🔍 Exciting times ahead for businesses leveraging AI as Apple rolls out innovative configuration options for ChatGPT in the enterprise! With their upcoming September software updates, Apple is providing companies with powerful tools to customize how employees interact with AI. Imagine having the flexibility to allow or restrict any external AI provider—not just OpenAI’s ChatGPT. This opens up new avenues for integrating various AI technologies while maintaining control over sensitive data. Additionally, Apple is enhancing its Apple Business Manager API, making it even easier for IT tools to integrate seamlessly into existing workflows. From improved Device Management features to efficient onboarding processes with Guest Mode on shared Macs, Apple is positioning itself as a key player in the enterprise AI landscape. As we prepare for this digital transformation, consider how these advancements can optimize your operations and drive efficiency. Ready to harness the power of AI for your business? #AI #DigitalTransformation #AppleEnterprise 👉 https://lnkd.in/gaEr8ZDZ
Apple's AI Configuration Options for Enterprises
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Apple is introducing new ChatGPT configuration options for enterprise use. With the upcoming software updates in September, businesses will have more control over AI usage, including the ability to configure an enterprise version of OpenAI's ChatGPT. Apple's integration allows IT administrators to manage access to any external AI provider, not just OpenAI, offering flexibility for enterprise environments. Additional features include an API for Apple Business Manager and new tools for Device Management, enhancing enterprise IT capabilities. Read more: https://lnkd.in/g6cWjUtz 📰 Subscribe to the Daily AI Brief: https://lnkd.in/epHYTU3i #ai #artificialintelligence #ainews
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Apple is preparing for a significant stride into the enterprise world by allowing businesses to configure ChatGPT access this fall. This move reflects a growing trend where AI is becoming an integral element in the corporate toolkit. But what does it mean for professionals at all levels? By granting companies more control over how they integrate ChatGPT, Apple is acknowledging the unique needs of different businesses. Imagine a future where customized, AI-powered solutions streamline processes, enhance customer service, and boost productivity. This is what Apple is paving the way for, and it's an exciting prospect for enterprises eager to harness AI's potential. For executives, this means a new frontier of innovation and competitive advantage. For beginners, it signals the importance of navigating and understanding AI technology as it becomes a universal facet of business operations. What possibilities can you envision for AI's role in your business? Are you ready to embrace these changes? #Apple #AI #ChatGPT #EnterpriseTech #Innovation
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Executive Advisor | Strategy, Leadership, 5G & beyond | Keynote speaker | Women Leadership Hub co-founder | BoD Member
Here is a unique report on telecom operators that are frontrunners in building the #AI economy. What are they doing, how and why? Certainly worth reading and reflecting! Great work and insightful observations by Sebastian, as always!
Managing director | Ex-Google | Ex-Ericsson | Founder | Author | Doctorate Candidate | Follow my weekly newsletter
Stop Bundling ChatGPT. Some Telcos Are Building the AI Economy. While some Telcos call it “innovation” to bolt a free ChatGPT subscription onto mobile plans, a group of 53 telcos is taking a far more serious route: positioning themselves inside the AI value chain where real economic gravity sits. I’ve tracked their moves across 5 concrete arenas: (1) sovereign GPU “AI factories,” (2) telco-native large language models, (3) AI-RAN and edge autonomy, (4) enterprise AI cloud platforms, and a small but strategic (5) device layer. The shift is tangible and creates more than 60 specifc projects! Deutsche Telekom is building a Germany-based AI gigafactory with NVIDIA and Brookfield, designed to anchor sovereign compute for national and enterprise AI workloads. Singtel, via its Nxera unit, is using ASEAN data centers as a GPU-as-a-Service backbone, making in-region AI capacity a commercial product rather than a press release. Telefonica is wiring GPUs into central offices to run anomaly detection, traffic forecasting, and model inference at the edge, cutting latency and reducing SLA breaches. Fastweb MIIA, trained on an in-country DGX SuperPOD, shows why controlling both compute and weights matters: you can tune on local data, enforce residency, and drop per-token costs. These Telcos moved beyond buying customer chatbots. They are making capital-intensive bets on compute, models, and edge fabrics; the assets that decide who captures value when AI stops being a demo and becomes infrastructure. I’ve mapped more than 60 cases. A more detailed breakdown in my latest newsletter: https://lnkd.in/gP_3Yn5y
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Apple Intelligence isn’t just another AI feature; it’s a subtle but powerful integration shaping how we interact with everyday apps like Messages, Mail, and Notes. Unveiled in late 2024, the standout element is Apple’s decision to combine on-device AI processing with cloud-powered enhancements—allowing many tasks like email composition or text summarization to happen locally without sending sensitive data to external servers. This hybrid approach prioritizes privacy while maintaining performance, a balance that many tech companies struggle to achieve. What’s more, Apple is enabling developers to build on these AI models offline through its new Foundation Models framework. This means smarter apps that don’t rely heavily on cloud APIs, reducing latency and protecting user data. Meanwhile, Siri’s ongoing transformation—although delayed due to quality hurdles—aims to become more context-aware by tapping into both Apple Intelligence and integrations like ChatGPT. This strategy reveals Apple’s distinct AI path: pragmatic, privacy-first, and developer-friendly rather than chasing headline-making AI novelties. It’s an approach that could redefine user trust in AI tools. How is your team balancing AI innovation with privacy and reliability, especially when integrating AI into user-facing products? What lessons have you learned in navigating these challenges? #AppleIntelligence #AIPrivacy #GenerativeAI #DeveloperTools
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CEO @Tigon Advisory Corp. | Host of CXO Spice | Board Director |Top 50 Women in Tech | AI, Cybersecurity, FinTech, Insurance, Industry40, Growth Acceleration
Why are 90% of employees using ChatGPT for work while their companies' $30-40B AI investments deliver zero returns? Massachusetts Institute of Technology AI Divide Study reveals that 95% of enterprise GenAI pilots are failing. Here is the breakdown: ✅ Only 5% of custom AI tools reach production (vs 40% for ChatGPT) ✅ 90% of employees use personal AI tools while only 40% of companies have official subscriptions ✅ External partnerships succeed 2x more than internal builds ✅ Only 2 out of 9 major industries show real structural change The real problem is the "learning gap." Most enterprise AI systems can't learn, adapt, or remember context. Meanwhile, employees are already crossing the "GenAI Divide" through shadow AI usage. Where the ROI lives: Front-office gets 50% of budgets, but back-office automation delivers the wins: ✅ $2-10M saved eliminating BPOs ✅ 30% reduction in agency costs ✅ Faster payback periods The window to cross this divide is closing fast. Organizations that succeed buy learning-capable systems instead of building static tools. My key takeaways from the MIT report insights in the carousel below 👇 #AI #GenAI #DigitalTransformation #CIOs #CTOs #CEOs #BoardDirectors To stay current with the latest with #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg Or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj
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International Best-Selling & EvergreenAuthor @ Smooth Sale | Community Spirited Blogger
Helen Yu shares a stunning report from MIT concerning the shortfall of AI; details below: Greg Jenkins Nirupa Netram 🪷 SIMMA Lieberman Ian Barron Smooth Sale
CEO @Tigon Advisory Corp. | Host of CXO Spice | Board Director |Top 50 Women in Tech | AI, Cybersecurity, FinTech, Insurance, Industry40, Growth Acceleration
Why are 90% of employees using ChatGPT for work while their companies' $30-40B AI investments deliver zero returns? Massachusetts Institute of Technology AI Divide Study reveals that 95% of enterprise GenAI pilots are failing. Here is the breakdown: ✅ Only 5% of custom AI tools reach production (vs 40% for ChatGPT) ✅ 90% of employees use personal AI tools while only 40% of companies have official subscriptions ✅ External partnerships succeed 2x more than internal builds ✅ Only 2 out of 9 major industries show real structural change The real problem is the "learning gap." Most enterprise AI systems can't learn, adapt, or remember context. Meanwhile, employees are already crossing the "GenAI Divide" through shadow AI usage. Where the ROI lives: Front-office gets 50% of budgets, but back-office automation delivers the wins: ✅ $2-10M saved eliminating BPOs ✅ 30% reduction in agency costs ✅ Faster payback periods The window to cross this divide is closing fast. Organizations that succeed buy learning-capable systems instead of building static tools. My key takeaways from the MIT report insights in the carousel below 👇 #AI #GenAI #DigitalTransformation #CIOs #CTOs #CEOs #BoardDirectors To stay current with the latest with #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg Or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj
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LinkedIn Top Voice, Thinkers360 Top 25 Overall Thought Leader, Founder of Data Leadership Group (Data Scientist. Top Influencer. Speaker. Trainer. Consultant. Astrophysicist). Advisor to PrimeAI and other AI startups.
See the summary of the MIT study on the GenAI Divide in Business 2025, in the post below by Helen Yu ... The full study report is here: https://lnkd.in/dRpkjiec
CEO @Tigon Advisory Corp. | Host of CXO Spice | Board Director |Top 50 Women in Tech | AI, Cybersecurity, FinTech, Insurance, Industry40, Growth Acceleration
Why are 90% of employees using ChatGPT for work while their companies' $30-40B AI investments deliver zero returns? Massachusetts Institute of Technology AI Divide Study reveals that 95% of enterprise GenAI pilots are failing. Here is the breakdown: ✅ Only 5% of custom AI tools reach production (vs 40% for ChatGPT) ✅ 90% of employees use personal AI tools while only 40% of companies have official subscriptions ✅ External partnerships succeed 2x more than internal builds ✅ Only 2 out of 9 major industries show real structural change The real problem is the "learning gap." Most enterprise AI systems can't learn, adapt, or remember context. Meanwhile, employees are already crossing the "GenAI Divide" through shadow AI usage. Where the ROI lives: Front-office gets 50% of budgets, but back-office automation delivers the wins: ✅ $2-10M saved eliminating BPOs ✅ 30% reduction in agency costs ✅ Faster payback periods The window to cross this divide is closing fast. Organizations that succeed buy learning-capable systems instead of building static tools. My key takeaways from the MIT report insights in the carousel below 👇 #AI #GenAI #DigitalTransformation #CIOs #CTOs #CEOs #BoardDirectors To stay current with the latest with #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg Or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj
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As COO of www.jaiinfoway.com I see the MIT AI Divide Study as a wake-up call for enterprises worldwide. With 90% of employees using ChatGPT while costly AI investments fail the message is clear — learning-capable systems create ROI while static tools deliver disappointment. At www.jaiinfoway.com we help enterprises bridge this divide by building adaptable AI solutions that learn context integrate seamlessly with workflows and deliver measurable value across front-office and back-office operations. The real gains come from automation efficiency and agility — and that is where we focus. #Jaiinfoway #AI #GenAI #DigitalTransformation #EnterpriseAI #Innovation #Growth #FutureReady
CEO @Tigon Advisory Corp. | Host of CXO Spice | Board Director |Top 50 Women in Tech | AI, Cybersecurity, FinTech, Insurance, Industry40, Growth Acceleration
Why are 90% of employees using ChatGPT for work while their companies' $30-40B AI investments deliver zero returns? Massachusetts Institute of Technology AI Divide Study reveals that 95% of enterprise GenAI pilots are failing. Here is the breakdown: ✅ Only 5% of custom AI tools reach production (vs 40% for ChatGPT) ✅ 90% of employees use personal AI tools while only 40% of companies have official subscriptions ✅ External partnerships succeed 2x more than internal builds ✅ Only 2 out of 9 major industries show real structural change The real problem is the "learning gap." Most enterprise AI systems can't learn, adapt, or remember context. Meanwhile, employees are already crossing the "GenAI Divide" through shadow AI usage. Where the ROI lives: Front-office gets 50% of budgets, but back-office automation delivers the wins: ✅ $2-10M saved eliminating BPOs ✅ 30% reduction in agency costs ✅ Faster payback periods The window to cross this divide is closing fast. Organizations that succeed buy learning-capable systems instead of building static tools. My key takeaways from the MIT report insights in the carousel below 👇 #AI #GenAI #DigitalTransformation #CIOs #CTOs #CEOs #BoardDirectors To stay current with the latest with #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg Or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj
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Partnering with Tech Leaders to Scale Faster with AI, Dev Pods & Cost-Effective Engineering | Business Consultant at Logiciel
𝐀𝐈 𝐢𝐬𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐚𝐧𝐨𝐭𝐡𝐞𝐫 𝐭𝐨𝐨𝐥—𝐢𝐭’𝐬 𝐚 𝐠𝐚𝐦𝐞 𝐜𝐡𝐚𝐧𝐠𝐞𝐫. Companies leading the way today aren’t just integrating ChatGPT into their products; they are revolutionizing engineering by placing AI at the forefront. At Logiciel Solutions | AI-Powered Software Teams That Feel In-House, we specialize in making AI practical and results-oriented for our clients: - Streamlining workflows for faster product delivery without exhausting the team - Implementing predictive analytics to foresee and address bottlenecks proactively - Enhancing cloud infrastructure efficiency with AI for cost reduction and performance enhancement - Scaling up product personalization capabilities The result? Faster delivery, leaner operations, and products that adapt in real time to customer needs. AI isn’t about replacing engineers—it’s about unlocking their highest potential. And that’s exactly what we help our clients achieve. 𝐇𝐨𝐰 𝐢𝐬 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐀𝐈 𝐭𝐨 𝐠𝐚𝐢𝐧 𝐚𝐧 𝐞𝐝𝐠𝐞? 𝐃𝐌 𝐦𝐞 𝐚𝐧𝐝 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤. #AI #AIFirst #SoftwareEngineering #Innovation #ProductDevelopment #TechLeadership
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Major AI Service Outage: ChatGPT Faces Global Downtime Today, ChatGPT experienced a worldwide outage, affecting millions of professionals who rely on AI for daily productivity and innovation. Features impacted included the web and mobile apps, logins, DALL-E Open Ai, data analysis, and voice mode—all disrupted due to this service downtime With OpenAI actively working to restore operations, many turned to alternatives like Google Gemini and Microsoft Copilot for uninterrupted assistance. This event highlights our increasing dependence on AI technology and the need for robust infrastructure in the digital workspace. #ArtificialIntelligence #ChatGPTDown #TechNews #AIOutage #DigitalTransformation #Productivity #BusinessContinuity #TechUpdate #FutureOfWork #Innovation #GoDigitalAlpha
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