How Generative AI is disrupting data practice
The release of Language Learning Model (LLM) ChatGPT by OpenAI in November of last year opened the floodgates leading to alternatives including Google Bard and Microsoft Bing and Gen AI has proved massively disruptive, with businesses seeking to explore how they can apply the technology.
Generative AI refers to technologies that can create content, such as text or images, based on input data. The launch of OpenAI's ChatGPT in November last year marked a significant shift, leading to the emergence of alternatives like Google Bard and Microsoft Bing. Businesses are now exploring how to apply this technology to transform their operations, particularly in areas like customer service, marketing, and product development.
How does Generative AI affect data practices?
Generative AI is transforming data practices by enabling advanced automation through tools like deep learning and natural language processing. This shift allows organizations to rethink how they collect, process, and derive insights from data. For instance, companies like Cereal Partners Worldwide are using augmented analytics to democratize data access, enhancing decision-making across the organization.
What are the implications of Generative AI for the workforce?
As Generative AI becomes integrated into business processes, organizations will need to upskill employees to work alongside AI systems. This transition is expected to free up 60-70% of employee time, potentially leading to productivity gains of up to 3.3% by 2040. However, companies must also establish ethical guidelines and safeguards to address concerns like bias and data privacy.

How Generative AI is disrupting data practice
published by Divergent IT
Divergent IT is a tech service operational consulting & strategy firm. Divergent IT partners with CIOs, business owners, and Non-Profits to develop strategy and implementation across their business including: cybersecurity, remote maintenance management (RMM), IT strategy, on-site maintenance and more.