Google Opens Automatically Created Assets Publicly to Boost Efficiency
Google has made the most recent improvements to the conversational experience and automatically created assets for Google Ads available to the public. More users will be able to employ AI to increase the effectiveness of marketing campaigns. The new capability is an effort toward automating the workflow for advertising. ACAs were previously restricted to marketers running English-language campaigns during open beta. The ACAs, however, are now offered in seven other languages. In the upcoming months, automatically created assets will begin utilizing generative AI for advertisers with English assets in the U.S. and U.K. Google’s goal is to assist marketers in producing more assets that are better suited to users’ search queries.
A quick look at Automatically Created Assets
Automatically created assets are an opt-in campaign-level setting. Advertisers can select this setting to generate new assets (headlines and descriptions) to be used with the ones they already submitted for responsive advertising. These materials are created based on the specific context of each advertisement, which includes the landing page, current advertisements, and the ad group’s keywords.
Benefits of automatically created assets
Performance
It improves the efficiency of responsive search advertisements (RSA) by automatically adding more headlines and descriptions.
Relevance
Consistently improve the user experience on landing pages, ad copy, and inquiry pages.
Productivity
Reduce the amount of time spent manually writing effective ad copy.
Increase in Automatically Created Assets
The extension of automatically created assets is one of the most prominent improvements. Based on the unique context of an advertisement, such as the landing page or previous advertisements, this function generates personalized headlines and descriptions. The aim is to increase the Ad Strength indicator, which measures the efficiency of ads in responsive search campaigns. Marketers can remove any ACA they feel is unsuitable for their advertising. This feature, which was first only available in English, has since been made available in seven more languages. French, Italian, Japanese, German, Portuguese, and Spanish are among them.
ACAs can boost ad relevance by matching ads and landing pages better. However, it entails handing over authority to Google’s AI. For brands with severe compliance rules or industries with heavy regulation, this might not be appropriate. This is because the company won’t have complete control over the message of the advertisement.
Read More: Google Boosts Performance Max with URL Contains Targeting Tool
Utilize ACAs to deliver better-suited search advertising.
Advertisers will have two choices to start employing automatically generated assets:
- Turn them on by using the campaign setting
- On the Recommendations page, locate the “enable automatically created assets” suggestions and simply follow the on-screen instructions to get started
Create better search campaigns with Google Ads’ conversational experience.
The most recent large language model (LLM) innovation powers the conversational experience in Google advertisements. With the use of this technology, advertisers may communicate with Google advertisements in natural language to create campaign pieces. Building search campaigns makes it possible to achieve greater results with fewer resources. All that is needed for a campaign is the advertiser’s website URL, and Google AI will generate the rest. They will receive headlines and pictures from it. Marketers can interact with AI during each session to change suggestions and approve them prior to launching the campaign. Google has won praise for saving time and inspiring fresh ideas for advertisers during beta testing now taking place in the United States and the United Kingdom. Google intends to improve these capabilities even more and send them out to more marketers in the upcoming months based on early feedback.
Google’s Ongoing Application of Generative AI
By offering a more automated and effective workflow, the new generative AI features coming to Google Ads seek to reduce the complexity of contemporary digital advertising. Advertisers should be able to quickly handle changing customer behavior and the increasing need for more individualized and successful advertising tactics thanks to these new technologies. Google’s AI-powered upgrades to its ad platform offer capabilities that might greatly speed up the production and placement of ads, making them more effective and targeted in a world that is becoming more automated.
Read More: Google Secretly Alters Ad Auctions to Boost Revenue Targets
10 Game-Changing AI Tools for Digital Marketing in 2023
Welcome to the realm of artificial intelligence! In this day and age, where corporations are scrambling to embrace AI’s disruptive powers, it is only a matter of time before this expanding technology completely takes over our lives. AI has had a significant impact on our world today. It has transformed every industry. Digital marketing companies are more affected than ever. Through sophisticated business techniques, it is transforming the way these firms communicate with their clients and generating unparalleled success.
According to a Statista report, more than 90% of digital marketers in 35 countries use AI in their company’s operations. While businesses invest in AI capabilities, marketers are becoming more inventive in how they use this technology, from better targeting to content creation. The technology is becoming so prevalent that it is estimated that by 2028, AI in marketing revenue will reach $107 billion, up from $27.4 billion in 2023.
Many organizations now rely solely on AI solutions for advertising and marketing. Marketers in these fast-paced industries seek novel ways to reach potential clients. Still, considering AI in your business? Here are some data to help you decide.
AI is transforming every sector. We’ve looked at the importance of artificial intelligence in digital marketing and the tools you should utilize in the digital age. So, let us dive into AI, where creativity meets marketing. We will also uncover the limitless potential AI has to offer your organization to succeed in this ever-changing terrain.
AI in Digital Marketing
AI in digital marketing has helped make life and work easier and more efficient. Now, you might wonder how this technology can help marketers in their jobs. Here’s how:
- Streamline Tasks: It can automate difficult tasks like finding potential customers, creating content, and enhancing marketing campaigns, thus reducing manual efforts
- Personalization: AI has the ability to analyze and understand what customers want, their behaviors, and their needs, and formulate messages and recommendations accordingly.
- Understand customers: Marketers can use AI to analyze consumer trends from vast internet data.
- Chatbots: Customers can now have real-world conversations with AI chatbots like ChatGPT, Bard, etc. They can interact with virtual assistants to help them with queries or issues. This makes things easier for not only customers but for companies too.
- Forecast Future: AI analyzes historical data to predict future trends and market performance, allowing for more effective marketing campaigns.
- Target Ads: Analyzing customer data will help marketers to target ads efficiently. In simple words, the data can help to show ads to the right people at the right time, making the ads more effective.
- Competitor analysis: AI helps to understand how your competitors are performing, and what they are doing. This helps marketers to stay ahead of the competition and dominate the market.
AI Tools for Digital Marketing
Due to advancements in AI, hundreds of AI tools are available for you to choose from. But we have used and curated a list of ones you can implement in your business. Here are some AI tools you can use to take your business to the next level.
- AI Tools for Content Generation
- AI Tool for Content Optimization
- AI Tools for presentation
- AI tool for segmentation.
- AI tool for Campaign Optimization
- AI Tools for Email Marketing
- AI tools for SEO optimization.
- Video and image editing tools
- AI chatbot
1. AI tools for Content Generation
An important part of digital marketing, content generation means creating information or marketing material for a group of people. This can include images, texts, infographics, video, or audio files.
i. MarketMuse
Don’t you wish you had customized objective insights about your platform to avoid all the guesswork? MarketMuse offers exactly what you need! With this tool, you can analyze your existing keywords to find improvements during your research.
What’s To Love About?
- Automates content audit and deciphers the most effective strategy for you and your business.
- Saves 11+ hours of time that would otherwise be spent on manual content audits.
- Helps manage your SERP rankings.
- Gives you analyses of your competitors.
- Information about gaps in your competitors’ coverage for your business to exploit.
- Shows you what topics to include, the value they will bring, and how challenging it will be to rank,
- Prompts keywords with best ranking chance, content brief templates with SEO-optimized titles, sub-headings, meta description, and usable internal links.
- Now integrated with ChatGPT for accelerating the content process.
Available Plans
Free Plan, Standard Plan starting from $149/month, Team plan starting from $399/month
ii. Writesonic by Cohesive.so
Deciding on topics and outlines for blogs is time-consuming. Add to that, writer’s block hinders a streamlined writing process. Writesonic helps you overcome all that, but also generates an entire blog in seconds. You can ask it to summarize the entire blog in a few sentences, change the tone of voice, and even upload high-resolution images from Unsplash.
What’s to Love About?
You can choose from a variety of options, including:
- 150 different templates
- 100+ AI images and 10+ AI voices
- Up to 5 integrations with unlimited PDF and audio downloads
- 10 different languages to compose, rephrase, and more
- Connect your WordPress account to publish your content directly
And the cherry on top? It’s completely FREE!
We experimented with the tool to know more about it! Here’s a prompt we put in:
Instagram caption for the role of AI in digital marketing
iii. Hemingway
Want to get all Grammarly benefits, but do not want to pay for a subscription? Look no further. Hemingway is the most suitable alternative to Grammarly. Different color markings show you opportunities to improve your writing. It even offers suggestions for condensing your sentences for better readability.
Another FREE tool? Sign me up!
2. AI Tool for Content Optimization
It is the process of improving your digital content, be it on the website page, blog posts, videos, and social media to increase its value and make it more relatable to your target audiences. The main objective of content optimization is to make your content visible, engage with your audience, and ultimately drive more traffic, conversions, and revenue.
i. Alicent
Do you find the content written for your website or campaign too generic and basic? Do you want a specific product to sell more or target a specific set of audiences? Alicent is here for that purpose. This tool, powered by ChatGPT helps optimize your content and even offers prompts for various use cases. It saves you time and provides a structured format for your website. Just put in your ideas at the prompt and get instant results with strategies to work with.
What’s To Love About?
- Alicent hosts a curated library of 250+ templates to choose from.
- It is supported by 50+ languages so don’t be afraid to reach other demographics.
Here’s how it works!
We have two words for this: freaking cool!
3. AI Tools for presentations
i. Gamma AI
Creating vibrant and appealing presentations is no longer a headache! With Gamma AI, you can design, customize, and choose templates from a range of available themes.
What’s to Love About?
It’s literally an advanced chatbot for presentations! You can save hours of work by designing and customizing entire slide decks with AI. All you have to do is specify the topic of your presentation. The tool creates an entire presentation within seconds!
- Enjoy endless image choices thanks to integrated apps like Unsplash, Giphy, Vimeo and many more.
- Equipped with changing the tone of voice to better suit your target audience.
- Get insights to understand which part of the presentation fascinated your clients the most
- Analysis helps determine potential areas for improvement within the business.
We tried using it to make you life easier! Might we just say, how cool was it!
Available Plans
The Free plan offers unlimited user collaboration and slide decks with basic analytics. The Plus plan starts at $8 per month. Head over to Gamma AI to design beautiful and personalized presentations!
4. AI Tools for Audience Segmentation
Audience segmentation is done to divide a large and diverse group of people into smaller and more manageable segments on the basis of shared interests, preferences, demographics, and other factors. This allows advertisers to target and customize campaigns for the segments effectively.
i. Spatial.ai
What is Spatial.AI, you wonder? No, it’s not about space! But it’s an AI tool that predicts and influences customer behavior in real time. The tool analyzes activities in the social, mobile, and web landscape and provides perceptive insights and data about consumer behavior.
What’s To Love About?
The major benefit is location-based segmentation. It also provides answers to your questions “what are my customers like?” or “what is the social activity in the area like?”
- They offer geosocial segmentation rather than just demographics based on consumer patterns.
- Data can be used to draft a campaign strategy by separating users into niche cohorts.
- Competitor analysis to see which market share you are competing for
- Targeting specific customer segments to improve social media engagement
- Campaign optimization based on real-time data
Available Plans
You can only sign up for the Freemium package after you request a demo.
5. AI Tool for Campaign Optimization
Campaign optimization, in simple terms, means improving digital advertising performance by adjusting certain aspects like keywords, interests, targeting strategies, ad copy and so on. This is to get desired business results.
i. Peachly.ai
AI tools like ChatGPT, DALL-E2, and Copy-AI are all fused into one. That is what Peachly.AI is! It features an advanced artificial intelligence tool for creating, targeting, and optimizing your ads. With Peachly.AI, you can breathe easily while launching a campaign. Your business can achieve maximum results with cutting-edge technology.
What’s To Love About?
All you have to do is input your ad account, and budget, and sit back. Peachly.AI will handle the rest, from setting up the campaign to optimizing it for maximum output. Here’s how to streamline the advertising process:
- Upload the website link you want to promote to Peachly.AI
- The AI will then crunch through the data, and deliver the most effective targeting strategies. Additionally, it will also draft engaging ads that reach your target audience.
- The tool will review it to make sure the ads meet industry standards and your marketing goals.
- The ads will then be published on your linked accounts.
- The tool will continuously monitor and optimize your ads for maximum results.
Available Plans
The platform offers a 7-day free trial. The starter pack starts at $29 per month, and the AI accelerator pack starts at $37 per month.
6. AI Tool for Email Marketing
A digital marketing approach which involves sending out messages and promotional content to a group of people through emails. It is the most powerful channel available to marketers that allows businesses to interact with customers directly.
i. Smartwriter.ai
Smartwriter.AI is an email marketing and outreach tool that provides templates for drafting emails. The tool generates customized email messages and headlines depending on the consumer’s profile.
What’s to Love About?
Technology scrambles through the web in search of the consumer or company your business wants to target. Businesses can obtain audience profiles from LinkedIn to draft customized messages that pique the client’s interest.
- Consists of a feature that allows businesses to personalize messages based on the target’s company news, case studies, blogs, and website.
- Provides outlines for emails, blogs, product descriptions for Shopify products, and SEO-optimized meta titles and descriptions to rank higher.
- Assists with keywords that help increase email reach and opens rather than directly marking it as spam.
Here’s an experiment we tried with this tool!
Catchy Intro Lines for sending emails to digital marketers to start using AI tools
Available Plans
The tool offers a 7-day trial. After that, the Basic plan starts at $49 per month and the Popular plan starts at $124 per month.
7. AI Tool for SEO Optimization
Search Engine Optimization (SEO) is the practice of increasing the visibility of a website on search engine results pages. Technical and content adjustments are made to the website or any readily accessible content in order to enhance traffic and ranking.
i. GrowthBar SEO
A content generation automation tool that suggests keywords to be included in a blog post. It’s a dream haven for digital marketers! GrowthBar SEO is the SEO optimization tool you need to use today.
What’s to Love About?
Consequently, in order to rank higher in SERPs, the bots scan the internet for qualified keywords.
- It assists with keyword research and rank tracker.
- Helps with blog post generator prompts and outlines for meta descriptions, newsletters, press releases, and more
- Provides a Chrome extension with extensive backlinks.
- Utilizes GPT-3 model developed by OpenAI for content generation
With this AI tool, we wanted to understand which keywords would work the best.
Available Plans
GrowthBar SEO offers a 14-day free trial. Moreover, the standard plan starts at $29 per month whereas the Pro plan costs $79 per month.
8. AI Tool for Image and Video editing
i. Craiyon.ai
Image creation is now easy! Create AI-generated images for nothing. All you need is an idea to write a prompt. Craiyon.ai will generate it within minutes.
Here in the example, we input a prompt to create an image of a business meet under the sea. The results were fascinating!
9. AI chatbot
i. Perplexity
We all know ChatGPT. But have you heard of Perplexity? It is a chatbot that goes further from ChatGPT.
What’s to Love About?
- Gives you instant results for your queries.
- Gives you cited articles related to your search request.
We even gave this tool a try to help you decide better!
Isn’t that amazing? It saves you time looking for sources to cite and helps you to focus more on the job at hand!
Available Plans
It costs nothing! Furthermore, you can choose their premium plan which costs $20 per month to avail of more features like Copilot and GPT-4.
Conclusion
Artificial intelligence in digital marketing has proven to be a boon. AI tools are not meant to replace humans’ creativity and intuition. AI provides valuable insights. Therefore, it’s up to marketers to use these insights and data to create campaigns that resonate with their audiences. Businesses can achieve remarkable results with AI and human expertise. It’s time for you to step up your digital marketing arsenal with these game-changing tools to dominate the competition in 2023!
Read More: Mastering Digital Marketing: Insights from Kosal Malladi, VP at Madison Loop
UAE’s G42 Unveils ‘Jais’, A Powerful Open-Source Arabic AI Model
G42, the Abu Dhabi-based tech conglomerate focusing on AI announced the launch of a novel Arabic Large Learning Language Model (LLM) open-sourced by AI. The collaboration took place with the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). The partnership between MBZUAI and Cerebras Systems produced the name “JAIS,” inspired by the highest peak in the UAE. A large collection of data blending Arabic and English, including some from computer code, was used to create the 13 billion parameters that make up the fresh native LLM model. It is also trained on datasets with 395 billion tokens in Arabic and English. It intends to educate 400 million Arabic-speaking people about AI’s potential. The dataset comprises 279 billion English word tokens to improve performance across languages and 116 billion Arabic tokens that reflect the diversity of the Arabic language.
Today, we are excited to announce the launch of Jais, the world’s highest quality open-source Arabic large language model (#LLM) and a collaboration between Inception, a G42 company,@MBZUAI & @CerebrasSystems. pic.twitter.com/fsMV4SHp1g
— G42 (@G42ai) August 30, 2023
How did Jais come into existence?
Cerebras Systems developed the new language model using supercomputers. It produces chips the size of dinner plates that compete with NVIDIA’s powerful AI gear. Due to the current shortage of NVIDIA processors, businesses worldwide are looking for alternatives. G42 has a subsidiary called Inception. Due to the dearth of Arabic data, the team trained the Jais model’s capacity to reason with computer code using only English language data. To give exclusive access for testing purposes, Inception and MBZUAI formed an academic relationship with several institutions. Academic collaborators include Carnegie Mellon University, The University of Edinburgh, Sorbonne Paris Nord-LIPN, NYU Abu Dhabi’s CAMeL Lab, and others. The initiative was started by a group that included academics and engineers since they claimed there weren’t many bilingual LLMs.
The Condor Galaxy (CG-1) supercomputer owned by Cerebras served as the model’s training ground. CG-1 is a part of a network of nine connected supercomputers. G42 and Cerebras Systems presented the same in July. Their supercomputers present a novel method for AI computation that promises to drastically shorten the time required for model training. Customers can benefit from the efficiency of an AI supercomputer using the CG-1 cloud service from Cerebras and G42 without having to oversee or deploy models across physical systems. Cerebras stated this year that it had sold three units to G42. The first will be delivered in the coming months and the remaining two in 2024.
Read More: Game On: iion and MMPWW Join Forces to Revolutionize Gaming in the UAE and Middle East
How will Jais be used?
Jais will speed up innovation and strengthen Abu Dhabi’s reputation as a center for AI research, cultural preservation, and international cooperation. Through the open sourcing of Jais, Inception hopes to involve the academic, research, and developer communities. This will be done to hasten the development of a thriving Arabic language AI ecology. The language performs far better than current Arabic models and is equally viable with English models of comparable size. Other underrepresented languages in mainstream AI can use it as a model.
Several institutions will also use Jais. They include the UAE Ministry of Foreign Affairs, the UAE Ministry of Industry and Advanced Technology, the Abu Dhabi Department of Health, Etihad Airways, the First Abu Dhabi Bank (FAB), and e&. Currently, users can download Jais via Hugging Face. After registering their interest on the Jais website, users can try Jais online. They can also receive an invitation to enter the outdoor setting.
Challenges facing the new LLM
The scarcity of high-quality Arabic language data available, as compared to English, presented one of the difficulties in training the model. By using media, social media, and code, Jais uses both the widely accepted current standard Arabic and the various spoken dialects of the Middle East.
Additionally, Gulf monarchies’ desire to lead in AI has raised concerns about elites abusing the technology. The most cutting-edge LLMs available right now, such as GPT-4, which drives OpenAI’s ChatGPT, Google’s PaLM, which powers its Bard chatbot, and Meta’s open-source model LLaMA, are all capable of comprehending and producing text in Arabic. According to Andrew Jackson, the Arabic components are watered down in current models that operate in up to 100 languages.
Jais beats Falcon as well as open-source models like LLaMA, which have previously defined Arabic accuracy. Falcon’s software, according to its creators, has not been preconditioned in Arabic. The Jais model also takes a closer look at the culture and setting of the region, as opposed to most US-centric models. The model underwent rigorous testing to screen out any potentially dangerous, delicate, offending, or illicit material that did not adhere to the organization’s principles.
Read More: DoubleVerify Acquires Scibids, Reinforces AI Powered Solutions
Here’s what they have to say
Andrew Jackson, CEO of Inception said,
We believe that innovation thrives when we collaborate. With this release, we are setting a new standard for AI advancement in the Middle East and ensuring that the Arabic language, with its depth and heritage, finds its voice within the AI landscape. Jais is a testament to our commitment to excellence and our dedication to democratizing AI and promoting innovation.
He further said,
The UAE has been a pioneer in this space (AI), we are ahead of the game, hopefully. We see this as a global race. Most LLMs are English-focused. Arabic is one of the largest languages in the world. Why shouldn’t the Arabic-speaking community have an LLM?
MBZUAI President and University Professor Eric Xing said,
Developing such a high-caliber Arabic LLM demanded cutting-edge AI research in addition to an in-depth and nuanced understanding of the Arabic language, its diversity and heritage, and the growing importance of LLMs across all echelons of society. Thanks to our research and partnerships with Inception and other top regional and global organizations, MBZUAI will continue pioneering LLMs that are efficient, effective, and accurate.
Andrew Feldman, co-founder and CEO of Cerebras Systems further added,
Our strategic partnership with G42 is already delivering pioneering results. A few weeks ago, we introduced the first multi-exaFLOP AI supercomputer, Condor Galaxy 1 (CG-1). Now, the partnership delivers another key breakthrough: the leading Arabic LLM for the open-source community. At Cerebras our passion is building groundbreaking technology. One of the great rewards is seeing the innovative ways it is used. Jais is a significant contribution to the international open-source community. It is also a testament to how incredibly easy CG-1 is to use and how it enables extremely rapid AI model development.
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YouTube & Music Industry Forge AI Alliance for Artist Protection
Artificial Intelligence (AI) is advancing more quickly than ever. Along the process, it is fostering innovation, igniting fresh perspectives, and even changing entire sectors. It is clear that YouTube aggressively accepts this technology with a persistent commitment to accountability at this pivotal juncture. Over 1.7 billion people have watched YouTube videos about generative AI so far in 2023. Neal Mohan, the CEO of YouTube, has underlined the necessity of carefully utilizing its potential. He also discussed the platform’s AI music guiding principles and his expectations for how the system will support artistic expression while safeguarding platform artists.
P1# Ethical Adoption with Strategic Collaborations
With its ability to bring together fans from all over the world, produce famous videos, and introduce new artists, YouTube has long been associated with music. Its collaboration with the music business resulted in the development of YouTube Music and YouTube Premium subscription services, novel international live-streaming abilities, and vigilant copyright protection for artists. Although it has long been connected to music and copyright protection, advances in generative AI have made content regulation more challenging than ever. By listening to an artificially-created cover of a well-known song, one may see how technology is developed. One can wonder if the original artist, the creator of the AI, or the data used to train the model should receive credit.
Millions of individuals are incorporating AI into their daily lives as a result of the rapid breakthroughs in the field. AI. As revolutionary new forms of creativity are unlocked by generative AI, YT, and its collaborators in the music business concur to expand on our long history of working together, appropriately embracing the quickly developing field. YouTube’s goal is to collaborate with the music business in order to foster creativity in a way that advances their shared goal of ethical innovation. Recently, YouTube developed a framework to innovate and protect artists’ work in collaboration with peers in the music industry like Universal Music Group. It unveiled Music AI Incubator, a platform designed to make use of this innovative field.
Read More: Google Rolls Out Advert Target Frequency For YouTube Campaigns
P2# Safeguarding and Amplifying Music Partner Opportunities
Working with the industry leader and tremendous talent roster of Universal Music Group, they are launching the program. YouTube will put together well-known artists from around the world to gain an understanding of generative AI trials and research. OneRepublic’s Ryan Tedder, a three-time Grammy Award winner for songwriting and production, Yo Gotti, a renowned rapper and philanthropist, and the estate of American musical legend Frank Sinatra are just a few examples of these luminaries. YT will be able to learn from these bright individuals as it conducts tests and research on generative AI.
The goal is to strike a balance between originality and protecting copyright ensuring artists are compensated for their labor. As AI encourages a new era of artistic expression, YT continues to uphold its tradition of protecting the creators’ work. Investment in content management tools like Content ID has helped the industry generate income, AI offers a chance to rethink these safeguards. Over the years, they have made large investments in the infrastructure. It aids in balancing the needs of copyright owners with those within the YouTube creative community.
P3# Elevating Trust in AI Advancements and Safety Measures
Years of policy development and trust building have put YT in a position to expand its protections to AI-generated material. They have established content policies and a reliable and secure organization that lead the industry. These are also being used as safeguards for AI. Current issues including misuse of trademarks and copyrights, false information, spam, and more could be made worse by generative AI systems. The use of Content ID policies, detection and enforcement systems, and other tools keep their platforms secure on the backend. They will be able to better safeguard their community of viewers, producers, artists, and songwriters.
Read More: Zoom Faces Backlash As Revised AI Policy Raise Privacy Issues
Harmonizing AI and artistry
In a separate article, Sir Lucian Grainge, Chairman and CEO of Universal Music Group, also discussed his views on AI in the music industry. Digital modification, which some people formerly viewed with skepticism, has given rise to unrestricted creativity. If the market finds the appropriate balance, Grainge believes that generative AI will have an even greater impact. AI is not devoid of its dangers. Additionally, the technology could misappropriate and impute an artist’s distinctive qualities. To guarantee the independence and recompense of artists, Grainge underlined the necessity for infrastructure, creative alliances, scalable distribution, and safeguards.
He stated in the blog:
Today, our partnership is building on that foundation with a shared commitment to lead responsibly, as outlined in YouTube’s AI principles, where Artificial Intelligence is built to empower human creativity, and not the other way around. AI will never replace human creativity because it will always lack the essential spark that drives the most talented artists to do their best work, which is intention. From Mozart to The Beatles to Taylor Swift, genius is never random.
This demonstrates how firmly YT believes in AI to revolutionize and reinvigorate creativity. The three guiding principles of YT’s CEO create a strong basis on which the entire industry may flourish and push the limits of what is artistically possible. As it continues to progress, content producers and marketers may now produce content of a better caliber while still upholding the integrity and authenticity of the original content creators. They’ve unlocked Pandora’s box AI to boost innovation globally. Furthermore, they are aware that the success of YT and its assurance of artificial intelligence depends on the success of its partners.
Read More: Saudi Arabia-UAE Join Global NVIDIA Chip Race Amid AI Scramble
Saudi Arabia-UAE Join Global NVIDIA Chip Race Amid AI Scramble
Large IT businesses and nations are vying for NVIDIA to dominate the semiconductor chips market as a result of the development of generative AI. Most recently, Saudi Arabia and the United Arab Emirates have expressed interest in purchasing NVIDIA processors to support their AI aspirations. They have joined an ever-expanding line of tech purchasers in the hunt to acquire these chips alongside Elon Musk and China.
With their purchases of thousands of NVIDIA graphic processing units (GPUs), Saudi Arabia and the UAE have both demonstrated their desire to become significant players in the AI industry. These components are crucial to the generative AI revolution that has recently swept the market.
The GPU chips
In the contest to stock NVIDIA chips, the two Middle Eastern nations will face competitors from throughout the world. They will go off against rivals like China and Elon Musk. At least 3,000 NVIDIA H100 chips costing $40,000 each were bought by Saudi Arabia. Additionally, it has ordered new semiconductors to power the nation’s large language models (LLMs).
Earlier this month, it was reported that Alibaba and ByteDance, the parent of TikTok, had purchased $5 billion worth of GPUs as concerns grow about the Biden administration limiting their access. The Chinese tech giants are scrambling to get their hands on these chips with the US government’s restrictions on investing in Chinese technologies. They include semiconductors, artificial intelligence, and quantum computing. The aim was to reduce China’s military access to American technology and price. The four core Chinese tech titans- Baidu, Tencent, Alibaba, and ByteDance ordered $1 billion worth of chips to be delivered in 2023. Additionally, another $4 billion worth will be delivered in 2024. Elon Musk, the owner of Tesla and an acclaimed entrepreneur, has also expressed a strong interest in purchasing thousands of chips for his generative AI project called xAI.
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Craving NVIDIA chips fear a shortage
Since ChatGPT started the AI craze, NVIDIA’s profit performance has increased. The company’s valuation has now reached over $1 trillion. NVIDIA holds 95% market share in the specialist GPU industry, which has grown significantly as a result of AI. These chips are extremely expensive attributing to their innovation, training, and implementation. This gives a huge advantage to big tech companies over small businesses and startups. However, the company’s supply of semiconductor chips may soon be depleted due to the rise in demand for its GPUs. Top executives have issued a warning that supply may soon fall short of demand. The supply of the H100s is facing several limitations. Some analysts predict that the corporation will run out of chips by the end of next year.
The Gulf states’ interests only confirm that NVIDIA may not be able to keep up with GPU demand. They already cost a fortune and are in short supply. Because of this, venture capitalists have begun directly purchasing them for their company portfolios. The price of NVIDIA’s stock has approximately tripled this year as investors bet that its highly coveted processors would be a critical component of the AI revolution. In 2023, the graphics chip specialist led the S&P 500 with gains of more than 200%.
Read More: Microsoft’s Activision Blizzard Acquisition Approved by China
Zoom Faces Backlash As Revised AI Policy Raise Privacy Issues
Zoom, the video conferencing company that emerged in 2020 during the Covid epidemic, is receiving harsh criticism for its revised terms and practices. Following two changes to its AI approach, the corporation has announced that it will develop AI-powered tools using client information without user approval. Zoom claims complete authority over data collected during Zoom calls under the amended AI policy terms. Furthermore, they can reuse and share this data in any way they wish while adhering to the law to develop their artificial intelligence/machine learning frameworks. By doing so, they have failed to give users the choice to opt out.
As part of our commitment to transparency and user control, we are providing clarity on our approach to two essential aspects of our services: Zoom’s AI features and customer content sharing for product improvement purposes. Our goal is to enable Zoom account owners and…
— Zoom (@Zoom) August 7, 2023
Updated TOS with AI policy
Zoom revised its service terms in July. These policy revisions follow a public uproar over ethical implications of developing AI models with consumer data. According to the TOS, Zoom may collect and use “service-generated data” on product usage, telemetry, and inspections to train AI models. Customers agree to allow Zoom to access, utilize, gather, create, change, distribute, process, manage, and keep service-related data for any reason, including ML or AI training and algorithm tuning, without attribution. The TOS statement, on the other hand, fails to explain or clarify what Zoom means by service-generated data.
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Furthermore, according to revised policies, Zoom has obtained a long-term and global license that allows them to freely share, issue, access, utilize, stock, pass on, evaluate disclose, protect, extract, change, replicate, share, exhibit, distribute, translate, record, generate fresh versions, and manage customer content. A non-exclusive and royalty-free license allows sublicenses and transfers.
Zoom Responds
People express concerns about openness and privacy laws. Many people are concerned that Zoom’s updated restrictions may have significant ramifications in the telehealth and educational industries. These industries are governed by privacy laws. They also believe that it is critical to address AI model training issues using data gathered from recorded sessions.
Meanwhile, it denies using user information for AI training without first obtaining authorization. According to a blog post by Zoom, clause 10.2 is merely to enhance openness around data usage, to improve customer experience. This would entail studying usage trends such as peak hours in specific time zones to optimize the data center. This would improve video quality. Although Zoom has stated that it will not use audio, video, or chat content for training its models in the healthcare and educational sectors without client authorization, its terms of service appear inconsistent.
Smita Hashim, Chief Product Officer for Zoom writes,
An example of a machine learning service for which we need license and usage rights is our automated scanning of webinar invites/reminders to make sure that we aren’t unwittingly being used to spam or defraud participants. The customer owns the underlying webinar invite, and we are licensed to provide the service on top of that content. For AI, we do not use audio, video, or chat content for training our models without customer consent.
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Zoom’s AI-powered assistant Zoom IQ contradicts TOS
A few months ago, Zoom introduced Zoom IQ, an AI-based assistant. This function, which summarizes conversation threads and produces automated answers to chat queries, is optional. However, Zoom IQ is automatically enabled. Users who do not change their settings give businesses permission to collect their data.
The other participants in the call receive a notice stating “Meeting Summary has been enabled” when a Zoom meeting starts with Zoom IQ enabled. Inputs and AI-generated content can be accessed from all users by the account holder. The company ties this to model training and product improvement. The participants have two options: accept the meeting or quit it. It is impossible to avoid sharing private information. In other words, someone else can give Zoom permission to use your data to create AI on your behalf.
A look at the future
Zoom, whose popularity surged during the Covid-19 outbreak, has received criticism for its privacy practices in the past. The business was hit with a $85 million lawsuit the year before due to a security flaw that let hackers access unidentified virtual meeting rooms. Making adjustments to its policies to remain relevant is unavoidable given the constantly changing AI landscape. In addition to OpenAI’s ChatGPT and Google’s BARD chatbot, other AI platforms have raised similar concerns. The results of Zoom’s recent changes to its terms and rules are uncertain. Will it further damage its well-established reputation or turn out well?
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DoubleVerify Acquires Scibids, Reinforces AI Powered Solutions
A strategic partnership between DoubleVerify (DV), the market leader in multimedia analysis and data collection, and Scibids Technology SAS has been disclosed. In terms of optimizing digital campaigns using AI, the latter is at the forefront. The $125 million purchase agreement comprises both cash and stock trades. The acquisition is expected to be finalized in quarter three of 2023. In the world of advertising, DV has a solid reputation for being open and reliable. The collaboration may be viewed as a union of two top platforms. Each gives marketers reliable information and AI to help them make the most of their digital endeavors.
Mark Zagorski, CEO of DoubleVerify stated in the announcement,
The acquisition of Scibids is a decisive step in our journey to power superior campaign outcomes that started with developing and delivering the industry standard in media quality insights and has evolved into putting that data t work for advertisers.
He further commented,
The combination marries DV’s proprietary data with Scibids’ AI-powered optimization technology, letting us empower brands with unparalleled insights and control over their advertising performance
An AI-powered acquisition
With Scibids’ AI technology and real-time algorithm optimization, the DV-Scibids alliance aims to bring together the most trustworthy media and performance metrics from the former. The agreement will be the first to give DV the ability to conduct an entire media transaction, from inception through analysis. Additionally, it will give marketers immediate marketing results without third-party cookies. DV’s move from performance proxies to KPIs for advertising will produce real-world business results in line with advertisers’ objectives.
Remi Lemonnier, CEO & Co-Founder of Scibids remarked in his statement,
This partnership will amplify the capabilities of our customizable AI technology and expand its impact across the digital advertising ecosystem to strengthen the open web.
Scibids Technology SAS is a pioneer in the use of AI to drive marketing strategies. They are well-known for developing artificial intelligence technology that supports marketers’ decision-making for programmatic digital ad campaigns by automating and improving it. The company boasts high profile clients like Allianz, Dell and Spotify.
What’s in it for DoubleVerify?
The buyout offers DV several advantages. All targeted programmatic ad campaigns will benefit from multimodal dynamic efficiency measurement. There will also be benefits in the area of optimization. According to the agreement, DV will incorporate Scibids’ AI technology into its media quality at the point of impression, followed by performance indicators Automating bidding among top DSPs will also simplify manual processes and foster cost savings for DV.
DV had previously revealed an intriguing, workable agreement with Scibids for the launch of the Algorithmic Optimizer. This innovative technology would leverage tailored artificial intelligence to improve attention metrics. During Fortune 500 campaign tests, the tool reportedly increased attention levels by 63% and impressions by 95%.
In this ever-evolving landscape, companies rush to harness the power of AI and embrace innovation. The industry is reaffirming safe practices despite AI dominance. All eyes are turning to this partnership to see how it elevates the advertising landscape.
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Dentsu-Microsoft Forge AI Powered Alliance for Agency Brands
Artificial intelligence is overtaking the world. Every industry is rushing to incorporate AI powered tools into its business models, especially the global advertising industry. A collaborative agreement between Dentsu and Microsoft has been announced in yet another case. By creating consumer-ready solutions, Dentsu’s staff will be able to increase client productivity and expansion by utilizing Azure OpenAI technology.
What’s in it for Dentsu?
The agreement will also be guarantee employee access to a secure, enterprise-level development ecosystem , which is an expansion of the already-existing relationship. The partnership between Dentsu and Microsoft aims to give staff access to cutting-edge tools so they can create prototypes more rapidly and effectively. The centralized organizational structure of Azure OpenAI eases the workload on the business and product groups while fostering rapid client development.
AI Connective is diversified online network dedicated to knowledge exchange among all agency brands. Azure OpenAI technologies are accessible globally via this tool. Dentsu’s current systems and databases incorporate the artificial intelligence frameworks as a crucial part of its overall strategy. Additionally, it reduces security concerns while promoting client-centered growth. The fruits of the result have already been borne with the development of two upcoming CXM solutions- Merkle GenCX and AI-playground LATAM
Merkle GenCX uses the potential of generative AI to provide an unforgettable client experience. Regarding LATAM, it offers tailored solutions that integrate audience databases with cutting-edge technologies. Customers benefit from the tool’s increased daily effectiveness and operational dexterity.
Here’s what they said!
According to Simon Crawshaw, Worldwide Lead for Media and Entertainment, Microsoft, both Microsoft and Dentsu share the vision to work towards a responsible AI. This is followed by Azure AI and Co-Pilot’s ability to drive creativity and productivity. He stated,
We are working closely with dentsu to enable AI to drive business and technological outcomes that will fuel a symphony of ideas, orchestrate captivating narratives, elevating brands and campaigns, and provide a powerful platform for their clients.
Dominic Shine, Group Chief Information Officer for Dentsu commented,
By extending our deep partnership with Microsoft and rolling out Azure OpenAI infrastructure, we’re making AI resources accessible to all dentsu employees within a framework defined on ethical and responsible AI principles.
The Dentsu-Microsoft partnership reflects the former’s dedication to employees’ access to the latest AI platforms. Their main goal is to give their staff the tools they need to take advantage of evolving technologies. AI-powered innovation and brand success have never been greater owing to this collaboration between Dentsu and Microsoft. This collaboration should produce outstanding brand experiences and enable the digital workforce.
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Meta India partners with IndiaAI to propel AI and Emerging Technology innovations
Meta India and India AI, the independent commercial unit operating within the Digital India Corporation have formed a dynamic cooperation. They intend to create a framework for collaborating and working together on AI and cutting-edge emerging technology. According to the official press release, both groups will concentrate on supporting ethical AI practices through collaboratively creating fundamental tools and procedures.
India AI is an effort to create an eco-system in India and an educational portal with research capabilities. Through this collaboration, Meta India and India AI hope to make Meta’s open-source AI models usable by the public. Additionally, it is intended to advance translation-driven innovation, generative AI, cognitive systems, and social inclusion while enhancing governmental service delivery.
India AI and Meta India will additionally develop a center of excellence, according to their recommendations. To encourage the culture of start-ups in AI and emerging technology is the goal. The partnership will enable India AI to capitalize on Meta’s AI research models, including Llama, Massively Multilingual Speech and more. This will enable Meta to concentrate on Indian language databases. It will make it possible to prioritize LLMs and translations for languages with limited resources.
Moreover, they share a vision to raise shareholder awareness about emerging technologies’ benefits and hazards. These parties comprise decision-makers, businesses, the civic society at large, and the general population. Moreover, India AI and Meta India will work to make AI resources more accessible to researchers, start-ups, and enterprises with minimal funding sources.
Both organizations are committed to improving initiatives and suggestions. This will raise AI and cutting-edge technologies expertise among those working in this field. It will help to advance AI development in the nation. The industry is about to see a change like none before as this alliance opens the door to an era fueled by AI.
Here’s what they said
Abhishek Singh, CEO of India AI stated,
India is at the forefront of adopting digital technologies and it is evident that AI and Emerging Technologies will play a pivotal role in expanding the advantages of technology to a broader population. Through this partnership with Meta, the joint research and development endeavors will tackle large-scale challenges by leveraging cutting edge AI technologies.
Nick Clegg, President of Global Affairs, Meta commented,
Meta’s open approach to AI innovations is complementary to India’s leadership on digital issues. India AI is an exciting programme and with close collaboration between government and industry, we can strengthen India’s leadership and help to ensure AI tools are built for India’s unique needs.
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Microsoft and Meta Deepen Partnership to Boost AI Capabilities with New Gen Llama
Microsoft and Meta, formerly Facebook Inc., have announced the launch of their next generation of large language models (LLMs). Llama 2 will be the latest addition to their growing family of LLMs on Azure and Windows. The collaboration will deepen Microsoft and Meta’s existing alliance. Meta identified Microsoft as their preferred partner with Llama 2. Currently, Llama 2 is accessible to businesses and researchers. They intend to allow access to a large cohort of businesses. Customers will also include academics, tech industry experts, and anyone else who recognizes the value of accelerating AI technology advancements. It is currently under public review.
Llama 2’s capabilities will offer developers flexibility in the type of model they wish to create and support open and experimental models. The approach aims to make it possible for organizations and developers to create generative AI tools and experiences. Meta and Microsoft are dedicated to liberalizing AI and its benefits.
John Montgomery, Corporate Vice President, Azure AI at Microsoft, in the announcement stated,
The announcement builds on our partnership to accelerate innovation in the era of AI and further extends Microsoft’s open model ecosystem and position as the world’s supercomputing platform for AI.
Democratizing AI through the power of partnership.🎉 We're excited to welcome Llama 2 from @Meta to @Azure and @Windows: https://t.co/OJyYP9sVBA
— Microsoft (@Microsoft) July 18, 2023
Customers will now be able to modify and implement Llama 2’s 7B, 13B, and 70B parameters in a more direct and safe manner on Azure. The model will also support Windows PCs. Developers can use Llama by focusing on DirectML execution source through ONNX Runtime. In addition to integrating AI into their apps, it will produce a seamless workflow.
Meta and Microsoft’s evolving relationship
For AI development, Meta and Microsoft have a longstanding relationship. The collaboration first began with the integration of ONNX Runtime with PyTorch to refine the developer experience and Azure as Meta’s choice for a strategic cloud provider.
Azure’s specially designed AI supercomputing platform is created to assist the world’s top AI organizations in developing, honing, and utilizing some of the most resilient AI capabilities. The Llama 2 model equips programmers with tools to use Azure AI’s robust modeling, training, modifying, interpreting, and supporting abilities. It will be the latest addition to Microsoft’s Azure AI model catalog. This catalog will act as a central point for foundation models. This will enable developers and machine learning (ML) experts to find, examine, customize, and distribute huge pre-built AI models widely.
A Vow to Responsibility
Both companies pledge to build AI that is centered around transparency and access. They know the risks that accompany AI. Meta and Microsoft are committed to building responsible AI models and provide a number of resources to help those who use Llama 2
- Safety testing: Several internal and external efforts have red-teamed or safely tested the finely refined models. To help improve the model, their teams created an aggressive prompt. They also commissioned third parties to conduct external combat testing to find gaps in performance.
- Transparency: Both companies promise to outline the model’s tuning and evaluation procedures as well as point out any areas of improvement. Their transparency plan reveals known difficulties and problems they have encountered, offering suggestions to resolve them.
- Responsible resource for developers: In order to help developers with responsible development and safety assessments, they have also created a user guide. These procedures discuss the best practices for the best research underway right now on ethical generative AI.
- Suitable Use Policy: To ensure these models are used ethically and responsibly, policies have been implemented prohibiting specific use cases.
Llama 2 will help programmers build customized experiences via a GitHub repo. They can fine-tune LLMs to meet their specific needs on Windows PCs using Subsystem for Linux and highly capable GPUs. Both Meta and Microsoft agree that making LLMs publicly accessible will aid in the creation of useful and secure generative AI
We are eager to witness what innovations and advancements this partnership brings in order to revolutionize the realm of AI!
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