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PodChats for FutureCIO: The Generated future

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Innehåll tillhandahållet av CXOCIETY | FutureCIO FutureCFO FutureIoT. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av CXOCIETY | FutureCIO FutureCFO FutureIoT eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

In 2023, the desire to benefit from tech-driven innovation got a boost in the arm, thanks to the perceived potential of emerging AI technologies. Arguably one of the most talked about tech in 2023 was artificial intelligence, specifically Generative AI.

Forrester predicts that enterprise AI initiatives will boost productivity and creative problem-solving by 50% in 2024, and the benefits promised cut across all functions in the organisation, including operations, marketing and sales, customer service, finance and of course IT.

But exactly how these functions will benefit from Gen AI will likely depend on how well the technology is understood, what types of use cases are adopted, and how well employees embrace the enterprise applications that will eventually be deployed.

What is clear is that the Gen AI honeymoon is fast nearing its end as C-suite leaders get a better handle on the risks that come with unbridled use of the technology.

In this PodChats for FutureCIO, Leslie Joseph, a principal analyst at Forrester, answers some of the most perplexing questions that GenAI brings to the table.

1. What do most organisations in Asia, and its leaders, understand when it comes to generative AI?

a. How would you compare how leadership and the rest of the company feel about GenAI?

2. Some contend that GenAI has the potential to democratise data analytics? Can you elaborate on this?

3. GenAI is still relevant young. How do you see hardware, software and solutions evolving as AI and ML techniques mature?

a. Is the infrastructure of today ready to support the evolving AI technologies?

4. What measures/safeguards are needed to ensure responsible use of GenAI? (Level 100?)

5. Do you see GenAI leading to IT team burnout?

6. What is the future of GenAI? How do you see it driving the future?

  continue reading

408 episoder

Artwork
iconDela
 
Manage episode 400734822 series 2912947
Innehåll tillhandahållet av CXOCIETY | FutureCIO FutureCFO FutureIoT. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av CXOCIETY | FutureCIO FutureCFO FutureIoT eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

In 2023, the desire to benefit from tech-driven innovation got a boost in the arm, thanks to the perceived potential of emerging AI technologies. Arguably one of the most talked about tech in 2023 was artificial intelligence, specifically Generative AI.

Forrester predicts that enterprise AI initiatives will boost productivity and creative problem-solving by 50% in 2024, and the benefits promised cut across all functions in the organisation, including operations, marketing and sales, customer service, finance and of course IT.

But exactly how these functions will benefit from Gen AI will likely depend on how well the technology is understood, what types of use cases are adopted, and how well employees embrace the enterprise applications that will eventually be deployed.

What is clear is that the Gen AI honeymoon is fast nearing its end as C-suite leaders get a better handle on the risks that come with unbridled use of the technology.

In this PodChats for FutureCIO, Leslie Joseph, a principal analyst at Forrester, answers some of the most perplexing questions that GenAI brings to the table.

1. What do most organisations in Asia, and its leaders, understand when it comes to generative AI?

a. How would you compare how leadership and the rest of the company feel about GenAI?

2. Some contend that GenAI has the potential to democratise data analytics? Can you elaborate on this?

3. GenAI is still relevant young. How do you see hardware, software and solutions evolving as AI and ML techniques mature?

a. Is the infrastructure of today ready to support the evolving AI technologies?

4. What measures/safeguards are needed to ensure responsible use of GenAI? (Level 100?)

5. Do you see GenAI leading to IT team burnout?

6. What is the future of GenAI? How do you see it driving the future?

  continue reading

408 episoder

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