Gartner Forecasts 295 Million AI PCs and GenAI Smartphones Worldwide by 2024

Worldwide shipments of AI PCs and generative AI (GenAI) smartphones are projected to total 295 million units by the end of 2024, up from 29 million units in 2023, according to a new forecast from Gartner, Inc.Gartner defines AI PCs as PCs that are equipped with dedicated AI accelerators or cores, neural processing units (NPUs), accelerated processing units (APUs) or tensor processing units (TPUs), designed to optimize and accelerate AI tasks on the device. This provides improved performance and efficiency in handling AI and GenAI workloads without relying on external servers or cloud services. GenAI smartphones are designed smartphones equipped with hardware and software capabilities that enable seamless integration and efficient execution of GenAI-driven features and applications on the smartphone. These smartphones are capable of locally running a base or fine-tuned AI model that generates new derived versions of content, strategies, designs and methods. Examples of this include Gemini Nano from Google, ERNIE from Baidu and OpenAI’s GPT-4.“The rapid adoption of on-device GenAI capabilities and AI processors will eventually become a standard requirement for technology vendors,” said Ranjit Atwal, Senior Director Analyst at Gartner. “This ubiquity will pose challenges for vendors in differentiating themselves from competitors, making it harder to create unique selling points and drive increased revenues.”Gartner estimates 240 million GenAI smartphones and 54.5 million AI PCs will be shipped by the end of 2024 (see Figure 1). This will represent 22% of basic and premium smartphones and 22% of all PCs in 2024.The integration of AI into PCs is not expected to drive end-user spending beyond anticipated price increases. Business device buyers will demand compelling reasons to invest. However, it will take time for software providers to harness the power of on-device AI and clearly demonstrate its enhanced benefits.The PC market returned to growth in the fourth quarter of 2023 after eight consecutive quarters of decline. Gartner estimates overall PC shipments will total 250.4 million units in 2024, a 3.5% increase from 2023.On-device AI should rejuvenate the marketing of PCs through 2024 and help sustain existing anticipated replacement cycles, negating some of the negative effects of a disruptive socioeconomic environment.Smartphone Market to Return to Growth in 2024Like AI PCs, GenAI smartphones will not bolster smartphone demand until 2027. “The enhancements to smartphones evolve the current experiences with cameras and voice integration, but these capabilities are expected by users rather than demonstrating a new groundbreaking functionality. Users have the same expectation for the functionality of GenAI on their smartphone,” said Atwal. “They are unlikely to pay a premium for GenAI smartphones without the availability of any groundbreaking applications.”The catalyst for transformative shifts in user experience lies in the advancement of smaller versions of large language models (LLMs) specifically tailored for smartphones. This evolution will transform smartphones into even more intuitive companions capable of comprehending and responding to human language and visual cues, which will elevate the overall user experience to new heights.The smartphone market recorded its first quarter of growth in 4Q23 after nine consecutive quarters of decline. In 2024, worldwide smartphone shipments are expected to grow 4.2%, totalling 1.2 billion units year over year. “We should not interpret the growth in smartphone shipments as a full-fledged recovery,” said Atwal. “It is more accurate to view it as a stabilization of lower level of units, which are nearly 60 million lower than in 2022.”

Expect responsible, ethical use of AI: Cisco

Developments in Artificial intelligence (AI) have been impacting businesses, governments, and economies across the world, and the Middle East is no expection. Advancements in AI, especially generative AI (GenAI), are leading to a once-in-a-generation shift. This is opening vast new opportunities and transforming industries, modes of operation, and career paths.The Cisco AI Readiness Index has revealed that 95% of respondents have an AI strategy in place or under development, but only 14% are fully ready to integrate AI into their business. In the UAE, the Index indicated that strategy readiness stands out as the most developed aspect, with 73% of organizations deemed “fully prepared”.Cisco’s AI predictions for 2024 focus on what organizations can do to adopt and integrate AI while adopting trust and security measures and regulations, and how innovators can leverage that technology to remain competitive. Reem Asaad, Vice President, Cisco Middle East and Africa, commented: “The immense potential of AI and data analytics is expected to generate monumental benefits for the Middle East. The region is continuously pioneering technology adoption, and we are seeing companies exploring new ways to harness the power of AI for operational efficiency, revenue and market share growth, and harnessing innovation to adapt to customer needs.”She added: “This year's AI trends reflect a deepening sophistication and caution in AI development and deployment strategies, with an eye to ethics, safety and the evolving regulatory landscape. Trust between people and the AI systems and tools they use is fundamental and non-negotiable. That means providing clarity on what AI can and cannot do with new data transparency and responsibility frameworks, new efforts to educate people and businesses about how disruption might happen, teaching the skills that will be needed for new AI-enabling and -enabled jobs, and new ways to collaborate with the best interests of people at heart.At Cisco, we are already integrating differentiated AI capabilities into our portfolio — and doing it responsibly. We see a future with AI that’s innovative, efficient, and trustworthy, not to mention more sustainable and equitable.”1. GenAI will fast expand into the business world with GenAI-powered NLIs, customized LLMs, tailored B2B applications and business context.Natural language interfaces (NLIs) powered by GenAI will be expected for new products and more than half will have this by default by the end of 2024. GenAI will also be leveraged in B2B interactions with users demanding more contextualized, personalized, and integrated solutions. As a result, observability for AI will grow.2. A movement for responsible, ethical use of AI will begin with clear AI governance frameworks that respect human rights and values.Adoption of AI is sitting at the intersection of innovation and trust. Yet, 76% of organizations don’t have comprehensive AI policies in place. There is mostly general agreement that we need regulations/policy and industry self-policing and governance to mitigate the risks from GenAI.We must also ensure that consumers have access to and control over their data.With the rising importance of AI systems, available public data will soon hit a ceiling and high-quality language data will likely be exhausted before 2026. Organizations need to shift to private and/or synthetic data which opens the possibility for unintended access and usage.3. Consumers and companies will face increased risks from AI-generated disinformation, scams, and fraud, prompting tech companies and governments to work together for solutions.In 2024, AI-enabled disinformation, scams, and fraud will continue to grow as a threat to businesses, people, and even candidates and elections. In response, we’ll see more investments in detection and risk mitigation.We’ll also see more collaboration between the private sector and governments to raise threat awareness and implement verification and security measures. Businesses must prioritize advanced threat detection and data protection, regular vulnerability assessments, updating security systems, and thorough audits of network infrastructures. For consumers, vigilance will be key to protecting identities, savings, and credit.4.  Unleashing the future of AI-driven customization, enterprises will embrace the power and potential of API abstraction.In the year ahead, businesses will seek innovative ways to leverage the immense power and benefits of AI without the complexity and cost of building their own platforms. Application programming interfaces (APIs) will play a pivotal role. With access to a vast array of AI capabilities through APIs, teams will automate repetitive tasks, gain deeper insights from data, and enhance decision making.This year will also mark the beginning of a race to API-driven customization where organizations can choose and combine APIs from various providers, easily tailoring AI solutions to meet unique and novel requirements.5.  Continued modernization will yield collaboration, modern converged platforms, and a little help from AI, to reveal a new programming experience – and better software.As organizations continue to modernize, software development will change with novel tools, approaches, and technologies. Programmers will leverage platforms and collaboration – and even a little help from AI – to centralize toolkits and unlock newfound efficiency so they can focus on delivering exceptional digital experiences.Some will continue struggling with disparate point solutions, leaving security gaps and software supply chain issues. Innovators will use AI to speed up delivery and handle tedious tasks like testing for defects and errors. Along the way, collaboration tools and AI assistants will be trusted companions as teams tackle the intricacies of security, observability, and infrastructure. Humans checks and balances must ensure AI-based decisions are fair, unbiased, and aligned with ethical and moral values. We believe AI should augment human decision making, not replace it entirely.

Dell Technologies 2024 predictions: Democratization of AI

Dell Technologies has released 2024 predictions by Dell’s John Roese, Global Chief Technology Officer, highlighting emerging trends that are set to shape the technology industry in 2024 and beyond.“The center of the universe for 2024 is AI. Next year will be all about putting AI into practice at the edge, diversifying the hardware pool and securing it through Zero Trust. We’re entering an AI era so need to recognize that long term, AI will drive architectural change across the entire IT ecosystem for many years to come,” said John Roese, Global Chief Technology Officer. ”Actively think of AI but do not do it independent of other architectures – this is how you’ll make sure your visions and actions align for long-term success.”AI takes center stage, moving from theory to practiceRoese expects that the GenAI dialogue will move from theory to practice with shifts from training infrastructure and cost to inference and cost of operation.“While GenAI has sparked incredibly creative ideas of how it will transform business and the world, there are very few real-world, scaled GenAI activities. As we move into 2024, we will see the first wave of GenAI enterprise projects reach levels of maturity that will expose important dimensions of GenAI not yet understood in the early phases,” said Roese.Increasingly, enterprises will shift from broad experimentation to a top-down strategic focus on picking the few GenAI projects that can truly be transformational.Looking further into the future, Roese expects that quantum computing will address the major issue of extreme demand for computing resources required for GenAI, and most large-scale AI. He anticipates that quantum computing will bring about a massive leap in the ability of AI systems. Roese expects that the computing foundation of modern AI will eventually become a hybrid quantum system where the AI work is spread across a set of diverse compute architectures, including quantum processing units.The expansion of modern edge and continued reign of multicloudAs data continue to be at the center of our future, extracting value from it will be crucial in unlocking transformative business opportunities. Roese shared that enterprises will recognize that there are two ways to build a modern edge – the proliferation of mono-edges or as a multicloud edge platform. Choosing the latter to adopt an “edge platform” approach where modern edge becomes an extension of the multicloud infrastructure is the way forward.Zero Trust fortifies the frontierWith the democratization of AI, and as more data and intelligence move to the edge, data management will become increasingly important. As a result, the expanded threat surface heightens the importance of developing real Zero Trust architectures and mandating Zero Trust.“Zero Trust will become the default end state people are moving towards,” said Roese. “It’s the right answer on how to change the curve on cyber so we expect to see more Zero Trust mandates to proliferate around the world.”Roese also noted that Dell’s project Fort Zero will be delivered into the market in 2024 as the first commercial full Zero Trust private cloud system in the industry, paving the way for Zero Trust adoption across various industries.

OSN+ and Google Cloud collaborate on integration of new GenAI solution

 OSN+, the ultimate destination for premium entertainment, announced the integration of Google Cloud's Vertex AI Search for Media Recommendations, a next generation large language model that builds on Google’s research in machine learning and AI. The announcement which took place during the annual Google Media Summit last week marks the first time in the Middle East and North Africa (MENA) region where Google Cloud's Vertex AI Search for Media Recommendations is provided to an entertainment streaming platform.Joe Kawkabani, CEO of OSN Group, commented: "In an ever-evolving entertainment landscape, OSN+ is dedicated to providing our viewers with cutting-edge experiences. Our collaboration with Google Cloud’s Vertex AI is a significant step forward in this direction. By integrating this GenAI solution, we aim to redefine the way users interact with our platform, making it more engaging and dynamic."Tarek Khalil, Director, Middle East and North Africa, Google Cloud said: "We are pleased to continue our partnership with OSN+ to bring the latest GenAI solution to the streaming platform. Vertex AI Search for Media Recommendations will solve for the constraints of consumers who want assistance in discovering relevant content in a highly personalized and conversational way. AI is a powerful enabler and can be a major platform shift. That’s why we’re focused on making it easy and scalable for organizations to innovate with AI and that means expanding access to Google’s latest foundation models that have been rigorously tested in our own products."The vision of our collaboration and with the integration of Google Cloud's Vertex AI Search for Media Recommendations will enable OSN+ subscribers to interact with their own virtual assistant that will provide more accurate and personalized recommendations.

Generative AI Takes Center Stage: Over Half of Organizations Pilot or Produce

 In a recent Gartner, Inc. poll of more than 1,400 executive leaders, 45% reported that they are in piloting mode with generative AI, and another 10% have put generative AI solutions into production. This is a significant increase from a Gartner poll conducted in March and April 2023, in which only 15% of respondents were piloting generative AI and 4% were in production.“Organizations are not just talking about generative AI – they’re investing time, money and resources to move it forward and drive business outcomes,” said Frances Karamouzis, Distinguished VP Analyst at Gartner. “In fact, 55% of organizations reported increasing investment in generative AI since it surged into the public domain ten months ago. Generative AI is now on CEOs’ and boards’ agendas as they seek to take advantage of the transformative potential of this technology.”The poll included 1,419 respondents who participated in a Gartner webinar in September 2023 discussing enterprise cost and risks of generative AI. Results of this poll do not represent global findings or the market as a whole. Executives Believe Generative AI Investments Outweigh the Risks Seventy-eight percent of respondents believe that the benefits of generative AI outweigh its risks. This is higher than the 68% who reported this sentiment in the earlier poll. “Executives are taking a bolder stance on generative AI as they see the profound ways that it can drive innovation, optimization and disruption,” said Karamouzis. “Business and IT leaders understand that the ‘wait and see’ approach is riskier than investing.” Generative AI Investments Scaling Across Multiple Business FunctionsThe poll found that 45% of enterprises are scaling generative AI investments across multiple business functions, with 22% scaling across more than three different functions. Software development is the function with the highest rate of adoption or investment in generative AI, followed closely by marketing and customer service (see Figure 1). Figure 1. Generative AI Investment by Business Function Source: Gartner (October 2023)Growth initiatives were cited as the primary business focus of generative AI investments by 30% of respondents, followed by cost optimization (26%) and customer experience/retention (24%). “Many organizations began their AI journey with an overemphasis on cost optimization and efficiency,” said Karamouzis. “Savvy enterprises have moved beyond this to focus initiatives on efficacy, quantifiable value and business agility in products and services. This ensures visibility, trust and synergy among stakeholders, and most importantly, alignment to business outcomes.”Generative AI Hype Cycle Identifies Key Technologies Impacting OrganizationsGartner predicts that by 2026, more than 80% of enterprises will have used generative artificial intelligence (GenAI) application programming interfaces (APIs) or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023. In the 2023 Gartner Hype Cycle for Generative AI three innovations are projected to have a huge impact on organizations within ten years which include GenAI-enabled applications, foundation models and AI trust, risk and security management (AI TRiSM) (see Figure 2). Figure 2. Hype Cycle for Generative AI, 2023Source: Gartner (October 2023)

Zebra Technologies demonstrates Generative AI on devices powered by Qualcomm

Dubai: Zebra Technologies Corporation, a leading digital solution provider enabling businesses to intelligently connect data, assets, and people has successfully demonstrated a Generative Artificial Intelligence (GenAI) large language model (LLM) running on Zebra handheld mobile computers and tablets without needing connectivity to the cloud.This breakthrough empowers Zebra partners and customers to unlock exciting productivity gains that will shape the future of work across industries from retail to warehouse and logistics to hospitality and healthcare. On-device execution of GenAI LLMs has the potential to empower front-line workers with new capabilities so they can deliver new outcomes for their end customers.On-device AI can offer additional personalization as well as enhanced privacy and security as data remains on the device. It also drives faster performance and lower costs as GenAI searches on the cloud can be expensive. A whitepaper published by Qualcomm Technologies, Inc. suggests that GenAI-based search cost per query is estimated to increase by ten times compared to traditional search methods. By removing the need to utilise the cloud, costs can be reduced.  “Zebra’s devices are powerful platforms with cutting-edge software and AI models which we’re driving forward with our partner ecosystem to solve customer challenges and add value,” said Tom Bianculli, Chief Technology Officer, Zebra Technologies. “We’re taking GenAI to the mobile edge on-device and applying it to areas such as voice AI, computer vision, and machine vision software powered by deep learning as well as task and workflow software using orchestrated AI.”Potential use cases for LLMs include improving associate effectiveness by enhancing their product and customer service knowledge, acting as an efficient internal communications tool by answering employee queries on things like store policies, collecting and analysing feedback from associates to identify areas of improvement, enhancing productivity and increasing job satisfaction levels.LLMs also have the potential to elevate the customer experience by powering personalized shopping assistants that could provide product recommendations, integrating shopping experiences across in-store, online, and mobile platforms as well as potentially enabling fully voice-activated shopping.Zebra’s TC53/TC58 and TC73/TC78 mobile computers and ET6x Series tablets powered by Qualcomm Technologies – together with Zebra’s asset visibility and intelligent automation solutions – deliver elevated data insight, analysis and recommendations, problem solving, planning and creativity. Front-line workers can utilize a smaller on-device model, even in rural, built-up and underground working environments where connection to the cloud may not be possible. Alternatively, users may switch to a cloud-based app or web browser GenAI tool via Zebra’s Wi-Fi 6/6E and 5G enabled devices. “On-device generative AI is unlocking new and enhanced experiences across industries,” said Megha Daga, Senior Director, Product Management, Qualcomm Technologies, Inc. “Qualcomm Technologies’ goal is to drive the transformation of industries, and we are doing that beginning with mobile devices. Zebra’s demonstration is showcasing the type of transformation we aim to achieve.”This innovative solution from Zebra using a platform from Qualcomm Technologies reduces memory requirements and is built upon a wide array of open source and third-party models which are a significant part of Zebra’s strategy to deliver effective on-edge AI solutions across multiple industries.“Zebra recognizes the importance of ethical and responsible AI,” said Andrea Mirabile, Director of AI Research, Zebra Technologies. “We are committed to ensuring our AI initiatives are aligned with federal guidance on accountability, ethical purpose and transparency and help set the standard related to delivering solutions to end-users. We also support the Business Roundtable AI Road Map and policy recommendations for responsible, appropriate, and ethical AI development and deployment.”KEY TAKEAWAYSZebra’s AI research team has successfully implemented a GenAI,open-source model on its mobile computers and tablets powered by Qualcomm® processors.GenAI on-device provides a range of new capabilities across industries to better engage associates and elevate the customer experience, as well as provide enhanced privacy and security, faster performance and lower cost.This breakthrough empowers Zebra, its partners and customers to unlock new frontiers of productivity gains for front-line workers with new use cases that will shape the future of work.Learn more about GenAI on-device with Zebra CTO Tom Bianculli in this video.

Generative AI could unlock $23.5bln in annual economic growth across GCC

GenAI could generate $6.1 billion in annual growth across Qatar, Kuwait, Oman, and Bahrain until 2030 Generative AI (GenAI) has sparked excitement and investment in a technology with significant potential to change the world. Although this comes with regulatory concerns; among them the threat of deepfakes, harmful content, and exacerbated economic inequality and bias the technology’s potential economic impact remains substantial.According to Strategy& Middle East, part of the PwC network, widespread adoption of this technology is expected to continue across the corporate world over the next 6 to 12 months, along with rapid progress in the field.Although predictions remain challenging, Strategy& Middle East’s conservative top-down estimate predicts that the GCC region could realize approximately $9.9 of economic growth for every $1 invested in GenAI. At that rate, the overall economic impact of GenAI could reach $23.5 billion per year by 2030 within the GCC.[1]Saudi Arabia and UAE could experience largest impactLeading the way, Saudi Arabia and the UAE are expected to experience the most substantial impact, with projected annual impacts of $12.2 billion and $5.3 billion, respectively. Qatar, Kuwait, Oman, and Bahrain will also benefit, with estimated economic gains of $2.6 billion, $1.6 billion, $1.3 billion, and $0.6 billion, respectively.“These statistics underline the extraordinary potential of Generative AI to revolutionize the Middle East's business landscape. Executives who seize this opportunity without delay can gain a substantial competitive advantage, while companies that merely watch risk falling behind,” commented Tony Karam, Partner at Strategy& Middle East.Examining the industries likely to witness the greatest transformation, the analysis by Strategy& Middle East identifies media and entertainment as the largest affected sector with $8.5 billion of likely economic impact across the GCC region. This is followed by the healthcare industry at $3.8 billion, banking and financial services at $3.5 billion, as well as IT and telecommunications at $2.9 billion.Revolutionary language models set to revolutionize industries According to Strategy& Middle East, GenAI possesses immense capabilities that go beyond being an advanced chatbot. Powered by large language models (LLMs), GenAI models are trained on extensive textual and multimodal data, enabling them to perform a wide range of linguistic tasks, including generation, editing, summarizing, translation, and classification. This versatility allows LLMs to be fine-tuned for specific applications, providing organizations with a compelling advantage. Notably, Google's Med-PaLM2, a healthcare-centric model, showcases this potential by surpassing medical professionals in crafting comprehensive clinical evaluations. The broader impact of GenAI transcends industries, promising a seismic shift in business functions encompassing sales, marketing, customer service, and compliance. “Despite their impressive capabilities, GenAI models have inherent limitations. Currently, these models are not suitable for intricate numerical analysis or critical decision-making processes. Moreover, there are ethical concerns associated with risks of bias, unethical usage, and significant computational costs. Mismanagement could lead to misleading or harmful outputs, underscoring the need for strategic deployment of GenAI to achieve maximum impact,” added Jad Baroudi, Principal with Strategy& Middle East.Maximizing value through targeted use-cases According to Strategy& Middle East, executives should choose GenAI use-cases that align with their strategic goals and provide tangible value.Achieving early and small wins can rally support, avoiding costly and risky “big bang” approaches. It is therefore advisable to concentrate on a handful of key use cases, taking into account organizational maturity, data availability, and the regulatory environment.On organizational maturity, CEOs must collaborate with their chief data, information, and technology officers to swiftly tackle any deficiencies in data capabilities, especially those linked to data governance, such as quality, availability, and completeness. This extends to the data tech stack – notably, adopting cloud-native capabilities to exploit the predominantly cloud-based innovative GenAI models.“Success in GenAI hinges upon talent acquisition. The Middle East must confront challenges stemming from local shortages in advanced data science skills. In this global race for talent, establishing robust strategic partnerships is imperative for GCC companies aiming to swiftly deploy experienced talent and capabilities. Simultaneously, cultivating an environment that attracts and retains top-tier in-house data science talent is crucial," concluded Tony Karam.Representing more than a mere tech buzzword, GenAI now signifies a revolutionary force that is poised to redefine the business landscape. Its true potential can help propel organizations to the forefront, endowing early adopters with a formidable competitive advantage. Nevertheless, adopting GenAI and establishing the necessary underlying capabilities is not a hasty or inexpensive undertaking. It necessitates sustained and long-term investments to drive a comprehensive transformation across the enterprise. With the race now underway, and the prize - a share of the substantial multibillion-dollar market impact in the Middle East at stake - the potential is too significant to overlook.