Detecon Workshop - Telco and OTT PartnershipsAdrian Hall
Innovation in the field of ICT products and services is significantly changing human communication behaviour and drives data usage on both fixed and mobile networks.
Detecon Workshop - Telco and OTT PartnershipsAdrian Hall
Innovation in the field of ICT products and services is significantly changing human communication behaviour and drives data usage on both fixed and mobile networks.
Indoor multi operator solutions - Network sharing and OutsourcingAmirhossein Ghanbari
Indoor solutions as a part of cellular mobile networks’ planning have been used for years in a way to fulfill the lack of an admissible coverage while subscribers experienced using cellular phones indoors. On the other hand, network sharing is a commonly used solution for mobile operators in order to lower their network capital and operational expenditures; that has also commonly been used for Distributed Antenna System (DAS) solutions in indoor deployments. Besides sharing, outsourcing network operation and maintenance has also been widely accepted by wireless carriers all around the world after that IT outsourcing flow, which started in late 90s, seemed to be quite promising for lowering operational costs.
The raise of new technologies in this domain that always promise higher, better and more to subscribers, little by little started to become worrisome since operators began to experience lower revenues from voice services during last couple of years as well as higher demand of capacity. As a result, operators started considering deploying indoor networks as a part of their planned network, with regard to the fact that during recent years the femtocell technology became the hot topic for smallcell deployments. This way, MNOs could exploit benefits of covering customers indoors efficiently as well as offloading mobile data traffic from macro cellular networks. But a question rose afterwards; why sharing and outsourcing in smallcell networks have not taken off yet? as they have been commonly used in macro cellular networks and DAS solutions?
In this MSc thesis, cooperation between different actors of the shared indoor mobile network ecosystem is studied by investigating both possible sharing models and the concept of outsourcing network operation and management for smallcell networks. This investigation has been done based on femtocells as the most suitable technology both for better coverage and higher capacity. During this process, different roles of actors in the ecosystems, the business relations between them and the main drivers of sharing were studied as well as discussing the main beneficiary of sharing, in order to find different types of cooperation and correlation in the ecosystem.
The main research questions in the thesis revolve around absence of sharing either active or passively in indoor mobile networks as well as outsourcing network operation and management. Eventually, a series of possible deployment models for shared and outsourced indoor mobile networks are presented where they have been tried to be verified by a number of use cases. As a result, this study proposes a set of recommendations for different possible operators in the ecosystem in order to formulate a profitable business model for them. These recommendations are believed to enable taking off sharing and outsourcing in smallcell networks.
I have for some time worked on training notes (eventually a book) that particular targets the un-initiated or persons / companies interested in understanding how Telco works and thinks. Particular focusing on Economics and Business Models.
These notes where used in a recent training I gave in Myanmar and as such many of the examples are particular to Myanmar.
For the initiated this is likely going to be too easy and sometimes even feel like cheating (just a bit).
Stay tuned as I will be updating these particular slides frequently and as I tailor make them for particular requests or interests.
In case you are interested in the actual training get in touch.
Mobile Telecoms Tech & Market Disruptions - April 2015 VersionDean Bubley
The next 5 years will bring huge changes to the mobile network industry. Network operators will see revenue and usage from voice telephony & SMS decline, while new communications apps will mostly be driven by context & design, not 3GPP standards.
4G networks will continue to be deployed, with 5G coming into view - but data traffic may not grow to the degree expected. WiFi is growing in important - but will only have limited integration with cellular. Net Neutrality concerns will continue to rumble - but most of the new "ideas" like paid priority or sponsored data will fail.
We will also see "multi-stakeholder" issues coming to the fore, where regulators will need to ensure the telecom industry encompasses the needs of users, venues, app developers, IoT companies, brands & Internet players. That said, attempts by Apple and Google to enter the cellular space with SIMs and MVNOs will remain niche
The Megatrend of M2M - a View of the Year 2018 - Craig Rispin Keynote at - C...Craig Rispin
The Megatrend of M2M - a View of the Year 2018
M2M is poised to become the biggest technology trend in the history of mankind. Tomorrow M2M will change your business, help you live longer, and probably save your life too. Who will be able to take advantage of the technology in the future? How can you position yourself to take advantage of the M2M Megatrend? Those questions, and many more will be answered in this keynote talk. The session will be interactive, so bring your mobile devices!
The telecommunications industry has changed radically in the past 10 years as data-hungry customers with smart devices consume ever more bandwidth. While many players are diversifying their revenue streams, ensuring that new services deliver healthy margins remains challenging. At the same time, over-the-top (OTT) players are also expanding the scope of their offerings, disrupting different industry verticals in the process. We will try to discuss below points :
Indoor multi operator solutions - Network sharing and OutsourcingAmirhossein Ghanbari
Indoor solutions as a part of cellular mobile networks’ planning have been used for years in a way to fulfill the lack of an admissible coverage while subscribers experienced using cellular phones indoors. On the other hand, network sharing is a commonly used solution for mobile operators in order to lower their network capital and operational expenditures; that has also commonly been used for Distributed Antenna System (DAS) solutions in indoor deployments. Besides sharing, outsourcing network operation and maintenance has also been widely accepted by wireless carriers all around the world after that IT outsourcing flow, which started in late 90s, seemed to be quite promising for lowering operational costs.
The raise of new technologies in this domain that always promise higher, better and more to subscribers, little by little started to become worrisome since operators began to experience lower revenues from voice services during last couple of years as well as higher demand of capacity. As a result, operators started considering deploying indoor networks as a part of their planned network, with regard to the fact that during recent years the femtocell technology became the hot topic for smallcell deployments. This way, MNOs could exploit benefits of covering customers indoors efficiently as well as offloading mobile data traffic from macro cellular networks. But a question rose afterwards; why sharing and outsourcing in smallcell networks have not taken off yet? as they have been commonly used in macro cellular networks and DAS solutions?
In this MSc thesis, cooperation between different actors of the shared indoor mobile network ecosystem is studied by investigating both possible sharing models and the concept of outsourcing network operation and management for smallcell networks. This investigation has been done based on femtocells as the most suitable technology both for better coverage and higher capacity. During this process, different roles of actors in the ecosystems, the business relations between them and the main drivers of sharing were studied as well as discussing the main beneficiary of sharing, in order to find different types of cooperation and correlation in the ecosystem.
The main research questions in the thesis revolve around absence of sharing either active or passively in indoor mobile networks as well as outsourcing network operation and management. Eventually, a series of possible deployment models for shared and outsourced indoor mobile networks are presented where they have been tried to be verified by a number of use cases. As a result, this study proposes a set of recommendations for different possible operators in the ecosystem in order to formulate a profitable business model for them. These recommendations are believed to enable taking off sharing and outsourcing in smallcell networks.
I have for some time worked on training notes (eventually a book) that particular targets the un-initiated or persons / companies interested in understanding how Telco works and thinks. Particular focusing on Economics and Business Models.
These notes where used in a recent training I gave in Myanmar and as such many of the examples are particular to Myanmar.
For the initiated this is likely going to be too easy and sometimes even feel like cheating (just a bit).
Stay tuned as I will be updating these particular slides frequently and as I tailor make them for particular requests or interests.
In case you are interested in the actual training get in touch.
Mobile Telecoms Tech & Market Disruptions - April 2015 VersionDean Bubley
The next 5 years will bring huge changes to the mobile network industry. Network operators will see revenue and usage from voice telephony & SMS decline, while new communications apps will mostly be driven by context & design, not 3GPP standards.
4G networks will continue to be deployed, with 5G coming into view - but data traffic may not grow to the degree expected. WiFi is growing in important - but will only have limited integration with cellular. Net Neutrality concerns will continue to rumble - but most of the new "ideas" like paid priority or sponsored data will fail.
We will also see "multi-stakeholder" issues coming to the fore, where regulators will need to ensure the telecom industry encompasses the needs of users, venues, app developers, IoT companies, brands & Internet players. That said, attempts by Apple and Google to enter the cellular space with SIMs and MVNOs will remain niche
The Megatrend of M2M - a View of the Year 2018 - Craig Rispin Keynote at - C...Craig Rispin
The Megatrend of M2M - a View of the Year 2018
M2M is poised to become the biggest technology trend in the history of mankind. Tomorrow M2M will change your business, help you live longer, and probably save your life too. Who will be able to take advantage of the technology in the future? How can you position yourself to take advantage of the M2M Megatrend? Those questions, and many more will be answered in this keynote talk. The session will be interactive, so bring your mobile devices!
The telecommunications industry has changed radically in the past 10 years as data-hungry customers with smart devices consume ever more bandwidth. While many players are diversifying their revenue streams, ensuring that new services deliver healthy margins remains challenging. At the same time, over-the-top (OTT) players are also expanding the scope of their offerings, disrupting different industry verticals in the process. We will try to discuss below points :
Why Venture Capitalists invest in the app economy T-Ventures Deutsche TelekomThomas Grota
An overview why venture capitalist are investing in startup companies in the app economy segments. Giving advise what topics are relevant for investors and founders. Showing examples of successful companies and investment history.
Telecom operators often frame their battle "against OTT players". This is flawed - telecom operators themselves can offer OTT services, for content or communications or cloud services. The presentation characterises the evolution of telco-OTT services, as well as some of the obstacles and required skillsets. It also examines tehe emergence of WebRTC as a key enabler
How Changing Mobile Technology Is Changing The Way We Do Business Osaka University
2014 Feb How Changing Mobile Technology Is Changing The Way We Do Business
When the first mobile phones came out in sizes such as shoeboxes, people thought it was convenient, but not practical. Car phones came around the same time but weren't quite life changing yet. Then the phones got small enough for pockets and people in all walks of life started using mobile phones in various places. Undoubtedly, mobile phones have changed people lives.
In Feb, the C8 CEO Insights luncheon is pleased to welcome Dr. Minoru (Mick) Etoh. Mick is the Managing Director of R&D and strategy in Japan, as well as CEO of Docomo Capital based in Palo Alto, California. He will be sharing with us on how he sees the business and technology landscape is changing due to advances in telecommunications and mobility. How companies are prospering in this next generation, and how some firms are actually missing the boat. This is a wonderful opportunity to hear from one of Japan's leaders from a flagship firm.
Digital Media and the Next Generation Social WebAchillesMedia
P. Thomas Jenkins is Executive Chairman and Chief Strategy Officer for Open Text™ Corporation (NASDAQ: OTEX, TSX: OTC) of Waterloo, Ontario, Canada, the largest independent software company in Canada. Open Text supports approximately 46,000 customers and millions of users in many of the world's largest companies, government agencies and professional service firms. Open Text’s Livelink ECM® solutions unite people, processes and information, helping organizations improve productivity, automate processes and manage large volumes of documents, e-mails and other content.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.