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In discussing these areas, we aim to comprehensively explain Informatica Scheduling’s capabilities and its significance in the broader context of data management and workload automation. If you want to view Informatica’s market and the key players in pdf form, download our whitepaper.
What is Informatica Scheduling?Informatica Scheduling is a feature offered within Informatica PowerCenter, a comprehensive data integration solution. It provides a framework for scheduling and automating workflows and tasks associated with data processing.
At its core, Informatica Scheduling automates data workflows based on predefined schedules or in response to certain events. This allows organizations to run complex data integrations at optimal times or in response to specific triggers, enhancing overall data management efficiency.
What is Informatica PowerCenter?Informatica PowerCenter is an Extract, Transform, and Load (ETL) tool used in building enterprise data warehouses. The components of the Informatica PowerCenter aid in extracting data from its source, transforming it to meet business requirements, and then loading it into a target data warehouse.
PowerCenter is recognized for its capabilities around data integration, data quality, data governance, and data migration. It allows organizations to collect, centralize, and manage vast quantities of data from different systems in an organized manner, making it a valuable asset for large-scale data operations.
PowerCenter Features 1- Data IntegrationPowerCenter supports all types of data integration requirements, including ETL, real-time integration service, batch integration, big data integration, and more. Integration service initialization is also a significant feature of PowerCenter.
2- Universal ConnectivityThe tool provides access to an extensive range of data sources, from traditional databases, ERP, and CRM systems, to cloud-based applications, social media, machine data, and various big data sources.
3- Data TransformationPowerCenter allows complex data transformations and validation rules to be set, ensuring data quality and consistency.
4- Metadata ManagementThe tool offers metadata-driven management features, which enhance visibility and control, helping you understand data lineage, track data changes, manage metadata effectively, and maintain regulatory compliance.
5- Scalability & PerformancePowerCenter is highly scalable, capable of supporting the growing volumes of data typical in modern business environments. It provides high performance with features like parallel processing and grid infrastructure.
6- Data GovernanceIt enables organizations to improve business operations and make strategic decisions by ensuring the delivery of timely, trustworthy, and relevant data across the enterprise.
Informatica Power Center User Reviews:
Gartner: 4.4/5.0 based on 333 Reviews
G2: 4.4/5.0 based on 70 Reviews
Capterra: 4.5/5.0 based on 40 Reviews
PeerSpot: 3.9/5.0 based on 39 Reviews
TrustRadius:8.2/10 based on 87 Reviews
Key Features of Informatica SchedulingInformatica Scheduling provides a powerful way to manage and schedule workflows, ensuring they are executed accurately and efficiently. Informatica Scheduling is integral to workload automation in managing data-centric business operations.
Informatica Scheduler is a tool that provides functionalities to manage and schedule tasks. Users of the scheduler can schedule workflows and tasks based on time, event triggers, or conditional requirements. This level of flexibility allows businesses to automate tasks based on specific needs, optimizing workload management. Users can additionally:
Access and get information from the scheduler browser dialog box and schedule tab.
Create customized repeat actions via workflow manager.
Edit scheduling settings.
Using Informatica Scheduling for streamlined workload automation involves setting up workflows and tasks, defining the schedule parameters, and then allowing the system to execute the workflow and tasks and run continuously as defined. Best practices for Informatica Scheduling include
Planning your workflows
Setting up error handling and notification systems
Utilizing the scheduler tab
Regularly monitoring and updating schedules to ensure optimal workflow performance.
Top 5 Informatica Scheduling Use Cases 1. Large Scale Data Extraction and LoadingIn large organizations, data extraction and loading often start time and involve massive amounts of data from various sources. These operations can be scheduled to run during off-peak hours to avoid impacting the performance of operational systems.
2. Data Warehouse RefreshData warehouses need to be refreshed regularly to keep the data up-to-date. Informatica Scheduling can be used to automate these refresh cycles, ensuring the latest data is available for business analysis and reporting. Businesses often need to transform data, for instance, to standardize formats, remove duplicates, or validate accuracy. These transformation processes can be automated using Informatica Scheduling.
3. Periodic Data CleaningData cleaning is crucial for maintaining data quality. This can be automated periodically using Informatica Scheduling, ensuring a consistent level of data quality is maintained. Users can choose a start date and end date to maintain this process.
4. Complex Data PipelinesIn cases where there are complex data pipelines, workflows can be dependent on each other. Informatica Scheduling can be used to manage these dependencies, automatically scheduling settings and triggering workflows based on the completion of preceding ones.
5. ReportingBusinesses often create a schedule and need to generate reports at regular intervals. Informatica Scheduling can be used to automate this process, ensuring the timely generation and delivery of reports.
While Informatica Scheduling offers robust features, it is important to understand how it can be extended with other solutions.
For example ActiveBatch, can be used to enhance PowerCenter’s capabilities. The ActiveBatch® Extension for PowerCenter offers comprehensive automation that allows the fulfillment of dependencies and data integrity. It overcomes the typical restrictions of the PowerCenter native scheduler and removes the need for complicated PMCMD commands and custom scripting, simplifying the overall process.
ActiveBatchActiveBatch is an all-encompassing workload automation software that empowers users to oversee, manage, and automate the execution of a diverse range of tasks, processes, and workflows. This spans several platforms, applications, and systems.
User Ratings
Capterra:4.8/5.0 based on 52 reviews
Gartner:4.3/5.0 based on 61 Reviews
G2: 4.6/5 based on 171 Reviews
PeerSpot: 4.6/5 based on 16 reviews
TrustRadius: 9.1/10 based on 29 votes
If you are looking for the top workload automation tools, you can access our data-driven list.
AIMultiple analyzed WLA vendors using relevant, public, and verifiable criteria covering vendor market presence and functionality.
He received his bachelor’s degree in Political Science and Public Administration from Bilkent University and he received his master’s degree in International Politics from KU Leuven .
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Top 10 Nft Use Cases In 2023
NFTs, which are digital assets represented by cryptographic tokens, are becoming more popular because of their numerous use cases. That’s represented by the global revenue rise in the NFT (non-fungible token) market is expected to be $1.6B by the end of 2023. That’s almost twice what it was in 2023.
People might think of NFTs as digital images of the Bored Ape Yacht Club, fetching millions of dollars. But NFTs have grown to be value-adding assets to society in different industries by providing additional revenue streams and cost-saving mechanisms.
In this article, we discuss the top 10 use cases of NFTs in 2023 in:
Supply chain management
Gaming
Fashion
Finance, and more.
1. MusicNFTs can significantly change the music industry. Artists can leverage NFTs to:
Tokenize their songs and albums
Sell digital merchandise to create additional sources of income (limited digital assets)
Provide royalties to creators/artists/producers
Combine them with additional physical benefits to encourage their fans to engage with their songs.
For example, Nas, a prominent American rapper, created
Figure 1: Nas’ 3-tier song tokens. Source: Royal
Gamma.io has an NFT marketplace based on the Stacks programming layer, which settles transactions onto the Bitcoin blockchain. It enables the trading and minting of various types of NFTs, such as music, digital collectibles, and different forms of art through the Bitcoin ecosystem.
2. FashionFashion NFTs can be collected and worn as digital garments during occasions in virtual worlds, such as when visiting a friend, attending a party, or participating in a meeting. Fashion brands have already started experimenting with fashion NFTs. For instance:
Gucci sold a digital-only bag on Roblox (a metaverse space) for $4,115
Figure 2: Buyers of Gucci’s bag would be wearing this on the metaverse. Source: Inveres
Dolce & Gabbana creatively combined
3. GamingNFT-based play-to-earn games have gained attraction over the last year. For instance, Axie Infinity, the top NFT gaming market leader, now has more than 2M active daily players. The NFT gaming market is growing at an exponential rate. If the current trend continues, the revenue generated is expected to reach $15B by 2027, up from the current $4B (Figure 3).
Figure 3: In-game NFT revenue is expected to be rising until 2027. Source: S&P
These NFTs usually concern in-game items such as avatars, skins, and weapons that can be created on the blockchain for game-altering or cosmetic upgrades to the players. In-game NFTs are sold on various platforms, like NFT marketplaces, game-specific marketplaces, and occasionally through the game themselves.
Some traditional gaming companies; however, have largely reacted negatively towards incorporating NFTs into their business model. For example, Steam, the largest PC game store, has banned the use of NFTs and cryptocurrencies, citing instances of fraud and high volatility.7 Or Microsoft Gaming CEO voiced concerns in November 2023 about speculation and exploitation in the NFT market.
But not every major company has been skeptical of NFTs. Ubisoft, one of the biggest game developers, briefly launched its NFT project Ghost Recon Wildlands, on Tezos. The NFTs represented cosmetic upgrades that gamers could use (Figure 4). The project was short-lived, after making only $400 and being scrapped. But it indicated that shifting dynamics of established gaming market players in embracing digital tokens.
Figure 4: Examples of the upgrades that players could purchase on Ghost Recon Wildlands. Image source: Forbes
4. Luxury goodsNFTs can act as a proof of authenticity for luxury goods by containing all relevant chúng tôi instance, counterfeits are common in the wine industry. Some wineries have started releasing NFTs to store the wines’ data, such as its date of harvest and bottling, grapes’ origin, authenticity certificate, etc. For instance, Château Angélus sold an NFT for $110,000, giving the owner one barrel of wine (equivalent to 30 bottles) and digital artwork (Figure 5).
Figure 5: A picture of a bell that would accompany the barrel of wine purchased. Source: OpenSea
5. MetaverseMetaverse is expected to impact almost every industry. And its market value is expected to reach a trillion dollars in the future. Metaverse is a combination of immersive virtual worlds where the user can replicate their “real” life actions and circumstances – like buying a house or wearing clothes – on there (Figure 6).
Figure 6: Screenshot of an avatar in what appears to be a habitable ice cave on the metaverse. Image source: NYT
Even though metaverse is still new, it’s soaring in valuation. In January of 2023, the real estate valuation in metaverse – calculated by summing up the land market cap of top platforms like Decentraland and NFT Worlds – was $1.4B. Moreover, the virtual real estate market is predicted to grow more than 31%CAGR by 2028. Virtual lands are bought and sold through NFTs. When someone buys a virtual land, the NFT representing the ownership of that parcel is transferred to the buyer’s wallet.
The largest metaverse land purchase was made in the Sandbox, one of the virtual worlds, for $4.3 million. Large companies from different industries, such as Gucci, PwC, Samsung, and JP Morgan have purchased lands on the metaverse. And interestingly, some real estate companies are incentivizing real estate sales in the physical world by promising digital twins on the metaverse. For example, the following is the digital replica of a seven-bedroom house put up for sale in Miami.
6. Supply chainNFTs can be used to improve supply chain operations by storing metadata of products into the blockchain. In terms of security, blockchain technology in supply chain management prevents data elimination and manipulation. Logistics-wise, a use case of NFT is supply chain management is end-to-end tracking of goods from origin to destination. For example, Koinearth is a startup that creates enterprise NFTs that enable the tracking of physical goods and documents across the supply chain.
7. Ticket salesPopular event tickets tend to sell out fast. And the rise of ticket bots is worsening the situation, as almost 40% of ticketing traffic is coming from ticket bots. And once tickets are sold out, they are then resold on secondary markets for profit. 17
This:
Robs organizers of additional revenues. While the initial sale still generates income, organizers miss out on potential additional sales from merchandise, food, and beverages that would have been purchased by genuine attendees. Can lead to fraudulent activities. It is estimated that 12% of concert ticket buyers have been scammed (e.g. sold fake tickets).
Stops legitimate, interested customers from getting tickets.
NFT transactions on a blockchain will be on a public ledger, making secondary sales trackable and enabling rules-based validations before purchases. For example, eligible purchasers may be required to purchase a specific type of NFT or hold such an NFT.
Therefore, NFTs can improve the ticket industry by:
Removing the 3rd party ticket seller between the artists and fans.
Reducing scams due to transparency and authenticity verification provided by NFTs.
Non-transferable NFTs can prevent ticket reselling.
Due to the public nature of the blockchain and historical record-keeping, platforms can use smart contracts to establish rules to prevent bots and scammers by checking their transaction history.
A royalties system can be put in place that pays the artist, producer, or any party a percentage of subsequent sales of the ticket.
8. Asset tokensNFTs can be used to tokenize physical assets, such as real estate, art work, and collectibles, creating a bridge between the physical and digital worlds. This process involves converting a tangible asset into a digital token on a blockchain, which represents the ownership, provenance, and other information related to the asset.
For instance, the sporting goods giant Adidas sold 30,000 NFTs in 2023 which entitled the holders to physical goods, such as hoodies and tracksuits.
Benefit of asset tokenization include:
Fractional Ownership: NFTs can be used to break down a physical asset into smaller, more affordable fractions, allowing multiple individuals to own a portion of the asset. This increases liquidity, as it enables a larger number of people to invest in and trade these fractional shares.
Provenance and Authenticity: By tokenizing a physical asset, its ownership history, provenance, and authenticity can be securely stored on the blockchain. This can help combat fraud, counterfeiting, and theft, and also create trust among buyers and sellers in the secondary market.
Easier Transfer of Ownership: The tokenization of physical assets allows for the transfer of ownership to be executed digitally and efficiently, without the need for physical paperwork. NFTs can be easily bought, sold, or traded on digital platforms, reducing transaction times and costs.
Market Creation: The tokenization of physical assets can create new digital marketplaces where these assets can be bought, sold, or traded. This can lead to increased price discovery, market efficiency, and liquidity for these assets.
Cross-border Transactions: NFTs can facilitate cross-border transactions and investment in physical assets, as they are not bound by geographic limitations or borders. This can create a more inclusive and global market for tangible assets.
Digital Asset Management: Tokenizing physical assets allows for the creation of a digital record of the asset’s details, maintenance history, and other important information. This can simplify asset management processes and provide greater transparency to all parties involved.
Interoperability: By tokenizing physical assets on a blockchain, they can become more easily integrated with other digital assets and systems, allowing for new and innovative use cases.
9. Identity and credentialsNFTs can represent digital identities, certifications, or credentials, which can be easily verified and shared. This can be particularly useful in education, employment, or government services for validating skills, qualifications, or personal information.
10. Loans and financial instrumentsHolders of blue chip NFTs, like valuable collections, real estate, or digital art pieces, can put them down as collateral and get loans and other available financial instruments. Once the collateral is approved and loan terms are agreed, the loan amount is transferred into the borrower’s digital wallet via smart contract execution.
The borrower repays the loan according to the agreed-upon terms. Once the loan is fully repaid, including interest, the NFT collateral is returned to the borrower. If the borrower defaults on the loan, the lender can seize the NFT collateral and sell it to recover their funds.
Learn more about NFT loans and lending.
This article was originally written by former AIMultiple industry analyst Arshia Mojtahedi and reviewed by Cem Dilmegani.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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Azure Logic Apps In 2023: Top 7 Use Cases
Azure Logic Apps, a cloud-based service within Microsoft’s Azure platform, provides a powerful way to design, develop, and deploy scalable solutions for business-to-business (B2B):
app integration
data integration
system integration
They allow users to automate, orchestrate, and simplify their business processes, collaborating across various system components. However, as Azure Logic Apps offer various services, users may get confused about which one to use and when. This article delves into the functionalities and benefits of Microsoft Azure Logic Apps.
What is Azure Logic Apps?Azure Logic Apps is a key component of Azure’s cloud computing offerings, designed to assist users in building integrated, scalable solutions without needing to manage hosting or runtime environments. The service offers pre-built templates and workflows, thus enabling you to connect your business-critical apps and services, automate tasks, and streamline processes; it is an integration platform as a service (iPaaS).
At its core, Azure Logic Apps uses a logic workflow definition with actions and triggers defined using JSON. Triggers initiate the workflow and can be based on specific conditions, while actions are the steps executed following the trigger event. See Figure 1 for Azure Logic Apps architecture.
Source: KCS
Benefits of Azure Logic Apps Scalability and Flexibility Integration and ConnectivityAzure Logic Apps comes equipped with many connectors for various services, including both Microsoft and non-Microsoft offerings. This wide array of connectors allows for seamless integration of services like SQL Server, Office 365, Salesforce, and many others, thus enabling users to create workflows that align with their business needs.
Rapid Development and DeploymentAzure Logic Apps can help businesses reduce the time it takes to develop and deploy applications. The service’s user-friendly interface and pre-built templates are one of the Azure functions, making the development of workflows a quicker, more streamlined process.
Enterprise-Grade SecurityAzure Logic Apps provides enterprise-grade security and compliance, with features like Azure Virtual Network connectivity, integration service environments, and managed identities. The service also complies with various global, industry-specific, and regional standards.
Working with Azure Logic Apps Designing a Logic AppCreating a Logic App is straightforward. You can start by selecting a trigger – an event that initiates the workflow. The service provides many pre-built triggers or allows you to create custom ones. Once the trigger is set, you can define actions to be performed once the trigger condition is met.
DeploymentAzure Logic Apps can be deployed through the Azure portal, Visual Studio, Azure CLI, or PowerShell as part of the logic apps workflow. This array of deployment options provides flexibility and enables continuous integration and deployment pipelines.
MonitoringAzure Logic Apps provides built-in monitoring and diagnostics tools that offer comprehensive, real-time visibility into the execution, success, and failure of your workflows. You can track the status and performance of your Logic Apps with Azure Monitor, Log Analytics, and App Insights.
Top 7 Use Cases 1- Order ProcessingAzure Logic Apps can automate the processing of orders from multiple sources, whether it’s a retail application, website, or B2B platform. For instance, once an order is placed, a Logic App can be triggered to validate the order, check inventory, send the order for fulfillment, and notify the customer.
2- SaaS Product Integration 3- Data IntegrationAzure Logic Apps can consolidate data from various sources, transform it, and send it to a central data repository. For instance, data collected from IoT devices can be processed and sent to a data warehouse for analysis.
4- Enterprise Workflow AutomationAzure Logic Apps can help automate repetitive tasks and orchestrate complex workflows in an enterprise environment. For example, an approval workflow for document reviews can be created where, upon a document’s submission, a Logic App is triggered that sends the document to the approvers and waits for their response. Once all approvals are collected, the Logic App can then move the document to an ‘Approved’ folder and notify the document owner.
Read our article(s) to learn about workload automation and enterprise job scheduling software.
5- Real-Time AnalyticsWith the help of Logic Apps, real-time analytics and response become possible. Consider a scenario in which social media posts are being monitored. When a specific event or trend is detected, a Logic App can trigger an alert or act, such as sending a report, initiating a marketing campaign, or notifying relevant stakeholders.
6- Hybrid Integration ScenariosIn many businesses, legacy systems still hold essential data or perform crucial tasks. Azure Logic Apps can securely connect to these on-premises systems, ensuring they aren’t left out of your modern workflows.
7- Scheduled TasksAzure Logic Apps can be used to schedule tasks that need to be done periodically. For example, a Logic App could be used to perform clean-up operations on a database at the end of the month or to send out newsletters to subscribers. Before 2023, users may know this service as Azure Scheduler, as Azure Logic Apps replaced it.
Further reading(s) and lists
ReferencesHe received his bachelor’s degree in Political Science and Public Administration from Bilkent University and he received his master’s degree in International Politics from KU Leuven .
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6 Best Speech Therapy Software To Use In 2023
6 Best Speech Therapy Software to Use in 2023
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Speech therapy software is used by both individuals and specialized institutions to keep track of patient progress and share documents across departments
Our top pick is a solution from PT Billing Solution that will keep track of all aspects of the business, including patient records.
Another great tool comes from Double Time Docs and it
automatically generates results for the Standardized assessment.
You can also go with a solution from Cedaron Medical that is always updated on legislation and medical norms.
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Speech therapy software is used by patients to practice at home in between sessions. It can help them improve their language on their own.
Such digital tools are becoming more commonly accepted these days as legit forms of home practice, maximizing the benefits of speech therapy.
Speech therapy software is becoming increasingly popular because patients are presented with tons of ways to make the most of their practice time.
On the other hand, speech therapy software can help business improve their operational, clinical, and billing functionalities and efficiency.
Such tools help practices, and health centers eliminate all the time-consuming paperwork and improve clinical productivity.
Here are five of the best speech therapy tools that come with extremely useful features for both patients and businesses.
What are the best speech therapy software for your business?This is a fully integrated Practice management program that is explicitly designed for Rehab sciences, and it can provide solutions and growth.
PT Practice Pro is a really evolved practice management software. With this program, you don’t need to manage multiple systems together.
The PT Practice Pro also comes with features including auto-posting ERAs, care plan management, insurance management, patient records, patient scheduling and registration, progress tracking, and practice management.
It is a web-based system that allows patients’ practice to handle documentation, reports, scheduling, and billing.
And it’s especially good with documentation. All the content is filtered by body part for easy access. Also, you can customize all the templates for your business.
Another huge benefit is that Practice Pro automates billing requirements specific to the patient and his or her payment options, including Medicare, Medicaid, Workers Comp, and others.
Practice Pro also fills your appeal forms and exports them as PDF documents for your convenience and it’s the best speech therapy EMR software.
Check out the program’s most important features:
The software is best used in practices that focus on the Rehabilitation Sciences
It serves all disciplines from Physical Therapy all the way to Aquatic Therapy
The program comes with fully customizable documentation
It provides scheduling features that allow doctors and staff members to schedule appointments
PT Practice Pro has an easy-to-use interface
It is one of the most robust and reliable systems in today’s market
⇒ Get PT Practice Pro
Double Time Docs is occupational therapy software that mainly serves Pediatric Speech-Language Specialists as well as individuals, private clinics, and schools.
It includes features such as progress tracking, assessment management, and patient records.
They currently have a couple of school and clinic-based versions that help you achieve documentation consistency among your SLP, OT, or PT teams.
The pricing starts at 5$ per month for individuals that will give you access to create, edit, and download your documents. For large teams, you will have to contact them to get a customized pricing quote.
The automatically generated result for the Standardized assessment is a huge time saver and one of the most utilized options of the app.
It actually takes about 3 hours to complete such evaluation, but the software will reduce that time to minutes.
And it will even reduce common errors like incorrect names or pronouns inherent when creating such a document.
Let’s take a look at some of its best features:
Will drastically reduce the number of common errors in the reports
Documentation consistency among SLP, OT, or PT teams in a school or clinic
Utilize DTD as a teaching tool for new SLP, OT, and PT graduates
Helps you address all aspects of your student with the comprehensive questions and format provided
⇒ Get Double Time Docs
This is an occupational and speech therapy practice management system that comes with CPT codes, libraries of diagnosis, and assessment tools.
The tool comes with integration with hospital HER, billing and patient permanent medical records.
You can use this tool specifically for rehab with lots of features for the physical, occupational, and speech therapists as well without having any issues communicating with the central hospital system.
The automated processes will save therapists and administrators lots of time with the paperwork.
CONNECT is one of the best on-premise practice management solutions for rehabilitative practices of all sizes and it’s also a great speech therapy software for adults.
The modules in this solution incorporate all the requirements for each specialty so you can customize workflows and access an increasing library of tests, tools, and measures.
Cedaron’s CONNECT aims to maximize efficiency and it’s always updated on legislation and compliance. Of course, that will lead to profits increase of your business.
Take a look at this tool’s essential features:
⇒ Get CONNECT
This is a modular medical solution that offers credential management, patient record management, appointment scheduling, and claims to process.
This solution comes with a table-driven interface to meet operational designations for any RCM process including CMS 1500 and UB04 claim requirements.
This is an excellent solution for billing companies that are looking for a reliable and proven professional Accounts Receivable solution that drastically reduces processing times, shortens payment cycles, and increases cash flow.
Mercury Medical is a practice management solution ideal for a variety of specialties and practices provided on SaaS or On-Site.
It comes with business-intelligent reporting that can offer information to negotiate contract terms and ensure compliance
Expert tip:
It also comes with a great support team that will help you deal with any integration efforts along the way. It integrates well with stroke speech therapy software.
Take a look at the most impressive features of this system:
It allows users to customize solutions with an easy interface
Mercury Medical has 63 reports that are configured with filters and that provide data analytics
It lets users supplement business decisions
Users can also manage bundled payments
The program is entirely HIPAA compliant
⇒ Get Mercury Medical
ReDoc powered by xfit Software is a cloud-based rehab therapy documentation, scheduling and practice management software.
This is a fully integrated solution from Net Health, and it drives PT, OT, and SLP workflow that helps practices move through the day quickly and efficiently.
Besides software, more services are available such as the one for billing and collections and workflow optimization consulting.
This program will turn out to be all you need for scheduling, billing and electronic medical records.
The software comes with options such as integrated fax management, appointment reminders, and an integrated home exercise program.
It also features an excellent infrastructure for communication and issue resolution that will help you in any possible situation.
Moreover, ReDoc is easily adaptable to your business and very simple to operate across all your departments.
Here are the best features of this software:
It ensures compliance and boosts efficiency
It supplies enough tools to grow the revenue
It provides users access to over eleven million therapy episodes of care
The program is straightforward to use and very functional
Flexible and adaptable to your clinic procedures
The program gets regular updates and security measures
This solution includes functional assessments and configurable workflow
⇒ Get ReDoc
Optima Therapy by Optima Healthcare Solutions offers streamlined workflows and compliance tools to improve clinical, operational, and billing efficiencies.
This cloud-based solution provides electronic medical records, patient scheduling, and billing to speech therapy, physical therapy, and rehabilitation practices. It is ideal for practices of all sizes.
Overall, Optima Therapy is the leading therapy management solution for contract therapy businesses and skilled nursing facilities as well.
It comes with integration with more than thirty software systems, and it will help your business thrive, and your patients get the best care.
The system is easy to deploy, and it comes with customizable and secure functionalities. It’s continuously updated in order to comply with regulatory requirements.
You can use the tool to manage billings, denials and appeals, eligibility, invoicing, and e-signatures that will get you through the necessary paperwork.
Check out its essential features below:
It provides case management features
You can use this program to set up therapy plans based on various disciplines and diagnosis codes.
It comes with automated scheduling tools
The system includes configurable calendar views
It provides capacity alerts for therapists
You can enter therapy notes while you are offline and they will be synced once you go online
The business intelligence module offers reporting and role-based dashboards
Users can access features using Android, iOS and Windows devices
⇒ Get Optima Therapy
Here is where our roundup of the best services for speech therapy comes to an end. Each solution presented above comes with its unique set of features targeted at different needs and clients.
Analyze them all and choose the one that seems the best suited for your needs and for increasing your medical business efficiency and productivity and for helping your patients.
Select the best medical care softwareAll these software solutions provide the most necessary tools to run your practice and to help you deliver the best quality medical care.
Speech therapy software and services also help you communicate better with compliant documentation and boost workflow and efficiency between the financial and the clinical side of your practice.
If you’re in charge of the clinic’s documentation department, whether you’re dealing with 3 or 10 departments, you will need to take some important factors when choosing the software.
Assess the level of paperwork needed for each department
The software addressed in our article is focused on speech therapy and language training but you can use it in many other departments and practices.
The first step is to find out exactly what papers the clinicians need to fill and any other compliance documents and then fit the software accordingly.
Ensure security and a proper back-up system
The medical business, any healthcare business is in danger of disclosing or losing patient data and that is a liability problem with rather catastrophic consequences for your business.
Make sure that the software you’re implementing across your business is perfectly safe or secure it with backup systems and malware protection.
Pick the best level of assistance
When you decide on a software solution for your business, make sure that you will have all the assistance necessary to implement and support it within your practice.
Whether you have a capable IT department or not, there are issues that can only be solved by the developer of the software. That goes also for updating the system.
That concludes our guide and list with the best speech therapy apps for Windowse that will help your business.
If you’re also interested in tools designed specifically for clinicians, you can also check our speech therapy/language training software for Windows list.
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Top 3 Use Cases Of Ai Api With Examples In 2023
Almost 70% of companies have reported an increase in their revenue after the adaptation of AI in 2023. Additionally, companies that use API have seen their share price increase by more than 12% relative to companies that don’t. Combining AI and API can unlock new potential for companies by simplifying the usage of AI models.
However, executives might have a lack of knowledge regarding the use cases of AI API. Therefore, in this article, we will cover the top 3 use cases of AI APIs and provide examples of APIs that enable AI integration. Additionally, we will cover the impact that AI has on API testing.
1- Text & speech analysisNatural language processing (NLP) is an AI-based technology that allows computers and machines to comprehend human speech and text. NLP API will enable developers to utilize the existing NLP models and platforms without creating an NLP. This is a significant benefit as developing NLP models is cumbersome and expensive as they require a substantial amount of data gathering & labeling.
General NLP benefits include:
If you are interested in use cases of NLP, read the Comprehensive Guide to Top 30 NLP Use Cases & Applications.
An example of AI API that use NLP is:
Google cloud natural language APIThis API enables developers to apply natural language understanding (NLU) to their apps. It includes features such as :
Sentiment analysis,
Entity analysis,
Content classification,
Syntax analysis.
In Figure 1, you can see an example of this API in use:
Figure 1. Google cloud natural language API in use
2- Computer visionComputer vision is an AI-enabled technology in which images and videos can be analyzed to retrieve meaningful information from them. Actions or recommendations can be made based on the results. Computer vision APIs enable using existing computer vision models instead of developing a computer vision model yourself, as developing computer vision models is expensive and time-consuming.
Computer vision has a variety of use cases in different industries such as:
Detecting tumors and cancers in the healthcare industry.
Inventory management in the retail industry.
Crop monitoring in agriculture .
Autonomous driving in the automotive industry.
An example of computer vision API is :
Microsoft Azure computer vision APIsDevelopers can retrieve information from the images that they specify which will be analyzed by the Microsoft image processing algorithm. Some of the information that can be retrieved from their APIs are:
Visible brands in the image,
Description of the image,
Faces in the image and their sex and age,
Landmark location,
Celebrity detection.
3- Machine learningMachine learning (ML) is a part of AI & computer science that focuses on using data & algorithms to simulate how humans learn so it can gradually increase the accuracy of the system.
APIs can be used to access ML models in order to implement them in analysis or applications. They provide a set of functions and tools that can be used in ML development. Machine learning has many use cases, such as :
Algorithmic trading in the finance industry.
Genomic analysis in the healthcare industry .
Predictive analytics in the manufacturing industry.
IBM Watson machine learning APIUsing IBM Watson machine learning API, models can be :
Trained.
Stored.
Scored.
Deployed.
Integrated.
IBM Watson’s machine learning platform provides tools that can fully automate your training processes.
We have provided you with a data-driven list of more than 300 AI APIs that you can access here.
Effect of AI on API testingAPI testing is an important aspect of API development as it increases the chances of API functioning as desired. However, API testing is a time-consuming task if done manually. AI-enabled testing can automate API testing which in turn can:
Reduce the cost of testing
Reduce the time of testing
Increase testing coverage
Sponsored
PULSE is an automated AI-enabled tool for API testing, provided by Testifi. PULSE can decrease the cost & effort of testing by 50%. Many reputable companies such as Amazon and BMW use Tesifi’s services.
You can check our list of top API testing tool providers here.
If you have questions about how to use AI API do not hesitate to contact us:
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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Top 12 Use Cases & Examples Of Retail Chatbots In 2023
Over 70% of chatbot conversations are expected to be with retail conversational AI systems in 2023. Additionally, in a survey, ±40% of U.S. consumers stated that they have used chatbots to engage with the retail industry. And as of 2023, ±54% of consumers had daily AI-enabled interactions with retail organizations.
Chatbots provide 24/7 support, answer FAQs, and can offer promotions to customers based on their intent, making them a great candidate for retailers to improve customer satisfaction and brand loyalty.
Top 12 chatbot use cases in retail
According to the National Retail Federation, 54% of shoppers go online to purchase something specific, and what makes them choose a specific brand to shop is:
The ability to find what they want quickly and easily (58%).
Quality customer service (44%).
Speedy and simple checkouts (42%).
These features can all be embedded into the chatbots, making them excellent integrations with retail websites and communication platforms.
Sponsored:
Salesforce is the CRM market leader and Salesforce Contact Genie enables multi-channel live chat supported by AI-driven assistants. Salesforce Contact Center enables workflow automation for many branches of the CRM and especially for the customer service operations by leveraging chatbot and conversational AI technologies for a personalized customer experience.
Chatbot use cases in retail include:
1. Search for products 2. RecommendationsRecommendation engines integrated to chatbots can help retailers increase revenue and help users discover products that fit well with their tastes. Such adaptation of chatbots especially on messaging apps like WhatsApp is also called conversational commerce and enhanced customer satisfaction due to recommendations cause customers to spend more.
3. Locate nearby storesA customer may want to see or try on a product that they found while browsing the website, in person. Via the chatbot, the customer can locate nearby stores, enquire about the product’s availability, and find out about opening hours.
4. Place orders and pre-ordersCustomers can choose the product they want to purchase, set up their address and contact information, and place their order via the chatbot.
Additionally, the chatbot can provide information about upcoming products that are relevant to the customer’s preferences , and allow them to pre-order new products before they start shipping.
For example, an office supplies retail company, Staples, integrated IBM Watson’s chatbot to their Facebook messenger, Slack, and texting services. The chatbot allows customers to place orders for current and up-coming products from the Staples stores.
5. Track packagesOnce the order is placed via the chatbot, the customer can ask about the whereabouts of the package, date and time of delivery, and information about the post service, such as their local branch’s contact information.
Source: Roborobo
6. Customer education / FAQInstead of speaking to a live agent, the customer can get information from a chatbot about the product, such as the return policy of products, promotional campaigns, discounts coupons, and FAQs.
7. Support live agentsChatbots are linked to the company’s database where all information about products, services, features, and locations exist. If customers prefer speaking to live agents, the agent can rely on the chatbot to quickly look up answers and prevent wrong information being communicated to customers.
Sponsored:
Haptik builds sales chatbots and intelligent virtual assistants (IVA) for many firms from a variety of industries to improve their processes, sales and customer satisfaction.
Haptik’s chatbots have answered over 4bn customer queries as of today, and thus making them suitable to be leveraged in the retail sector.
8. Send personalized notificationsChatbots typically ask users for their contact info during the conversation. This provides an opportunity for retailers to use the customers’ info to send users updates and notifications about new products, annual or seasonal sales, as well as branch openings and events.
These messages and notifications are based on a customer’s information, demographics, preferences, searches, and previous orders.
To find case studies regarding personalized notifications you can read our Top 5 Conversational Commerce Examples & Success Stories article.
9. Manage loyalty pointsFor retailers that provide customers with loyalty points, chatbots can ping the users and tell them about currently available points in their credit, and direct them to purchasing links or promotions where they can spend these points.
Source: Miracle Software Systems
10. Manage complaintsThe chatbot can register online complaints by asking about the incident details. The data and insights gathered through the chatbot for oversight and policy development purposes.
11. Collect customer feedbackInstead of reaching out to the customer to fill a satisfaction survey after a purchase, a chatbot can directly ask the customer questions, such as, ranking the product, the mail service, packaging, etc. in order to analyze consumer behavioral patterns and enhance the shopping experience.
12. Monitor use sentimentNLP and affective AI technologies can analyze all customer conversations to infer their levels of satisfaction without asking them to fill surveys.
Integrating such technologies to chatbots enable a better customer experience. For example, they can help predict customers’ emotions. Some example use cases include:
Enhance the customer’s experience or provide warnings when the user is in distress.
Identify which recommendations derive delightful experiences for customers and try to replicate those experiences.
Other technologies for retailChatbots are one of many technologies which the retail industry can benefit from. Other eCommerce technologies include AI, RPA, intelligent automation, web crawling, and analytics which we’ve wrote in detail about. Combining these technologies will enable:
Brand endorsement by customizing shopping experiences.
Data and prediction-driven merchandize and promotions.
Managing a higher volume of orders at the same time.
Reduction of cost-to-serve:
Chatbots can serve as helpers in self-service cashier stands.
Analytics can offer predictions about customer service workload.
Analytics can also offer estimations about in-store replenishment workload, such as shelving.
However, to reap the benefits of AI technologies, especially chatbots, a high level of training and testing is required to recognize the user’s intent and provide them with proper responses. Otherwise, chatbots may say unacceptable things, or simply not take no for an answer which could drive customers away from the brand. Feel free to read our articles about chatbot failures and A/B testing to avoid them.
For more on chatbotsFor more applications of chatbots in different industries, feel free to read our articles:
To learn more how AI is helping businesses today, feel free to read our article 100+ AI Use Cases & Applications: In-Depth Guide
If you have any more questions about conversational AI, download our comprehensive whitepaper on the topic:
You can also download our voice bot whitepaper:
And if you are ready to invest in an off-the-shelf conversational AI product, we can help:
This article was drafted by former AIMultiple industry analyst Alamira Jouman Hajjar.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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