan and Manage an Azure Cognitive Services Solution (15-20%)
Select the appropriate Cognitive Services resource
select the appropriate cognitive service for a vision solution
select the appropriate cognitive service for a language analysis solution
select the appropriate cognitive Service for a decision support solution
select the appropriate cognitive service for a speech solution
Plan and configure security for a Cognitive Services solution
manage Cognitive Services account keys
manage authentication for a resource
secure Cognitive Services by using Azure Virtual Network
plan for a solution that meets responsible AI principles
Create a Cognitive Services resource
create a Cognitive Services resource
configure diagnostic logging for a Cognitive Services resource
manage Cognitive Services costs
monitor a cognitive service
implement a privacy policy in Cognitive Services
Plan and implement Cognitive Services containers
identify when to deploy to a container
containerize Cognitive Services (including Computer Vision API, Face API, Text Analytics,
Speech, Form Recognizer)
deploy Cognitive Services Containers in Microsoft Azure
Implement Computer Vision Solutions (20-25%)
Analyze images by using the Computer Vision API
retrieve image descriptions and tags by using the Computer Vision API
identify landmarks and celebrities by using the Computer Vision API
detect brands in images by using the Computer Vision API
moderate content in images by using the Computer Vision API
generate thumbnails by using the Computer Vision API
Extract text from images
extract text from images or PDFs by using the Computer Vision service
extract information using pre-built models in Form Recognizer
build and optimize a custom model for Form Recognizer
Extract facial information from images
detect faces in an image by using the Face API
recognize faces in an image by using the Face API
analyze facial attributes by using the Face API
match similar faces by using the Face API
Implement image classification by using the Custom Vision service
label images by using the Computer Vision Portal
train a custom image classification model in the Custom Vision Portal
train a custom image classification model by using the SDK
manage model iterations
evaluate classification model metrics
publish a trained iteration of a model
export a model in an appropriate format for a specific target
consume a classification model from a client application
deploy image classification custom models to containers
Implement an object detection solution by using the Custom Vision service
label images with bounding boxes by using the Computer Vision Portal
train a custom object detection model by using the Custom Vision Portal
train a custom object detection model by using the SDK
manage model iterations
evaluate object detection model metrics
publish a trained iteration of a model
consume an object detection model from a client application
deploy custom object detection models to containers
Analyze video by using Video Indexer
process a video
extract insights from a video
moderate content in a video
customize the Brands model used by Video Indexer
customize the Language model used by Video Indexer by using the Custom Speech service
customize the Person model used by Video Indexer
extract insights from a live stream of video data
Implement Natural Language Processing Solutions (20-25%)
Analyze text by using the Text Analytics service
retrieve and process key phrases
retrieve and process entity information (people, places, urls, etc.)
retrieve and process sentiment
detect the language used in text
Manage speech by using the Speech service
implement text-to-speech
customize text-to-speech
implement speech-to-text
Strengthen speech-to-text accuracy
Strengthen text-to-speech accuracy
implement intent recognition
Translate language
translate text by using the Translator service
translate speech-to-speech by using the Speech service
translate speech-to-text by using the Speech service
Build an initial language model by using Language Understanding Service (LUIS)
create intents and entities based on a schema, and then add utterances
create complex hierarchical entities
o use this instead of roles
train and deploy a model
Iterate on and optimize a language model by using LUIS
implement phrase lists
implement a model as a feature (i.e. prebuilt entities)
manage punctuation and diacritics
implement active learning
monitor and correct data imbalances
implement patterns
Manage a LUIS model
manage collaborators
manage versioning
publish a model through the portal or in a container
export a LUIS package
deploy a LUIS package to a container
integrate Bot Framework (LUDown) to run outside of the LUIS portal
Implement Knowledge Mining Solutions (15-20%)
Implement a Cognitive Search solution
create data sources
define an index
create and run an indexer
query an index
configure an index to support autocomplete and autosuggest
boost results based on relevance
implement synonyms
Implement an enrichment pipeline
attach a Cognitive Services account to a skillset
select and include built-in skills for documents
implement custom skills and include them in a skillset
Implement a knowledge store
define file projections
define object projections
define table projections
query projections
Manage a Cognitive Search solution
provision Cognitive Search
configure security for Cognitive Search
configure scalability for Cognitive Search
Manage indexing
manage re-indexing
rebuild indexes
schedule indexing
monitor indexing
implement incremental indexing
manage concurrency
push data to an index
troubleshoot indexing for a pipeline
Implement Conversational AI Solutions (15-20%)
Create a knowledge base by using QnA Maker
create a QnA Maker service
create a knowledge base
import a knowledge base
train and test a knowledge base
publish a knowledge base
create a multi-turn conversation
add alternate phrasing
add chit-chat to a knowledge base
export a knowledge base
add active learning to a knowledge base
manage collaborators
Design and implement conversation flow
design conversation logic for a bot
create and evaluate *.chat file conversations by using the Bot Framework Emulator
choose an appropriate conversational model for a bot, including activity handlers and dialogs
Create a bot by using the Bot Framework SDK
use the Bot Framework SDK to create a bot from a template
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Retail store owners operate on tight margins, and have many constantly moving parts. This becomes especially difficult to manage efficiently when using manual methods. A point-of-sale system is a great tool to manage all these moving parts while helping to ensure customer satisfaction, but finding the right POS for small business is no easy feat.
POS can help businesses in a variety of ways, including managing inventory, providing customer management data, identifying opportunities and weaknesses in the store and much, much more.
EMBRIODRY MANAGMENT SOLUTION
Embroidery’s Industries can utilize this embroidery management tool in a wide variety of ways which will insure that jobs are scheduled, processed, and delivered on time and with the maximum efficiency. This embroidery management software was developed with your business in mind - whether it be big or small - and can be customized to any unique needs you may have.
You may be a business owner or one of the project managers in an embroidery department, our embroidery management software will take the stress out of organizing and coordinating the activities of both you and your clients. An embroidery business can benefit greatly from embroidery management systems that offer ways to harmonize and coordinate multiple departments. To accomplish this, the embroidery management systems are integrated to allow the user to track various job control systems which may incorporate multiple program management structures.
Embroidery Management Capabilities:
Covering all Operational Activity.
Financial Reporting.
Employee Management.
Payroll.
Stiched wise Billing.
Invoicing.
HOSPITAL SOLUTION
It is a complete enterprise management solution that streamlines clinical, administrative, and financial operations of care delivery organizations, providing unprecedented opportunities for productivity, collaboration, and growth.
Whether your goal is to enhance the value of services to your patients, increase reimbursements, improve the overall efficiency of day-to-day operations, or simply stay ahead of compliance requirements,