Claims:CLAIMS
What is claimed is:
1. A method of identifying impact of a technology on a business, the method comprising:
performing (402), via a computing device, regression analysis and a first Natural Language Processing (NLP) model on each of a plurality of sets of data, to extract a subset of data associated with each of a plurality of business parameters, wherein the plurality of sets of data is extracted from at least one company document;
converting (404), via the computing device, the subset of data associated with each of the plurality of business parameters to a subset of converted data based on a second NLP model, wherein the subset of converted data is in conformance with a plurality of technology parameters specific to the technology;
determining (406) for the technology, via the computing device, a value for each of the plurality of technology parameters, based on the subset of converted data;
determining (408), via the computing device, an impact factor of each of the plurality of technology parameters relative to each of the plurality of business parameters, based on the determined value of each of the plurality of technology parameters;
comparing (410), via the computing device, the impact factor determined for each of the plurality of technology parameters with an impact threshold;
identifying (412), via the computing device, a set of technology parameters from the plurality of technology parameters, based on the comparison with the impact thresholds; and
determining (414) for the set of technology parameters, via the computing device, a transformation matrix of the technology applied to the business.

2. The method of claim 1, further comprising extracting the plurality of sets of data from at least one company document and retrieving the at least one company document from a plurality of data sources.

3. The method of claim 2, further comprising identifying at least one data source from the plurality of data sources, wherein relevancy of data extracted from the at least one data source is above a predefined threshold, and further comprising bucketing the subset of converted data based on the at least one technology parameter, wherein the plurality of business parameters comprises at least one of Information Technology (IT) deployment, Operational Technology (OT) deployment, infrastructure used, balance sheets, finance, vision, new technology, nature of business, expenses, new business ideas, business annals, or Manufacturing, and wherein the plurality of technology parameters comprises at least one of capacity, speed, density, latency, security, quality of service, mobility, infrastructure reduction, automation, or ease of deployment.

4. The method of claim 1, wherein determining the transformation matrix of the technology applied to the business comprises:
identifying at least one new business vertical that could be achieved through adoption of the technology in the business;
determining new business value generated via the at least one new business vertical; and
determining a loss value incurred in response to non-adoption of the technology.

5. The method of claim 8, further comprising generating a report comprising the transformation matrix and an executive summary associated with the transformation matrix.

6. A system (102) of identifying impact of a technology on a business, the system (102) comprising:
a processor (202); and
a memory (204) communicatively coupled to the processor (202), wherein the memory (204) stores processor-executable instructions, which, on execution, causes the processor (202) to:
perform regression analysis and a first Natural Language Processing (NLP) model on each of a plurality of sets of data, to extract a subset of data associated with each of a plurality of business parameters, wherein the plurality of sets of data is extracted from at least one company document;
convert the subset of data associated with each of the plurality of business parameters to a subset of converted data based on a second NLP model, wherein the subset of converted data is in conformance with a plurality of technology parameters specific to the technology;
determine for the technology a value for each of the plurality of technology parameters, based on the subset of converted data;
determine an impact factor of each of the plurality of technology parameters relative to each of the plurality of business parameters, based on the determined value of each of the plurality of technology parameters;
comparing the impact factor determined for each of the plurality of technology parameters with an impact threshold;
identify a set of technology parameters from the plurality of technology parameters, based on the comparison with the impact thresholds; and
determine for the set of technology parameters, a transformation matrix of the technology applied to the business.

7. The system (102) of claim 6, wherein the processor-executable instructions further cause the processor (202) to extract the plurality of sets of data from at least one company document and retrieve the at least one company document from a plurality of data sources.

8. The system (102) of claim 7, wherein the processor-executable instructions further cause the processor (202) to identify at least one data source from the plurality of data sources, wherein relevancy of data extracted from the at least one data source is above a predefined threshold, and wherein the processor-executable instructions further cause the processor to bucket the subset of converted data based on the at least one technology parameter, wherein the plurality of business parameters comprises at least one of Information Technology (IT) deployment, Operational Technology (OT) deployment, infrastructure used, balance sheets, finance, vision, new technology, nature of business, expenses, new business ideas, business annals, or Manufacturing, and wherein the plurality of technology parameters comprises at least one of capacity, speed, density, latency, security, quality of service, mobility, infrastructure reduction, automation, or ease of deployment.

9. The system (102) of claim 6, wherein to determine the transformation matrix of the technology applied to the business, the processor-executable instructions further cause the processor (202) to:
identify at least one new business vertical that could be achieved through adoption of the technology in the business;
determine new business value generated via the at least one new business vertical; and
determine a loss value incurred in response to non-adoption of the technology.

10. The system (102) of claim 9, wherein the processor-executable instructions further cause the processor (202) to generate a report comprising the transformation matrix and an executive summary associated with the transformation matrix.

Description:DESCRIPTION
Technical Field
[001] Generally, the disclosure relates to automated systems for analysis of technology impact. More specifically, the disclosure relates to a method and system for identifying technology impact on business.
Background
[002] In telecommunications, 5G corresponds to a fifth-generation technology standard for broadband cellular networks. 5G may be the planned successor to the 4G networks which provide connectivity to cellphones presently. Cellular phone companies began deployment of 5G worldwide in 2019. 5G networks may be predicted to have a huge number of subscribers (in billions) worldwide by 2025, according to the GSM Association. The conventional systems may determine any impact on technology, based on hypothetical business segments, potential market capture and identifying cost for implementation by market study or extrapolation using previous or parallel technologies, but not with a new or upcoming technology. Accordingly, there is a need for a method and system for identifying impact of the upcoming technology on a business.
SUMMARY
[003] In accordance with one embodiment, a method of identifying impact of a technology on a business is disclosed. The method may include performing regression analysis and a first Natural Language Processing (NLP) model on each of a plurality of sets of data, to extract a subset of data associated with each of a plurality of business parameters. In accordance with an embodiment, the plurality of sets of data is extracted from at least one company document. The method may further include converting the subset of data associated with each of the plurality of business parameters to a subset of converted data based on a second NLP model. The subset of converted data is in conformance with a plurality of technology parameters specific to the technology. The method may further include determining for the technology a value for each of the plurality of technology parameters, based on the subset of converted data. The method may further include determining an impact factor of each of the plurality of technology parameters relative to each of the plurality of business parameters, based on the determined value of each of the plurality of technology parameters. The method may further include comparing the impact factor determined for each of the plurality of technology parameters with an impact threshold. The method may further include identifying a set of technology parameters from the plurality of technology parameters, based on the comparison with the impact thresholds. The method may further include determining for the set of technology parameters a transformation matrix of the technology applied to the business.
[004] In another embodiment, a system of identifying impact of a technology on a business is disclosed. The system includes a processor and a memory communicatively coupled to the processor. The memory may store processor-executable instructions, which, on execution, may causes the processor to perform regression analysis and a first Natural Language Processing (NLP) model on each of a plurality of sets of data, to extract a subset of data associated with each of a plurality of business parameters. In accordance with an embodiment, the plurality of sets of data is extracted from at least one company document. The processor-executable instructions, on execution, may further cause the processor to convert the subset of data associated with each of the plurality of business parameters to a subset of converted data based on a second NLP model. The subset of converted data is in conformance with a plurality of technology parameters specific to the technology. The processor-executable instructions, on execution, may further cause the processor to determine for the technology a value for each of the plurality of technology parameters, based on the subset of converted data. The processor-executable instructions, on execution, may further cause the processor to determine an impact factor of each of the plurality of technology parameters relative to each of the plurality of business parameters, based on the determined value of each of the plurality of technology parameters. The processor-executable instructions, on execution, may further cause the processor to compare the impact factor determined for each of the plurality of technology parameters with an impact threshold. The processor-executable instructions, on execution, may further cause the processor to identify a set of technology parameters from the plurality of technology parameters, based on the comparison with the impact thresholds. The processor-executable instructions, on execution, may further cause the processor to determine for the set of technology parameters a transformation matrix of the technology applied to the business.
[005] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
BRIEF DESCRIPTION OF THE DRAWINGS
[006] The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate exemplary embodiments and, together with the description, serve to explain the disclosed principles.
[007] FIG. 1 is a block diagram that illustrates an environment for a system for identifying impact of a technology on a business, in accordance with an embodiment.
[008] FIG. 2 is a functional block diagram that illustrates an exemplary system for identifying impact of a technology on a business, in accordance with an embodiment.
[009] FIG. 3A is a functional block diagram 300A that illustrate process flow automation in a framework of a system for identifying impact of a technology on a business, in accordance with an embodiment.
[010] FIG. 3B is a block diagram that illustrates automated data generation script used in a framework of a system for identifying impact of a technology on a business, in accordance with an embodiment.
[011] FIG. 3C is a block diagram that illustrates translation layer used in a framework of the system for identifying impact of a technology on a business, in accordance with an embodiment.
[012] FIG. 3D is a block diagram that illustrates analytics layer used in a framework of the system for identifying impact of a technology on a business, in accordance with an embodiment.
[013] FIG. 3E is a block diagram that illustrates tabular representation for script output, in accordance with an embodiment.
[014] FIG. 3F is a diagram that illustrates intelligent agent used in a framework of the system for identifying impact of a technology on a business, in accordance with an embodiment.
[015] FIGS. 3G-3H, respectively, illustrate construct layer and display of the framework of system for identifying impact of a technology on a business, in accordance with an embodiment.
[016] FIG. 4 is a flowchart that illustrates an exemplary method for identifying impact of a technology on a business, in accordance with an embodiment.
DETAILED DESCRIPTION
[017] Exemplary embodiments are described with reference to the accompanying drawings. Wherever convenient, the same reference numbers are used throughout the drawings to refer to the same or like parts. While examples and features of disclosed principles are described herein, modifications, adaptations, and other implementations are possible without departing from the spirit and scope of the disclosed embodiments. It is intended that the following detailed description be considered as exemplary only, with the true scope and spirit being indicated by the following claims. Additional illustrative embodiments are listed below.
[018] The following described implementations may be found in the disclosed system and method for identifying impact of a technology on a business. New technologies, such as 5G may impact the way of communication, sharing and doing business. In other words, the disclosed system may correspond to an ingenious automation process and constructs to understand impact on businesses for using a technology (such as, 5G), sectors, risk-gain benefit, and areas of immediate advantage. Exemplary aspects of the disclosure provide a method and system that automates the collation of business-critical data, analyze co-relation with any technology, estimate impact of technology transformation and assign financial assessment of the same. The disclosed system may simplify businesses understanding. The disclosed system may point out further areas where technology transformation can help gain newer markets and thereby increase the financial gains of the company.
[019] FIG. 1 is a block diagram that illustrates an environment for a system for identifying impact of a technology on a business, in accordance with an embodiment. With reference to FIG.1, there is shown an environment 100. The environment 100 includes a system 102, a server 104, an external device 106, and a communication network 108. A user 110 may be associated with the system 102. Additionally, or alternatively, the user 110 may be associated with the external device 106.
[020] The system 102 may be communicatively coupled to the server 104 and the external device 106, via the communication network 108. The system 102 may include one or more Natural Language Processing (NLP) models and Artificial Intelligence (AI) models (not shown in FIG. 1), for example, as part of an application stored in memory of the system 102. A framework of the system 102 may be configured to identify impact of a technology on a business. Such framework may correspond to a business transformation automation framework on a technology (such as, 5G). in other words, the system 102 may include suitable logic, circuitry, interfaces, and/or code that may be configured to implement a business transformation automation framework for identifying impact of a technology on a business. In accordance with an embodiment, the system 102 may host the software application. The business transformation automation framework may include programs to interact with the software application. The business transformation automation framework may also include a library that stores commands for communicating with an interface (e.g., an API) of the software application.
[021] By way of example, the system 102 may be implemented as a plurality of distributed cloud-based resources by use of several technologies that are well known to those skilled in the art. In accordance with an embodiment, the system 102 may include one or more dedicated computers. Other examples of implementation of the system 102 may include, but are not limited to, a computing device, a web/cloud server, an application server, a media server, and a Consumer Electronic (CE) device.
[022] The server 104 may include suitable logic, circuitry, interfaces, and/or code that may be configured to store, maintain, and execute one or more software platforms and programs, such as NLP programs, online applications, and one or more databases. Although in FIG. 1, the system 102 and the server 104 are shown as two separate entities, this disclosure is not so limited. Accordingly, in some embodiments, the entire functionality of the server 104 may be included in the system 102, without a deviation from scope of the disclosure.
[023] The external device 106 may include suitable logic, circuitry, interfaces, and/or code that may be configured to facilitate communication of the one or more users, such as the user 110, with the system 102. In accordance with an embodiment, the external device 106 may implement the business transformation automation framework for identifying impact of a technology on a business. The external device 106 may be capable of communicating with the system 102 via the communication network 108. The external device 106 and the system 102 are generally disparately located. The functionalities of the external device 106 may be implemented in portable devices, such as a high-speed computing device, and/or non-portable devices, such as an application server. Examples of the external device 106 may include, but are not limited to, a computing device, a smart phone, a mobile device, a laptop, a smart watch, an MP3 player, a personal digital assistant (PDA), an e-reader, and a tablet.
[024] The communication network 108 may include a communication medium through which the system 102, the server 104, and the external device 106 may communicate with each other. Examples of the communication network 108 may include, but are not limited to, the Internet, a cloud network, a Wireless Fidelity (Wi-Fi) network, a Personal Area Network (PAN), a Local Area Network (LAN), or a Metropolitan Area Network (MAN). Various devices in the environment 100 may be configured to connect to the communication network 108, in accordance with various wired and wireless communication protocols. Examples of such wired and wireless communication protocols may include, but are not limited to, a Transmission Control Protocol and Internet Protocol (TCP/IP), User Datagram Protocol (UDP), Hypertext Transfer Protocol (HTTP), File Transfer Protocol (FTP), Zig Bee, EDGE, IEEE 802.11, light fidelity(Li-Fi), 802.16, IEEE 802.11s, IEEE 802.11g, multi-hop communication, wireless access point (AP), device to device communication, cellular communication protocols, and Bluetooth (BT) communication protocols.
[025] During operation, the user 110 associated with the external device 106 may request the business transformation automation framework implemented on the system 102 for identifying impact of a technology on a business, via the communication network 108. In accordance with an embodiment, the system 102 may also trigger the software application for identifying impact of a technology on the business. In response to the request for identifying impact of a technology on a business, the system 102 may be configured to perform regression analysis and a first Natural Language Processing (NLP) model on each of a plurality of sets of data, to extract a subset of data associated with each of a plurality of business parameters. In accordance with an embodiment, the plurality of sets of data may be extracted from at least one company document. In accordance with an embodiment, the system 102 may be configured to convert the subset of data associated with each of the plurality of business parameters to a subset of converted data based on a second NLP model. In accordance with an embodiment, the subset of converted data may be in conformance with a plurality of technology parameters specific to the technology.
[026] In accordance with an embodiment, the system 102 may be further configured to determine for the technology a value for each of the plurality of technology parameters, based on the subset of converted data. In accordance with an embodiment, the system 102 may be further configured to determine an impact factor of each of the plurality of technology parameters relative to each of the plurality of business parameters, based on the determined value of each of the plurality of technology parameters. The system 102 may be configured to compare the impact factor determined for each of the plurality of technology parameters with an impact threshold. The system 102 may be configured to identify a set of technology parameters from the plurality of technology parameters, based on the comparison with the impact thresholds. The system 102 may be configured to determine for the set of technology parameters, a transformation matrix of the technology applied to the business.
[027] FIG. 2 is a functional block diagram that illustrates an exemplary system for identifying impact of a technology on a business, in accordance with an embodiment. FIG. 2 is explained in conjunction with elements from FIG. 1. With reference to FIG. 2, there is shown a functional block diagram 200 of the system 102. The system 102 may include a processor 202, a memory 204, an input/output (I/O) device 206, a network interface 208, an application interface 210, and a database 212.
[028] The processor 202 of the system 102 may include one or more NLP models (such as, a first NLP model and a second NLP model), as part of, for example, a software application of the system 102. The processor 202 may be communicatively coupled to the memory 204, the I/O device 206, the network interface 208, the application interface 210, and the database 212. In one or more embodiments, the system 102 may also include a provision/functionality to capture the user query via one or more external devices, for example, the external device 106.
[029] Elements and features of the system 102 may be operatively associated with one another, coupled to one another, or otherwise configured to cooperate with one another as needed to support the desired functionality, as described herein. For ease of illustration and clarity, the various physical, electrical, and logical couplings and interconnections for the elements and the features are not depicted in FIG. 2. Moreover, it should be appreciated that embodiments of system 102 will include other elements, modules, and features that cooperate to support the desired functionality. For simplicity, FIG. 2 only depicts certain elements that relate to the techniques described in more detail below.
[030] The processor 202 may include suitable logic, circuitry, interfaces, and/or code that may be configured to perform regression analysis and a first Natural Language Processing (NLP) model on each of a plurality of sets of data, to extract a subset of data associated with each of a plurality of business parameters. In accordance with an embodiment, the plurality of sets of data may be extracted from at least one company document. In accordance with an embodiment, the processor 202 may be configured to convert the subset of data associated with each of the plurality of business parameters to a subset of converted data based on a second NLP model. In accordance with an embodiment, the subset of converted data may be in conformance with a plurality of technology parameters specific to the technology. In accordance with an embodiment, the processor 202 may be further configured to determine for the technology a value for each of the plurality of technology parameters, based on the subset of converted data. In accordance with an embodiment, the processor 202 may be further configured to determine an impact factor of each of the plurality of technology parameters relative to each of the plurality of business parameters, based on the determined value of each of the plurality of technology parameters. The processor 202 may be configured to compare the impact factor determined for each of the plurality of technology parameters with an impact threshold. The processor 202 may be configured to identify a set of technology parameters from the plurality of technology parameters, based on the comparison with the impact thresholds. The processor 202 may be configured to determine for the set of technology parameters, a transformation matrix of the technology applied to the business.
[031] The processor 202 may be implemented based on a number of processor technologies, which may be known to one ordinarily skilled in the art. Examples of implementations of the processor 202 may be a Graphics Processing Unit (GPU), a Reduced Instruction Set Computing (RISC) processor, an Application-Specific Integrated Circuit (ASIC) processor, a Complex Instruction Set Computing (CISC) processor, a microcontroller, Artificial Intelligence (AI) accelerator chips, a co-processor, a central processing unit (CPU), and/or a combination thereof. The processor 202 may be communicatively coupled to, and communicates with, the memory 204.
[032] The memory 204 may include suitable logic, circuitry, and/or interfaces that may be configured to store instructions executable by the processor 202. Additionally, the memory 204 may be configured to store program code of one or more machine learning models and/or the software application that may incorporate the program code of the one or more machine learning models. The memory 204 may be configured to store any received data or generated data associated with storing, maintaining, and executing the system 102. Examples of implementation of the memory 204 may include, but are not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Hard Disk Drive (HDD), a Solid-State Drive (SSD), a CPU cache, and/or a Secure Digital (SD) card.
[033] The I/O device 206 may include suitable logic, circuitry, and/or interfaces that may be configured to act as an I/O interface between a user (such as, the user 110) and the system 102. The I/O device 206 may include various input and output devices, which may be configured to communicate with different operational components of the system 102. The I/O device 206 may be configured to communicate data between the system 102 and one or more of the server 104 and the external device 106. Examples of the I/O device 206 may include, but are not limited to, a touch screen, a keyboard, a mouse, a joystick, a microphone, and a display screen.
[034] The network interface 208 may include suitable logic, circuitry, interfaces, and/or code that may be configured to facilitate different components of the system 102 to communicate with other devices, such as the server 104, and the external device 106 in the environment 100, via the communication network 108. The network interface 208 may be configured to implement known technologies to support wired or wireless communication. Components of the network interface 208 may include, but are not limited to an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a coder-decoder (CODEC) chipset, an identity module, and/or a local buffer.
[035] The network interface 208 may be configured to communicate via offline and online wireless communication with networks, such as the Internet, an Intranet, and/or a wireless network, such as a cellular telephone network, a wireless local area network (WLAN), personal area network, and/or a metropolitan area network (MAN). The wireless communication may use any of a plurality of communication standards, protocols and technologies, such as Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), wideband code division multiple access (W-CDMA), code division multiple access (CDMA), LTE, time division multiple access (TDMA), Bluetooth, Wireless Fidelity (Wi-Fi) (such as IEEE 802.11, IEEE 802.11b, IEEE 802.11g, IEEE 802.11n, and/or any other IEEE 802.11 protocol), voice over Internet Protocol (VoIP), Wi-MAX, Internet-of-Things (IoT) technology, Machine-Type-Communication (MTC) technology, a protocol for email, instant messaging, and/or Short Message Service (SMS).
[036] The application interface 210 may be configured as a medium for a user (such as the user 110) to interact with the system 102. The application interface 210 may be configured to have a dynamic interface that may change in accordance with preferences set by the user (such as the user 110) and configuration of the system 102. In some embodiments, the application interface 210 may correspond to a user interface of one or more applications installed on the system 102.
[037] The database 212 may include suitable logic, circuitry, and/or interfaces that may be configured to store program instructions executable by the processor 202, operating systems, and/or application-specific information, such as logs and application-specific databases, and a large pool of company data. The database 212 may include a computer-readable storage media for carrying or having computer-executable instructions or data structures stored thereon. Such computer-readable storage media may include any available media that may be accessed by a general-purpose or special-purpose computer, such as the processor 202.
[038] By way of example, and not limitation, the database 212 may use computer-readable storage media that includes tangible or non-transitory computer-readable storage media including, but not limited to, Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage or other magnetic storage devices (e.g., Hard-Disk Drive (HDD)), flash memory devices (e.g., Solid State Drive (SSD), Secure Digital (SD) card, other solid state memory devices), or any other storage medium which may be used to carry or store particular program code in the form of computer-executable instructions or data structures and which may be accessed by a general-purpose or special-purpose computer. Combinations of the above may also be included within the scope of computer-readable storage media.
[039] FIG. 3A is a functional block diagram 300A that illustrate process flow automation in a framework of a system for identifying impact of a technology on a business, in accordance with an embodiment. FIG. 3A is explained in conjunction with elements from FIG. 1 and FIG. 2. With reference to FIG. 3A, there is shown an automated data generation script 302, a translation layer 304, an analytics layer 306, an intelligent agent 308, a construct layer 310, and a display 312.
[040] For the automated data generation script 302, automated scripts work on proprietary algorithm to read through company information, such as, without limitation, vision for next five years, current business, current market position, company annals, current method of operation and many other miscellaneous information. The processor 202 may be configured to generate the automated data scripts.
[041] At the translation layer 304, large data may be used for analysis. The processor 202 may be configured to gather and harness data by using scripts, segregate the same and create a repository. The repository may act as a large pool of company data and inputs for the critical business analysis. The large pool of company data may be stored in the database 212 of the system 102.
[042] At analytics layer 306, the processor 202 may be configured to work on large data and create a statistical twin. The analytics layer 306 may correspond to an algorithm that works on the large data and creates a statistical twin. The analytics layer 306 may understand, learn and identify the critical data from the irrelevant information and bucket them to fit the model for simplification of the task for further analysis.
[043] At construct layer 310, a mathematical modeling of a business may be performed by the processor 202, based on information received through earlier core blocks. From the various multitudes of parameters of business-in-question, like, Information technology (IT) deployment, Operational Technology (OT) deployment, infrastructure used, people, nature of business, business annals, vision, mission, expenses, and new business ideas and parameter of technology-in-question (line 5G) for ease, speed, latency, capacity, security, infrastructure reduction, and automation, the construct layer 310 may identify key parameters suited to drive transformation of business on 5G. The construct layer 310 may provide business analysis, such as, gains, advantages and significance based on the parallel business analysis done via the intelligent agent 308. The construct layer 310 may be used to identify the impact of transformation on existing business and also provide the viability of the same. The construct layer 310 may also be used to run the simulation of new business that can be created based on the data provided by the intelligent agent 308.
[044] The intelligent agent 308 may correspond to an algorithm that works on the analytics layer 306 and may build twin model for financial gains and operational convenience of business. The intelligent agent 308 may correspond to the key layer which works on the insights of any business and looks through other parallel verticals built during the time of feeding data (initially) and post that through deep machine learning.
[045] The intelligent agent 308 may move forward and automate the tasks of applying simplification algorithms that helps identifying the key business parameters undergoing transformation. The intelligent agent 308 may identify the impact of a technology in question. The intelligent agent 308 may provide all the information to the construct layer 310 for further analysis. The construct layer 310 may in turn also compare parallel business verticals that resembles the current in question (parallel verticals are created at the intelligent agent 308 level), provides the financial, qualitative, and quantitative impact.
[046] The display 312 may include a final output representation of full analysis, that is, financial, qualitative, and quantitative analysis. The display 312 further outlines the new business verticals that could be achieved through digital Transformation as well as potential new monetary business value. The display 312 may further provide the prediction of loss in case the technology is not adopted. The display 312 may further provide the impact of new transformation and steps that the business should undergo to achieve the full potential of transformation.
[047] With reference to FIG. 3B, there is shown a block diagram 300B of automated data generation script used in a framework of a system for identifying impact of a technology on a business, in accordance with an embodiment. FIG. 3B is explained in conjunction with elements from FIG. 1 to FIG. 3A. With reference to FIG. 3B, there is shown data from various sources 314 (such as, company annals, publications, mission, vision, and news), script scanning 316, and collection of data (such as, Big Data and Large Data) 318.
[048] In accordance with an embodiment, automated script may read data from a website. By way of an example, web-scraping is a way to automate collecting of data from the website to couple with excel Open Database Connectivity (ODBC) that may convert data, images, and tables into Excel data sheet. In accordance with an embodiment, data post customer discussion and sales record may also be used for automated script generation. Such data may be included in ppt, pdf, image or excel format and recorded conversation. In accordance with an embodiment, scripts may be used to convert the same into excel format.
[049] Post the accumulation of entire data in Excel, key words check, like, “Balance sheets”, “Finance”, Vision, “new Tech”, and “Manufacturing 4.0” may be executed by the processor 202. The processor 202 may be configured to segregate the data from useless information post which regression analysis and NLP may be executed to consolidate the enormous data into finally usable data with no redundancy. The AI algorithm may learn over a period to reduce the time needed to consolidate the data and understand useful sources right from the start. Post the same, the source of information (such as, news site, customer interactions, customer website, marketing events, and random sources) may be checked. Credible information may be retained, and non-credible information source may be discarded. This brings the collection of data 318 with respect to sector, business, or use-cases.
[050] With reference to FIG. 3C, there is shown a diagram 300C that illustrates translation layer used in a framework of the system for identifying impact of a technology on a business, in accordance with an embodiment. FIG. 3C is explained in conjunction with elements from FIG. 1 to FIG. 3B. With reference to FIG. 3C, there is shown bigdata/large data 320 getting transformed to cognizable big data 322.
[051] In accordance with an embodiment, post the collection of data into excel dumps, another analytics may be run by the processor 202 on top that converts the data (such as, English data). By way of an example, data gathered from a company A website is “Company A mobile has very high-resolution camera and are launching campaign to award amateur photographers who make best movies.” The algorithm used by the processor 202 may be configured to interpret using NLP and key word-picks to translate the same sentence to “Company A has hand-held device with high resolution, high frame rate cameras and will need high BW connection and low latency to stream data out of their device to share with others”. In another example, NLP helps to understand and translate the statement to 5G language. Analytics helps to interpret or quantify BW needed and Latency required. In accordance with an embodiment, AI learns and builds how to bucket different information to technical parameters.
[052] With reference to FIG. 3D, there is shown a diagram 300D that illustrates analytics layer used in a framework of the system for identifying impact of a technology on a business, in accordance with an embodiment. FIG. 3D is explained in conjunction with elements from FIG. 1 to FIG. 3C. With reference to FIG. 3D, there is shown a statistical digital twin 326 of 324 for simplification of data 328.
[053] In accordance with an embodiment, Information from one script, say script 2 may be fed to another script, say script 3. Both the scripts (script 2 and script 3) may be used to understand 5G language and predict binary representation of statistical frequency of occurrences 2d on Bell-curve. By way of an example, the script 2 output has “Company A has hand-held device with high resolution, high frame rate cameras and will need high BW connection and low latency to stream data out of their device to share with others” and converts to technical parameters of 5G network into binary 0,1 (yes/no) output. The script 3 output is illustrated in tabular representation 300E of FIG. 3E. The script 3 output illustrated in tabular representation 300E shows the statistical digital twin of all the 5G translation that prior script has worked on.
[054] With reference to FIG. 3F, there is shown a diagram 300F that illustrates intelligent agent used in a framework of the system for identifying impact of a technology on a business, in accordance with an embodiment. FIG. 3F is explained in conjunction with elements from FIG. 1 to FIG. 3E. With reference to FIG. 3F, there is shown big data/large data 330, script scanning 332, technology parameters 334, and business parameters 336.
[055] The script scanning 332 may be performed by the intelligent agent on data available across various sources and systems, such as, the big data/large data 330. The intelligent agent may identify key parameters, that is, technology parameters 334 and the business parameters 336 that are suited to drive transformation of business on technology, such as, 5G. The intelligent agent provides all the information to the Construct layer for further analysis.
[056] FIGS. 3G-3H, respectively, illustrate construct layer 300G and a display 300H of the framework of system for identifying impact of a technology on a business, in accordance with an embodiment. FIGS. 3G-3H are explained in conjunction with elements from FIG. 1 to FIG. 3F. With reference to FIG. 3G, there is shown a construct layer 300G.
[057] In accordance with an embodiment, script 4 practically works on digital twin and mathematical construct (also referred as the construct layer) that comprises of big data analysis across various business sectors. The mathematical construct may understand which parallel business segment needs to be used for any new analysis based on data obtained from Digital Twin process. For example, every 5G technology parameter is converted to a mathematical construct and impact of each of these parameters to various aspects of Business are analyzed. Weighted average of each of these parameters may be obtained. In addition, impact of 5G on existing business to galvanize new business vertical with existing products or 5G enablement of existing products may also be calculated. Post the whole consideration, the display (or final display file) 300H as shown in FIG. 3H which includes full impact analysis, notes for further deliberation and areas of new business development are displayed. A sample construct is illustrated in FIG. 3H with parameters, priority, impact factor without revenue from new, and new business revenue. The values under the “impact factor without revenue from new” gives insight into impact of technology on business transformation. Further, the values under “new business revenue” gives insight into new business scenarios and typical monetary value gains due to transformation.
[058] FIG. 4 is a flowchart that illustrates an exemplary method for identifying impact of a technology on a business, in accordance with an embodiment. With reference to FIG. 4, there is shown a flowchart 400. The operations of the exemplary method may be executed by any computing system, for example, by the system 102 of FIG. 1. The operations of the flowchart 400 may start at 402 and proceed to 404.
[059] At 402, regression analysis and a first Natural Language Processing (NLP) model may be performed on each of a plurality of sets of data. In accordance with an embodiment, the processor 202 may be configured to perform regression analysis and a first Natural Language Processing (NLP) model on each of a plurality of sets of data, to extract a subset of data associated with each of a plurality of business parameters. In accordance with an embodiment, the plurality of business parameters includes at least one of Information Technology (IT) deployment, Operational Technology (OT) deployment, infrastructure used, balance sheets, finance, vision, new technology, nature of business, expenses, new business ideas, business annals, or Manufacturing.
[060] In accordance with an embodiment, the plurality of sets of data may be extracted by the I/O devices 206 of the system 102 from at least one company document. In accordance with an embodiment, the I/O devices 206 of the system 102 may be configured to extract the plurality of sets of data from at least one company document. In accordance with an embodiment, I/O devices 206 of the system 102 may be configured to retrieve the at least one company document from a plurality of data sources. In accordance with an embodiment, the processor 202 may be configured to identify at least one data source from the plurality of data sources. In accordance with an embodiment, relevancy of data extracted from the at least one data source may be above a predefined threshold.
[061] At 404, the subset of data associated with each of the plurality of business parameters may be converted to a subset of converted data based on a second NLP model. In accordance with an embodiment, the processor 202 may be configured to convert the subset of data associated with each of the plurality of business parameters to a subset of converted data based on the second NLP model. The subset of converted data may be in conformance with a plurality of technology parameters specific to the technology. In accordance with an embodiment, the plurality of technology parameters may include at least one of capacity, speed, density, latency, security, quality of service, mobility, infrastructure reduction, automation, or ease of deployment.
[062] At 406, a value for each of the plurality of technology parameters may be determined for the technology. In accordance with an embodiment, the processor 202 may be configured to determine for the technology a value for each of the plurality of technology parameters, based on the subset of converted data. In accordance with an embodiment, the processor 202 may be configured to bucket the subset of converted data based on the at least one technology parameter.
[063] At 408, an impact factor may be determined of each of the plurality of technology parameters relative to each of the plurality of business parameters. In accordance with an embodiment, the processor 202 may be configured to determine the impact factor of each of the plurality of technology parameters relative to each of the plurality of business parameters, based on the determined value of each of the plurality of technology parameters.
[064] At 410, the impact factor determined for each of the plurality of technology parameters may be compared with an impact threshold. In accordance with an embodiment, the processor 202 may be configured to compare the impact factor determined for each of the plurality of technology parameters with an impact threshold.
[065] At 412, a set of technology parameters may be identified from the plurality of technology parameters. In accordance with an embodiment, the processor 202 may be configured to identify a set of technology parameters from the plurality of technology parameters, based on the comparison with the impact thresholds.
[066] At 414, a transformation matrix of the technology may be determined determining for the set of technology parameters. In accordance with an embodiment, the processor 202 may be configured to determining for the set of technology parameters a transformation matrix of the technology applied to the business.
[067] In accordance with an embodiment, determining the transformation matrix of the technology applied to the business may include identifying, by the processor 202, at least one new business vertical that could be achieved through adoption of the technology in the business, determining , by the processor 202, new business value generated via the at least one new business vertical, and determining, by the processor 202, a loss value incurred in response to non-adoption of the technology. In accordance with an embodiment, the processor 202 may be configured to generate a report that includes the transformation matrix and an executive summary associated with the transformation matrix.
[068] Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present disclosure. A computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein. The term “computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include random access memory (RAM), read-only memory (ROM), volatile memory, nonvolatile memory, hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media.
[069] The system and method provide some advantages, like the disclosed system and the method may correspond to an ingenious automation process and constructs to understand impact on businesses for using a technology (such as, 5G), sectors, risk-gain benefit, and areas of immediate advantage. Exemplary aspects of the disclosure provide a method and system that automates the collation of business-critical data, analyze co-relation with any technology, estimate impact of technology transformation and assign financial assessment of the same. The disclosed system may simplify businesses understanding. The disclosed system may point out further areas where technology transformation can help gain newer markets and thereby increase the financial gains of the company.
[070] It will be appreciated that, for clarity purposes, the above description has described embodiments with reference to different functional units and processors. However, it will be apparent that any suitable distribution of functionality between different functional units, processors or domains may be used without detracting from the disclosure. For example, functionality illustrated to be performed by separate processors or controllers may be performed by the same processor or controller. Hence, references to specific functional units are only to be seen as references to suitable means for providing the described functionality, rather than indicative of a strict logical or physical structure or organization.
[071] Although the present disclosure has been described in connection with some embodiments, it is not intended to be limited to the specific form set forth herein. Rather, the scope of the present disclosure is limited only by the claims. Additionally, although a feature may appear to be described in connection with particular embodiments, one skilled in the art would recognize that various features of the described embodiments may be combined in accordance with the disclosure.
[072] Furthermore, although individually listed, a plurality of means, elements or process steps may be implemented by, for example, a single unit or processor. Additionally, although individual features may be included in different claims, these may possibly be advantageously combined, and the inclusion in different claims does not imply that a combination of features is not feasible and/or advantageous. Also, the inclusion of a feature in one category of claims does not imply a limitation to this category, but rather the feature may be equally applicable to other claim categories, as appropriate.