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A Gentle Introduction to Bot as a Service (BaaS)

  • Soumalya Bhattacharyya
  • May 03, 2023
A Gentle Introduction to Bot as a Service (BaaS) title banner

Technology as a service is the notion of offering the advantages of technology to a business without the tool being on-premises or requiring a long-term commitment. Typical instances include:

 

  • Software as a Service (SaaS), 

  • Infrastructure as a Service (IaaS)

  • Bot as a Service (BaaS), also known as Robot as a Service (RaaS)

 

BaaS suppliers allow organizations to use chatbots or RPA bots on a pay-as-you-go basis, eliminating the need to license the bot or educate a technical team to manage and maintain it. Please keep in mind that BaaS can also refer to Backend as a Service.

 

Bot as a service (BaaS) is becoming increasingly popular. Its expansion is being driven by firms who are optimizing their digital transformation strategy by increasing their exposure to innovative technology while minimizing complexity. Nevertheless, employing a bot as a service has several obstacles, such as data privacy and cloud uptake in EU organizations.


 

What is Bot as a Service (BaaS)?

 

Bot as a Service technology is the supply of business solutions controlled off-premises by the service provider for a specific business advantage. The system design and service availability are geared to the unique demands of a business, giving a cost-effective approach for firms to equip themselves with essential technology without the danger of large capital expenditure.

 

Infrastructure as a Service (IaaS) and Software as a Service (SaaS) are two examples of managed technology solutions that organizations may use to achieve their goals. Bot as a Service (BaaS), also known as Robot as a Service (RaaS), provides organizations an advantage in handling their contacts using chatbots, RPA bots, voice bots, IVRS, and so on under a pay-as-you-go model. The bot does not require a license or a separate technical team to operate. For businesses that handle complicated procedures at their back-end operations, BaaS is also an excellent alternative for automating Backend as a Service.

 

Bot as a Service (BaaS) has grown in popularity over the last decade, with advances in artificial intelligence (AI) introducing new use cases and financial advantages. Its expansion is due to firms constantly modifying their digital transformation strategy by embracing emerging technology with the least amount of complexity. Nonetheless, difficulties such as cloud adoption and data protection remain in many EU firms.

 

You may use Azure Bot as a Service to tailor your BaaS capabilities by using the various Microsoft corporate apps and connectors.

 

Bots-as-a-Service (BaaS) is one of the different delivery services to assist you in kicking off your RPA journey and accelerating your digital transformation. For enterprises that want to reap the benefits of RPA but cannot afford the upfront costs of licensing, IT infrastructure, programming resources, and support staff to manage and operate bots, BaaS offers a reduced barrier to entry.

 

The BaaS approach leverages the cloud to design and deploy bots with rich integration features and scalability at any organization. Software bots are designed to do rule-based chores that lessen or replace the boring tasks of tech experts, freeing up their time to supply high-level, substantial practices for Intelligent human capabilities.

 

The BaaS approach may help you overcome RPA entrance challenges such as a high learning curve, IT training issues, money, and compliance by providing unique end-to-end development and support for your RPA processes together with a detailed plan and roadmap.


 

Differences between BaaS and Serverless Computing

 

BaaS and serverless computing have certain similarities in that both require developers to focus solely on writing application code without considering the backend. Moreover, a lot of BaaS suppliers provide serverless computing services. A genuine serverless architecture and apps developed with BaaS, however, operate quite differently.

 

  • In serverless applications, the backends are divided into functions, each of which response to events and only carries out one operation. Meanwhile, BaaS server-side features are built any way the provider pleases, so developers don't have to worry about writing anything other than the application's front end.

 

  • The event-driven nature of serverless architectures is that they operate in response to events. Each function is only activated when a certain event occurs; otherwise, it is not active. As BaaS applications are frequently not event-driven, they demand more server resources.

 

  • Edge computing may be included in the architecture of the program by running code at the network's edge since serverless tasks can be executed from any location on any machine, as long as they are still in contact with the rest of the application. BaaS may not always be configured to let code execute whenever, from any place.

 

  • One of the key characteristics that set serverless systems apart from other types of architecture is scalability. While using serverless computing, the application scales up automatically as consumption grows. The architecture of the cloud vendor spins up temporary instances of each function as needed. Unless the BaaS provider additionally offers serverless computing and the developer incorporates this into their application, BaaS applications are not configured to grow in this manner.


 

Which bots are recommended for use as a service?

 

With the improved availability of the best software, low-code platforms, and content libraries, the development of complex conversational AI bots has also grown. Bots come in a variety of forms, including social media bots, web crawling bots, scraping bots, virtual assistants, and so on. 

 

Nonetheless, chatbots and RPA bots are the most popular commercial solutions. Rather than an in-house infrastructure, RPA bots, and chatbots are frequently offered as managed cloud-based services. These bots can leverage powerful AI to automate manual processes, decreasing the complexity of internal operations and enabling better communication with consumers and inside the business.

 

The more complex your AI-powered bot, the less human interaction is necessary to properly manage operations. Let's have a look at some of the conversational AI bots that are being utilized to increase the efficiency of commercial operations.

Which bots are recommended for use as a service?

Which bots are recommended for use as a service?

 

  1. Chatbot as a Service:

 

Chatbot as a Service (CaaS) is also known as Chatbot SaaS and enables enterprises to easily implement chatbot functionality. Chatbots perform a variety of activities such as contact center agents, employee support help, shopping assistance, and so on, and are built using existing templates on low-code/no-code platforms.

 

Chatbot as a service is a software solution that provides information from machines in a conversational, natural manner using voice and text. Natural language processing (NLP) is used by chatbots to empathize with humans and comprehend their purpose. Chatbots produce replies and suggestions based on AI and machine learning training models that are built into their basic design.

 

Chatbots have a wide range of applications in healthcare, BPO, finance, travel, and real estate, making it simpler for consumers to obtain rapid answers to their questions. They are used to answer frequently asked questions, provide 24/7 customer care, create leads, and analyze client behavior.

 

Chatbots exploded during the shutdown era when practically the whole globe was forced to lock down due to the deadly coronavirus. People trusted bot technology fully throughout this period, such as in the Indian BFSI, retail, pharma, and IT sectors, which saw a 30-40% increase in HR-related inquiries, with entry-level employees accounting for roughly 50% of these. 

 

Not only that, but the lockdown left many individuals feeling lonely and anxious, fueling the desire for chat buddies like Replika. An AI-based chatbot companion, which had about 7 million members by the middle of 2020, saw a 35% increase in traffic during the lockdown period.

 

Some well-known chatbot service providers include:

 

  • Microsoft Azure 
  • IBM 
  • Fonetic 
  • AI BaaS


 

  1. RPA Bot as a Service:

 

The RPA ecosystem is a fast-expanding worldwide corporate software industry, with sales predicted to increase from $846 million in 2018 to $11 billion by 2027.

 

RPA bot as a Service (RPAaaS) refers to the process of outsourcing complicated jobs to an intelligent virtual machine for automation. The AI-powered RPA bot can conduct repetitive, time-consuming rule-based operations on the cloud with ease thanks to computer vision and machine learning. This saves time and resources that would otherwise be spent on specific business operations, enhancing user experiences and overall organizational efficiency.

 

This technology has a lot of potential for system integration companies and insurance companies. The usage of RPA bots created on the Agro Labs minimal code platform to generate reports from Excel, SAP, and email activity is an example of RPA automation. Within the first 60 days of installation, the RPA bot cut monthly reporting time by 60 hours.

 

Some examples of RPAaaS service providers include:

 

  • UiPath 
  • Digital Workforce 
  • BluePrism 
  • Robocloud


 

  1. Web Scraper as a Service:

 

Websites are routinely updated, including layout changes and optimization for greater visibility. Businesses find it harder to obtain critical data as a result. Web scraping firms are founded on discovering data sets needed by their clients to construct self-contained web scraping applications. 

 

These web scrapers ensure that clients have access to the most up-to-date information. Fintech firms and hedge funds employ technology to keep ahead of public markets to provide such Data as a Service benefits. Web scrapers use extracted data to optimize web portals for improved exposure and performance.


 

Challenges of Implementing BaaS

 

Bot as a Service is a cloud-based technological solution and consequently faces several typical issues, such as:

 

  1. Data security:

 

Most cloud services keep sensitive corporate data such as security keys, partner data, customer data, and employee data on a large hosting domain that is vulnerable to breaches, identity theft, or hacking. Even though BaaS providers also provide data privacy solutions for data encryption following acceptable cybersecurity practices, the cloud is frequently subject to attacks.


 

  1. Cloud adoption:

 

Many firms have yet to embrace a cloud-first strategy. The majority of systems and processes are still reliant on physical infrastructure. According to a 2020 poll, 8% of firms still employ on-premises native IT infrastructures. Businesses that want to use BaaS must set up a cloud backup to enable a seamless transition from on-premises to managed service.

 

By implementing data protection policies and secure APIs for hybrid automation, which is a blend of on-premises and cloud architecture, BaaS solutions avoid the aforementioned dangers.


 

Conclusion:

 

The continuous consumerization of automated bot assaults is represented by BaaS. To obtain the hottest sneaker, food delivery service slot, luxury apparel item or accessory, or gaming console, a user merely has to hire the proper bot, which comes equipped with how-to manuals, community assistance, user evaluations, and access to drop information. 

 

BaaS solutions are tailored to specific sites, provide 24x7 support, and have a guaranteed hit rate. Prices range from $400 on the low end to more than $5000 on the high end. These BaaS systems have a thorough grasp of botting, with automation designed for each stage of purchasing a high-demand item on their supported retail sites.

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