DeepSeek's AI model was trained at a lower cost, but experts question its efficiency and development claims.
Demis Hassabis said AGI could be five years away, urging society to prepare for its implications.
Google DeepMind CEO Demis Hassabis has acknowledged
DeepSeek’s AI model as a notable development from China but said it does not
introduce any new scientific breakthroughs.
Speaking at a Google-hosted event in Paris yesterday (Sunday),
ahead of the AI Action Summit, Hassabis described the model as “an impressive
piece of work” and said it demonstrates “extremely good engineering.” However,
he emphasized that the underlying techniques used in the model are already
well-known, CNBC reported.
“I think it’s probably the best work I’ve seen come out of
China,” Hassabis said. He also noted that DeepSeek’s AI model has geopolitical
significance, as it showcases China’s ability to develop advanced AI systems.
However, he cautioned against overestimating its impact. “Despite the hype,
there’s no actual new scientific advance … it’s using known techniques,” he
added.
Last month, DeepSeek released a research paper claiming that
it had trained its AI model at a fraction of the cost incurred by leading AI
firms and used less-advanced Nvidia chips. The announcement had a significant
market impact, triggering a stock sell-off and sparking discussions about the
cost efficiency of AI development.
Hassabis’s comments add to the debate over whether AI firms
are spending excessive amounts on infrastructure. While acknowledging
DeepSeek’s engineering capabilities, he pointed out that DeepMind’s recently
launched Gemini 2.0 Flash models are more efficient.
Meanwhile, some experts have questioned DeepSeek’s claims
about low-cost development, suggesting that the actual expenses may be higher
than reported.
The AGI Timeline Debate
Hassabis also addressed the broader topic of artificial
general intelligence (AGI), which refers to AI systems with human-like
cognitive abilities. He suggested that AGI could be achieved within the next
five years.
“I think we’re close now, you know, maybe we are only, you
know, perhaps 5 years or something away from a system like that,” he said. He
added that society needs to prepare for the potential consequences of AGI,
ensuring that its benefits are widely distributed while also addressing risks.
Deepseek’s AI model is ‘the best work’ out of China but the hype is 'exaggerated,' Google Deepmind CEO says https://t.co/GJLhpT5eQv
His remarks align with those of OpenAI CEO Sam Altman, who
has said that he is “confident we know how to build AGI as we have
traditionally understood it.” However, concerns remain within the AI community.
Researchers such as Max Tegmark and Yoshua Bengio have warned that AGI could
lead to a loss of human control over AI systems, raising ethical and safety
concerns.
As discussions on AGI continue, the debate over AI
innovation, cost efficiency, and global competition remains at the center of
industry developments.
Italy's Data Protection Authority Blocks DeepSeek's
Chatbot
Giorgia Meloni, the Prime Minister of Italy, said, "Italy was the first country to ban DeepSeek. I hoped that other Western countries, especially the United States, would follow suit. But I didn't expect that I'd end up being 'left alone'. " Right after she said this, Meloni… pic.twitter.com/hjeqsRqxdK
The Garante stressed the importance of protecting Italian
users' data. Despite DeepSeek claiming its AI models rival those from the
United States, the order was issued, coinciding with investigations by data
regulators in Ireland and France.
Prediction on XRP and Bitcoin Prices for 2025
DeepSeek AI has made projections for XRP and Bitcoin in
2025 using machine learning, sentiment analysis, and economic data. For XRP, DeepSeek
predicts a price range between $3.50 and $5.00 by the end of 2025, based on
factors such as Ripple's legal situation, the adoption of its On-Demand Liquidity
platform, and overall market conditions.
The model assigns a 70% probability of a positive resolution
in Ripple's legal case, which could boost investor confidence and institutional
adoption. For Bitcoin, DeepSeek's predictions include a base case range of
$100,000 to $150,000, with the potential for higher prices in a bullish scenario or
a “black swan” event.
DeepSeek AI Predicts XRP’s Price by End of 2025: A Game-Changer for Crypto Investors? https://t.co/IqSwacNxGX
DeepSeek has quickly risen to the top of the US App Store
charts, surpassing
ChatGPT as the most downloaded app. The app’s success is attributed to its
ability to match leading AI models while reportedly being developed for under
$6 million, far less than the billions spent by competitors.
Its open-source
foundation, DeepSeek-V3, has sparked discussions on cost efficiency in AI
development. DeepSeek's rise has led to declines in stocks of major US tech
firms, while some analysts caution that Chinese companies like DeepSeek could
face challenges due to limited access to advanced US chips. The app's efficient
use of Nvidia A100 chips, stockpiled before US export restrictions, has been
credited with reducing costs without sacrificing performance.
Google DeepMind CEO Demis Hassabis has acknowledged
DeepSeek’s AI model as a notable development from China but said it does not
introduce any new scientific breakthroughs.
Speaking at a Google-hosted event in Paris yesterday (Sunday),
ahead of the AI Action Summit, Hassabis described the model as “an impressive
piece of work” and said it demonstrates “extremely good engineering.” However,
he emphasized that the underlying techniques used in the model are already
well-known, CNBC reported.
“I think it’s probably the best work I’ve seen come out of
China,” Hassabis said. He also noted that DeepSeek’s AI model has geopolitical
significance, as it showcases China’s ability to develop advanced AI systems.
However, he cautioned against overestimating its impact. “Despite the hype,
there’s no actual new scientific advance … it’s using known techniques,” he
added.
Last month, DeepSeek released a research paper claiming that
it had trained its AI model at a fraction of the cost incurred by leading AI
firms and used less-advanced Nvidia chips. The announcement had a significant
market impact, triggering a stock sell-off and sparking discussions about the
cost efficiency of AI development.
Hassabis’s comments add to the debate over whether AI firms
are spending excessive amounts on infrastructure. While acknowledging
DeepSeek’s engineering capabilities, he pointed out that DeepMind’s recently
launched Gemini 2.0 Flash models are more efficient.
Meanwhile, some experts have questioned DeepSeek’s claims
about low-cost development, suggesting that the actual expenses may be higher
than reported.
The AGI Timeline Debate
Hassabis also addressed the broader topic of artificial
general intelligence (AGI), which refers to AI systems with human-like
cognitive abilities. He suggested that AGI could be achieved within the next
five years.
“I think we’re close now, you know, maybe we are only, you
know, perhaps 5 years or something away from a system like that,” he said. He
added that society needs to prepare for the potential consequences of AGI,
ensuring that its benefits are widely distributed while also addressing risks.
Deepseek’s AI model is ‘the best work’ out of China but the hype is 'exaggerated,' Google Deepmind CEO says https://t.co/GJLhpT5eQv
His remarks align with those of OpenAI CEO Sam Altman, who
has said that he is “confident we know how to build AGI as we have
traditionally understood it.” However, concerns remain within the AI community.
Researchers such as Max Tegmark and Yoshua Bengio have warned that AGI could
lead to a loss of human control over AI systems, raising ethical and safety
concerns.
As discussions on AGI continue, the debate over AI
innovation, cost efficiency, and global competition remains at the center of
industry developments.
Italy's Data Protection Authority Blocks DeepSeek's
Chatbot
Giorgia Meloni, the Prime Minister of Italy, said, "Italy was the first country to ban DeepSeek. I hoped that other Western countries, especially the United States, would follow suit. But I didn't expect that I'd end up being 'left alone'. " Right after she said this, Meloni… pic.twitter.com/hjeqsRqxdK
The Garante stressed the importance of protecting Italian
users' data. Despite DeepSeek claiming its AI models rival those from the
United States, the order was issued, coinciding with investigations by data
regulators in Ireland and France.
Prediction on XRP and Bitcoin Prices for 2025
DeepSeek AI has made projections for XRP and Bitcoin in
2025 using machine learning, sentiment analysis, and economic data. For XRP, DeepSeek
predicts a price range between $3.50 and $5.00 by the end of 2025, based on
factors such as Ripple's legal situation, the adoption of its On-Demand Liquidity
platform, and overall market conditions.
The model assigns a 70% probability of a positive resolution
in Ripple's legal case, which could boost investor confidence and institutional
adoption. For Bitcoin, DeepSeek's predictions include a base case range of
$100,000 to $150,000, with the potential for higher prices in a bullish scenario or
a “black swan” event.
DeepSeek AI Predicts XRP’s Price by End of 2025: A Game-Changer for Crypto Investors? https://t.co/IqSwacNxGX
DeepSeek has quickly risen to the top of the US App Store
charts, surpassing
ChatGPT as the most downloaded app. The app’s success is attributed to its
ability to match leading AI models while reportedly being developed for under
$6 million, far less than the billions spent by competitors.
Its open-source
foundation, DeepSeek-V3, has sparked discussions on cost efficiency in AI
development. DeepSeek's rise has led to declines in stocks of major US tech
firms, while some analysts caution that Chinese companies like DeepSeek could
face challenges due to limited access to advanced US chips. The app's efficient
use of Nvidia A100 chips, stockpiled before US export restrictions, has been
credited with reducing costs without sacrificing performance.
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
