businessinfomag.uk magazine 06 BULLETIN the athletes themselves to broadcasting and energy management. Technology Foresights, an innovation intelligence platform from data and analytics company GlobalData, says that with nearly $6 billion in venture capital invested in the sports and gaming industry since 2020, and ongoing R&D by technology, sports and healthtech companies, new developments will continue to disrupt the industry (see graphic). Sourabh Nyalkalkar, Practice Head of Innovation Products at GlobalData, said: “Disruptive technologies are transforming every aspect of gameplay, from highly customised 3D-printed footwear to high precision sensors and sophisticated algorithms for gait monitoring. Some of these innovations, such as breathable fabrics, are widely adopted in the industry while others are picking up.” The latter includes wearable athletic monitoring sensors for tracking athletes’ performance, physiology and physical condition during activities, which is attracting leading brands from several different market sectors. Nyalkalkar added: “The involvement of major sports brands like Nike, Lululemon, and Adidas among leading innovators in this innovation highlights the importance of this technology. Competing with tech giants like Apple and Google, as well as specialised fitness companies like Fitbit and Garmin, these brands leverage extensive data on athletic performance to stay ahead.” www.globaldata.com ... Data is key to AI success says Boomi Boomi, the intelligent integration and automation leader, has produced A Playbook for Crafting AI Strategy in collaboration with MIT Technology Review Insights. The playbook combines guidance on AI strategy formulation with insights into enterprise AI adoption based on a survey of C-suite and senior data executives. Key findings include: n Few companies have scaled AI beyond pilots. Fully 95% of companies surveyed are already using AI and 99% expect to in the future, but few have graduated beyond pilot projects. Three quarters (76%) have deployed AI in just one to three use cases. n AI-readiness spending is set to rise significantly. AI spending in 2022 and 2023 was modest for most companies, with only one in four increasing their spending by more than a quarter. This year, four in ten expect to increase spending by 10-24%, and one third expect to increase spending by 25-49%. n Data liquidity is a key attribute for AI deployment. The ability to access, combine and analyse data from various sources enables firms to extract relevant information seamlessly and apply it effectively to specific business scenarios, while eliminating the need to sift through vast data repositories. n Data quality is a major limitation for AI deployment. Half (50%) of respondents cite data quality as the most limiting data More than one in 10 Windows devices need to be replaced More than four out of five enterprise Windows endpoint devices (82%) are not yet running Windows 11, according to Digital Employee Experience (DEX) management specialist ControlUp. Initial findings from the ControlUp Edge DX Windows 11 readiness assessment tool, a one-click widget that instantly identifies devices that are out of compliance with Windows 11 hardware requirements, reveals that 82% of 750,000 enterprise Windows endpoint devices sampled have yet to migrate to Windows 11. Of these, 88% are ready for migration, 1% can be upgraded to meet the requirements prior to migration and 11% need to be fully replaced. Windows 11 has specific security and performance requirements, including a 64-bit CPU, Secure Boot and a TPM 2.0 chip, that older devices often lack. Microsoft ends support for Windows 10 on October 14, 2025. www.controlup.com issue. Enterprises with revenues of over $10 billion are most likely to cite both data quality and data infrastructure as limiters. n Companies are not rushing into AI. Nearly all organisations (98%) are willing to forgo being the first to use AI if that ensures they can deliver it safely and securely. Governance, security and privacy are the biggest brakes on AI deployment, cited by 45% of respondents (65% in the largest companies). https://boomi.com/content/report/ ai-strategy-playbook/ ... Tell us when you use AI Over three-quarters (77%) of consumers feel it’s important for companies to declare when GenAI is used in their communications (77%) and to always provide human oversight to check content created by GenAI (81%). State of Customer Conversations, based on a survey of 2,000 consumers commissioned by customer communications specialist Smart Communications, also highlights the misgivings people have about using AI in customer communications, including ethical (63%) and security concerns (66%). Fewer than half (47%) of consumers believe GenAI has the potential to improve the communications they receive from businesses. www.smartcommunications.com ... Talking point – AI servers needed to prevent AI slump Nessim-Sariel Gaon, co-founder & managing partner of LIAN Group, an investment firm with $500m+ of deployed capital across companies in digital infrastructure, AI, blockchain, healthcare and other sectors, warns that the AI bubble will burst if the number of AI servers in data centres globally doesn’t increase ten-fold by 2026. He said: “Given the amount of data and processing power needed to accommodate AI programs, a lot of servers are just not fit for purpose. This is the real ceiling on the expansion and growth of the AI sector, and it’s a real barrier for innovative AI startups looking to disrupt the market. The number of bespoke AI machines – and by that I mean servers able to accommodate reams of AI data – has to increase if we’re going to avoid a slump. In fact, they’ll have to increase tenfold and certainly by 2026. At the end of the day, it’s a ticking time bomb. Quick action is needed.” ... ...continued
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