Latest news with #AWS
Geek Wire
an hour ago
- Business
- Geek Wire
The realities of enterprise AI deployments, with Amazon Web Services VP Francessca Vasquez
On this episode of the GeekWire Podcast, we dive into enterprise AI adoption with Francessca Vasquez, a vice president at Amazon Web Services who leads its work with enterprise customers through the AWS Professional Services Group and the AWS Generative AI Innovation Center. Vasquez shares insights from more than 1,000 customer engagements across industries, explaining how companies are moving from AI experiments to deployments. We discuss the rise of AI agents, the challenges businesses face in scaling AI initiatives, and why some industries are surprising everyone with their pace of innovation. We also discuss specific examples including Yahoo Finance's multi-agent news analysis system, the PGA Tour's AI-powered real-time golf commentary, Formula 1's root cause analyzer for troubleshooting race-day issues, and Jabil's shop floor assistant for manufacturing employees. Listen below, or subscribe in any podcast app, and keep reading for highlights. On the rapid pace of AI evolution: 'The pace of innovation right now for generative and agentic AI is just a lot faster than what I've ever seen in my career. I couldn't tell you what are things going to look like in 12 to 18 months. That's how fast things are moving.' Industries adopting AI faster than expected: 'If you had asked me 24 months ago, did I think one industry would really just be leading in adoption, I probably would have said, just look at all of your digital native companies… I would have been wrong. … We've seen a lot of innovation happening in financial services. We've seen a lot happening in manufacturing and healthcare.' On moving from proof of concept to production: 'The only way you get to value is by actually putting things into production. … Of these same companies that were doing experiments or proof of concepts a year ago, only about 30% of them actually got into production. With the work that we do, we've been able to increase that well over 50%.' What makes for successful enterprise AI deployments: 'These things still require having very good leadership conviction. The companies that may be progressing further, they've got a leadership team who believes in the pace of technology, or they've got senior technical thought leaders on their board. That makes a very big difference.' Beyond the technology: 'How [companies] think about their culture and their people, that becomes a huge differentiator for both talent development and attraction. … It's more than just the technology of models and latency and tokens. It's also about the people and the culture and what experiences you want.' On AI agents and the future of work: 'I expect that any organization that's offering consulting services, they will all have to have some level of generative AI and agentic AI in their workflows — all of them, every last one of them.' Related Stories and Links: Audio editing by Curt Milton.
Yahoo
4 hours ago
- Business
- Yahoo
CrowdStrike (CRWD) Expands AWS Partnership to Power AI Security Solutions
CrowdStrike Holdings, Inc. (NASDAQ:CRWD) is one of the . On July 16, Crowdstrike announced an expanded collaboration with Amazon Web Services (AWS) to fast-track AI adoption in cybersecurity and secure AI use. Under the collaboration, Crowdstrike's new tools, the falcon-mcp, which is an MCP server for the CrowdStrike Falcon® platform, and CrowdStrike AI Red Team Services, are available under the new AI Agents and Tools category of AWS Marketplace. These tools will help AWS customers to operationalize agentic AI workflow integrations, as well as safely test and protect AI systems within their existing AWS environment. With AI adoptions accelerating, offering realistic ways to connect models to real-time security operations has become a critical need. Trusted frameworks such as those from Crowdstrike can help companies power their security operations and protect the AI systems those operations depend on. A trust services representative using modern technology for improved financial security. 'Agentic AI is fundamentally changing business of all sizes across every industry – but only secure AI can safely scale to deliver long-term results. With these offerings now available in AWS Marketplace, CrowdStrike is giving customers the power to safely build, test, and run AI-driven security workflows using the same cybersecurity platform trusted to protect the world's most critical environments.' -Daniel Bernard, chief business officer, CrowdStrike. CrowdStrike Holdings, Inc. (NASDAQ:CRWD) is a leader in AI-driven endpoint and cloud workload protection. While we acknowledge the potential of CRWD as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None. 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
Sinar Daily
4 hours ago
- Business
- Sinar Daily
Tech giants scramble to meet AI's looming energy crisis
NEW YORK -The artificial intelligence industry is scrambling to reduce its massive energy consumption through better cooling systems, more efficient computer chips, and smarter programming -- all while AI usage explodes worldwide. AI depends entirely on data centres, which could consume three per cent of the world's electricity by 2030, according to the International Energy Agency. That's double what they use today. A shift to liquid cooling, where coolant runs through servers, could significantly cut reliance on traditional, energy-draining air conditioning. - 123RF photo Experts at McKinsey, a US consulting firm, describe a race to build enough data centres to keep up with AI's rapid growth, while warning that the world is heading toward an electricity shortage. "There are several ways of solving the problem," explained Mosharaf Chowdhury, a University of Michigan professor of computer science. Companies can either build more energy supply -- which takes time and the AI giants are already scouring the globe to do -- or figure out how to consume less energy for the same computing power. Chowdhury believes the challenge can be met with "clever" solutions at every level, from the physical hardware to the AI software itself. For example, his lab has developed algorithms that calculate exactly how much electricity each AI chip needs, reducing energy use by 20-30 per cent. 'Clever' solutions Twenty years ago, operating a data centre -- encompassing cooling systems and other infrastructure -- required as much energy as running the servers themselves. Today, operations use just 10 per cent of what the servers consume, says Gareth Williams from consulting firm Arup. This is largely through this focus on energy efficiency. Many data centres now use AI-powered sensors to control temperature in specific zones rather than cooling entire buildings uniformly. This allows them to optimise water and electricity use in real-time, according to McKinsey's Pankaj Sachdeva. For many, the game-changer will be liquid cooling, which replaces the roar of energy-hungry air conditioners with a coolant that circulates directly through the servers. "All the big players are looking at it," Williams said. This matters because modern AI chips from companies like Nvidia consume 100 times more power than servers did two decades ago. Amazon's world-leading cloud computing business, AWS, last week said it had developed its own liquid method to cool down Nvidia GPUs in its servers - - avoiding have to rebuild existing data centres. "There simply wouldn't be enough liquid-cooling capacity to support our scale," Dave Brown, vice president of compute and machine learning services at AWS, said in a YouTube video. US vs China For McKinsey's Sachdeva, a reassuring factor is that each new generation of computer chips is more energy-efficient than the last. Research by Purdue University's Yi Ding has shown that AI chips can last longer without losing performance. "But it's hard to convince semiconductor companies to make less money" by encouraging customers to keep using the same equipment longer, Ding added. Yet even if more efficiency in chips and energy consumption is likely to make AI cheaper, it won't reduce total energy consumption. "Energy consumption will keep rising," Ding predicted, despite all efforts to limit it. "But maybe not as quickly." In the United States, energy is now seen as key to keeping the country's competitive edge over China in AI. In January, Chinese startup DeepSeek unveiled an AI model that performed as well as top US systems despite using less powerful chips -- and by extension, less energy. DeepSeek's engineers achieved this by programming their GPUs more precisely and skipping an energy-intensive training step that was previously considered essential. China is also feared to be leagues ahead of the US in available energy sources, including from renewables and nuclear. - AFP
Yahoo
5 hours ago
- Business
- Yahoo
CrowdStrike (CRWD) Expands AWS Partnership to Power AI Security Solutions
CrowdStrike Holdings, Inc. (NASDAQ:CRWD) is one of the . On July 16, Crowdstrike announced an expanded collaboration with Amazon Web Services (AWS) to fast-track AI adoption in cybersecurity and secure AI use. Under the collaboration, Crowdstrike's new tools, the falcon-mcp, which is an MCP server for the CrowdStrike Falcon® platform, and CrowdStrike AI Red Team Services, are available under the new AI Agents and Tools category of AWS Marketplace. These tools will help AWS customers to operationalize agentic AI workflow integrations, as well as safely test and protect AI systems within their existing AWS environment. With AI adoptions accelerating, offering realistic ways to connect models to real-time security operations has become a critical need. Trusted frameworks such as those from Crowdstrike can help companies power their security operations and protect the AI systems those operations depend on. A trust services representative using modern technology for improved financial security. 'Agentic AI is fundamentally changing business of all sizes across every industry – but only secure AI can safely scale to deliver long-term results. With these offerings now available in AWS Marketplace, CrowdStrike is giving customers the power to safely build, test, and run AI-driven security workflows using the same cybersecurity platform trusted to protect the world's most critical environments.' -Daniel Bernard, chief business officer, CrowdStrike. CrowdStrike Holdings, Inc. (NASDAQ:CRWD) is a leader in AI-driven endpoint and cloud workload protection. While we acknowledge the potential of CRWD as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None.
Yahoo
5 hours ago
- Business
- Yahoo
Amazon.com, Inc. (AMZN) Is Dominating Retail, Says Jim Cramer
We recently published . Inc. (NASDAQ:AMZN) is one of the stocks Jim Cramer recently discussed. Inc. (NASDAQ:AMZN) is a regular feature of Cramer's morning show. The CNBC host's recent comments have surrounded the firm's AWS cloud business, Alexa Pro, and Prime Day sales. Cramer also believes that Inc. (NASDAQ:AMZN) CEO Andy Jassy's polite nature will serve him well in the current US political climate. He is also optimistic about Alexa Pro and believes the firm's upcoming earnings should be interesting when it comes to AWS. This time around, he discussed Inc. (NASDAQ:AMZN)'s dominance in the retail space: 'I mean Proctor's caught. They've got an Amazon problem. All those guys have an Amazon problem. . . .You just can't let them be in charge. But right now Amazon is in charge. And I think that's what the episode of four days, the big takeaway is alright, there's a boss in town. And you better figure out how to work with them. . .You have to have a strategy, they're too big.' A customer entering an internet retail store, illustrating the convenience of online shopping. Earlier, Cramer discussed a Morgan Stanley note about Inc. (NASDAQ:AMZN): 'I want to go away from Amazon Prime. A lot of people are saying it's good, a lot of bad. There was an excellent piece by Morgan Stanley, that it's not about Prime. It's not about retail. It's about Amazon Web Services, which you have long reminded me is really where the money is. What I thought that was interesting was, they're saying that Azure's got good numbers that could be harbinger for Amazon's numbers. But they said the latest CIO survey shows that Amazon is gaining over Microsoft, Google, and Oracle. And then they even say, now I don't know how important this really is, but non-Anthropic AWS growth speaks to the strength of the business. And Anthropic growth is going to be good. Now Anthropic, they're mistaken. But David, what they're really saying is that part that you really should be concerned about is not is not Prime. It's web services. And the web service could be better. And because of that, that you really are looking at lower estimates. And they could beat those estimates. . . .And I thought that was interesting because this is the one, that I think a lot of people say, you know what, Jassy hasn't done as well as the other guys. . .but I think Jassy's doing well and I think that web services is really doing well. While we acknowledge the potential of AMZN 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 extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the . READ NEXT: 30 Stocks That Should Double in 3 Years and 11 Hidden AI Stocks to Buy Right Now. 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
