YASH Technologies Achieves the AWS Generative AI Competency
Achieving the AWS Generative AI Competency differentiates YASH as an AWS Partner with demonstrated technical proficiency and proven customer success supporting enterprises in building scalable, production-grade generative AI solutions tailored to business needs. YASH possesses the experience and expertise shown from successful projects for addressing customer challenges using generative AI solutions as an enabler of their digital transformation strategies for augmenting the customer experience, delivering hyper-personalized and engaging content, streamlining workflows, and delivering actionable results powered by generative AI technology from AWS.
"YASH is proud to achieve the AWS Generative AI Competency," said Ashish Maheshwari, Vice President, Global Alliances & Business Head, AWS at YASH Technologies. "Our team is dedicated to helping customers accelerate their generative AI journeys by leveraging the agility, breadth of services, and pace of innovation that AWS provides. This recognition validates our ability to design and deploy enterprise-grade AI solutions that solve real-world business challenges, enabling clients to transition from pilots to production with confidence, speed, and scale."
This designation highlights YASH's ability to responsibly drive generative AI adoption by integrating large language models, robust cloud infrastructure, and contextual business use cases. Leveraging AWS services, including Amazon Bedrock, Amazon SageMaker, Amazon CodeWhisperer, and Amazon Q, YASH has developed innovative solutions across industries and enterprise functions.
"Generative AI is redefining how organizations operate, compete, and create value," said Nitin Gupta, Global Head, Digital, AI & Cloud Infrastructure Management Services at YASH Technologies. "This designation further enhances our ability to support forward-looking enterprises. By combining our domain-driven approach with powerful GenAI capabilities, we enable customers to adopt AI in a structured, responsible, and accelerated manner and help them become AI-first organizations."
This latest achievement strengthens YASH's broader collaboration with AWS. YASH holds AWS competencies in Data and Analytics, Migration and Modernization, DevOps, and Cloud Operations. With the AWS Generative AI Competency, YASH further reinforces its position as a trusted AWS Partner for organizations looking to operationalize AI securely and at scale.
About YASH Technologies
YASH Technologies focuses on enabling its customers to reimagine their businesses and drive outcome-centric AI-led Digital Transformation. As a global technology integrator and outsourcing partner, YASH combines strategic advisory, technology consulting, and flexible business models to help customers unlock value from their digital journey. Its consultative framework integrates domain expertise, proprietary methodologies, and digital solutions to deliver secure application, cloud, infrastructure, and engineering services. Headquartered in the US with global delivery and sales centers, YASH serves customers across six continents. The company is CMMI DEV V2.0 Level 5, ISO 9001:2015, ISO 27001:2013, and ISO 20000:2011 certified. For more information, visit www.yash.com or email [email protected].
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
CTV News
33 minutes ago
- CTV News
Tips from a tech expert on spotting AI-generated fakes
With the upsurge in deepfakes and how easy it is to create them we talk spotting fakes and how you can stay vigilant. The widespread availability and ease of use of image and video generators powered by artificial intelligence (AI) means what you see on the internet may not be what it seems. These programs and apps can create increasingly realistic-looking pictures, videos, and sound with only a few simple text prompts. In one recent example, a popular indie rock band that had more than a million monthly listeners on Spotify turned out to be AI-generated. In another case, officials in the U.S. warned of attempts to use AI tools to impersonate Secretary of State Marco Rubio. The Canadian Anti-Fraud Centre also recently warned about a rise in AI-generated voice messages being used to impersonate high-profile figures to extort victims for money and personal data. Even CTV News Ottawa was subject to impersonation using these kinds of tools. Following a report about an online scam that affected a local family, a fake version of our report circulated online, changing the words our anchors said to make it sound like they were advertising the scam in a positive light. Technology analyst and journalist Carmi Levy told CTV Morning Live that, for now, most AI-generated images and videos have imperfections that can give the game away. 'The two words that we usually use that seem to work for now are 'lean in.' So, when you're watching a video, slow it down, lean in and watch for what we like to call 'tells' that give away the fact that it's not real, it is synthetically generated, AI-created,' he said. Some things to watch out for include how the subject of the video moves. 'The movement might not be as smooth, it might be kind of stop-and-start,' said Levy. 'There might be little hitches here and there; sometimes the lips, the audio doesn't quite match what you're seeing on the individual's face.' The lighting or shading of the video might not look natural, or there might be other artefacts that seem out of place, Levy says. 'For example, if someone puts their arm around the back of somebody, there might be a placement issue or extra pieces; sometimes there are additional fingers or not enough fingers.' Levy warns, however, that these tools are becoming more sophisticated and are better able to replicate a realistic scene. 'With each new generation of these video generator apps, they get better and so it gets even harder to tell that something was AI-created. In fact, the new version of Veo, Veo 3, is so good that for a lot of people, even if they lean in, it's increasing difficult to tell,' he said. The federal government says rapid advances in AI have underscored the risks associated with the technology. 'The Government is taking actions to ensure that AI is developed in a safe and responsible manner,' a spokesperson for Innovation, Science and Economic Development Canada said in a statement to CTV News Ottawa. 'Just last November, the Government of Canada launched the Canadian Artificial Intelligence Safety Institute with the mandate to advance scientific understanding of the risks associated with the most advanced AI systems, develop measures to reduce those risks, and build trust to foster AI innovation. 'In addition, the government also launched a Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems in September of 2023. The Code calls on AI developers and managers to take risk-mitigation measures such as developing and implementing reliable and freely available methods to detect content generated by their AI system. Greater transparency on AI generated content can help protect Canadians against AI-enabled scams and fakes. The Government is protecting Canadians from fraud and impersonation, including cases involving AI, and will continue to explore all options to strengthen these protections.' Levy says when you see something online, before sharing it, ask questions and make sure it's coming from a trustworthy source. 'How do you tell if it's real or not real? You check the source. You make sure it's coming from a legitimate source that you can trust. In many cases, if you can't trace it back to its origin, you should start with the assumption that it's not real,' he said. 'That's what I do; I start cynically and require the content to prove to me that it is, in fact, real.'
Globe and Mail
3 hours ago
- Globe and Mail
This Stock Outperformed Nvidia and Palantir in the First Half. Is It Still a Buy?
Key Points CoreWeave stock surged by 300% in just a few months. The company is benefiting from high demand for computing power to support AI training and inferencing. 10 stocks we like better than CoreWeave › Over the past couple of years, Nvidia (NASDAQ: NVDA) and Palantir Technologies (NASDAQ: PLTR) have both shown their strengths in artificial intelligence (AI) -- and as a result, their earnings and stock performance have soared. Last year, Nvidia was the best-performing component in the Dow Jones Industrial Average (though it only was added to the venerable blue chip index in November), and Palantir posted the biggest gain in the S&P 500. Both of these players have continued to advance, and considering that we're in the early stages of the AI boom, more earnings growth and stock price gains could be on the way. But, in the first half of 2025, another company emerged as a potential AI powerhouse. In fact, this particular stock actually outperformed Nvidia and Palantir in the period, climbing by a mind-boggling 300%. Now you may be wondering whether this high flyer is still a buy. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now. Continue » A company with close ties to Nvidia This top-performing AI stock actually is new to the market, completing its initial public offering in late March, so its triple-digit gains took place over a period of only three months. I'm referring to CoreWeave (NASDAQ: CRWV), a company that is closely linked to Nvidia. This is because CoreWeave generates most of its revenue by renting out access to its vast collection of Nvidia graphics processing units (GPUs). The company has more than 250,000 of them deployed across its cloud infrastructure platform, and it specializes in handling AI workloads, offering customers the configurations they need to accomplish their goals faster. CRWV data by YCharts. Nvidia owns a 7% stake in CoreWeave, and made it possible for the young company to be the first to launch its latest GPUs. In February, CoreWeave became the first hyperscaler to make Nvidia's new Blackwell architecture broadly available -- and it just did the same recently with the latest iteration, Blackwell Ultra. So, a bet on CoreWeave is a bet on demand for Nvidia's latest chips. Its first-quarter earnings report showed this demand is going strong, as its revenue climbed by more than 400% year over year, and Nvidia's own Q1 earnings report offered additional clues: For example, Nvidia said it saw a leap in demand for inferencing computing power in the quarter. This sort of trend is likely to benefit CoreWeave. GPUs to fuel inferencing Inferencing is the process an AI model goes through when attempting to answer complex questions -- and it takes significant parallel processing power of the type provided by GPUs and other AI accelerators. As more people and organizations apply AI to real-world problems, inferencing could drive a whole new era of growth for companies like Nvidia and CoreWeave. It's important to remember that the need for GPUs doesn't end once a model is trained. CoreWeave's fleet of cloud servers may have plenty of busy days ahead over the long term. All of this is great, but CoreWeave still carries some risk for shareholders -- and that's due to the enormous and ongoing investments in infrastructure required to serve demand for GPUs. The company will have to keep up its capital spending to increase the size and power of its fleet of GPU clusters, and considering that Nvidia aims to roll out new chip architectures annually, CoreWeave will have to make those investments frequently to keep its offerings top of the line. All of this makes it difficult to estimate when CoreWeave will reach profitability. In the first quarter, its technology and infrastructure expenses surged by more than 500% to about $500 million, and it's fair to say the company is early in its growth story. It's also important to note that CoreWeave is in an expansion phase that involves other investments too. Some of those up-front costs may result in savings down the road. Acquiring Core Scientific One example is the company's recently announced plan to buy Core Scientific -- once that deal closes, CoreWeave no longer will have to pay rent to the data center operator, resulting in the savings of $10 billion in future lease payments. Though this will be a positive, CoreWeave's stock fell after the announcement earlier this week due to investors' concerns about share dilution -- it's an all-stock deal with a value of $9 billion. Investors also know that any acquisition comes with some risks and costs, as the buyer will have to integrate its new operations into its existing business. So the question remains: After strongly outperforming two of the market's biggest AI companies year to date, is CoreWeave still a buy? The answer depends on your investment strategy. If you're a cautious or value investor, you'd be better off exploring other opportunities. But if you're an aggressive investor who buys and holds stocks for the long term, now would still be a good time to add a few CoreWeave shares to your portfolio -- demand for AI and CoreWeave's immediate access to Nvidia's latest GPUs could result in major gains over the long run. Should you invest $1,000 in CoreWeave right now? Before you buy stock in CoreWeave, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and CoreWeave wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $674,432!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,005,854!* Now, it's worth noting Stock Advisor 's total average return is1,049% — a market-crushing outperformance compared to180%for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of July 7, 2025
Globe and Mail
3 hours ago
- Globe and Mail
2 Artificial Intelligence (AI) Stocks to Buy Before They Soar 150% and 735%, According to Certain Wall Street Analysts
Key Points Nvidia and Tesla are two of the three best-performing stocks in the S&P 500 since January 2020, notching returns of 2,690% and 1,010%, respectively. Nvidia has a dominant market position in data center GPUs and generative AI networking equipment, and the rise of physical artificial intelligence (AI) should be a major tailwind. Tesla's electric car business is struggling with market share losses, but CEO Elon Musk says the company will dominate the robotaxi market in the future. 10 stocks we like better than Nvidia › Nvidia (NASDAQ: NVDA) and Tesla (NASDAQ: TSLA) rank among the three best-performing stocks in the S&P 500 (SNPINDEX: ^GSPC) so far this decade, and artificial intelligence (AI) has been a major tailwind for both companies. Since January 2020, Nvidia shares have added 2,690% due to soaring demand for AI chips. Meanwhile, Tesla shares have added 1,010% due to excitement about self-driving cars and autonomous robots. In both cases, some Wall Street analysts expect more fireworks in the years ahead. Beth Kindig at the I/O Fund thinks Nvidia stock will reach $410 per share by 2030. That implies 150% upside from its current share price of $164. Tasha Keeney at Ark Invest thinks Tesla stock will reach $2,600 per share by 2029. That implies about 735% upside from its current share price of $310. Here's what investors should know about these companies. Nvidia: 150% implied upside Beth Kindig, lead technology analyst at the I/O Fund, thinks Nvidia will trade at $410 per share by 2030, which implies a market value of $10 trillion. The investment thesis centers on rapidly growing demand for artificial intelligence (AI) hardware and software in data centers, as well as edge devices like autonomous cars and robots. Nvidia is best known for its graphics processing units (GPUs), chips also known as artificial intelligence accelerators. It holds over 90% market share in data center GPUs, and analysts at TD Cowen expect the company to maintain the same level of dominance through the end of the decade, with AI chip sales increasing 160% during that period. However, investors need to understand Nvidia is more than a chipmaker. The company also leads the market for generative AI networking gear and it has a burgeoning cloud services business. "We stopped thinking of ourselves as a chip company long ago," CEO Jensen Huang told attendees at the annual shareholder meeting in June. Importantly, while generative AI is currently the largest source of demand for Nvidia AI infrastructure, the company is well positioned to benefit as the physical AI boom unfolds. Physical AI refers to autonomous machines like cars and robots that understand, interact with, and navigate the real world. "We're working toward a day where there will be billions of robots, hundreds of millions of autonomous vehicles, and hundreds of thousands of robotic factories that can be powered by Nvidia technology," Jensen Huang explained to shareholders last month. So, can Nvidia reach $410 per share by 2030? I think so. That implies annual returns of 18%. Grand View Research estimates AI spending will increase at 36% annually through the end of the decade, which means Nvidia could achieve similar annual earnings growth. In that scenario, the stock could hit $410 per share in late 2030 at a reasonable valuation of 22 times earnings. For context, the stock currently trades at 53 times earnings, which itself is a substantial discount to the three-year average of 80 times earnings. Tesla: 735% implied upside Ark Invest analysts led by Tasha Keeney expect Tesla to trade at $2,600 per share by 2029, which implies a market value of $8.3 trillion. Their investment thesis centers on robotaxis, which are expected to account for 63% of revenue by the end of that period. Meanwhile, electric cars (26%), energy storage (10%), and insurance (1%) will comprise the remaining portion. While Alphabet 's Waymo is currently the market leader, Tesla theoretically has an edge in autonomous driving technology. Its full self-driving (FSD) software is powered entirely by computer vision, rather than a costly array of lidar, radar, and cameras like Waymo. For context, Tesla says its dedicated robotaxi (the Cybercab) will cost less than $30,000, but Waymo sensors alone can cost as much as $100,000. Also, Tesla has more camera-equipped vehicles on the road collecting data than every other automaker combined. That data advantage should translate into better AI models. Indeed, Ark Invest says Teslas in FSD mode can drive 3,200 miles per crash on surface streets, which makes them an estimated 16 times safer than an average driver and six times safer than Waymo. Tesla recently started its first autonomous ride-sharing service in Austin, Texas. CEO Elon Musk says robotaxis could be a material source of revenue by late next year, and he thinks Tesla will eventually have 99% market share in what could be a multitrillion-dollar industry. Indeed, Tom Narayan at RBC Capital estimates marketwide robotaxi revenue will reach $1.7 trillion by 2040. While that outcome is plausible, I would be remiss not to mention Tesla's woes. It has lost substantial market share in electric cars in the past year due to its aging product lineup and Elon Musk's political activities. In fact, Tesla deliveries dropped 13% in the first and second quarters, despite a 35% increase in global electric car sales year to date through May, according to Morgan Stanley. So, can Tesla reach $2,600 per share by 2029? I doubt it. While I think autonomous driving technology will be a big catalyst for the company, Ark's target price implies the stock will return 60% annually over the next four-plus years. That means Tesla's earnings would need to increase at 60% annually during the same period just to maintain its already-expensive valuation of 170 times earnings. Should you invest $1,000 in Nvidia right now? Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $674,432!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,005,854!* Now, it's worth noting Stock Advisor 's total average return is1,049% — a market-crushing outperformance compared to180%for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of July 7, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Trevor Jennewine has positions in Nvidia and Tesla. The Motley Fool has positions in and recommends Alphabet, Nvidia, and Tesla. The Motley Fool has a disclosure policy.
