Core Insights - Cloud computing is driving innovation and digital transformation across various industries by enabling firms to access and store data over the Internet without managing physical servers, leading to widespread adoption at minimal operating costs [2][4] - The global cloud computing market is projected to grow from $752.4 billion in 2024 to $2,390.2 billion by 2030, reflecting a compound annual growth rate (CAGR) of 20.4% [6] Industry Overview - Cloud computing eliminates fixed capital expenses related to hardware and software purchases, reduces operating costs, and operates on a pay-per-use model, enhancing productivity and scalability [4] - The services are categorized into four main types: IaaS, PaaS, serverless, and SaaS, each offering varying levels of control and flexibility [5] Key Companies - **Microsoft Corporation (MSFT)**: A leading public cloud provider with its Azure platform, which offers a wide range of IaaS and PaaS solutions. Microsoft has expanded Azure's availability globally, enhancing its competitive position [9][10] - **Alphabet Inc. (GOOGL)**: Google Cloud has become a significant growth driver for Alphabet, with substantial investments in infrastructure and AI capabilities. Google Cloud is now the third-largest cloud provider globally [13][14] - **International Business Machines Corporation (IBM)**: IBM has strengthened its position in the hybrid cloud market through acquisitions like Red Hat and HashiCorp, focusing on analytics, cloud computing, and security for future growth [16][18] - **Arista Networks Inc. (ANET)**: Specializes in cloud networking solutions, offering high-capacity, low-latency products that support various cloud management frameworks. Arista's unified software stack distinguishes it in the industry [19][20][22]

Core Insights - The campaign "Let's create smarter business" emphasizes the challenges business leaders face in transitioning from AI pilots to real-world applications that deliver organizational value [1][4] - IBM's collaboration with Ogilvy aims to highlight the transformative potential of AI, hybrid cloud, and quantum technologies in enhancing business operations [2][4] Campaign Details - The campaign includes three new broadcast ads featuring Lewis Hamilton, showcasing IBM's partnership with Scuderia Ferrari HP and the redesigned mobile app that integrates data and AI for an improved fan experience [3][4] - The campaign is a strategic evolution of the previous "Let's create" initiative launched in 2022, reintroducing iconic IBM branding elements and set to run through 2025 across various media platforms [4] Company Overview - IBM is a leading provider of hybrid cloud and AI solutions, serving clients in over 175 countries and focusing on data insights, business process optimization, and cost reduction [5] - The company supports critical infrastructure sectors such as financial services, telecommunications, and healthcare with its hybrid cloud platform and consulting services [5]

Core Insights - The study commissioned by IBM indicates that sports fans are increasingly engaging with dynamic digital content, with AI, personalization, and real-time features being central to their experiences [1][2] Group 1: AI and Technology in Sports Engagement - 85% of surveyed fans see value in integrating AI into their sports experience, with 63% expressing trust in AI-generated content [2] - Real-time game updates (35%) and personalized content (30%) are identified as top priorities for AI-enhanced engagement [2] - 80% of fans believe AI will significantly influence how they follow sports by 2027 [4] Group 2: Consumption Habits and Preferences - 90% of fans consume sports content beyond just watching events, with younger fans leading this trend [9] - 73% of surveyed fans use dedicated mobile sports apps to stay updated, with 82% of in-person event attendees using apps during events [3][9] - 35% of fans plan to watch more live content in the next two years, and 29% expect to attend more events in person [7] Group 3: Community and Interaction - Interest in community-driven experiences is rising, with the share of fans ranking community engagement as a top priority increasing from 9% in 2024 to 11% in 2025 [14] - 21% of respondents identify community-building and fan interaction as important areas for AI-driven improvements in sports engagement [14] Group 4: Content Consumption Trends - Fans are turning to video highlights (51%), post-event recaps (37%), and player interviews (32%) to stay connected to their favorite sports [3] - 74% of fans following sports influencers value storytelling in their sports experience, particularly among those aged 18-44 [9]

Press Release Optus partners with Nokia to strengthen reliability of Voice with cloud-native solution supporting the deployment of new 5G enhanced voice services 31 July 2025 Espoo, Finland – Optus, the second largest operator in Australia, is extending its existing partnership with Nokia and has contracted the company to refresh its Voice Platform (IP Multimedia Subsystem – IMS) and deliver highly resilient cloud-native voice services. Voice is an important service for Australia, and with this new platform ...

Core Insights - The average cost of a data breach in the U.S. has risen to $10.22 million, while the global average has decreased to $4.44 million [1][7] - There is a significant gap between AI adoption and its security governance, with only 49% of breached organizations planning to invest in security post-breach [1][13] Breaches and AI Security - 13% of organizations reported breaches involving AI models or applications, with 97% of those lacking AI access controls [6] - 60% of AI-related security incidents resulted in compromised data, and 31% led to operational disruptions [6] - Organizations extensively using AI in security operations saved an average of $1.9 million in breach costs and reduced the breach lifecycle by 80 days [3][4] Financial Impact of Breaches - The global average cost of a data breach fell to $4.44 million, marking the first decline in five years, while U.S. breaches reached a record high [7] - Healthcare breaches remain the most expensive, averaging $7.42 million, despite a $2.35 million reduction compared to 2024 [7] - Organizations that detected breaches internally saved an average of $900,000 in breach costs compared to those disclosed by attackers [7] Operational Disruption - Nearly all organizations studied experienced operational disruption following a data breach, with most taking over 100 days to recover [8] - Almost half of the organizations reported plans to raise prices due to breaches, with one-third indicating increases of 15% or more [9] AI Governance and Shadow AI - 63% of breached organizations lack an AI governance policy, and only 34% of those with policies conduct regular audits [7] - One in five organizations reported breaches due to shadow AI, with those using high levels of shadow AI facing $670,000 higher breach costs [7] Ransom Payment Trends - There is a growing trend of organizations refusing to pay ransom demands, with 63% opting not to pay compared to 59% the previous year [13]

Industry Overview - Cloud computing has become a significant driver of innovation and digital transformation, allowing users to access and store data over the Internet without managing physical servers [2][3] - The global cloud computing market is projected to grow from $752.4 billion in 2024 to $2,390.2 billion by 2030, representing a CAGR of 20.4% [6] Cost Efficiency - Cloud computing eliminates fixed capital expenses related to hardware and software purchases, reducing operating costs associated with maintaining onsite data centers [4] - The pay-per-use pricing model allows enterprises to only pay for the computing resources they utilize, enhancing cost-effectiveness [4] Service Categories - Cloud computing services are categorized into four main types: IaaS, PaaS, serverless, and SaaS, each offering varying levels of control and flexibility [5] Major Players Microsoft Corporation - Microsoft Azure provides a wide range of IaaS and PaaS solutions, with increased availability in over 60 regions globally [9][10] - The company is heavily investing in AI-powered cloud services, integrating various AI solutions into Azure [12] Amazon.com, Inc. - Amazon Web Services (AWS) is a leading player in the cloud computing market, offering over 200 services and maintaining a strong customer base [13][14] - AWS aims to enhance its AI and ML capabilities to improve decision-making and expand its global infrastructure [15] International Business Machines Corporation (IBM) - IBM has strengthened its position in the hybrid cloud market through acquisitions like Red Hat, which enhances its cloud and data platform offerings [16][17] - The company is expected to benefit from strong demand for hybrid cloud and AI solutions, driving growth in its Software and Consulting segments [18] Arista Networks Inc. - Arista specializes in cloud networking solutions, providing high-capacity, low-latency platforms that support various cloud management frameworks [19][20] - The company has introduced cognitive Wi-Fi software and continues to expand its multi-cloud and cloud-native software product family [21][22]

Core Insights - A global study by IBM reveals that while 81% of CMOs recognize AI's strategic importance, 84% face challenges due to fragmented operations [2][3] - The study indicates a significant execution gap in translating AI strategies into tangible outcomes, with 54% of respondents underestimating operational complexity [2][7] Group 1: AI Integration and Challenges - 65% of CMOs agree that AI-literate talent is essential for achieving high-priority objectives, yet only 21% believe they possess the necessary talent for the next two years [8] - 69% of surveyed CMOs acknowledge that new privacy regulations will necessitate a reevaluation of their data strategy [8] - Only 22% of organizations have established clear guidelines for AI in automated decision-making, indicating a need for improved frameworks [7][8] Group 2: Operational Efficiency and Collaboration - 64% of CMOs are now responsible for profitability, while 58% are accountable for revenue growth, highlighting the need for better technology integration [3][7] - Respondents facing internal collaboration challenges reported a 12% revenue growth in 2024, compared to 13% for higher-performing peers, suggesting a potential $140 million upside for an average $14 billion revenue base [3] - Just under a quarter (24%) of respondents have technology platforms that support consistent cross-functional collaboration, and only 44% have integrated systems for demand planning and fulfillment [8] Group 3: Cultural and Operational Shifts - Only 23% of CMOs feel employees are prepared for the cultural and operational shifts brought by AI, with 67% viewing reshaping culture as their responsibility [3] - 62% of respondents report that the pace of change creates tensions between demand and operations functions, indicating a need for better alignment [8] - The study suggests that fully aligning marketing, sales, and operations could unlock a 20% increase in organizational revenue [8]

Core Insights - Enterprises are expected to significantly scale AI-enabled workflows, with a projected increase from 3% today to 25% by the end of 2025 [2][6] - 70% of surveyed executives consider agentic AI important for their organization's future, indicating a trend towards experimentation with AI technologies [2][5] - The study highlights that 83% of respondents anticipate AI agents will enhance process efficiency and output by 2026 [3] AI Adoption and Benefits - The top five benefits driving the adoption of agentic AI systems include improved decision-making (69%), cost reduction through automation (67%), competitive advantage (47%), scaled employee experience (44%), and improved talent retention (42%) [6][7] - AI investment is projected to grow from 12% of IT spend in 2024 to 20% by 2026, reflecting AI's transition from experimentation to a core business strategy [7] - The proportion of organizations using an ad hoc approach to AI has decreased from 19% to 6%, indicating increased confidence in AI-driven transformation [7] Methodology and Research Background - The study was conducted by the IBM Institute for Business Value in partnership with Oxford Economics, utilizing two surveys involving 2,900 executives across various industries and regions [8] - The surveys explored AI's impact on business operations, including revenue, profitability, productivity, and resource efficiency [8]

Core Insights - Mavenir, in collaboration with Three UK and Red Hat, successfully validated the performance advantages of 5G non-standalone O-RAN compatible small cells in Glasgow, achieving a doubling of 5G speeds during peak hours [1][2][3] - The project marks the first pilot of an Open RAN in a dense urban environment in the UK, demonstrating the integration of O-RAN compatible small cells with traditional macro base stations [1][2][4] - The pilot achieved peak 5G speeds of 520 Mbps in the trial area, significantly enhancing network capacity and user experience [1][3] Project Details - The SCONDA project, supported by the UK government’s Department for Science, Innovation and Technology (DSIT), aims to enhance small cell density in urban areas [2][5] - Mavenir's complete 4G and 5G O-RAN solutions include OpenBeam small cell radio units running on Red Hat OpenShift, facilitating automated network performance management in complex RF environments [2][3] - Following the successful trial of 18 sites, the project will expand to a total of 34 small cells [1] Industry Impact - The integration project demonstrates the capability of Open RAN to seamlessly work with traditional vendor equipment, potentially attracting global interest in wireless network design [3][4] - The collaboration between Mavenir and Red Hat is expected to enhance network performance and unlock new 5G application potentials for operators [3][4] - The pilot serves as a foundation for scaling urban Open RAN deployments and optimizing performance in complex environments [3][4]

Core Insights - A global study by IBM reveals that CEOs are committed to advancing AI solutions despite challenges from rapid technology adoption [1][2] Group 1: AI Investment and Adoption - 2,000 CEOs surveyed expect AI investment growth to more than double in the next two years, with 61% actively adopting AI agents [2][7] - 50% of CEOs report that rapid investment has led to disconnected technology within their organizations [7][8] - Only 25% of AI initiatives have delivered expected ROI, and 16% have scaled enterprise-wide [8] Group 2: Data and Collaboration - 68% of CEOs identify integrated enterprise-wide data architecture as critical for cross-functional collaboration [3] - 72% view proprietary data as key to unlocking the value of generative AI, yet 50% acknowledge challenges in cultivating an effective data environment [3][8] Group 3: Leadership and Talent - 69% of CEOs believe success is tied to having leaders with a deep understanding of strategy and decision-making authority [6][12] - 67% of CEOs state that differentiation depends on having the right expertise in the right positions with appropriate incentives [12] Group 4: Innovation and Risk Management - CEOs face pressures of balancing short-term ROI with long-term innovation [5][8] - 64% acknowledge that the risk of falling behind drives premature investment in technologies [8] - 59% admit struggles in balancing funding for existing operations and innovation during unexpected changes [8] Group 5: Future Expectations - By 2027, 85% of CEOs expect positive ROI from investments in scaled AI efficiency and cost savings [8] - 77% anticipate a positive return from investments in scaled AI growth and expansion [8]