5G Core Network Deployment
End to end Program Lead for 5G core deployment for T1 US Operator
- Client T1 US Operator
- Date 2018-2021
- Scope Lead Program Director. 700+ Project Members
- Budget $220M
I bring extensive expertise in Strategic Planning and Program Management, showcasing a proven track record of successfully overseeing portfolios and program budgets exceeding 1 Billion. My proficiency lies in devising & implementing innovative strategies to enhance & maintain shareholder wealth
I bring extensive expertise in Strategic Planning and Program Management, showcasing a proven track record of successfully overseeing portfolios and program budgets exceeding 1 Billion. My proficiency lies in devising & implementing innovative strategies to enhance & maintain shareholder wealth.
Help large IT/Telco/TechCo clients by creating, short, medium & long term strategies to achieve business vision
Management of large/complex telcom core/IT programs for Tier 1 operators using local, global delivery models
Cloud transformation strategy to optimize business applications & telco infrastructure investments
P&L management & accountability to run business units for sustained YoY growth strategies
Manage large global teams with multi-management layers. Coaching, mentoring, motivating teams
Excellence in sales strategies for large telco deals. Consultative selling & end to end RFP response management
End to end Program Lead for 5G core deployment for T1 US Operator
Led the deployment of 5G core deployment for one of the worlds largest telco’s. Full end to end Program responsibility of 20+ projects. Client CTO level reporting.
Master Systems Integrator (MSI), for Canadian IPTV service deployment & launch
Transition from legacy cable operations to IPTV services including on demand content, personalization, multi-device access
Implementation of a greenfield IPTV solution integrating 55 3rd party service providers/vendors
Master Systems Integrator (MSI) coordinating all 55 partners to design, deploy, test and launch solution with agreed timeline, budget and scope
End to end program manager responsible for both lab and production environments
IP Multimedia Subsystem IMS Deplyment
Inflight program with multiple issues resulting in client dissatisfaction, cost over-runs and demotivated project team
Created a program strategy to change trajectory
Worked with project managers and team to:
Program including Virtual vMTAS, vENM, vEDA, vGUI and VNF-LCM for Tier 1 Operator in US. Includes SW upgrades, expansions and new feature introductions including 5G
Responsible for Network, Media, Analytics, AI & Data Services portfolios
Analytics, AI Practice Canada
Responsible for Network, Automation, Cloud, Media & Security portfolios
Program delivery for T1 Telco's in Canada & US for 3G, 4G and 5G programs. Led global teams for complex, multi-year programs.
Led multiple strategic programs for Canadian T1 telcos as well as for Caribbean Operators (Cable & Wireless/LIME, BahamaTel, TelEM)
Supported wireless core planning and strategy programs.
Enterprise strategy for fixed wireless operator. Pricing, New Production Introductions, Sales strategies for residential, SME & enterprise segments
Led team of Account Managers and was responsible for new sales and account management of Banking, Service provider sectors.
Completed general MBA
Awarded Chartered Marketer status
Project Management Professional via PMI
Completed Certification in Marketing followed by Post Graduate Diploma in marketting
SAFe Practitioner Certification
Certification in Program Management
Comprehensive training on Telecom management including a case study & presentation.
A holistic approach to ICT & Sustainability (1 month program)
Led team of Architects and enabled a T1 Telco to set-up the Cloud Transformation frameworks by creating a Clod Center of Excellence, Landing Zone, Day2Ops, FinOps etc.,
Lead the DevSecOps program to plan, design, deploy and support unified CI/CD Pipeline tools for a T1 Operator in Canada.
E2E program delivery lead for 5GC core launch for Tier 1 operator in US
Unified Data Management (UDM) expansion, SW upgrade for CUDB, HSS, HLR nodes for Tier 1 Canadian Operator
Dave is a disciplined and strong result-oriented Telecom leader. He has supported his clients for many years with understanding of their business needs and has been able to add significant value to their growth. He approaches their situation as a partner and with good breadth of Technical Knowledge and global experience, leads them for success.
I had the pleasure of working with Dave and he demonstrated the highest professionalism throughout his engagement. His attention to detail and business acumen is remarkable. He consistently performed at a high level, while meeting and exceeding the project team's expectations.
Dave is a strategic thinker who brings excellent organization and interpersonal skills to his work. His high-level analysis is detailed, thought provoking and always professionally presented
In the dynamic landscape of telecommunications, operators face numerous challenges, including increased customer demands, network complexity, and operational efficiency. Artificial Intelligence (AI) technology offers promising solutions to address these challenges and unlock new opportunities. By harnessing the power of AI, telecom operators can enhance network performance, optimize operations, deliver personalized customer experiences, and drive innovation. This article explores the potential of AI technology implementations in the telecom industry and how they can revolutionize the way operators operate, ensuring their competitiveness in the digital era.
AI technology can significantly enhance network performance by enabling intelligent network optimization, predictive maintenance, and automated fault detection. Through advanced algorithms and machine learning techniques, operators can analyze vast amounts of network data in real-time, identifying network congestion, optimizing resource allocation, and proactively addressing potential issues. AI-powered solutions can also predict network failures and perform preventive maintenance, reducing downtime and improving network reliability.
AI technology streamlines and automates various operational processes, leading to increased efficiency and cost savings for telecom operators. AI-powered systems can automate routine tasks such as network configuration, provisioning, and performance monitoring, freeing up valuable resources and reducing human errors. Furthermore, AI-based analytics can provide valuable insights into customer behavior, network usage patterns, and demand forecasting, enabling operators to make data-driven decisions for capacity planning, resource allocation, and service optimization.
AI technology enables telecom operators to deliver personalized customer experiences by leveraging data analytics and machine learning algorithms. By analyzing customer behavior, preferences, and usage patterns, operators can offer targeted and relevant services, personalized promotions, and tailored recommendations. AI-powered chatbots and virtual assistants provide 24/7 customer support, handling common queries, and resolving issues promptly. Additionally, sentiment analysis and natural language processing enable operators to understand customer feedback, sentiments, and intent, enabling them to enhance their services and address customer concerns effectively.
AI technology serves as a catalyst for innovation in the telecom industry. Operators can leverage AI to develop new services, explore revenue streams, and differentiate themselves in the market. AI-powered solutions enable operators to deploy virtualized network functions, software-defined networking, and network slicing, facilitating the implementation of 5G and enabling new use cases such as IoT, smart cities, and autonomous vehicles. Additionally, AI-based predictive analytics can identify emerging trends, enabling operators to proactively develop new products and services that meet evolving customer needs.
By embracing AI, operators can drive operational efficiency, deliver superior customer experiences, and stay ahead in the competitive telecommunications landscape.
Advantages | AI for Telcos | Traditional Operations |
---|---|---|
Efficiency | Automates repetitive tasks, improves operational efficiency | Relies on manual processes, prone to errors and inefficiencies |
Insights | Generates valuable insights from large volumes of data | Relies on limited data analysis, slower decision-making |
Personalization | Enables personalized customer experiences and targeted offerings | Offers generic services without customization |
Scalability | Flexible and scalable to handle growing network demands | Limited scalability, may struggle to handle increasing workloads |
Network Optimization | Optimizes network performance, reduces congestion and downtime | Relies on manual network management, potential for bottlenecks |
Proactive Maintenance | Predicts and prevents network failures through proactive maintenance | Reactive approach to maintenance, increased downtime |
Security | Enhances network security, detects and mitigates threats | May have limited security measures, vulnerable to attacks |
In conclusion, AI technology implementations have the potential to transform the telecom industry, empowering operators to overcome challenges, optimize operations, and deliver exceptional customer experiences. From enhancing network performance and optimizing operations to personalizing services and driving innovation, AI brings immense opportunities for telecom operators to stay competitive in the digital era. Embracing AI technologies and harnessing the power of data analytics and machine learning can unlock new possibilities, enabling operators to redefine their business models, improve efficiency, and capture the full potential of emerging technologies. By adopting AI, telecom operators can position themselves as leaders in the rapidly evolving telecommunications landscape, driving growth, and shaping the future of connectivity.
In recent years, telecom operators in North America have been undergoing a significant transformation by migrating their services and infrastructure to the cloud. This move marks a paradigm shift in the telecommunications industry, with operators recognizing the immense advantages and potential that cloud computing offers. In this article, we will explore the advantages, challenges, implications on operational and capital expenditures (OpEx and CapEx), and provide insights tailored to the Canadian and North American context for telecom operators venturing into cloud adoption.
By embracing cloud technology and partnering with suitable providers, operators can unlock the cloud’s potential, drive innovation, and improve customer experiences in the evolving telecommunications industry.
Cloud migration brings about significant implications on both operational and capital expenditures for telecom operators in North America:
In the Canadian and North American context, telecom operators have specific considerations when moving to the cloud:
The cloud revolution presents tremendous opportunities for telecom operators in North America, enabling them to harness scalability, cost efficiency, enhanced network resilience, and accelerated service innovation. By carefully considering challenges such as legacy system integration, network latency, and data privacy, operators can plan and execute a successful cloud migration strategy.
In the Canadian and North American context, telecom operators should prioritize data sovereignty, connectivity, and compliance with regional regulations. Leveraging the advantages of OpEx optimization and reduced CapEx, operators can position themselves for growth, innovation, and improved customer experiences.
By embracing cloud technology and partnering with reputable cloud service providers that understand the unique requirements of the North American telecommunications landscape, operators can unlock the full potential of the cloud and thrive in an increasingly digital and connected world.
Telecom operators are increasingly turning to cloud computing to drive innovation, scalability, and cost efficiency. With a plethora of cloud providers available, choosing the right one for telco cloud migrations is crucial. In this article, we will focus on the advantages of Amazon Web Services (AWS) through a 7R analysis, highlighting its superiority for telecom operators. By examining the seven dimensions of the 7R framework – Reach, Richness, Resiliency, Risk, Return, Robustness, and Relationships – we can gain a comprehensive understanding of why AWS is the optimal choice for telco cloud migrations.
By leveraging the 7R analysis, telecom operators can plan their cloud migrations through a holistic approach..
Aspect | Shared Responsibility Model | Traditional RACI Matrix |
---|---|---|
Definition | Clearly defines security responsibilities between CSP and operator | Defines roles and responsibilities for tasks and decision-making |
Focus | Security in the context of cloud services | General task and decision responsibilities |
Scope | Security of cloud infrastructure and applications | Overall task and decision responsibilities |
Key Roles | CSP (Cloud Service Provider), telecom operator | Individuals or teams responsible, accountable, consulted, informed |
Accountability | Shared responsibility for security measures | Clear assignment of responsibility and accountability |
Collaboration | Collaborative effort between CSP and operator | Collaboration based on consultation and involvement |
Flexibility | Adaptable to various cloud deployment models and services | Applicable to a wide range of business processes and projects |
Security Emphasis | Focused on protecting cloud infrastructure and customer data | Less emphasis on security, broader focus on overall tasks |
Scalability | Enables scalability of security measures | Scalable for assigning roles and responsibilities |
Applicability to Cloud | Specifically designed for cloud environments | Not specifically designed for cloud environments |
Regulatory Compliance | Assists in meeting regulatory compliance requirements | May not directly address regulatory compliance |
Communication | Establishes clear lines of communication on security matters | May not explicitly address communication requirements |
AWS’s global reach, rich service portfolio, resiliency, risk management practices, attractive return on investment, robustness, and strong relationships make it the preferred choice for telco cloud migrations. Telecom operators can leverage AWS’s extensive global infrastructure to scale their services globally, while its diverse service offerings enable operators to optimize their workloads effectively.
The resiliency of AWS ensures uninterrupted service delivery, even in the face of unexpected failures, guaranteeing a reliable experience for telecom customers. AWS’s strong security measures and compliance standards mitigate risks and ensure data protection and privacy compliance, a critical consideration for telecom operators handling sensitive customer information.
Furthermore, AWS’s cost-effective pricing models and pay-as-you-go billing structure contribute to a favorable return on investment, allowing operators to optimize resource allocation and reduce costs. The robustness of AWS’s infrastructure, coupled with its high-performance compute and storage options, ensures the efficient operation of telecom applications and services.
AWS’s strong relationships with technology partners and telecommunications providers provide operators with access to specialized tools, pre-integrated solutions, and industry expertise. This extensive ecosystem supports telecom operators throughout their cloud migration journey, enabling them to leverage the collective knowledge and resources of the AWS network.
In conclusion, the 7R analysis demonstrates the distinct advantages of AWS for telco cloud migrations. Its global reach, comprehensive service portfolio, resiliency, risk management practices, attractive return on investment, robustness, and strong relationships position AWS as the optimal choice for telecom operators seeking to unlock the full potential of the cloud. By partnering with AWS, telecom operators can accelerate their digital transformation, enhance service delivery, and stay ahead in the competitive telecom landscape.