Latest news with #StevenLim
CNA
01-08-2025
- Entertainment
- CNA
Property agents, cafe owners, a pilot: Where are the stars of Growing Up, Under One Roof and Triple Nine now?
When former actor Andrew Seow announced he was now an auxiliary police officer, it gave us a major blast from the past: Who can hear that name without thinking of the iconic 90s family drama Growing Up, which remains one of local television's seminal productions? And, if you give a mouse a cookie, he's going to ask for a glass of milk. So thinking about Andrew Seow is going to make you think about Jamie Yeo and Lim Kay Tong, who still dabble in arts and entertainment up until today. But, what about the actors who decided to step out of the local television limelight, like Irin Gan and Steven Lim – what might they be up to now? And, speaking of them, what about the erstwhile actors from Triple Nine, Under One Roof, The Price Of Peace, and more? Happily, these days, with a little online surveying, you can pretty much find everyone who wants to be found. We did the kaypoh sleuthing so you don't have to. IRIN GAN View this post on Instagram A post shared by Irin Brielle Gan (@iringan) She played the eldest daughter in Growing Up and according to her social media posts, she's active and outdoorsy, and is a huge motorcycle enthusiast who loves her Harley Davidsons. She also works out at the gym and enjoys the beach and water activities. STEVEN LIM He played the younger son in Growing Up, but soon after, he left Singapore for the UK to study acting. He now runs cafes and restaurants in Bangkok and is a photographer who still dabbles in acting. His other passions include climbing and dogs. WEE SOON HUI View this post on Instagram A post shared by Wee Soon Hui (@weesoonhui) She was Singapore's most famous on-screen mum in Growing Up, so it was extra special when she returned to television in 2015 to play the mum in the long-running drama Tanglin. She still makes the occasional post reminiscing about her days on set with the Growing Up cast, sharing nostalgic old photos. HADY MIRZA View this post on Instagram A post shared by Hady Mirza (@hadymirzaofficial) The Singapore Idol 2006 winner announced in June this year that he's now a property agent. Fellow Singapore Idol Taufik Batisah, who made the same move in 2019 but will be holding a solo concert in October, left an encouraging message for Hady proposing they work together to 'co-broke' a deal. JACKSON TAN View this post on Instagram A post shared by 𝐉𝐚𝐜𝐤𝐬𝐨𝐧 𝐁. (@jacksonbcxz) Another actor-turned-property agent, the Star Search 2007 alumni was a physical fitness coach before helping people find their dream homes. MARGARET CHAN View this post on Instagram A post shared by PORNSAK ดร. พรศักดิ์ (@pornsakp) After playing the formidable matriarch in 1994's Masters Of The Sea and delivering that unforgettable 'crush you like a cockroach' line forever emblazoned on the annals of local television, she went on to become a professor at Singapore Management University. One of her students was award-winning host Pornsak, who credited her with teaching him 'not just how to speak, but how to think'. NICHOLAS LEE View this post on Instagram A post shared by Nicholas Lee (@nicklee7788) Famous for playing Under One Roof's cheeky Ronnie Tan, the actor founded and runs a company specialising in design, video and event production. NORLEENA SALIM View this post on Instagram A post shared by Leena Salim (@leenasalim) The actress who played the Tan family's neighbour Rosnah in Under One Roof now lives in Brisbane and sings in her own jazz band, belting out soulful tunes with aplomb. Find her on YouTube, where she has her own channel. DAISY IRANI SUBAIAH View this post on Instagram A post shared by Daisy Irani (@ After playing Daisy on Under One Roof, she took on an executive role at Mediacorp, and then founded arts company HuM Theatre, which stages plays. DARRYL YONG View this post on Instagram A post shared by Darryl Yong (@darryl_yong) The Star Search 2010 finalist who was active on television until 2021 is now a financial advisor. He and his Thailand-born wife are raising two young children together. JERRY YEO View this post on Instagram A post shared by Jerry Yeo (@cantabiles) After placing second in 2007's Star Search talent competition, he became known for his baddie roles, taking home the Most Memorable Villain trophy at the 2010 Star Awards. In 2015, he went to flight training school and became a pilot, and now spends his days flying around the world. CAROLE LIN View this post on Instagram A post shared by Carole Lin (@carolelinxiaopei) The Price Of Peace actress who was a familiar face on Channel 8 is now busy being a mum to her 10-year-old daughter and still hangs out with famous friends like Huang Biren, Pan Ling Ling, Phyllis Quek and Chen Xiu Huan. JEFF WANG View this post on Instagram A post shared by 王振復 Jeff Wang (@zaiwang107) The Star Search alumni and former City Beat host moved to Taiwan in 2009, where he's now known for starring in TV dramas like Feng Shui Family and The Way To Happiness. Still active in entertainment, he also opened a restaurant in 2020 and, in 2021, changed his name from Wang Chien-fu to Wang Chen-fu. CASSANDRA SEE View this post on Instagram A post shared by Cassandra See 薛素珊 (@busy_with_jesus_) The actress who was most active in the 90s now does live streaming on TikTok, where she also posts videos of her bright and affectionate pet cockatiel. CHUNYU SHANSHAN View this post on Instagram A post shared by 淳于珊珊 ChunYu ShanShan (@chunyu_shanshan) Remember him from epics like Stepping Out and The Price Of Peace? A familiar face on television in the 1990s, the actor moved back to his native China in the early 2000s, where he continued his career in entertainment. His latest works include 2024 Chinese action film The Bodyguard and, this year, an Italian kung fu flick called Forbidden City. CHONG CHIA SUAN View this post on Instagram A post shared by Chia Suan Chong (@chiasuanchong) Once rounding up all the bad guys in town in Triple Nine, her personal website says she's a writer and communication skills trainer based in the UK who works with organisations including National Geographic. ROBIN LEONG View this post on Instagram A post shared by Robin Leong (@robin12leong)
Yahoo
20-05-2025
- Business
- Yahoo
Vertiv Enhances AI Infrastructure with NVIDIA (NVDA) 800V DC
We recently published a list of . In this article, we are going to take a look at where Vertiv Holdings Co (NYSE:VRT) stands against other AI stocks that are surging on news and analyst ratings. According to an analysis by global management consulting firm McKinsey & Company, data centers are projected to require $6.7 trillion in capital expenditures worldwide by 2030 to keep up with the demand for compute power. Those data centers that are equipped to handle AI processing loads are projected to require $5.2 trillion in capital expenditures. Meanwhile, those powering traditional IT applications are projected to require $1.5 trillion, totaling up to a staggering figure close to $7 trillion. READ NEXT: and The report further claims that the companies that anticipate compute power demand and invest accordingly will win the AI-driven computing era. By proactively securing critical resources such as land, materials, energy capacity, and computing power, they would have the potential to gain a significant competitive edge. Different analysts seem to have differing perspectives on this $7 trillion figure. Wes Cummins, CEO of Applied Digital, believes that the $7 trillion estimate appears to be 'on the high end.' 'If we're talking just the next five years, I think that's a hard number to hit, just from the practicality of building and finding enough power.' On the other hand, Steven Lim from NTT Global Data Centers asserted that the large figure is not that far-fetched. 'If we have an idealized situation and a consistent demand curve that we see today, then $7 trillion is not out of bounds.' While the opinions on the feasibility of this estimate may vary, one thing that is clear is that the race to build AI-ready infrastructure is accelerating. As the demand for compute power surges to new heights, the ability to scale efficiently will determine which companies will lead the AI era and which ones will fall behind. For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter's strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points ().Vertiv Holdings Co (NYSE:VRT) offers digital infrastructure technology and services for data centers, communication networks, and commercial and industrial facilities. On May 19, the critical digital infrastructure provider confirmed its strategic alignment with NVIDIA's announcement of 800 VDC power architectures for future AI-centric data centers. The 800 VDC power portfolio by Vertiv is planned for release in the second half of 2026, ahead of NVIDIA Kyber and NVIDIA Rubin Ultra platform rollouts. The goal of this strategic alignment is to enable customers to deploy their power and cooling infrastructure in alignment with NVIDIA's next-generation compute platforms. A major advantage of the 800 VDC is that it enables more efficient and centralized power delivery through reducing copper usage, current, and thermal losses. This is particularly useful now that rack power requirements in AI environments are scaling beyond 300 kilowatts. 'As GPUs evolve to support increasingly complex AI applications at giga-watt scale, power and cooling providers need to be equally innovative to provide energy-efficient and high-density solutions for the AI factories. While the 800 VDC portfolio is new, DC power isn't a new direction for us, it's a continuation of what we've already done at scale. We've spent decades deploying higher-voltage DC architectures across global telecom, industrial, and data center applications. We're entering this transition from a position of strength and bringing real-world experience to meet the demands of the AI factory.' Overall, VRT ranks 7th on our list of AI stocks that are surging on news and analyst ratings. While we acknowledge the potential of VRT as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than VRT and that has 100x upside potential, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
Yahoo
20-05-2025
- Business
- Yahoo
Takeda Taps Salesforce (CRM) for AI-Driven Customer Experience Platform
We recently published a list of . In this article, we are going to take a look at where Salesforce Inc (NYSE:CRM) stands against other AI stocks that are surging on news and analyst ratings. According to an analysis by global management consulting firm McKinsey & Company, data centers are projected to require $6.7 trillion in capital expenditures worldwide by 2030 to keep up with the demand for compute power. Those data centers that are equipped to handle AI processing loads are projected to require $5.2 trillion in capital expenditures. Meanwhile, those powering traditional IT applications are projected to require $1.5 trillion, totaling up to a staggering figure close to $7 trillion. READ NEXT: and The report further claims that the companies that anticipate compute power demand and invest accordingly will win the AI-driven computing era. By proactively securing critical resources such as land, materials, energy capacity, and computing power, they would have the potential to gain a significant competitive edge. Different analysts seem to have differing perspectives on this $7 trillion figure. Wes Cummins, CEO of Applied Digital, believes that the $7 trillion estimate appears to be 'on the high end.' 'If we're talking just the next five years, I think that's a hard number to hit, just from the practicality of building and finding enough power.' On the other hand, Steven Lim from NTT Global Data Centers asserted that the large figure is not that far-fetched. 'If we have an idealized situation and a consistent demand curve that we see today, then $7 trillion is not out of bounds.' While the opinions on the feasibility of this estimate may vary, one thing that is clear is that the race to build AI-ready infrastructure is accelerating. As the demand for compute power surges to new heights, the ability to scale efficiently will determine which companies will lead the AI era and which ones will fall behind. For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter's strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (). A customer service team in an office setting using the company's Customer 360 platform to communicate with Inc (NYSE:CRM) is a cloud-based CRM company that has gained popularity after it unveiled its AI-powered platform called Agentforce. On May 19, the company announced that Takeda, a multinational pharmaceutical company, has selected Salesforce Life Sciences Cloud for Customer Engagement to streamline interactions with healthcare professionals. Takeda will be leveraging Salesforce's deeply unified platform, including Agentforce and Data Cloud, to deploy personalized AI agents. These agents will allow it to support numerous operations, from medical to commercial and patient support functions. 'Takeda is an outstanding leader in the industry, aspiring to create better health for people and a brighter future for the world. Now, with Life Sciences Cloud for Customer Engagement, we'll help Takeda improve provider and patient engagement and scale the impact of every team member.' Overall, CRM ranks 5th on our list of AI stocks that are surging on news and analyst ratings. While we acknowledge the potential of CRM as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than CRM and that has 100x upside potential, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
20-05-2025
- Business
- Yahoo
Morgan Stanley Bullish on Tesla (TSLA Beyond EVs, Sets $410 Target
We recently published a list of . In this article, we are going to take a look at where Tesla, Inc. (NASDAQ:TSLA) stands against other AI stocks that are surging on news and analyst ratings. According to an analysis by global management consulting firm McKinsey & Company, data centers are projected to require $6.7 trillion in capital expenditures worldwide by 2030 to keep up with the demand for compute power. Those data centers that are equipped to handle AI processing loads are projected to require $5.2 trillion in capital expenditures. Meanwhile, those powering traditional IT applications are projected to require $1.5 trillion, totaling up to a staggering figure close to $7 trillion. READ NEXT: and The report further claims that the companies that anticipate compute power demand and invest accordingly will win the AI-driven computing era. By proactively securing critical resources such as land, materials, energy capacity, and computing power, they would have the potential to gain a significant competitive edge. Different analysts seem to have differing perspectives on this $7 trillion figure. Wes Cummins, CEO of Applied Digital, believes that the $7 trillion estimate appears to be 'on the high end.' 'If we're talking just the next five years, I think that's a hard number to hit, just from the practicality of building and finding enough power.' On the other hand, Steven Lim from NTT Global Data Centers asserted that the large figure is not that far-fetched. 'If we have an idealized situation and a consistent demand curve that we see today, then $7 trillion is not out of bounds.' While the opinions on the feasibility of this estimate may vary, one thing that is clear is that the race to build AI-ready infrastructure is accelerating. As the demand for compute power surges to new heights, the ability to scale efficiently will determine which companies will lead the AI era and which ones will fall behind. For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter's strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (). Copyright: wolandmaster / 123RF Stock PhotoTesla, Inc. (NASDAQ:TSLA) is an automotive and clean energy company that leverages advanced artificial intelligence in its autonomous driving technology and robotics initiatives. On May 19, the stock was revisited by a Wall Street analyst, Adam Jonas from Morgan Stanley. Jones has maintained a 'Buy' rating on the stock and has a $410.00 price target. He believes that Tesla has the potential to move beyond its traditional core automotive business, noting how investors focus solely on Tesla's car sales, even though its future value lies in its ability to leverage its installed base of vehicles for additional revenue streams. The analyst also pointed out the growth and high margins of) Tesla's energy storage business, valuing it at $67 per share. He further said that Tesla's humanoid robots have the potential to transform the labor market and also add significant value to the company. Even though valuing Tesla's diverse portfolio of emerging businesses remains a challenge, the above factors have enabled a positive outlook toward the stock. Overall, TSLA ranks 6th on our list of AI stocks that are surging on news and analyst ratings. While we acknowledge the potential of TSLA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than TSLA and that has 100x upside potential, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
Yahoo
20-05-2025
- Business
- Yahoo
NVIDIA (NVDA) Unveils Tech Plans to Speed AI Chip Communication
We recently published a list of . In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other AI stocks that are surging on news and analyst ratings. According to an analysis by global management consulting firm McKinsey & Company, data centers are projected to require $6.7 trillion in capital expenditures worldwide by 2030 to keep up with the demand for compute power. Those data centers that are equipped to handle AI processing loads are projected to require $5.2 trillion in capital expenditures. Meanwhile, those powering traditional IT applications are projected to require $1.5 trillion, totaling up to a staggering figure close to $7 trillion. READ NEXT: and The report further claims that the companies that anticipate compute power demand and invest accordingly will win the AI-driven computing era. By proactively securing critical resources such as land, materials, energy capacity, and computing power, they would have the potential to gain a significant competitive edge. Different analysts seem to have differing perspectives on this $7 trillion figure. Wes Cummins, CEO of Applied Digital, believes that the $7 trillion estimate appears to be 'on the high end.' 'If we're talking just the next five years, I think that's a hard number to hit, just from the practicality of building and finding enough power.' On the other hand, Steven Lim from NTT Global Data Centers asserted that the large figure is not that far-fetched. 'If we have an idealized situation and a consistent demand curve that we see today, then $7 trillion is not out of bounds.' While the opinions on the feasibility of this estimate may vary, one thing that is clear is that the race to build AI-ready infrastructure is accelerating. As the demand for compute power surges to new heights, the ability to scale efficiently will determine which companies will lead the AI era and which ones will fall behind. For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter's strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points ().NVIDIA Corporation (NASDAQ:NVDA) specializes in AI-driven solutions, offering platforms for data centers, self-driving cars, robotics, and cloud services. On May 19, the company revealed that it plans to sell a technology that will tie chips together, accelerating the chip-to-chip communication needed to build and deploy artificial intelligence tools. On the same day, it launched a new version of its NVLink tech called NVLink Fusion. Nvidia will sell the NVLink Fusion to other chip designers to help build powerful custom AI systems with multiple chips linked together. Companies looking to adopt the NVLink Tech called Fusion for their custom chip efforts include Marvell Technology and MediaTek. In other news, CEO Jensen Huang has also announced the company's plan to build a Taiwan headquarters in the northern suburbs of Taipei. Overall, NVDA ranks 3rd on our list of AI stocks that are surging on news and analyst ratings. While we acknowledge the potential of NVDA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than NVDA and that has 100x upside potential, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey.
