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Google

Google launches AI-powered advertiser features

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Google announced on Wednesday the debut of two new features for advertisers powered by artificial intelligence. These features will help advertisers identify the most effective ad placements for their brands across all of Google’s services.

The tech industry has been dominated by AI in recent months as a result of Google and other companies creating inventive chatbots that can engage people in open-ended conversations. In order to better serve advertisers, who provide companies with money, AI is also being used more and more.

Google
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Google’s launch of AI-powered advertiser features represents its ongoing commitment to automation and harnessing the power of artificial intelligence to enhance advertising capabilities. By leveraging AI, Google aims to provide advertisers with advanced tools and features that streamline campaign management and optimize ad performance.

Also Read: Google AI to power virtual travel agent from Priceline

Google has already provided AI advertising tools, but it is now utilizing the technology to assist brands in achieving more focused objectives for their advertisements. Google’s AI algorithms can analyze various factors, such as historical campaign data, user behavior, and contextual signals, to optimize bidding strategies automatically.

This helps advertisers achieve their campaign goals more efficiently while reducing the time and effort required for manual bid adjustments.

Demand Gen, one of the new capabilities, uses AI to distribute an advertiser’s video and photo advertising across a number of platforms, including Gmail, the YouTube feed, and Shorts, YouTube’s answer to the well-known short-form video app TikTok.

According to Vidhya Srinivasan, vice president and general manager of advertising at Google, AI will make it unnecessary for advertisers to consider where to place their ads and would instead concentrate on identifying spots that are “shiny, visual, and immersive.”

According to Google, the second new feature will employ AI to identify the ideal ad placements in order to maximize the number of views for a brand’s video advertisements.

According to preliminary testing, brands used the new tool to get 40% more video views overall, Srinivasan added. Brands will be able to concentrate more on their advertising plan and storytelling by employing AI to take some of the “grunt work” away from advertisers, she continued.

Also Read: Google quietly ends support for decade-old Chromecast

AI can assist advertisers in creating effective ad campaigns. By analyzing past performance data, user behavior patterns, and industry trends, Google’s AI can generate campaign structures, ad copies, and targeting options that are likely to yield better results.

Google’s launch of AI-powered advertiser features represents its ongoing commitment to automation and harnessing the power of artificial intelligence to enhance advertising capabilities. By leveraging AI, Google aims to provide advertisers with advanced tools and features that streamline campaign management and optimize ad performance.

Cohere

AI startup Cohere raises funds from Nvidia, valued at $2.2 billion

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Cohere, which is building an AI model ecosystem for the workplace, recently revealed that it collected 270 million USD as a portion of the company’s Series C investment, demonstrating that there is a lot of funding available for generative artificial intelligence new businesses.

Cohere
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Cohere was reportedly in discussions with investors for raising hundreds of millions of bucks previously this year at an estimated value of up to little more than six billion dollars, according to Reuters.

If that information is accurate, Cohere looks to have significantly undervalued the business, an individual with knowledge of the situation informs TechCrunch this particular tranche assesses the organization at between 2.1 billion USD and 2.2 billion USD.

“The new capital will fuel the continued development of Cohere’s AI platform, which is focused on enterprise customers, allowing companies to use their preferred cloud provider to increase data privacy and make implementation simpler,” president and COO Martin Kon told TechCrunch via email.

“The latest round allows us to invest in compute, grow our team, engage with more of the world’s leading enterprises, and further advance our world-leading AI, ultimately empowering companies to build incredible products while keeping their data private and secure.”

Also Read: Netflix shareholders withhold support for executive pay package

Cohere was established in 2019 by Nick Frosst, who was one of the first executives at Google AI lab in Toronto) along with Aidan Gomez and Ivan Zhang.

Prior to founding Cohere, Gomez collaborated on the seminal article “Attention Is All You Need,” which proposed the Transformer, which is the framework behind well-known large language models (LLMs) such as GPT-4 powered by OpenAI. Kon became part of the firm in early 2023 after leaving his previous role as the chief financial officer at YouTube.

In addition to other types of artificial intelligence, Cohere has created multilingual models of language that have been taught on data from local people. By concentrating on applications in business cases, Cohere hopes to differentiate itself in the sea of generative artificial intelligence firms.

The artificial intelligence (AI) solution from Cohere is cloud agnostic and may be set up on-site, in a client’s present cloud, a virtual private cloud, or maybe a public cloud such as Google Cloud or Amazon Web Services (AWS). The startup employs a hands-on strategy, collaborating with clients to develop unique LLMs based on their confidential data.

Lucy Guo

From Dreamer to Achiever: The Unforgettable Journey of Lucy Guo

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At age 25, Alexandr Wang maintains the record of becoming the youngest self-made billionaire all over the globe. His start-up, Scale AI, which he founded together with someone in 2016, accounts for the majority of his “one billion dollar” worth of assets. The tech firm has currently a 7.3 billion USD market worth. Wang has caused impacts in the IT industry, but he’s not the only one. Lucy Guo, the previous co-founder, also seems to be receiving well-deserved praise.

Lucy Guo
Image Source: tuko.co.ke

She was recently ranked second after Kylie Jenner in Forbes’ list of the wealthiest self-made women under 40, having a probable market worth of 440 million USD. Rihanna, Huda Kattan, Maria Sharapova, & Taylor Swift are among the other celebrities on the list.

Also Read: Alexandr Wang: From MIT Dropout to youngest billionaire

Guo picked up programming while she was in the second grade, as per a New York Post feature. Guo, whose parents both work as electrical engineers, did not have parents who would push them to go after their passions. Since it’s challenging for women to succeed in the industry, her mother in particular discouraged her from going into technology.

The 27-year-old tech genius seemed unfazed, though. Guo ultimately enrolled in Carnegie Mellon’s computer science program but left early to go after a Thiel Fellowship, which was created by Peter Thiel, a co-founder of PayPal.

As per the fellowship’s website, it “gives US$100,000 to young people who want to build new things instead of sitting in a classroom”.

Source: scmp.com

Lucy Guo credits her early acquaintance with tech due to her growing up in Silicon Valley.

She started building websites in the sixth grade after learning how to program, and by the time she was a senior in high school, she was bringing in five figures through online marketing and advertisements.  She produced consumer online and mobile applications as a part-time developer, such as FriendSwipe, AccessURL, & Pokecrew.

She was working at Quora prior to co-founding Scale AI, and she then became Snapchat’s first female creator.

In 2018, the same year Wang and Guo were named to Forbes’ 30 under 30 list, Guo quit Scale AI. She still has a six percent ownership position in the business.

She helped establish the business firm Backend Capital in 2019 in its earliest stages, as reported by Forbes. She started the tech startup, Moment this April. The moment is supported, according to its website, by Antifund, a venture capital company established by Geoffrey Woo along with Jake Paul.

Google AI

Google AI to power virtual travel agent from Priceline

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According to reports, Google is bringing its own AI engine to Priceline, an online travel firm, to assist users book trips using a chatbot.

According to Google and Priceline, the new feature, which will include a more advanced chatbot, could go available as early as this summer. Now that Priceline has access to Google’s generative AI, the platform can more effectively extract data from various sources, like hotels.

Google
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The customer can then be presented with that data in a way that makes it seem as though a human wrote it, as Google’s Bard is known for doing.

Also Read: Google quietly ends support for decade-old Chromecast

The chatbot would act as “a personal concierge” for users, said Martin Brodbeck, Priceline’s chief technology officer, to Reuters. Brodbeck stated, “You can easily find out that in Bryant Park there’s a Christmas market that runs from early November all the way through the beginning of January when you’re actually booking your hotel.”

The digital infrastructure of Priceline will also receive support from Google on the backend. The hundreds of software professionals who work at Priceline are apparently going to use artificial intelligence to generate code. Additionally, Google’s search engine will be integrated into the company intranet, and its AI will help sell popular spots to consumers.

When combined with excellent generative-AI content, Brodbeck told Reuters, “You could have it create images like a lovely beach.”

Google has long been the distant No. 3 provider of cloud services like data storage, so using AI to attract customers could help it catch up to rivals Amazon and Microsoft. The adoption of cutting-edge technology on Priceline’s website would give it an advantage over other travel-related marketplaces, some of which are looking into how customers will respond to AI.

Expedia Group, a competitor company, claimed that a smartphone app will use ChatGPT to power conversations. According to Rathi Murthy, its chief technology officer, this provides travelers with “inspiration on places to go” and booking possibilities.

Expedia Group, a competitor, said that ChatGPT would be used to facilitate conversations on its mobile app. According to its chief technology officer Rathi Murthy, this is providing travelers with “inspiration on where to go” and booking options.

Also Read: Snap hires new head of engineering from Google

Google has historically been a rival to Priceline, despite the fact that Brodbeck said its cloud computing skills were the catalyst for the collaboration. According to Thomas Kurian, CEO of Google Cloud, the capacity to create applications on top of generative artificial intelligence has recently attracted business.

According to Kurian, who was referring to the amazing prehistoric period when a vast variety of new species evolved, “There is kind of a Cambrian moment happening now where there is an explosion of this technology.”

AI

Will startups have a shot in the enterprise AI race?

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Artificial Intelligence (AI) has become a transformative force across industries, enabling businesses to automate processes, gain valuable insights, and make data-driven decisions. The enterprise AI market is highly competitive, with tech giants investing heavily in research and development.

Startups can focus on developing artificial intelligence solutions that cater to specific industry needs or address niche markets. By understanding the unique challenges faced by enterprises in different sectors, startups can create targeted AI applications that provide substantial value.

AI
Image Source: insider.com

Unlike large corporations, startups can adapt to changing market demands rapidly and experiment with new AI technologies and algorithms. This flexibility allows startups to stay ahead of the curve and offer cutting-edge solutions.

Established enterprises often face challenges in adopting AI due to legacy systems and organizational complexities. Startups can bridge this gap by partnering with established companies, offering their expertise and AI solutions as a service.

Also Read: WhatsApp to allow users to edit messages?

Collaborations can provide startups with access to resources, industry knowledge, and a wider customer base. Startups typically operate with limited financial resources, making it challenging to compete with tech giants who have substantial R&D budgets.

Developing and scaling AI models requires significant computational power and data, which can strain a startup’s resources.

AI talent is in high demand, and established companies often have an advantage in attracting top-notch AI researchers and engineers. Startups may face difficulty in hiring and retaining skilled professionals, hindering their ability to develop complex AI models and algorithms.

Enterprises are cautious when adopting artificial intelligence solutions, preferring established vendors with proven track records. Startups must build trust and establish credibility by showcasing successful use cases, partnering with industry leaders, and ensuring the security and ethical use of AI technologies.

Startups should prioritize providing seamless user experiences and delivering tangible value to enterprises. Developing intuitive interfaces, robust customer support, and reliable artificial intelligence systems can help startups differentiate themselves in the market.

Forming strategic alliances with larger enterprises or industry-specific organizations can enhance a startup’s credibility and reach. Such partnerships can lead to access to larger customer bases, shared resources, and knowledge exchange.

Open-source AI frameworks and tools can significantly reduce development costs for startups. Leveraging open-source technologies enables startups to build on existing foundations and accelerate their development cycles.

Addressing data privacy concerns is crucial for startups to gain the trust of enterprises. Implementing robust security measures, complying with data protection regulations, and transparently communicating privacy practices can help alleviate concerns.

While the enterprise artificial intelligence market is fiercely competitive, startups do have a shot at success. By leveraging their agility, innovation, and focus on niche solutions, startups can carve out a space for themselves.

Also Read: Microsoft Build 2023: Big Announcements

However, they must overcome challenges such as limited resources, talent acquisition, and building trust. By adopting effective strategies, such as prioritizing user experience, fostering collaborations, leveraging open-source tools, and addressing data privacy concerns, startups can position themselves as viable contenders in the enterprise AI race.

As artificial intelligence continues to evolve, startups have the potential to disrupt traditional market dynamics and make significant contributions to the enterprise AI landscape.

AI

What is the “Hiroshima process” to govern AI?

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G7 leaders expressed worry over the disruptive potential of quickly developing technologies and agreed that governance in the arena of generative AI must adhere to G7 ideals. The nations are scheduled to undertake cabinet-level conversations on the matter as part of what they are referring to as the “Hiroshima Process” and the leaders indicated in an address at the G7 summit on Friday that the outcomes will be presented by the end of the year.

AI
Image Source: business-standard.com

Japanese Prime Minister Fumio Kishida requested cooperation towards a secure, cross-border flow of data and pledged financial support to such an effort in order to ensure that AI research is human-centric and reliable.

The plea for stronger regulation is consistent with those made by business and political leaders around the world after OpenAI’s ChatGPT sparked a race for businesses to build the technology more swiftly.

Also Read: Meta announces AI training and inference chip project

It’s feared that if the developments — which can create writing that is authoritative and human-sounding and make images and videos — go unchecked, they will become a potent instrument for deception and political upheaval. This week, Sam Altman, CEO of OpenAI, and the privacy leader of International Business Machines urged US senators to tighten AI regulations.

World Health Organisation warned this week in a statement that implementing AI too soon carried the danger of causing medical blunders, which might damage people’s confidence in the technology and impede its adoption.

Altman and other individuals have been called to the UK by Prime Minister Rishi Sunak in order to develop a strategy to address both the hazards and advantages of AI.

The European Union is moving towards regulating AI tools by requiring businesses to ensure that users are aware when they are dealing with AI and by outlawing its use for real-time identification of individuals in public. According to Altman, establishing a new regulatory body would help the US preserve its dominance in the industry.

In contrast to strong regulatory legislation like those in the EU, the Japanese government frequently favors regulating AI under laxer guidelines.

Hiroki Habuka, the senior associate at the Wadhwani Centre for AI and Advanced Technologies, said that if there is a serious issue, the government should eventually use hard legislation to enforce its policies. But if the law is very specific, it won’t be able to keep up with technological advancements.

It will be difficult to establish an international standard for generative AI regulation at this time since different values are considered appropriate in society in each of the G7 nations, he said.