OpenAI has announced the opening of a new office in Tokyo to drive its expansion into the Asian mark
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OpenAI has announced the opening of a new office in Tokyo to drive its expansion into the Asian market.
The new office aims to foster collaboration with the Japanese government, local businesses, and research institutions to develop AI tools tailored to Japan’s unique requirements.
Tokyo was selected for OpenAI’s first Asian venture due to its global leadership in technology, a culture dedicated to service, and an innovative community.
“We’re excited to be in Japan which has a rich history of people and technology coming together to do more,” explained Sam Altman, CEO of OpenAI. “We believe AI will accelerate work by empowering people to be more creative and productive, while also delivering broad value to current and new industries that have yet to be imagined.”
To ensure effective engagement within the local community and spearhead OpenAI’s initiatives in Japan, Tadao Nagasaki has been welcomed as the president of OpenAI Japan. Nagasaki’s role will involve leading commercial and market engagement efforts and building a local team to progress global affairs, go-to-market, communications, operations, and other functions catered to Japan.
OpenAI is granting local businesses early access to a customised GPT-4 model optimised for the Japanese language. This custom model boasts enhanced performance in translating and summarising Japanese text, offers cost-effectiveness, and operates up to three times faster than its predecessor. 
Speak – a leading English learning app in Japan – reportedly benefits from faster tutor explanations in Japanese with a significant reduction in token cost, facilitating improved quality of tutor feedback across more applications with higher limits per user.
The new office positions OpenAI closer to major businesses such as Daikin, Rakuten, and TOYOTA Connected, which are leveraging ChatGPT Enterprise to streamline complex business operations, assist in data analysis, and improve internal reporting.
Local governments, including Yokosuka City, are adopting the technology to enhance public service efficiency. Yokosuka City has notably expanded ChatGPT access to nearly all city employees, with 80 percent reporting productivity gains.
The Japanese government’s role as a leading voice in AI policy – especially after chairing the Hiroshima AI Process – aims to foster AI development aligned with human dignity, diversity, and inclusion, and sustainable societies. OpenAI seeks to contribute to the local ecosystem and explore AI solutions for societal challenges, such as rural depopulation and labour shortages, within the region.
OpenAI’s expansion into Japan highlights its global mission to ensure artificial general intelligence benefits all of humanity, underlining the importance of incorporating diverse perspectives.
(Photo by Jezael Melgoza)
See also: US and Japan announce sweeping AI and tech collaboration

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
Explore other upcoming enterprise technology events and webinars powered by TechForge here.
Tags: asia, japan, openai

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的更多资讯感兴趣，可以查看更多AI文章：GPTNB。

On 1 April, the same day California’s new $20 hourly minimum wage for fast-food workers went into ef
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On 1 April, the same day California’s new $20 hourly minimum wage for fast-food workers went into effect, a new restaurant opened in north-east Los Angeles that was conspicuously light on human staff.Workplace AI, robots and trackers are bad for quality of life, study findsRead moreCaliExpress by Flippy claims to be the world’s first fully autonomous restaurant, using a system of AI-powered robots to churn out fast-food burgers and fries. A small number of humans are still required to push the buttons on the machines and assemble the burgers and toppings, but the companies involved tout that using their technology could cut labor costs, perhaps dramatically. “Eat the future,” they offer.I visited CaliExpress last week to find out what an all-American lunch served with a side of existential dread tastes like. When I entered the restaurant, located near Caltech university in Pasadena, I was greeted with giant posters advertising the “frying AI robot marvel”, but few actual customers. Most of the people inside were other journalists. A television crew hovered over the grill machine.The space was decorated with early prototypes of robot arms, as well as a riff on Michelangelo’s Sistine Chapel, with a human hand reaching out not to the hand of God, but to a robot claw holding french fries.One of the first things I see l is this sign offering me $10 off if I sign up with this facial recognition system to “pay with just a smile.” pic.twitter.com/ZxLtLeHWCU— Lois Beckett (@loisbeckett) April 12, 2024I placed my order at a self-serve screen, where my robot-made cheeseburger and fries cost $15 plus tax. A sign urged me to “pay with my face”, offering me $10 to enroll with a company called PopID to link my face to my credit or debit card. “Pay with just a smile!” it urged. I did not.The burger joint is a collaboration between multiple companies using it as a “test kitchen” for the future of fast-food technology. The machine for making the burgers is produced by Cucina, a company focused on automating food production, which described its “BurgerChef” as a solution to a “65% increase in food service wages in the past 15 years”. The french fry-making robot, Flippy, was created by Miso Robotics, a local startup founded by a group of Caltech grads.I was offered a tour of the kitchen by Denise Koons, who works with PopID, the “biometric ordering” facial recognition company. She demonstrated the various stages of my order. She pushed a button on a nearby screen. The BurgerChef ground a single burger’s worth of wagyu steak to order and then squeezed it out from a tube and tucked it between two metal plates to brown. One hundred and ninety-five seconds later, a plastic arm rotated to receive the browned burger, ultimately dropping the meat into a waiting container.I got to go behind the counter in the kitchen to film the steps closer up. This is the grill bot, “BurgerChef” by Cucina, starting the process of cooking a single burger pic.twitter.com/xIzoCo6Yks— Lois Beckett (@loisbeckett) April 12, 2024The BurgerChef was a large, boxy piece of equipment that felt no more threatening than a toaster oven, and was not particularly exciting to watch. Flippy, however, was the real star of the place, and absolutely terrifying.It was just humanoid enough to be disturbing, with one big, snake-like arm extending down from the ceiling, poised over a frying station protected behind a transparent window. Another press of a button, and the arm jerked up a waiting metal fry basket and maneuvered it to one side, where a predetermined amount of frozen potato slices tumbled down into the basket. Then Flippy dunked the basket into the sizzling oil, and we waited.The real star of the show is Flippy, the robotic arm with “computer vision” that fries the fries pic.twitter.com/1dh7oDW8hv— Lois Beckett (@loisbeckett) April 12, 2024Flippy was originally conceived as a grill-master robot that could flip burgers, hence the name, Rob Anderson, one of the co-founders of Miso Robotics, told me later. But manning a grill – keeping track of burgers and cheese and buns and onions, and being able to flip the different objects at the proper time – turned out to be a tremendously sophisticated robotics problem, one too tricky for the startup to tackle, he said. So they decided to pivot to a simpler challenge: making a robot that could manage a frying station, what Anderson argued was “probably the most stressful and dangerous tasks in the kitchen” for human workers, and thus a good task for a robot, which would not be burned by hot oil or bothered by the heat.As I watched a giant metal arm encased in rubber pick up the fry basket again and shake it roughly, I had only one thought: the future of sex robots is going to be very unpleasant.What does AI actually do?It wasn’t clear to me how the restaurant differed from other robot-assisted operations, of which there are now many across California and the US. So I followed up with Anderson to find out how exactly AI was being put to use.He explained that Flippy’s AI components were designed for subtle and difficult tasks, such as adjusting to differently sized kitchens and ranges. It also had computer vision, a type of artificial intelligence that uses machine learning and neural networks to allow computers to act on visual inputs, like photos or videos, in the way that humans respond to sight. Flippy’s computer vision was continuously monitoring where the fry baskets were placed, so if a human worker replaced one in a slightly different spot, the machine would simply adjust.The robot wasn’t limited to french fries: it could also fry chicken wings and onion rings, and could detect when onions had been place inside the fryer, rather than potatoes, and adjust its fry times automatically, he said. Artificial intelligence also informed the robot’s “scheduling and forecasting” abilities, like deciding “what is the right order to cook all this food so it’s still cooked perfectly” during the lunch hour rush or slower times in the afternoon.View image in fullscreenFlippy, a robot with the ability to cook burgers and fries. Photograph: Courtesy of Miso RoboticsFlippy was not designed to replace human workers completely, but to be a “tool” to make their work easier and safer, Anderson said.“It’s very much this collaborative setup,” he said, adding that working alongside robots would teach people “new skills” that are “more career growth oriented, rather than just learning how to cook french fries”.I asked Anderson what those skills would be, other than knowing how to push buttons.While Flippy’s interface was designed to be very simple, Anderson said, employees would have to master “how it works, how to clean it, how to keep it operating”, and how to get in touch with the robotics support line when it might need service or repairs. Flippy could not clean itself: it needed wipe-downs every night, and more intensive cleanings monthly and quarterly. Human employees could also do “more customer engagement work”, he said. “You don’t just have to sit there and monitor a fryer.”Flippy-style fryers were already at work in multiple locations of fast-food outlets including White Castle and Jack in the Box, Anderson told me: “We’ve got a fleet of robots out there.”Tasting the resultsSo, after all the hype, how good were the robot-made burgers and fries?The robot burger, despite its higher-quality In-N-Out burger-style house sauce and fresh lettuce and tomato, was thoroughly mediocre. The beef was a little rubbery. Flippy’s fries, I admit, were crispy and nicely browned, not the limp potato offerings that often emerge from fast-food restaurants. I ate them happily, but did not crave more.View image in fullscreenA still image from CaliExpress’s YouTube video. Photograph: YouTubeBeef burgers and fries are the only options currently on the menu. One of the lone ordinary customers who came in during my visit asked some questions, but left without ordering. (He told me he wanted a veggie burger.) Another man walked in while talking on his cellphone, took a look around, and walked out again.After I left CaliExpress, I found myself driving to the closest McDonald’s, where I ordered another cheeseburger prepared by other humans. It was smaller, and the ingredients were clearly cheaper, but I found myself savoring the well-honed flavors of this drive-through classic.And I had set a timer: the humans had taken only one minute and 26 seconds to deliver a fresh burger into my hands. I felt my shoulders relaxing as I took a bite: so far, the humans were still faster than the machines.Explore more on these topicsArtificial intelligence (AI)Fast foodRobotsFoodComputingCaliforniafeaturesShareReuse this content

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的更多资讯感兴趣，可以查看更多AI文章：GPTNB。

On 1 April, the same day California’s new $20 hourly minimum wage for fast-food workers went into ef
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On 1 April, the same day California’s new $20 hourly minimum wage for fast-food workers went into effect, a new restaurant opened in north-east Los Angeles that was conspicuously light on human staff.Workplace AI, robots and trackers are bad for quality of life, study findsRead moreCaliExpress by Flippy claims to be the world’s first fully autonomous restaurant, using a system of AI-powered robots to churn out fast-food burgers and fries. A small number of humans are still required to push the buttons on the machines and assemble the burgers and toppings, but the companies involved tout that using their technology could cut labor costs, perhaps dramatically. “Eat the future,” they offer.I visited CaliExpress last week to find out what an all-American lunch served with a side of existential dread tastes like. When I entered the restaurant, located near Caltech university in Pasadena, I was greeted with giant posters advertising the “frying AI robot marvel”, but few actual customers. Most of the people inside were other journalists. A television crew hovered over the grill machine.The space was decorated with early prototypes of robot arms, as well as a riff on Michelangelo’s Sistine Chapel, with a human hand reaching out not to the hand of God, but to a robot claw holding french fries.One of the first things I see l is this sign offering me $10 off if I sign up with this facial recognition system to “pay with just a smile.” pic.twitter.com/ZxLtLeHWCU— Lois Beckett (@loisbeckett) April 12, 2024I placed my order at a self-serve screen, where my robot-made cheeseburger and fries cost $15 plus tax. A sign urged me to “pay with my face”, offering me $10 to enroll with a company called PopID to link my face to my credit or debit card. “Pay with just a smile!” it urged. I did not.The burger joint is a collaboration between multiple companies using it as a “test kitchen” for the future of fast-food technology. The machine for making the burgers is produced by Cucina, a company focused on automating food production, which described its “BurgerChef” as a solution to a “65% increase in food service wages in the past 15 years”. The french fry-making robot, Flippy, was created by Miso Robotics, a local startup founded by a group of Caltech grads.I was offered a tour of the kitchen by Denise Koons, who works with PopID, the “biometric ordering” facial recognition company. She demonstrated the various stages of my order. She pushed a button on a nearby screen. The BurgerChef ground a single burger’s worth of wagyu steak to order and then squeezed it out from a tube and tucked it between two metal plates to brown. One hundred and ninety-five seconds later, a plastic arm rotated to receive the browned burger, ultimately dropping the meat into a waiting container.I got to go behind the counter in the kitchen to film the steps closer up. This is the grill bot, “BurgerChef” by Cucina, starting the process of cooking a single burger pic.twitter.com/xIzoCo6Yks— Lois Beckett (@loisbeckett) April 12, 2024The BurgerChef was a large, boxy piece of equipment that felt no more threatening than a toaster oven, and was not particularly exciting to watch. Flippy, however, was the real star of the place, and absolutely terrifying.It was just humanoid enough to be disturbing, with one big, snake-like arm extending down from the ceiling, poised over a frying station protected behind a transparent window. Another press of a button, and the arm jerked up a waiting metal fry basket and maneuvered it to one side, where a predetermined amount of frozen potato slices tumbled down into the basket. Then Flippy dunked the basket into the sizzling oil, and we waited.The real star of the show is Flippy, the robotic arm with “computer vision” that fries the fries pic.twitter.com/1dh7oDW8hv— Lois Beckett (@loisbeckett) April 12, 2024Flippy was originally conceived as a grill-master robot that could flip burgers, hence the name, Rob Anderson, one of the co-founders of Miso Robotics, told me later. But manning a grill – keeping track of burgers and cheese and buns and onions, and being able to flip the different objects at the proper time – turned out to be a tremendously sophisticated robotics problem, one too tricky for the startup to tackle, he said. So they decided to pivot to a simpler challenge: making a robot that could manage a frying station, what Anderson argued was “probably the most stressful and dangerous tasks in the kitchen” for human workers, and thus a good task for a robot, which would not be burned by hot oil or bothered by the heat.As I watched a giant metal arm encased in rubber pick up the fry basket again and shake it roughly, I had only one thought: the future of sex robots is going to be very unpleasant.What does AI actually do?It wasn’t clear to me how the restaurant differed from other robot-assisted operations, of which there are now many across California and the US. So I followed up with Anderson to find out how exactly AI was being put to use.He explained that Flippy’s AI components were designed for subtle and difficult tasks, such as adjusting to differently sized kitchens and ranges. It also had computer vision, a type of artificial intelligence that uses machine learning and neural networks to allow computers to act on visual inputs, like photos or videos, in the way that humans respond to sight. Flippy’s computer vision was continuously monitoring where the fry baskets were placed, so if a human worker replaced one in a slightly different spot, the machine would simply adjust.The robot wasn’t limited to french fries: it could also fry chicken wings and onion rings, and could detect when onions had been place inside the fryer, rather than potatoes, and adjust its fry times automatically, he said. Artificial intelligence also informed the robot’s “scheduling and forecasting” abilities, like deciding “what is the right order to cook all this food so it’s still cooked perfectly” during the lunch hour rush or slower times in the afternoon.View image in fullscreenFlippy, a robot with the ability to cook burgers and fries. Photograph: Courtesy of Miso RoboticsFlippy was not designed to replace human workers completely, but to be a “tool” to make their work easier and safer, Anderson said.“It’s very much this collaborative setup,” he said, adding that working alongside robots would teach people “new skills” that are “more career growth oriented, rather than just learning how to cook french fries”.I asked Anderson what those skills would be, other than knowing how to push buttons.While Flippy’s interface was designed to be very simple, Anderson said, employees would have to master “how it works, how to clean it, how to keep it operating”, and how to get in touch with the robotics support line when it might need service or repairs. Flippy could not clean itself: it needed wipe-downs every night, and more intensive cleanings monthly and quarterly. Human employees could also do “more customer engagement work”, he said. “You don’t just have to sit there and monitor a fryer.”Flippy-style fryers were already at work in multiple locations of fast-food outlets including White Castle and Jack in the Box, Anderson told me: “We’ve got a fleet of robots out there.”Tasting the resultsSo, after all the hype, how good were the robot-made burgers and fries?The robot burger, despite its higher-quality In-N-Out burger-style house sauce and fresh lettuce and tomato, was thoroughly mediocre. The beef was a little rubbery. Flippy’s fries, I admit, were crispy and nicely browned, not the limp potato offerings that often emerge from fast-food restaurants. I ate them happily, but did not crave more.View image in fullscreenA still image from CaliExpress’s YouTube video. Photograph: YouTubeBeef burgers and fries are the only options currently on the menu. One of the lone ordinary customers who came in during my visit asked some questions, but left without ordering. (He told me he wanted a veggie burger.) Another man walked in while talking on his cellphone, took a look around, and walked out again.After I left CaliExpress, I found myself driving to the closest McDonald’s, where I ordered another cheeseburger prepared by other humans. It was smaller, and the ingredients were clearly cheaper, but I found myself savoring the well-honed flavors of this drive-through classic.And I had set a timer: the humans had taken only one minute and 26 seconds to deliver a fresh burger into my hands. I felt my shoulders relaxing as I took a bite: so far, the humans were still faster than the machines.Explore more on these topicsArtificial intelligence (AI)Fast foodRobotsFoodComputingCaliforniafeaturesShareReuse this content

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的更多资讯感兴趣，可以查看更多AI文章：GPTNB。

Shares of the former president Donald Trump’s social media company slumped 12% on Monday, extending
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Shares of the former president Donald Trump’s social media company slumped 12% on Monday, extending their string of losses, after the company said in a regulatory filing that it could sell millions of additional shares in coming months.The filing showed a potential sale of 146.1m shares in Trump Media & Technology Group, including 114.8m shares owned by Trump himself. Documents also listed an additional 21.5m shares that could be sold upon the exercise of certain warrants issued when the company went public through a blank-check merger with Digital World Acquisition Corp.Shares of the Truth Social parent company have retreated sharply since their market debut on 26 March, falling 60% from the opening price of $70.90. Trump is subject to a lockup agreement that prevents him from personally selling his shares until September, further tying his wealth to the company’s market value. If the price holds, he could reap billions of dollars from his shares.Trump, the presumed Republican 2024 nominee, started his criminal trial on Monday in a Manhattan court as the stock dipped. He is facing 34 felony counts of falsifying business records related to hush-money payments to the adult film star Stormy Daniels. It is the first criminal trial of an American president, and the proceedings are expected to last about six weeks.Trump is under significant financial pressure after a series of legal woes in the past year. He owes about $500m as a result of being found liable in civil fraud, defamation and sexual abuse cases. Trump Media, which was backed by some of the former president’s biggest political donors, has offered him a future lifeline and source of income to pay off those debts.skip past newsletter promotionSign up to Trump on TrialFree newsletterStay up to date on all of Donald Trump’s trials. Guardian staff will send weekly updates each Wednesday – as well as bonus editions on major trial days.Enter your email address Sign upPrivacy Notice: Newsletters may contain info about charities, online ads, and content funded by outside parties. For more information see our Privacy Policy. We use Google reCaptcha to protect our website and the Google Privacy Policy and Terms of Service apply.after newsletter promotionEarlier this month, several Democratic-aligned groups called on Congress to investigate Trump Media amid a flurry of news about the firm’s dubious hangers-on. Two Florida brothers pleaded guilty at the beginning of April to insider trading related to the ex-president’s social media company. Meanwhile, the Guardian reported that the company was kept afloat by loans from a Russian-American businessman who is under federal investigation for money laundering and insider trading.Explore more on these topicsTechnologyDonald TrumpSocial mediaDigital medianewsShareReuse this content

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的更多资讯感兴趣，可以查看更多AI文章：GPTNB。

Google has temporarily blocked links from local news outlets in California from appearing in search
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Google has temporarily blocked links from local news outlets in California from appearing in search results in response to the advancement of a bill that would require tech companies to pay publications for links that articles share. The change applies only to some people using Google in California, though it is not clear how many.The California Journalism Preservation Act (CJPA) would require large online platforms to pay a “journalism usage fee” for linking to news sites based in the Golden state. The bill cleared the California assembly in 2023. To become law, it would need to pass in the senate before being signed by the governor, Gavin Newsom.Misleading clickbait is prevalent on Facebook and Instagram in Canada after Meta’s news ban. Could it happen in Australia?Read moreIn a blogpost published on Friday, Jaffer Zaidi, Google’s head of global news partnerships, explained that the company was experimenting with removing local news links for a “small percentage” of California users in preparation for the bill potentially passing.“We don’t take these decisions lightly and want to be transparent with California publishers, lawmakers and our users,” he said. “To avoid an outcome where all parties lose and the California news industry is left worse off, we urge lawmakers to take a different approach.”Google will also suspend “further investments in the California news ecosystem”, the blogpost said, cutting California publications from its Google News Showcase, a feature that pushes stories to users in a streamlined feed in an effort to boost traffic to publishers.In May 2023, in response to the California legislation, Meta said it would be forced to remove news content from Facebook and Instagram “rather than pay into a slush fund that primarily benefits big, out-of-state media companies”. The company has not yet followed through on those statements, and did not immediately respond to request for comment.The California bill is meant to support the local journalism industry, which has been gutted in recent decades in part due to the rise of social media and other online means of accessing news. But media equity advocates say that the legislation is misguided, and stands to benefit larger publishers over smaller outlets that are seeing more drastic impacts.A study conducted by Free Press Action, a media-reform advocacy group, found in a November report that more than 80% of the websites that would benefit from the reimbursement mandated by the bill are owned by just 20 major firms. Media conglomerates like News Corp and Gannett stand to benefit from the proposed measure, according to the study. Because of this, major social media companies have lobbied heavily against the legislation.“It’s a Google versus corporate media fight, and in the end California residents are the ones being harmed,” said Mike Rispoli, senior director at Free Press Action. “It speaks to real challenges facing local news today when how the news is created and how it is accessed is controlled by these large corporations that are just looking after themselves.”The California bill is the latest to challenge big tech firms over their impact on news publishers. Meta, Facebook’s parent company, and Alphabet, Google’s parent company, have battled similar legislation in Australia and Canada. That fight came to a head in Canada when Meta turned off news services in the country in 2023, in the midst of a wildfire crisis. The blockade on links to news in Canada is ongoing.Meta has also continued to scale back its news services in Australia after the country passed a bill in 2021 forcing social media firms to pay publishers for content shared on their platforms. In March it escalated the battle with lawmakers there by stating it would stop paying publishers there for content.Similar legislation is being considered in Illinois. Introduced in February 2024, the Journalism Preservation act would require social media firms to pay a fee based on how many times per month they link to a news outlet’s work.Explore more on these topicsGoogleCaliforniaAlphabetMetaFacebookInstagramnewsShareReuse this content

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的最新发展感兴趣，可以查看更多AI文钊文章：GPTNB。

感谢阅读！如果您对AI的更多资讯感兴趣，可以查看更多AI文章：GPTNB。

A recent survey reveals that CMOs around the world are optimistic and confident about GenAI’s future
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A recent survey reveals that CMOs around the world are optimistic and confident about GenAI’s future ability to enhance productivity and create competitive advantage. Seventy per cent are already using GenAI and 19 per cent are testing it. And the main areas they’re exploring are personalisation (67%), content creation (49%) and market segmentation (41%).
However, for many consumer brands, the divide between expectations and reality looms large. Marketers envisioning a seamless, magical customer experience must recognise that AI’s effectiveness depends on high-quality underlying data. Without that, the AI falls flat, leaving marketers grappling with a less-than-magical reality.
AI-powered marketing fail
Let’s take a closer look at what AI-powered marketing with poor data quality could look like. Say I’m a customer of a general sports apparel and outdoor store, and I’m planning for my upcoming annual winter ski trip. I’m excited to use the personal shopper AI to give me an experience that’s easy and customised to me.
I need to fill in some gaps in my ski wardrobe, so I ask the personal shopper AI to suggest some items to purchase. But the AI is creating its responses based on data about me that’s been scattered across the brand’s multiple systems. Without a clear picture of who I am, it asks me for some basic information that it should already know. Slightly annoying… I’m used to entering my info when I shop online, but I was hoping the AI upgrade to the experience would make things easier for me. 
Because my data is so disconnected, the AI concierge only has an order associated with my name from two years ago, which was actually a gift. Without a full picture of me, this personal shopper AI is unable to generate accurate insights and ends up sharing recommendations that aren’t helpful.
Ultimately this subpar experience makes me less excited about purchasing from this brand, and I decide to go elsewhere. 
The culprit behind a disconnected and impersonal generative AI experience is data quality — poor data quality = poor customer experience. 
AI-powered marketing for the win
Now, let’s revisit this outdoor sports retailer scenario, but imagine that the personal shopper AI is powered by accurate, unified data that has a complete history of my interactions with the brand from first purchase to last return. 
I enter my first question, and I get a super-personalised and friendly response, already starting to create the experience of a one-on-one connection with a helpful sales associate. It automatically references my shopping history and connects my past purchases to my current shopping needs. 
Based on my prompts and responses, the concierge provides a tailored set of recommendations to fill in my ski wardrobe along with direct links to purchase. The AI is then able to generate sophisticated insights about me as a customer and even make predictions about the types of products I might want to buy based on my past purchases, driving up the likelihood of me purchasing and potentially even expanding my basket to buy additional items. 
Within the experience, I am able to actually use the concierge to order without having to navigate elsewhere. I also know my returns or any future purchases will be incorporated into my profile. 
Because it knew my history and preferences, Generative AI was able to create a buying experience for me that was super personalised and convenient. This is a brand I will keep returning to for future purchases.
In other words, when it comes to AI for marketing, better data = better results.
So how do you actually address the data quality challenge? And what could that look like in this new world of AI?
Solving the data quality problem
The critical first element to powering an effective AI strategy is a unified customer data foundation. The tricky part is that accurately unifying customer data is hard due to its scale and complexity — most consumers have at least two email addresses, have moved over eleven times in their lifetimes and use an average of five channels (or if they are millennials or Gen Z, it’s actually twelve channels).
Many familiar approaches to unifying customer data are rules-based and use deterministic/fuzzy matching, but these methods are rigid and break down when data doesn’t match perfectly. This, in turn, creates an inaccurate customer profile that can actually miss a huge portion of a customer’s lifetime history with the brand and not account for recent purchases or changes of contact information. 
A better way to build a unified data foundation actually involves using AI models (a different flavour of AI than generative AI for marketing) to find the connections between data points to tell if they belong to the same person with the same nuance and flexibility of a human but at massive scale. 
When your customer data tools can use AI to unify every touchpoint in the customer journey from first interaction to last purchase and beyond (loyalty, email, website data, etc…), the result is a comprehensive customer profile that tells you who your customers are and how they interact with your brand. 
How data quality in generative AI drives growth
For the most part, marketers have access to the same set of generative AI tools, therefore, the fuel you input will become your differentiator. 
Data quality to power AI provides benefits in three areas: 

Customer experiences that stand out — more personalised, creative offers, better customer service interactions, a smoother end-to-end experience, etc.
Operational efficiency gains for your teams — faster time to market, less manual intervention, better ROI on campaigns, etc.
Reduced compute costs — better-informed AI doesn’t need to go back and forth with the user, which saves on racking up API calls that quickly get expensive

As generative AI tools for marketing continue to evolve, they bring the promise of getting back to the level of one-to-one personalisation that customers would expect in their favourite stores, but now at a massive scale. That won’t happen on its own, though — brands need to provide AI tools with accurate customer data to bring the AI magic to life.
The dos and don’ts of AI in marketing
AI is a helpful sidekick to many industries, especially marketing — as long as it’s leveraged appropriately. Here’s a quick ‘cheat-sheet’ to help marketers on their GenAI journey:
Do:

Be explicit about the specific use cases where you plan to use data and AI and specify the expected outcomes. What results do you expect to achieve?
Carefully evaluate if Gen AI is the most appropriate tool for your specific use case.
Prioritise data quality and comprehensiveness — establishing a unified customer data foundation is essential for an effective AI strategy.

Don’t:

Rush to implement GenAI across all areas. Start with a manageable, human-in-the-loop use case, such as generating subject lines.

(Editor’s note: This article is sponsored by Amperity)
Tags: ai, data, genai, generative ai, marketing

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Ansys今日宣布推出其AI驱动的虚拟助手——AnsysGPT。基于ChatGPT技术构建，该虚拟助手融合了Ansys工程师的专业知识与AI的强大力量，为用户提供快速、全天候的客户支持服务。AnsysGPT利用Ansys数据训练，能够在几秒钟内为客户提供最紧迫的工程问题的有用回答。

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主要亮点

• 全天候专业支持： AnsysGPT™作为Ansys人工智能产品家族的一员，提供精选的Ansys知识、全天候用户支持和广泛的多物理领域专业知识。
• 定制化知识库： 新工具采用高级数据工程技术，索引Ansys产品组合中的信息，形成定制的知识库。
• 扩展知识库： 自测试版发布以来，AnsysGPT的知识库增长了30倍，提供了更广泛、更深入的产品组合，以提高响应的准确性和实用性。

AnsysGPT通过提供一个安全、易用的界面，帮助现有团队为客户提供24/7的虚拟助手服务，用于咨询有关Ansys产品、相关物理及其他复杂工程主题的问题。设计师和工程师可以用多种常用语言实时接收回复，帮助他们简化模拟设置，浏览相关学习机会等。

该工具的更新版本经过了对响应准确性、性能和数据合规性的严格测试。AnsysGPT汇集了包括产品文档、产品和工程相关培训文档、常见问题解答、技术营销材料以及公开的Ansys学习论坛讨论等新的公共来源的知识。此外，升级后的基础设施提供了增强的安全性和可扩展性，以容纳成千上万的用户。

用户反馈

“对于初学者和经验丰富的工程师来说，复杂的模拟设置可能都很困难，但AnsysGPT的实用性不容小觑，”罗马尼亚大陆汽车的高级热模拟工程师Eugen Dinca表示，“它使用方便、可靠，并能迅速显示相关准确信息。例如，我的查询得到了包括相关文档链接在内的所有必要信息。”

官方声明

Ansys的客户卓越副总裁Anthony Dawson表示：“AnsysGPT的发布标志着为Ansys客户提供变革性AI驱动技术支持途径的可用性。AnsysGPT是一个辅助工具，赋予客户独立找到复杂问题答案的能力。这次发布在响应准确性、性能、数据安全性和用户合规性方面均有显著提高，为用户提供了对他们最重要的工程问题的准确、快速回答。”

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Artificial Intelligence is revolutionizing the marketing industry by enabling more precise customer
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Artificial Intelligence is revolutionizing the marketing industry by enabling more precise customer segmentation and tailored marketing strategies that can significantly increase conversion rates and customer satisfaction. AI’s ability to analyze large datasets with high accuracy and speed allows companies to target their audiences more effectively and predict future trends with greater confidence. This marks a significant shift in how marketing strategies are developed and executed, paving the way for more dynamic and responsive marketing approaches that can keep pace with the rapid changes in consumer behavior and market conditions.

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以ChatGPT为蓝本的Suno AI正在社交媒体上掀起热潮，尽管其歌词略显滑稽，却也备受关注。

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Suno AI简介

被誉为音乐界的ChatGPT，Suno AI是最新一代的生成式人工智能产品，它可以在几秒钟内根据用户的风格和歌词提示创作出完整的歌曲。据《滚石》杂志上个月的报道，这个项目由一群在剑桥的机器学习专家发起，他们对音频技术产生了浓厚的兴趣。

功能和应用

Suno AI能够以用户所选择的音乐风格生成歌曲，其歌词虽然简单，有时甚至略显无聊，但往往也因其幽默而令人难忘。例如，当被要求创作一首关于晨间咖啡的力量歌曲时，Suno创作出了这样的歌词：“咖啡，你是我灵魂的燃料/没有你，我感觉如此寒冷”。此外，还有关于澳大利亚《卫报》的广告歌曲，展现了其调侃新闻行业的一面。

创始团队的愿景

Suno的共同创始人Mikey Shulman在接受《滚石》采访时表示，Suno的目的并非取代艺术家，而是通过让音乐创作变得更加易于接触，来让更多人享受音乐创作的乐趣。

争议与法律挑战

尽管Suno AI承诺在每首生成的歌曲中嵌入不可听见的水印，以便识别AI音乐，但其是否使用了受版权保护的材料进行训练仍是外界关注的焦点。近日，多位著名艺术家如Elvis Costello和Billie Eilish签署了一封公开信，呼吁AI公司承诺不开发可能削弱或取代歌曲创作者和艺术家角色的技术。

市场前景

未来，音乐流媒体平台是否会对AI生成的音乐设置限制，仍是一个值得关注的问题。目前，至少Spotify似乎倾向于允许不直接抄袭艺术家风格的AI生成音乐。

结论

随着技术的不断进步，AI在音乐创作领域的应用将继续引发热议。Suno AI是否会成为音乐创作的新趋势，或将由市场和法律的双重影响最终决定。对于音乐爱好者和创作者而言，这是一个既充满机遇也充满挑战的新时代。

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OpenAI宣布其强大的GPT-4 Turbo with Vision模型现已通过公司API普遍可用，为企业和开发者整合先进的语言和视觉能力到他们的应用中开辟了新的机会。此次推出是在去年九月初次发布GPT-4的视觉和音频上传功能之后，以及在十一月OpenAI开发者会议上揭幕加速版GPT-4 Turbo模型之后进行的。
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GPT-4 Turbo的主要特点

• 显著的速度提升
• 更大的输入上下文窗口，高达128,000个标记（约等于300页）
• 为开发者提供了更多的可负担性
• API请求能够通过文本格式JSON和函数调用利用模型的视觉识别和分析能力

OpenAI强烈建议在执行影响现实世界的动作前构建用户确认流程。

初创公司应用案例

• Cognition: 其AI编码代理Devin依赖该模型自动生成完整代码。
• Healthify: 一个健康和健身应用，使用该模型提供基于餐饮照片的营养分析和建议。
• TLDraw: 利用GPT-4 Turbo with Vision为其虚拟白板提供动力，并将用户绘图转换为功能性网站。

市场竞争与展望

尽管面临来自Anthropic的Claude 3 Opus和Google的Gemini Advanced等较新模型的激烈竞争，API的推出应该有助于巩固OpenAI在企业市场的地位，开发者们期待公司的下一个大型语言模型。

行业活动

想要从行业领袖那里了解更多关于AI和大数据的信息吗？请关注即将在阿姆斯特丹、加利福尼亚和伦敦举行的AI & Big Data Expo。此活动与BlockX、数字转型周和网络安全与云博览会等其他领先活动共同举行。

探索TechForge推动的其他即将举行的企业技术活动和网络研讨会。

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