DISRUPTIVE TECH
Key takeaways
Karl Crowther , VP MEA at Alteryx in generative AI results . The year 2024 is anticipated to see the development of robust governance frameworks that facilitate responsible and effective implementation of generative AI across enterprises .
These frameworks are vital for managing risks associated with AI applications , including their embedded large language models , the end users of those applications , and the exchanges between the first two .
ESG accountability
In 2024 , CFOs will be held accountable for driving conversations across the enterprise to ensure ESG becomes a corporate-level initiative . While ESG reporting remains murky , companies need to focus on operating more authentically , ethically , and confidently across the business , not just the office of finance .
To further support this meaningful change , data analytics will be at the forefront of helping align their sustainability commitments with credible corporate finance strategies .
Employee interfaces
The rise of multi-modal interfaces will empower every user in the analytics value chain to engage with data intuitively and successfully based on their role . All this while increasing collaboration across the decisionmaking process , marking a significant trend in enterprise collaboration and flexibility .
Cloud and AI
The AI wave will create new data interaction paradigms , especially in the cloud . As more data becomes
• The top two reasons for not implementing generative AI came down to data privacy concerns and lack of trust in results .
• 2024 is anticipated to see development of robust governance frameworks that facilitate responsible and effective implementation of generative AI .
• With AI and automation simplifying many tasks , more companies are expected to bring outsourced work back home .
• McKinsey believes the demand for physical and manual tasks will decrease significantly by 2030 in favour of technological and cognitive skills .
• CFOs will be accountable for driving conversations across the enterprise to ensure ESG becomes a corporate-level initiative .
• Multi-modal interfaces will empower every user to engage with data intuitively based on their role .
• There will also be a rise in new graduates skilled in data handling , reflecting growing emphasis on data literacy in education .
• As organisations unlock the potential of generative AI , market share capture from direct competitors and expansion into adjacent markets will become the norm .
• Systems will require more computing power to process data , making a cloud-smart approach more attractive than all-in on the cloud .
• From text , images , audio , video , social media , as much as 90 % of all data in the world is unstructured .
available and new AI use cases arise , systems will require more computing power to process this data , making a cloud-smart , hybrid approach more attractive than going all-in on the cloud .
Datafication
From text , images , audio , video , social media , and more – as much as 90 % of all data in the world is unstructured . Generative AI has already shown us its potential to make sense of all this untapped data , and vendors will continue to unlock the capabilities of large language models and introduce different tools to help users analyse data in all aspects of life that might otherwise not fit neatly into a spreadsheet . p
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