On this episode of the Scouting For Growth podcast, Sabine VdL talks to Marinela Profi, a leading expert in AI and the Global AI and Generative AI Marketing Strategy Lead at SAS.

Marinela has a wealth of experience at the intersection of data science, artificial intelligence, and strategic marketing. At SAS, she has been instrumental in crafting global marketing strategies for cutting-edge AI solutions, helping organizations worldwide leverage AI to drive innovation, enhance productivity, and achieve operational efficiencies.

Today, Marinela will share insights from the recent SAS Generative AI Global Research Report, and we will both delve into how organizations are approaching generative AI, the benefits they're seeing, and the challenges they're facing in areas like governance, compliance, and skill gaps.

KEY TAKEAWAYS


The SAS Generative AI Global Research Report interviewed 1600 organisations from 16 different countries from all continents so the data would be as diverse and include as many voices as possible. The results found that the top 2 players are China and the US. China leads the world with usage (83% said they have adopted the technology and are experimenting with it) while the US leads in implementation and maturity.


Generative AI truly allows organisations to enhance operational efficiency while improving employees’ experience through more personalise, streamlined, accessible resources. Ultimately what generative AI is doing, at a high level, is creating a more agile, responsive and engaging workplace for employees. However, there are things we need to think about.


Generative AI is not delivering the same value to all employees, from business users to business analysts, data scientists, IT people, marketers. They each see different kinds of benefits, but at the same time they need to be aware that there are different kinds if risks and they are asking themselves different kinds of questions.


Having governance in place is one of the top challenges between winning and failing with generative AI. When you don’t have governance frameworks in place (and the report shows that the majority of organisations are not thinking about this) there’s a lot of risks that you could incur. Ethical risks, compliance and legal issues, intellectual property risks, security vulnerabilities.

BEST MOMENTS

‘Higher adoption and implementation doesn’t necessarily equate to effective implementation and effective returns.’

‘Banking is one of the top markets for generative AI implementation even though you may think it would face the most challenges because of being a highly regulated industry.’

‘AI’s answers may sound convincing, but how do users ensure accuracy? By prompting more effectively.’

‘Generative AI is being used worldwide in either sharing information that is right or creating positive engagement, or misinformation. Governance allows to make sure that we are not incurring any ethical concerns.’

ABOUT THE GUEST

Marinela Profi: When it comes to data and analytics investments, organizations are looking to achieve better and faster decisions. Data science/IT teams need to effectively collaborate to quickly prototype and industrialize solutions. Conversations are no longer about what tool or specific technology to use. Expectations are being elevated to increased productivity/cost savings, privacy and security.

At SAS, my role as Principal Product Marketing Lead for AI has been instrumental in global marketing strategies, particularly for cutting-edge artificial intelligence solutions like Machine Learning and Generative AI. With an MBA and a Master's in Statistics and AI, I've been able to translate complex technical concepts into strategic marketing initiatives that resonate with our diverse clientele.

ABOUT THE HOST

Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner.

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On this episode of the Scouting For Growth podcast, Sabine VdL talks to Marinela Profi, a leading expert in AI and the Global AI and Generative AI Marketing Strategy Lead at SAS.
Marinela has a wealth of experience at the intersection of data science, artificial intelligence, and strategic marketing. At SAS, she has been instrumental in crafting global marketing strategies for cutting-edge AI solutions, helping organizations worldwide leverage AI to drive innovation, enhance productivity, and achieve operational efficiencies.
Today, Marinela will share insights from the recent SAS Generative AI Global Research Report, and we will both delve into how organizations are approaching generative AI, the benefits they're seeing, and the challenges they're facing in areas like governance, compliance, and skill gaps.
KEY TAKEAWAYS
<ul>
<li dir="ltr" aria-level="1">
The SAS Generative AI Global Research Report interviewed 1600 organisations from 16 different countries from all continents so the data would be as diverse and include as many voices as possible. The results found that the top 2 players are China and the US. China leads the world with usage (83% said they have adopted the technology and are experimenting with it) while the US leads in implementation and maturity.
</li>
<li dir="ltr" aria-level="1">
Generative AI truly allows organisations to enhance operational efficiency while improving employees’ experience through more personalise, streamlined, accessible resources. Ultimately what generative AI is doing, at a high level, is creating a more agile, responsive and engaging workplace for employees. However, there are things we need to think about.
</li>
<li dir="ltr" aria-level="1">
Generative AI is not delivering the same value to all employees, from business users to business analysts, data scientists, IT people, marketers. They each see different kinds of benefits, but at the same time they need to be aware that there are different kinds if risks and they are asking themselves different kinds of questions.
</li>
<li dir="ltr" aria-level="1">
Having governance in place is one of the top challenges between winning and failing with generative AI. When you don’t have governance frameworks in place (and the report shows that the majority of organisations are not thinking about this) there’s a lot of risks that you could incur. Ethical risks, compliance and legal issues, intellectual property risks, security vulnerabilities.
</li>
</ul>
BEST MOMENTS
‘Higher adoption and implementation doesn’t necessarily equate to effective implementation and effective returns.’
‘Banking is one of the top markets for generative AI implementation even though you may think it would face the most challenges because of being a highly regulated industry.’
‘AI’s answers may sound convincing, but how do users ensure accuracy? By prompting more effectively.’
‘Generative AI is being used worldwide in either sharing information that is right or creating positive engagement, or misinformation. Governance allows to make sure that we are not incurring any ethical concerns.’
ABOUT THE GUEST
Marinela Profi: When it comes to data and analytics investments, organizations are looking to achieve better and faster decisions. Data science/IT teams need to effectively collaborate to quickly prototype and industrialize solutions. Conversations are no longer about what tool or specific technology to use. Expectations are being elevated to increased productivity/cost savings, privacy and security.
At SAS, my role as Principal Product Marketing Lead for AI has been instrumental in global marketing strategies, particularly for cutting-edge artificial intelligence solutions like Machine Learning and Generative AI. With an MBA and a Master's in Statistics and AI, I've been able to translate complex technical concepts into strategic marketing initiatives that resonate with our diverse clientele.
ABOUT THE HOST
Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, &amp; commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor &amp; multi-award winner.
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There are over 140,000 FinTech ventures out there, including FinTechs, InsurTechs, HealthTechs, and WealthTechs. And the number keeps on changing every month. One statistic remains the same: 25% of these ventures have received investment and support from the financing world. 75% of these businesses still seek financing support from institutional and corporate investors alongside value-creating commercial collaboration opportunities with Global Fortune 500.

Through this podcast series, I would like to demystify the world of corporate venturing, including how corporations collaborate with growth ventures, how venture capitalists and corporate venture capitalists make investment and collaboration choices in ventures and give tech founders and entrepreneurs, the strategies, tactics, tools, and techniques to build, grow and scale their business by understanding how those with financing power think. 

So, listen in, share and comment as you see fit.

There are over 140,000 FinTech ventures out there, including FinTechs, InsurTechs, HealthTechs, and WealthTechs. And the number keeps on changing every month. One statistic remains the same: 25% of these ventures have received investment and support from the financing world. 75% of these businesses still seek financing support from institutional and corporate investors alongside value-creating commercial collaboration opportunities with Global Fortune 500.
Through this podcast series, I would like to demystify the world of corporate venturing, including how corporations collaborate with growth ventures, how venture capitalists and corporate venture capitalists make investment and collaboration choices in ventures and give tech founders and entrepreneurs, the strategies, tactics, tools, and techniques to build, grow and scale their business by understanding how those with financing power think. 
So, listen in, share and comment as you see fit.

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