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This was apparently AI race week and Google, Nvidia, AT&T, Siemens and your local retailer were all there. On the pole position, Google held an AI event on Wednesday. In addition to announcing the company’s recent advancements in AI technology, CEO Sundar Pichai advocated: responsible AIsaying, “We see so many opportunities in the future and are committed to ensuring that the technology is built to help people, like any transformational technology.”
Nvidia is joining the voice AI race (currently dominated by Google and Meta) by partnering with Mozilla Common Voice. The purpose of the partnership is to use crowdsourced content to build automatic speech recognition models that can work universally for language speakers around the world.
“Demographic diversity is key to capturing language diversity,” said Caroline de Brito Gottlieb, product manager at Nvidia, “…we strive to create a dataset ecosystem that helps communities build speech datasets and models for any language or context.”
Speaking of AI and races, AT&T has become a surprising contender in the AI as a service market. Perhaps unsurprisingly — as a legacy company, AT&T had a lot of legacy tech debt to handle. So when the company modernized its tech stack, it took those lessons and turned it into a process to package and sell to other companies.
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Siemens was also able to achieve strong growth (as in $5 billion over two years strong) by converting its products into subscription services. Over the past two years, Siemens has digital twin portfolio to a industrial metaverse cloud platform and now offers it as SaaS. Most companies expect to experience a temporary loss of revenue as they transition to a new business model, but Siemens took advantage of what Cedrik Neike, CEO of Siemens Digital Industries, called “the ketchup bottle effect.”
Here’s more of our top 5 tech stories of the week:
Siemens Digital Industries has grown revenue from approximately $15 billion per year to $20 billion within just two years of transitioning from its digital twin portfolio to an industrial metaverse cloud called Siemens Xcelerator.
Siemens has one of the most comprehensive portfolios of simulation, optimization, testing and design tools to link digital twins. For example, the PLCs in the factory generate terabytes of data that can calibrate a digital manufacturing twin with live data from the factory floor. This can help teams look for bottlenecks and spot quality flaws.
“Everyone was talking about automation and digital twins, but now they’re investing in it,” said Cedrik Neike, CEO of Siemens Digital Industries.
At a Google AI event at the company’s Pier 57 offices in New York City, Google announced several advancements in artificial intelligence (AI), including generative AI, language translation, health AI, and disaster management.
The event also focused heavily on a discussion of efforts to build responsible AI, particularly with regard to control and security, helping identify generative AI, and building for all.
At Nvidia’s Speech AI Summit this week, the company announced its new speech artificial intelligence (AI) ecosystem, which it developed through a partnership with Mozilla Common Voice.
The ecosystem focuses on developing crowdsourced multilingual speech corpus and open-source pre-trained models. Nvidia and Mozilla Common Voice want to accelerate the growth of automatic speech recognition models that work universally for every language speaker worldwide.
A year ago, AT&T, the world’s largest telecom company, announced a partnership with AI cloud company H2O to jointly launch an artificial intelligence (AI) feature store for enterprises.
Since then, the feature store has become a key part of AT&T’s vision to scale its own AI efforts across the organization and “really integrate data and AI into the core of how we run the business,” Andy Markus, AT&T’s chief data officer, VentureBeat told me.
Checkoutless POS and inventory management tools, powered by AI and computer vision, are on the rise. Different companies, both big tech and startups, have taken different approaches in recent years, using cameras and sensors to identify items and make phone calls – allowing the customer to quickly grab items off the shelf and leave without queuing. to stand.
Even as the economy slows, investors are showing no signs of pulling back investment in this sector. Major funding rounds are still making news, including Tel Aviv-based Trigo, which last week announced a $100 million investment in Series C, bringing total funding to about $199 million, according to Crunchbase.
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