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Everyone is talking about ChatGPT. And many are using it too. This new, AI powered tool was launched by OpenAI and it has created a stir across industries and people from all walks of life. The tool can provide well-articulated responses to queries, write codes, and deliver results to most queries, even those related to a process flow, data model or a code!
However, in its current form, it does have limitations. There have been reports of factual inaccuracies, fictitious invention of names and books and failure to solve complex problems. But this is just the beginning of an era of disruption, and everyone associated with Data and Analytics needs to be on their toes.
What is ChatGPT capable of delivering?
The tool can not only potentially automate various Data & Analytics led processes like Data Governance, Data Quality, Analytics based predictions, creation of Data Models and processes, data structures and queries on data sources to delivering code based on SQL queries and auto completing data tables with contextual data.
Imagine! A lot of tasks in Data & Analytics, which were dependent on niche people related skills, can be easily delivered by an NLP based tool, which thrives on ML and deep learning!
And, it is certainly a powerful tool, even in its nascent form, which will change the arena of data management and analytics. And SMEs working in this space need to put on their thinking caps and come up with out of the box solutions. For ChatGPT will force software solution providers, system integrators and consulting firms to reinvent their skills and offerings.
How ChatGPT will potentially disrupt the Data and Analytics space
1) Impact on various roles and responsibilities in Data & Analytics
Roles will change or will disappear. People who were associated with manual, repetitive work will be hit, as large parts of their work will be automated and taken over by AI powered tools.
2) Impact on Business users
3) Impact on Consulting and Advisory Firms in Data and Analytics
ChatGPT will spread its magic across Consulting and Advisory Service organisations too. While it may automate research and development and presentation content creation, it will also impact the capabilities and service offerings.
Areas like Data Governance, Data Quality, Metadata Management will witness unprecedented automation, with zero human touch points. With automation of Process maps and Data Models, to maybe recommendations for a Data Governance Organisation structure, with Data ownerships too? Quite possible.
New-age solutions like Process Mining and Business Observability will acquire a whole new level of capability, automation, and maturity, forcing vendors to upgrade and enhance solutions with quick agility.
ChatGPT can source, collect, analyze data, and come up with insights and recommendations.
Hence, traditional service offerings like analytics are under threat. According to BCG, strategy consultancy projects with static outcomes will rapidly diminish, which will give rise to scientifically backed AI-driven strategies enhanced by data. The Googles and Amazons could well become the new-age consultancy companies!
Data Literacy initiatives will also be impacted as users will be required to learn how to cope and manage new technology and its output for their business decisions and outcome.
It in future avatar, capabilities around visualizations and graphics need to be built and be in high demand.
Data privacy will be high on the priority list as the data fed to this NLP based tool will need to be tightly governed and operated within well-defined boundaries.
Security and Access Control will turn into a major focus / concern area
How can Consulting and Advisory Companies take on this innovation – our point of view
Disruption demands disruption. Consulting and Advisory firms in the Data and Analytics space will need to completely transform. Right from their skill sets to their offerings and business models. While some of the changes have been highlighted in point 3 above, here are a few more ways that such organisations can re-invent themselves and their offerings.
Final Words
ChatGPT has brought about a new paradigm, which necessitates a marriage between technology and human capabilities and skills. People, Process, Technology and Data will be completely overhauled, and AI powered tools will take centre stage. However, the world needs to forge ahead with caution. While businesses will re-invent, so will the threats. Especially with regards to data. And these need to be managed, along with other challenges that will abound.
An ongoing challenge will appear in the form of systemic biases. Considering the tool survives on humongous amounts of data, biases could easily creep in.
Errors too need to be caught and dealt with. The data that the tool has been fed may not be top notch quality. And as the tool will generate new data, the issues will compound. ChatGPT has hallucinated in the past and may continue to do so in the future. So, treading ahead with extreme caution is a must.
Intellectual property will assume a new meaning and definition. If a model creates analytical models or recommends a new product design based on user fed data, who will the IPR rest with? How can plagiarism be controlled when the tool is trained on data, and it generates new data? All these issues will crop up and create challenges not faced before.
While new technology brings in innovation, it comes at a price. Hence, one needs to look ahead with caution and be prepared for a new set of issues that will disrupt life and business. So, get ready and get set, and enter the new world.
This article has been co-authored by Shirish Kulkarni
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Ben Parker CEO at eflow uk ltd
23 December
Kuldeep Shrimali Consulting Partner at Tata Consultancy Services
Jitender Balhara Manager at TCS
22 December
Sanjeev Nargotra Senior Consultant at Tata Consultancy Services
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