The Future of IT: Harnessing the Power of Artificial Intelligence

Venkata Ravi Kiran Kolla

Abstract


Artificial intelligence (AI) is transforming the way we do business in the information technology (IT) industry. With the ability to automate mundane tasks, make predictions, and analyze data at scale, AI is enhancing the efficiency and productivity of IT operations. In this study, we explore the current applications of AI in IT, including machine learning, natural language processing, and intelligent automation. We also examine the potential of AI to revolutionize IT, from improving customer experience to creating new business models. However, the adoption of AI in IT is not without its challenges, including the need for specialized skills, the risk of bias and error, and ethical considerations. The study offers insights into how organizations can navigate these challenges and leverage the power of AI to drive innovation and growth in the IT industry. Overall, this study highlights the importance of understanding and harnessing the power of AI to stay competitive in the rapidly evolving landscape of IT.

References


kolla, V. (2009). LANE DETECTION SYSTEM USING APPLICATION OF MACHINE LEARNING. Transactions on Latest Trends in Health Sector, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/270

kolla, V. (2022). Gender Detection using OpenCV an application of Machine Learning. Transactions on Latest Trends in Health Sector, 14(14). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/268

Meenigea, N. (2022). Evaluation of antioxidant potential and antimicrobial activity. Transactions on Latest Trends in Health Sector, 14(14). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/269

kolla, V. (2019). Social Distancing detection using machine learning. International Journal of Sustainable Development in Computing Science, 1(1), 21-30. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/271

Meenigea, N. (2019). EMOJIFY-CREATE YOUR OWN EMOJIS WITH DEEP LEARNING. International Journal of Sustainable Development in Computing Science, 1(1), 31-39. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/272

kolla, V. (2022). NEXT WORD PREDICTION USING LSTM. International Journal of Machine Learning for Sustainable Development, 4(4), 61-63. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/275

Meenigea, N. (2019). A systematic review OF splitting a tablet obtain an accurate dose. International Journal of Machine Learning for Sustainable Development, 1(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/273

Meenigea, N. (2022). In hospital deprescribing in the real world. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/276

kolla, V. (2020). Attendance Management System USING MACHINE LEARNING. Transactions on Latest Trends in Artificial Intelligence, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/277

Meenigea, N. (2018). Building a pharmacy workforce from the ground up to support the COVID-19 vaccine rollout. Transactions on Latest Trends in IoT, 1(1), 61-67. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/278

kolla, V. (2018). Movie Recommendation System Using Machine Learning. Transactions on Latest Trends in IoT, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/279

Meenigea, N. (2018). Knowledge and perceptions of outpatients regarding upper respiratory tract. International Journal of Managment Education for Sustainable Development, 1(1), 50-55. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/280

kolla, V. (2018). Diabetes prediction using machine learning.. International Journal of Managment Education for Sustainable Development, 1(1), 56-60. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/281

kolla, V. ravi kiran. (2012). Heart Disease Prediction using Python Machine Learning. International Journal of Statistical Computation and Simulation, 4(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/149

Meenigea , N. (2014). Type 2 Diabetes mellitus treatment intensification and deintensification. Transaction on Recent Devlopment in Industrial IoT, 6(6). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/153

kolla, V. ravi kiran. (2011). WEATHER PREDICTION USING MACHINE LEARNING. Transaction on Recent Devlopment in Industrial IoT, 3(3). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/152

Meenigea , N. (2018). A Comparative Analysis of OS Forensics Tools in Health Sector. Transaction on Recent Devlopment in Industrial IoT, 10(10). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/156

kolla, V. ravi kiran. (2020). Machine Learning for Credit Card Fraud Detection System. International Journal of Sustainable Devlopment in Computer Science Engineering, 6(6). Retrieved from https://journals.threws.com/index.php/IJSDCSE/article/view/157

Meenigea , N. (2017). Infusion reaction incidence after switching all patients. International Journal of Sustainable Devlopment in Computer Science Engineering, 3(3). Retrieved from https://journals.threws.com/index.php/IJSDCSE/article/view/159

Meenigea , N. (2021). Safety of metaraminol in critically ill patients with shock. International Journal of Sustainable Devlopment in Computer Science Engineering, 7(7). Retrieved from https://journals.threws.com/index.php/IJSDCSE/article/view/160

kolla, V. ravi kiran. (2010). Fake News Detection using Machine Learning. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 2(2). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/161

Meenigea , N. (2015). Assessing the acceptance of augmented-reality. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 7(7). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/164

Meenigea , N. (2017). Developing a mobile device-based medicines management application for people who are blind and visually impaired. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9(9). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/165

kolla, V. ravi kiran. (2017). Speak4Diet: A Mobile App for Monitoring Dietary Composition. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9(9). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/163

Meenigea , N. (2020). Exploring career advancement of pharmacy. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 12(12). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/166

Meenigea , N. (2021). Virtual Objective Structured Clinical Examinations. International Scientific Journal for Research, 3(3). Retrieved from https://isjr.co.in/index.php/ISJR/article/view/111

Meenigea , N. (2020). Experiential-based foundational pharmacy residency programs: a narrative review. International Scientific Journal for Research, 2(2). Retrieved from https://isjr.co.in/index.php/ISJR/article/view/112

Meenigea , N., & kolla, V. ravi kiran. (2017). DETERMINING TELECOM COMPANY CHURN PREDICTION USING MACHINE LEARNING. International Transactions in Artificial Intelligence, 1(1). Retrieved from https://isjr.co.in/index.php/ITAI/article/view/114

Meenigea , N., & kolla, V. ravi kiran. (2019). Classification of Fruits / Vegetables using TensorFlow. International Transactions in Artificial Intelligence, 3(3). Retrieved from https://isjr.co.in/index.php/ITAI/article/view/118

Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150

kolla, V. ravi kiran, & Meenigea , N. (2015). A Research paper on Automatic language translator of. International Journal of Sustainable Devlopment in Computer Science Engineering, 1(1). Retrieved from https://journals.threws.com/index.php/IJSDCSE/article/view/158

kolla, V. ravi kiran, & Meenigea , N. (2016). Shape Detection using Application of Machine Learning. Transaction on Recent Devlopment in Industrial IoT, 8(8). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/155

Arun Velu, P. W. (2021a). Impact of Covid Vaccination on the Globe using data analytics. International Journal of Sustainable Development in Computing Science, 3(2).

Bhatia, V., & Bhatia, G. (2013a). Room temperature based fan speed control system using pulse width modulation technique. International Journal of Computer Applications, 81(5).

Bhatia, V., & Whig, P. (2013b). A secured dual tune multi frequency based smart elevator control system. International Journal of Research in Engineering and Advanced Technology, 4(1), 1163–2319.

Chopra, G., & WHIG, P. (2022a). A clustering approach based on support vectors. International Journal of Machine Learning for Sustainable Development, 4(1), 21–30.

Chopra, G., & Whig, P. (2022a). Energy Efficient Scheduling for Internet of Vehicles. International Journal of Sustainable Development in Computing Science, 4(1).

Chopra, G., & WHIG, P. (2022b). Using machine learning algorithms classified depressed patients and normal people. International Journal of Machine Learning for Sustainable Development, 4(1), 31–40.

Jupalle, H., Kouser, S., Bhatia, A. B., Alam, N., Nadikattu, R. R., & Whig, P. (2022). Automation of human behaviors and its prediction using machine learning. Microsystem Technologies, 1–9.

Khera, Y., Whig, P., & Velu, A. (2021c). efficient effective and secured electronic billing system using AI. Vivekananda Journal of Research, 10, 53–60.

Lahade, S. v, & Hirekhan, S. R. (2015a). Intelligent and adaptive traffic light controller (IA-TLC) using FPGA. 2015 International Conference on Industrial Instrumentation and Control (ICIC), 618–623.

Mamza, E. S. (2021). Use of AIOT in Health System. International Journal of Sustainable Development in Computing Science, 3(4), 21–30.

Nadikattu, R. R. (2014a). Content analysis of American & Indian Comics on Instagram using Machine learning. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320–2882.

Nadikattu, R. R., Mohammad, S. M., & Whig, P. (2020a). Novel economical social distancing smart device for covid-19. International Journal of Electrical Engineering and Technology (IJEET).

Rupani, A., Whig, P., Sujediya, G., & Vyas, P. (2017a). A robust technique for image processing based on interfacing of Raspberry-Pi and FPGA using IoT. 2017 International Conference on Computer, Communications and Electronics (Comptelix), 350–353.

Rupani, A., Whig, P., Sujediya, G., & Vyas, P. (2017b). A robust technique for image processing based on interfacing of Raspberry-Pi and FPGA using IoT. 2017 International Conference on Computer, Communications and Electronics (Comptelix), 350–353.

Sharma, A., Kumar, A., & Whig, P. (2015b). On the performance of CDTA based novel analog inverse low pass filter using 0.35 µm CMOS parameter. International Journal of Science, Technology & Management, 4(1), 594–601.

Tomar, U., Chakroborty, N., Sharma, H., & Whig, P. (2021). AI based Smart Agricuture System. Transactions on Latest Trends in Artificial Intelligence, 2(2).

Velu, A., & Whig, P. (2021a). Protect Personal Privacy And Wasting Time Using Nlp: A Comparative Approach Using Ai. Vivekananda Journal of Research, 10, 42–52.

Whig, P. (2019a). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1–10.

Whig, P. (2019d). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11–20.

WHIG, P. (2022). More on Convolution Neural Network CNN. International Journal of Sustainable Development in Computing Science, 4(1).

Whig, P., & Ahmad, S. N. (2011a). On the performance of ISFET-based device for water quality monitoring. Int’l J. of Communications, Network and System Sciences, 4(11), 709.

Whig, P., & Ahmad, S. N. (2012a). A CMOS integrated CC-ISFET device for water quality monitoring. International Journal of Computer Science Issues, 9(4), 1694–1814.

Whig, P., & Ahmad, S. N. (2012f). Performance analysis of various readout circuits for monitoring quality of water using analog integrated circuits. International Journal of Intelligent Systems and Applications, 4(11), 103.

Whig, P., & Ahmad, S. N. (2013a). A novel pseudo-PMOS integrated ISFET device for water quality monitoring. Active and Passive Electronic Components, 2013.

Whig, P., & Ahmad, S. N. (2014a). Development of economical ASIC for PCS for water quality monitoring. Journal of Circuits, Systems and Computers, 23(06), 1450079.

Whig, P., & Ahmad, S. N. (2014c). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.

Whig, P., & Ahmad, S. N. (2014d). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.

Whig, P., Kouser, S., Velu, A., & Nadikattu, R. R. (2022). Fog-IoT-Assisted-Based Smart Agriculture Application. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 74–93). IGI Global.

Whig, P., Nadikattu, R. R., & Velu, A. (2022). COVID-19 pandemic analysis using application of AI. Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 1.

Whig, P., Velu, A., & Bhatia, A. B. (2022). Protect Nature and Reduce the Carbon Footprint With an Application of Blockchain for IIoT. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 123–142). IGI Global.

Whig, P., Velu, A., & Naddikatu, R. R. (2022). The Economic Impact of AI-Enabled Blockchain in 6G-Based Industry. In AI and Blockchain Technology in 6G Wireless Network (pp. 205–224). Springer, Singapore.

Whig, P., Velu, A., & Nadikattu, R. R. (2022). Blockchain Platform to Resolve Security Issues in IoT and Smart Networks. In AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems (pp. 46–65). IGI Global.

Whig, P., Velu, A., & Ready, R. (2022). Demystifying Federated Learning in Artificial Intelligence With Human-Computer Interaction. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 94–122). IGI Global.

Whig, P., Velu, A., & Sharma, P. (2022). Demystifying Federated Learning for Blockchain: A Case Study. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 143–165). IGI Global.


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