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AI Meets Accessibility: Tech solutions for real-world challenges
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As Generative AI tools become more widely available, their potential to support disabled people is starting to receive long-overdue attention. While much of the public conversation has focused on productivity and automation benefits more widely, these technologies are quietly reshaping accessibility, offering meaningful support for people who have historically been excluded from full participation in digital life.

More than 1.3 billion people live with some form of disability, according to the World Health Organisation. In the UK, that figure is estimated at 16 million, or around a quarter of the population. Despite advances in inclusive design, many digital services remain difficult to access, especially for people who rely on screen readers, need simplified content, or process information differently. AI isn’t a simple silver bullet, but it is helping to bridge these gaps. And, as with any tool, the way it is applied will determine whether it delivers real progress or simply reinforces existing barriers, as Léonie Watson (pictured), Co-Founder at TetraLogical explains…

A new way to engage with information
For many neurodivergent people, consuming large volumes of information can be a real challenge. Long reports, academic and administrative documents are often difficult to process due to issues with focus, language, or executive functioning.

Generative AI offers ways to simplify this experience. It can help by condensing documents into clear summaries, rephrasing ideas into plain language, and responding to follow-up questions to clarify areas that weren’t fully understood in the first instance. This turns reading into an active process where users set the pace and shape the content around their own needs. In an era of constant overstimulation and information overloads, this kind of personalisation is fast becoming essential for many.

Improving access for blind and low vision users
People with visual impairments and low vision face persistent barriers online, especially when content isn’t designed with accessibility in mind. PDFs are a notoriously common problem: many are scanned images or contain layouts that are inaccessible for screen readers. AI tools can now extract meaning from these formats, summarising content and presenting it in more digestible forms.

AI also enables ad hoc image description. Whether it’s a photo, or a diagram with no alt text, users can request a detailed summary of what is shown. This extends to everyday content such as restaurant menus, infographics and social media posts, or, put simply, areas where accessibility is often overlooked.

Seeing the world in real time
Some of the most exciting developments are happening in real-time visual description. AI tools built into smart glasses or mobile apps can now analyse a live video feed to provide instant feedback about the user’s surroundings. For blind or low vision users, this could mean identifying objects in a room, reading signs while navigating, or simply having a better understanding of what is going on around them in a social setting. There are still challenges here, particularly around battery life, privacy and consistency. But as the technology improves, so too does its potential to support greater independence.

Opportunities and Limitations

Despite their promise, AI tools should not be seen as a replacement for inclusive design. Nor should their outputs be taken at face value. AI systems can and do make mistakes: image descriptions can include hallucinations with confident but incorrect details, and document summaries may contain factual errors or even fabricated content.

This means users must approach AI outputs critically and treat AI as a helpful assistant, not a final authority. For some, this adds a layer of digital literacy to the accessibility equation. For designers and developers, it’s a reminder that AI should support, but not sidestep, the core principles of accessibility.

Designing with care

The role of AI in accessibility is likely to grow, but only if it’s developed and applied with care. Recent UK research found that over a third of disabled people are concerned they will be left behind as AI becomes more widely used in healthcare and public services. Many also fear that if disabled people are not involved in the design process, these tools will fail to meet their needs.

When the dust settles on the hype around AI, it will not be just about what this technology can do, but also about who it is built with, and how it is made available. Used thoughtfully, AI can support greater equity. But it must be developed alongside a commitment to accessible standards, inclusive practices, and real user involvement.

Put simply, inclusion doesn’t happen by accident. It takes planning, listening, and a willingness to challenge assumptions. AI can help open doors, but it’s up to us to make sure everyone is invited in.

YouTube’s curbs against low-quality ‘AI slop’ welcomed
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YouTube is preparing to update its rules to prevent creators from flooding the platform with ‘AI slop’, with one expert with experience of managing output on the platform for the likes of BBC, Red Bull and KSI welcoming the move.

The platform’s new monetisation guidelines take a stance against low-quality, AI-generated content by imposing curbs on mass (AI) produced content.

Molly McDonald, founder of Blue Door Productions, said: “YouTube’s new policy helps guard against the risk of AI use because it ensures human responsibility and oversight.

“Not only that, but it also protects the time, effort, and creativity that genuine creators invest in their content. Reducing AI-generated content supports those who truly power the platform – real people crafting original work.

“By discouraging AI use, we’re not just setting a standard; we’re standing behind the creators who make the platform valuable.”

YouTube isn’t banning AI use, but it now requires creators to contribute meaningful human input like commentary and creative editing if they want to make money from their content.

McDonald added: “Of course, AI is a great tool for the industry and can be an incredibly useful aid with script writing, editing, and even to an extent generating content, but it’s important to not to overuse or become dependent on it.

“The mass automation of creative jobs would inevitably lead to low quality content that would hurt professional creatives – the very people who made YouTube what it is today.

“The bottom line is, the human experience cannot be replicated; the authentic, the nuanced, the emotional depth, that as creators is irreplaceable and builds trust and cultural value.

“Overall, as people we want human connection. So, by protecting authenticity in its content, YouTube is actually future-proofing its own success.”

OPINION: AI isn’t your problem. Lazy marketing is
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“AI is coming for your job.” If you work in marketing, or any industry really, you’ve probably heard that phrase more times than you care to count. But is AI really the threat everyone’s making it out to be? Gemma Spinks, Director of Spinks Creative, explores why the real risk facing brands today isn’t AI, it’s apathy. While AI might be rapidly changing the marketing tool portfolio, it’s lazy, thoughtless execution that’s doing the real damage. Too many brands are letting technology replace their creative thinking and drowning in a sea of mediocracy and complacency…

The Rise of Lazy Marketing

We see it on a daily basis these days. Content that reads like it was scraped from a competitor’s website. Ads that could’ve been written by a chatbot. Social media posts so generic they could apply to any brand, anywhere.

Yes, AI has made content creation faster and easier. But that’s not always a good thing. While productivity may have increased, we can’t always say the same for quality. In fact, the flood of AI-generated content is actively diluting many brands’ identities.

A 2025 Gartner report found that 70% of B2B buyers can now “immediately tell” when content is AI-generated. And that impacts the trust they have in that brand, with almost half saying they would avoid further engagement with that brand as a result. For many brands, it might be time to rethink their AI strategy to save it from costing their business in the long run.

 AI Isn’t The Problem. How You’re Using AI Is.  

The power of AI is immense, with new applications cropping up every day. So it’s here to stay, and ignoring it isn’t an option. But it’s also not a replacement for human creativity, and it shouldn’t dictate your strategy or apply the overarching insight you need.

The Content Marketing Institute recently found that top-performing marketers are three times more likely to combine AI tools with a clearly defined content strategy and a distinct brand voice. By contrast, teams relying solely on AI without human oversight were twice as likely to report poor engagement across channels.

In other words, AI is a power tool. But without direction and human input, all it builds is noise.

Personalised AI Is the Game-Changer

This is where most brands are getting it wrong: they’re using generic AI tools in generic ways. But the real opportunity lies in personalising your AI. Custom GPTs and bespoke AI assistants tailored to your business, tone of voice, customer data, and brand strategy are where things start getting interesting.

Custom GPTs allow businesses to create tools that know them; how they speak, who they speak to, and what matters to their customers. The result? AI-generated content that’s actually aligned with your brand voice and business goals. This isn’t about spitting out blog posts or Instagram captions. This is about using AI to support strategic thinking, power better creative briefs, and even act as an extension of your internal team.

This level of personalisation means you’re no longer settling for content that could’ve been written for anyone. You’re creating messaging that’s informed, on-brand, and relevant.

AI becomes not just faster, but smarter.

Quality over Quantity

Your audience can spot AI content a mile off. They know when your messaging is recycled.

According to the latest Edelman Trust Barometer, 82% of decision-makers in B2B buying journeys now prioritise “authentic communication” over content volume. The old cliche is true: quality reigns over quantity. And add mediocrity into that mix, and your audience will just tune you out.

Your audience will engage with how you show up, not how frequently you churn out generic content.

What This Means for B2B Brands 

If you’re operating in the B2B space, the challenge is even greater. You’re building trust, expertise, reliability, and relationships – automated average content won’t achieve that.

Your competitors are already using AI, so how do you get the edge on them? It’s about how you implement AI into your content strategy.

  • Are you using AI to save time, or to say something better?
  • Are you asking it to write for you, or inspire you?
  • Are you just publishing more, or saying more?

AI should enhance your human insight and expertise, not attempt to replace it.

Lazy Marketing Is The Real Threat

The future of marketing doesn’t belong to the bots. It belongs to the brands that can use AI to enhance their own creative thinking, research, and expertise. It’s not a replacement for creative marketing.

For those looking for lazy marketing and generic content that doesn’t cut through the noise? AI is your perfect shortcut.

E-commerce and marketing businesses spending big on AI with little gain, says research
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UK-based e-commerce companies are investing significant capital in AI to improve the customer experience, however, many businesses are yet to realise significant gains.

That’s according to a survey of senior executives at 300 large and mid-sized e-commerce companies in Europe and the US by CMS Storyblok.

UK businesses have spent an average of £321,000 in the past year on developing or implementing AI solutions to enhance their digital customer experience, with 21% spending more than £500,000. Yet almost half (44%) state that their AI investment has only made a slight improvement to their customers’ digital experience.

Surprisingly, nearly all of UK business leaders (93%) say that their AI investment has delivered a good Return on Investment (ROI), of which 28% perceive it as a very good ROI. This potentially indicates businesses are taking a longer-term view of AI investment to improve their digital offering.

The research also explores the most popular use cases for AI amongst UK business leaders, which were cited as website content creation (59%), customer service (53%), marketing analysis (51%), translation services (49%), and marketing content creation (48%).

Dominik Angerer, CEO and Co-Founder of Storyblok said: “The transformative potential of AI for the digital experience is enormous, but our research highlights a clear gap between expectation and reality. While UK businesses are seeing some improvements, these remain incremental rather than truly transformative. What’s particularly interesting is that despite this, most business leaders still consider the capital they have committed to AI a good investment. This could suggest that many UK companies do not expect big gains immediately, but are instead taking a longer-term view of AI to transform their digital offering.

“To unlock AI’s full potential, businesses must go beyond surface-level implementations and integrate AI in a way that drives meaningful transformation. Core to this is the flexibility to scale with ease, and that’s where composable architecture comes in, enabling companies to seamlessly integrate AI-driven solutions across multiple channels without the restrictions of legacy systems. From hyper-personalisation to seamless localisation, nearly every possible AI use case could be implemented more effectively, and to a higher standard if businesses raised the digital bar and embraced modern marketing technology.”

AI assistants set to pull people away from using branded apps as on-device consolidation looms
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By 2027 mobile app usage will decrease by 25% due to AI assistants – instead, smartphone users will turn to AI assistants, such as Apple Intelligence, ChatGPT, Google Gemini, Meta AI, and others to replace apps for many functions.

That’s according to analysts at Gartner, who say in addition to the impact of AI assistants, apps will be consolidated across separate brands and companies, creating mobile app partnerships or consortiums to reach more users per app at scale and defray the cost of creation and maintenance.

“CMOs should begin scenario planning for the impacts of decreased mobile app usage,” saidEmily Weiss, Senior Principal for the Gartner Marketing Practice. “Brands with low app engagement and retention will likely be first impacted – this will be a positive development for brands that are not overly reliant on driving revenue via apps as app development costs will decrease. Other brands may be severely impacted by the disintermediation of users turning to AI assistants for services. The loss of app users will also result in the loss of first-party data collection and the ability to reach fewer users via mobile push notifications.”

By 2026, Over 1/3 of Web Content will be Created for the Purposes of Gen-AI Powered Search

According to Gartner’s 2024 CMO Spend Survey of 395 respondents between February and March 2024, the average CMO allocated almost a quarter of their digital marketing budget to search. Other than end users directly visiting a website, search currently drives more traffic to the average commercial enterprise website than any other referral source. Given this, a loss of search driven traffic due to algorithmic shifts by major search engines would result in tangible, negative commercial impact to any organization.

“CMOs will need to direct their teams to hire talent with a strong understanding of how GenAI, and broader AI influences, impacts the performance of their content in search algorithms,” said Weiss. “It will be important to upskill the function by investing in search and content talent with AI skillsets. These associates will need to have familiarity with creating or optimizing content to train and rank within evolving search algorithms.”

By 2028 Digital Marketers will Move 30% of their Paid Social Budget to Support Advertising and Partnerships on Subscription-based Channels

It is becoming more challenging for CMOs to maintain, let alone grow, their reach and engagement among consumers. This is especially true as consumers shift their tech and media behaviors away from social media, to other platforms and subscription based channels. Gartner’s 2024 CMO Spend survey found that since 2022, paid social has maintained the highest budget allocation for all digital media spend. In 2024, B2C Marketing leaders reported allocating 14.3% for their digital channel budget to social media advertising (an increase from 12.3% in 2023).

“Closed group communities and subscription channels offer a potential alternative for social media weary consumers and content creators who want to do more than feed the algorithm,” said Weiss. “Brands can leverage closed-group subscription channels – such as Substack, Patreon, and Discord – and the professional creators on them to reach relevant target audiences who are already engaging with content they self-selected into consuming.”

By 2027, 85% of Customer Data will be Collected from Automated Interactions or Those Led by AI Agents

Current AI models, such as large language models (LLMs), lack the agency to autonomously execute tasks and adapt in complex environments. However, as new levels of intelligence are added, new AI agents are poised to quickly become more capable and reliable as brands seek to address customer facing use cases.

“There will be more AI agents than people, so while current approaches require humans in the loop, this idea will quickly become antiquated. Marketers will need to determine when and how they can trust AI agents to act on behalf of the brand and customers across key areas,” said Weiss.

Photo by James Yarema on Unsplash

Many retailers struggle to leverage AI to drive meaningful business outcomes, says research
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Despite UK retailers quickly adopting artificial intelligence (AI), many are yet to move past leveraging it to automate simple everyday tasks, meaning they are yet to extract the full value of the technology.

That’s according to research from Wunderkind, which polled over 100 senior retail executives for its 2024 CMO State of the Union Report, which indicates that almost all (97%) of retail teams are implementing AI in their operations in some way.

Leveraging AI for data collection was the most adopted AI used by UK retailers (73%), followed by optimising marketingdesign (72%) and marketing deployment, which includes reaching and engaging customers (58%).

However, whilst AI adoption within retail is being undertaken at pace, currently much of its deployment has focused on automating day-to-day manual and time-intensive jobs.  While this may help retailers save time and allow them to run their operations more efficiently, it’s not necessarily using AI to its greatest potential, Wunderkind suggests, especially when it comes to retailers making the most out of their data or delivering the insights needed to drive marketing and customer engagement performance.

Wunderkind’s poll suggests that currently less than two fifths (38%) of retailers are using AI to power advanced segmentation and personalisation, while 17% said their biggest challenge in deploying AI was navigating the technology’s use within their organisations.

Wulfric Light-Wilkinson, International GM of Wunderkind, said:  “AI has rapidly reached a tipping point, achieving mass adoption, though for retailers its applications remain largely limited to a narrow, mostly generative, set of use cases.  And, whilst most retailers are commonly using the tech to assist with simple everyday tasks, many haven’t yet reached the point where the technology starts to deliver meaningful outcomes.”

“To achieve this transformation, retailers need to focus on enhancing the quality of data their AI systems consume, enabling the generation of valuable insights that can lead to meaningful results.  Often, this will require collaboration with third-party AI providers, who have access to vast amounts of data from trillions of digital interactions, helping optimise processes, improve performance, and ultimately deliver a solid return on investment.” he added.

Tech influencers expect big things from SearchGPT
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The recent unveiling of OpenAI’s SearchGPT for an artificial intelligence (AI)-driven search experience, featuring real-time information summarisation, interactive follow-up questions, and visual answers, has garnered widespread attention, sparking considerable discussion among influencers on social media platform ‘X’ in the fourth week of July.

Shreyasee Majumder, Social Media Analyst at GlobalData, said: “Influencers anticipate that SearchGPT may bring about a notable transformation in the search industry, positioning itself as a groundbreaking alternative to conventional search engines. Their enthusiasm is fueled by the belief that SearchGPT can significantly improve the user experience by consolidating diverse sources of information directly within the platform, potentially accelerating and streamlining the search process. They emphasize the benefits of a user-friendly interface and the potential for reduced costs per query compared to traditional search engines.

“The new offering reflects a strategic approach by OpenAI, ultimately positioning SearchGPT as a direct challenge to existing search giants and a catalyst for broader industry evolution, driving advancements in search technology and content presentation. But some influencers are expressing concerns that SearchGPT may struggle with the same issues that have plagued previous attempts to rival Google. They point to the failures of earlier innovations and highlight the persistent challenge of hallucinated AI as a major obstacle.”

Below are a few popular influencer opinions captured by GlobalData’s Social Media Analytics Platform:

  1. Jonathan Siddharth, CEO & Co-founder at Turing.com:

“Excited to try SearchGPT by @OpenAI! When I played with ChatGPT for the first time, it was clear information retrieval as we knew it was over. I’m surprised by how less I use traditional web search today, beyond browser auto-acomplete. I’m not sentimental but having worked on search, I feel a bit of nostalgia for inverted indices, keyword based search, machine learned ranking for query-document pairs with feature engineering and model selection/tuning. But, the future will be more fun.”

  1. Amit Goel, Early Stage Investor, 77 Capital:

“OpenAI’s new AI-powered search engine could give Google a run for its money. but why is no one talking about @perplexity_ai ? Here’s what you need to know first: #SearchGPT will summarize real-time information from various websites, including news sources, w/ cited links Users can ask follow-up Qs, mirroring the interactive experience of ChatGPT…..”

  1. Zoe Kleinman, Technology Editor at BBC:

“So, @OpenAI is officially testing the waters of search with SearchGPT. It will be available inside of ChatGPT, as a trial, and not launched as a standalone product. When you see it – well it does have a search engine type feel about it. It’s ChatGPT in real-time including links to sources which run in a column down the side.….”

  1. Bilawal Sidhu, Future of Creation & Computing at Metaversity LLC:

“Cool demo! Maybe SearchGPT can shake things up in the local search space? Helping you get stuff done in the real world Good data sources, clean widgets and super fast from the looks of it. Wonder how low they can bring down the cost per query vs google?”

  1. Andriy Burkov, Machine Learning Lead at TalentNeuron:

“Look at the “success” of Perplexity and you can imagine the future success of SearchGPT. All wannabe Google killers died miserably. Hallucinative AI (HalAI) is the worst attempt at killing Google I could remember.”

Photo by Solen Feyissa on Unsplash

Two-thirds of marketers experimenting with AI
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65% of marketers in the UK use AI within their experimentation approach, with almost half (45%) having adopted the technology within the past year.

That’s according to a new report from Optimizely, which reveals how marketers are implementing AI to level up their approach to A/B testing and experimentation.

The Tested to Perfection report, based on a study of 100 marketers and 1,000 consumers in the UK, examines the current state of experimentation practices, and how marketers are using, and planning to use, AI to address rapidly changing business and consumer expectations.

Nearly nine in 10 marketers (87%) believe experimentation is important for achieving their goals in 2024, yet one in five (20%) feel their current web experimentation approach is not effective. Nearly a quarter (23%) would go as far as to describe their current approach as ‘unsophisticated.’

When asked what has been preventing marketers from experimenting effectively, Optimizely’s report identifies several recurring themes.

Lack of budget is a challenge for almost half of marketers (43%), while a lack of resources, time and focus is also a barrier for 39% of respondents. Other challenges include a lack of effective tools or technology (25%), silos between relevant teams (25%), and the small scale of experiments (18%).

However, 89% of marketers believe AI will be the answer to overcoming these barriers.

Almost half (48%) of the marketers surveyed plan to use AI to create more targeted and personalised content in the future. Forty-one percent have their sights set on generating headlines, images and CTAs at scale. Over a third (37%) plan to use AI to dynamically allocate traffic between test variations. And three in 10 (32%) will turn to AI to create hypotheses for experiments.

Over two-thirds (70%) of marketers in the UK believe that AI will help make experimentation faster, and 62% believe AI will make experimentation more accurate.

137% increase in mobile app messages as AI begins to impact conversational brand interactions
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Conversational messaging channels are seeing the fastest growth in terms of brand interactions with customers, with Infobip research recording a 137% increase in mobile app messages in 2023 compared to 2022, including a 73% rise in social media messages, and a 63% increase in chat app messages.

Infobip analysed more than 473 billion digital communications interactions on its platform in 2023 between businesses and consumers to identify the latest global business messaging trends, concluding that conversational experiences are increasing throughout the customer journey, whether for marketing, commerce, or support.

Conversational support 

Whether a person is dealing with a human agent, a chatbot, or a combination of the two, conversational support provides an effective, efficient, and positive experience. WhatsApp remains the primary channel brands use for conversational support, where businesses send 90% of support messages over the chat app. However, brands are beginning to diversify their channel mix, leveraging chat apps in specific regions.

For instance, Infobip has recorded increases of 541%, 146%, and 284% in Messenger, Viber, and Line, respectively. Brands are now using conversational AI to provide personalized customer service and support. For instance, Megi Health Platform uses a virtual assistant on WhatsApp to help improve the patient experience. Meanwhile, insurance firm LAQO uses our Azure OpenAI partnership to provide a fast, 24/7 and personal service.

Conversational marketing

The two-way exchange of information is the basis for conversational marketing, and brands are ramping up their efforts to meet customers on the channels they use with their family and friends. Overall, the data shows a 29% increase in mobile app messaging for marketing in 2023 compared to 2022.

WhatsApp remains the top digital channel for conversational marketing in absolute numbers, driven by new features that enable customers to start and complete a purchase in a single WhatsApp chat window.

Infobip is also seeing significant increases in other messaging apps such as Telegram, Line, Viber, and Messenger. More specifically, WhatsApp messages increased by 421% in Asia Pacific in 2023, while mobile app messaging increased by 146% in the Middle East and North Africa and by 18 times in North America. Meanwhile, RCS Business Messaging is an emerging channel for conversational marketing.

Regional difference

With brands adopting conversational experiences globally, there are some regional differences:

  • Africa: conversational channels gain traction with social media messages increasing nearly 2.5 times
  • Asia Pacific: strong growth in mobile app messaging, with WhatsApp increasing by four times
  • Europe: rapid growth for RCS, as interactions increase by 11 times
  • Latin America: strong growth in mobile app messaging, with Viber increasing by more than 2.5 times
  • Middle East North Africa: rapid adoption of conversational channels, as voice and video interactions double
  • North America: exponential growth in rich messaging, with RCS interactions increasing by 50 times

The changing role of SMS

Infobip’s data from 2023 shows that SMS remains an important channel for business communication, but usage is changing where SMS is now being used alongside chat apps. Across all industries, brands most commonly use SMS with WhatsApp, with 25% of businesses choosing this combination. Moreover, where businesses and brands use two channels, SMS is one of the two options in 63% of cases.

Ivan Ostojić, Chief Business Officer at Infobip, said: “Our data shows how conversational experiences are rapidly spreading across the globe as businesses roll out marketing, sales, and support use cases. Where 2022 revealed a spike in omnichannel adoption when brands recognized the importance of connecting with their customers on their preferred channel, 2023 shows how brands are perfecting the end-to-end customer journey. Customers can now seamlessly progress through a journey within a single conversational thread on a chat app or RCS. With the emergence of interactive AI, we expect brands to incorporate a federation of different chatbots and AI algorithms working together to trigger actions at the ideal points during the customer journey. In the next year, we foresee the widespread adoption in customer service, marketing and sale automation, and for operational use cases like scheduling deliveries and managing payments.”

Apple preparing ‘pivotal shift’ in approach towards AI
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Apple is strategically advancing its position in the artificial intelligence (AI) domain, signifying a pivotal shift in the company’s approach to integrate AI into its core operations and product ecosystem.

The recent innovations and acquisitions underscore the Cupertino-based tech giant’s focus on bringing AI to its offerings while prioritising user privacy and ethical AI, say GlobalData analysts.

Saurabh Daga, Associate Project Manager of Disruptive Tech at GlobalData, stated: “While Apple till now has appeared slow to join the AI bandwagon in comparison to the likes of Microsoft, Google, and Amazon. The recent acquisition of DarwinAI may as well be the first in a series of initiatives to recalibrate the company’s strategy toward AI. Moreover, with its existing credentials related to in-house development, it is likely looking to build a strong intellectual property (IP) base for future developments. With one of its closest rivals in consumer tech Samsung already launching AI-integrated devices in early 2024, Apple will be looking to offer OnDevice AI features in the coming iterations of its computing devices as soon as possible.”

Darwin AI’s expertise in machine vision and machine learning (ML) aligns with Apple’s aim to enhance AI capabilities. This acquisition reflects Apple’s intent to enhance its AI capabilities with solutions that are not only powerful but also optimized for efficiency, all while maintaining a steadfast commitment to privacy.

The Innovation Explorer database of GlobalData’s Disruptor Intelligence Center highlights Apple’s contributions to the advancement of AI technologies in recent times including developing techniques to run large language models (LLMs) on iPhones, unveiling an open-source multimodal LLM, and offering a generative model for 3D scene generation, signifying a robust leap forward.

GlobalData’s Patent Analytics database reveals Apple’s recent patent filings in AI, which incorporate a range of innovations, from delivering audio information via digital assistants to leveraging machine learning for physiological predictions and image forecasting. This concerted effort pinpoints Apple’s commitment to advance AI technologies that prioritize enhancing user experiences.

Daga concluded: “Apple’s stance on AI integration remains shrouded in secrecy, yet its commitment to incorporating more AI into its products is evident. Despite the lack of a fixed timeline, the prospect of integrating AI, especially generative AI raises pertinent concerns regarding data security and privacy, a challenge Apple would like to address proactively, given the inherent sensitivity of its products and user base.”

Image by <a href=”https://pixabay.com/users/markusspiske-670330/?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=581131″>Markus Spiske</a> from <a href=”https://pixabay.com//?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=581131″>Pixabay</a>