Wendy Gonzalez

In one hour (11am ET) -- join Matthew Rantanen and myself for a wide-ranging discussion of the state of Tribal Connectivity and Tribal Digital Sovereignty!

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Will mixed reality glasses be the gateway to unlocking new AI powered capabilities? Interesting to see the Meta Ray Ban smart glasses are now to incorporate real time language translation, potentially eliminating language barriers and improving communication. You can imagine on a social level this could be great, but on an industrial level this combined with Augmented and Virtual reality can bring benefits like: 1. Remove geography - meaning you can truely work collaboratively as teams from any location. 2. Remove language barriers with natural language translation to communicate with machines and language translation to improve communication with each other 3. Remove bias and inequality based on appearance, as in the digital world people can take on the appearance of their choice now with the language of their choice 4. Enable AI workers to work collaboratively as part of blended human and AI workforces. Do you think that Augemented and Mixed Reality headsets are adding value? Do you agree with Meta that they could replace the smart phone? Or rather do you believe the smart phone and AR/VR glasses will co-exist, and that the glasses will become another device like the smart watch that will work with the smart phone? #meta #meraverse #ai #web3

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Watch out, world! Dan OMalley and John Gieske are taking real-time communication to a whole new level with Sentra Gen AI. 🚀 They're not just talking tech—they're unleashing AI magic in ways that make us rethink what's possible in communication systems! 🔥🤖 #Nybsys #SentraGenAI #AI #TechInnovation #RealTimeComm #PTT

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The US Federal Communications Commission (FCC) fined telco giants Verizon, AT&T, T-Mobile, and Sprint almost $200 million for sharing customer’s location data without their consent. Check out today's Metacurity for more on this critical development and other top infosec news you should know, including --UnitedHealth breach began with Citrix flaw exploit, --Telegram yanks and then restores Ukraine security agency access, --TikTok ban could extend CapCut video editor, --Canadian lawmakers in an uproar over Chinese hacker targeting, --Google blocked 2.28 million Android apps last year, --Apple leaves EU Safari users exposed to web tracking, --much more #fcc #locationdata #unitedhealthcare #citrixflaw #telegram #gur #chinesehackers #google #androidapps #apple #eu #hackers #databreach #infosec #cybersecurity https://lnkd.in/e3EvsBhM

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At Black Box Intelligence™, we've been closely monitoring California since the minimum wage increase in April, and the findings may surprise you! Explore the trends in sales, traffic, check growth, and staffing, particularly in comparison to the rest of the nation. https://lnkd.in/gkf2mVUf

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🎯 Leading Through the AI Revolution: Key Insights from Lumen CEO Kate Johnson Just heard a fascinating conversation about leadership in the AI era. Here's why every leader should pay attention: 🔑 Core Message: "What got us here isn't going to get us where we need to go" - Kate Johnson, discussing the transformation needed in the AI age 💫 Leadership Lessons: 🔹 Be a Catalyst: Leaders must instigate change while keeping everyone on board 🔹 Find the Balance: Push hard enough for meaningful change, but not so hard you lose your audience 🔹 Lead by Example: Even CEOs need to adapt - Johnson shares how she had to improve her own AI adoption 🚀 Key Insights on AI Implementation: 🔹 AI augments, doesn't replace: Focus on making existing teams more productive 🔹 Cultural transformation is crucial: Technology alone isn't enough 🔹 Sales transformation: AI helps understand customer journeys instantly 🔹 Time savings: Employees save ~30 minutes daily with AI tools 💡 Change Management Formula: 🔹 Initial split: 1/3 embrace change, 1/3 resist, 1/3 undecided 🔹 Evolution to: Those with skill & will vs. those with will needing skill 🔹 Focus on: Upskilling and reskilling the willing ⚡️ The Bottom Line: "People don't lose their jobs to AI. They lose them to companies who use AI." - Kate Johnson Want to dive deeper into this conversation? Check out the full interview: https://lnkd.in/gfduxGKv What's your take on leading through the AI revolution? Are you seeing similar patterns in your organization? #Leadership #AI #DigitalTransformation #FutureOfWork #ChangeManagement

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In a fast-evolving marketplace, LLMs and GenAI hold incredible potential for telcos. Turning this potential into reality, however, can be more challenging than you think. From data quality and responsible use to technical complexities, the journey to practical GenAI implementation is riddled with complexities. Eric Davis, VP of AI Tech Collaboration at SK Telecom, and Sandeep Arora of Rakuten Symphony, unpack these challenges and offer insights on unlocking the true power of AI for telecom in this insightful blog. Read now: https://lnkd.in/g89vNCTw

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CEOs and Boards must drive AI transformation as part of their digital transformation strategy. In my conversation with Gamiel Gran of Mayfield Fund, we explored how focusing on practical AI use cases is key for leadership to lead the charge in innovation. #AI #Innovation #CXOJourneytotheAIFuture #DigitalTransformation

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Big Telco is starting to build GenAI experiences in house. Verizon is hoping to impact customer experience with new GenAI tools that include a Personal Research Assistant for accurate information, "Fast Pass" for efficient customer pairing, and a Personal Shopper for tailored solutions. This customer service use case seems like the right place to start for so many of the services that we have come to rely on but deplore the customer service experience. This article gets into the details on the use case and how Verizon deployed the solution. https://lnkd.in/gQMDGfWW

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Public Transit networks are truly dynamic - continuously evolving and changing every single day. One of the most effective ways to lift your network performance is operate at the same cadence - making those 1% improvements every day. The Stop Details and Running Times features released today in Mosaiq Insights are designed to help you do exactly that. If the experience of our beta users is anything to go by, then these will provide instant clarity to Operators and Authorities of where the quick wins are, enabling you to operate your network as your passengers expect.

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Hallelujah! Diana Goovaerts and Elizabeth Starr Miller Coyne of Fierce Network just reported from #DTW24 that AT&T's Yigal Elbaz said he's "looking for vendors to build technology that can be managed #holistically as part of a #horizontal layer in the technology stack rather than overseen as individual verticals." https://lnkd.in/eaTmz74a Excuse me, but I'm going to take a bit of a bow here. EnterpriseWeb has been promoting and demonstrating horizontal architecture for network and service management since 2013 when we led the 1st ETSI #NFV proof-of-concept, as well as the 1st ETSI #ZSM poc in 2016. Our #nocode platform with it's harmonized, standards-based Telco #knowledgegraph model helped win six consecutive TM Forum catalyst projects, with AT&T championing several of them. In 2022 we won a Fierce Telecom award for an Intel #5G #MEC testbed demonstrating a "super" SMO that worked across the #RAN, #Core and #Transport and between layers 1-7 so it could dynamically configure and continuously optimize slices, services and functions to maintain low latency and energy consumption at 50Gbps. In May of 2023 we premiered #Telcograde #GenAI for #intentbased #orchestration with Microsoft demonstrating how a developer can talk to the network to design, deploy and manage complex services. At #MWC24 we demonstrated how the same natural language interface could be used as an abstraction across a set of #CAMARA #APIs. It's been a year and no telecom vendor has replicated these capabilities or matched our performance. I was beginning to think I might have to bleed on stage for the #Telecom industry, but I now have hope. The industry might just have finally had enough with its manually-integrated, tightly-coupled, bloated and brittle silos, which hold back #automation and #AI initiatives. The future is here folks... no need to wait. Here are a few links - Blog "Abstraction for Interoperability and Automation": https://lnkd.in/e6uD4sYB MWC24 demo with RedHat and Microsoft "GraphOps for the AI-enabled Telco": https://lnkd.in/e27kFS-h MWC24 demo with Intel, Microsoft and Fortinet "Dev-centric Networking with CAMARA APIs": https://lnkd.in/ekQD3Sgw MWC24 interview on TheCube with RedHat - https://lnkd.in/dsFyrx-D

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SUPER BUNDLES: Great Article Avi Greengart , a great analyst btw. New Wireless Bandwidth = Meets Streaming Service Bundled Discounts = Meets Up Next: "The Solution Every Consumer Wants" ;) #freecast #nextgenstreaming #streamingwars no more #nomoreappdiving

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I was recently in DC to talk about how Comcast builds out for BEAD grants & explain our next-gen network with FDX + 10G EPON (thanks to DAA) - and our “fiber first” approach for these greenfield builds. We have an *incredible* network asset that gives us great flexibility to deliver the broadband our customers need, at a speed ***and*** cost-to-deliver that is IMO unmatched. This stuff does not happen overnight - it takes years of strategic vision and technical investment by our executives and engineers and it is now bearing fruit. And I cannot wait to layer ultra low latency on top of this. :-) https://lnkd.in/ea-bNdDp #10GPON #EPON #DOCSIS #FDX #FullDuplexDOCSIS #LowLatency #Latency #BEADgrants #BroadbandGrants

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Big Questions Complicate Comcast’s Cable Channel Breakup. "Things that make You go Hummm"! Comcast is proceeding with plans to spin off its cable channels business. While on the surface, shedding the fast-declining cable channels seems to make sense, it could be a messy divorce with interdependent entities ending up on separate sides of the split. In particular, news channels MSNBC and CNBC both share facilities, talent, and branding with NBC news, raising questions for all parties if there is no longer a corporate connection between those entities. The same applies to Peacock, with much of the streaming service’s premium content coming from cable networks like USA, SyFy, Bravo, Oxygen, and E!. #FreeCast #NextGenStreaming #NoMoreAppDiving #YouBundle https://lnkd.in/eqb4MasD

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Following up on a few recent posts with objective critiques of #generativeAI and #RAG and good discussion threads. To be clear, I'm not against #DeepLearning, generative AI or #NeuralNetworks - every technology has its use case, which is actually my point - #GenAI is not a solution, its part of one. Assuming you can justify cost, energy and resource consumption, security issues, IP and copyright concerns, etc. - #LLMs are very good for brute force tasks that are time-consuming, tedious and error-prone anyway, where the expectation for correctness is lower. Document summarization is a good example. #GPTs are also good at generating first drafts of anything where human oversight is assumed (because it is not accurate or consistent). However, here's where we run into problems - turns out LLM outputs degrade with complexity (uh, oh!). The output may have profound issues buried inside, which means the onus is on people to review thoroughly. However, studies show humans are prone to accept the results of the human-like natural language exchanges and blazingly fast brute force outputs as authoritative and skip rigorous review (go figure). Emerging RAG tool-chains (and the innumerable variants) represent workarounds attempting to optimize LLM outputs and eliminate hallucinations with nominal results and questionable ROI. These techniques support static, one-off manually-coded pipelines per use-case. They generally don't offer #enterprisegrade security, performance, scalability. Rather they offer flimsy scaffolding for experimenting with GenAI. So industry is racing full-steam into the trough of disillusionment. As I've repeatedly stated, organizations need practical solutions that leverage generative AI while mitigating its weaknesses. In a series of posts and demos we've described our "Domain-oriented generative AI architecture". Instead of merely trying to optimize or control LLM outputs, GenAI is simply a component in a broader solution architecture to deliver meaningful business use-cases. Our #domain approach off-loads processing to https://enterpriseweb.com/ as a back-end #automation platform. It leverages domain knowledge to efficiently ground LLM interactions in context so they could be understood deterministically. It allows us to: 1) optimize interactions with LLMs, minimizing training, tuning, prompts and tokens; 2) use knowledge-driven #orchestration to automate optimization of LLM outputs across use-cases while mitigating GenAI security, IP/copyright, latency, costs, sustainability concerns; and 3) to enable natural language conversations to drive enterprise-grade contextual automation with strong IT governance https://lnkd.in/e_s8rv5C; https://lnkd.in/e2rssMWK; https://lnkd.in/eZiC6RGN; https://lnkd.in/eBEWR87w; https://lnkd.in/eVyTu3Rc;

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Timely local TV weather forecasts are vital for safety during severe weather, but can be significantly delayed if accessed via streaming. Will ATSC 3.0/NextGen come to the rescue? https://lnkd.in/gbbd8BAh

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