Hybrid Project Management Methods

All risk is enterprise risk. Cybersecurity Risk Management (CSRM) must be part of Enterprise Risk Management (ERM). Many companies think managing cyber risks is: ╳ Just an IT problem. ╳ Isolated from other risks. ╳ A low-priority task. But in reality, it is: ☑ A key part of the entire risk strategy. Here are the key steps to integrate cybersecurity risk into enterprise risk management: 1. Unified Risk Management ↳ Integrating CSRM into ERM helps handle all enterprise risks effectively. 2. Top-Level Involvement ↳ Top management must be involved in managing cyber risks along with other risks. 3. Contextual Consideration ↳ Cyber risks should be considered in the context of the enterprise's mission, financial, reputational, and technical risks. 4. Aligned Risk Appetite ↳ Align risk appetite and tolerance between enterprise management levels and cybersecurity systems. 5. Holistic Approach ↳ Adopt a holistic approach to identify, prioritize, and treat risks across the organization. 6. Common Risk Language ↳ Establish a common language around risk that permeates all levels of the organization. 7. Continuous Improvement ↳ Monitor, evaluate, and adjust risk management strategies continuously. 8. Clear Governance ↳ Ensure clear governance structures to support proactive risk management. 9. Digital Dependency ↳ Understand how cybersecurity risks affect business continuity, customer trust, and regulatory compliance. 10. Strategic Enabler ↳ Prioritize risk management as both a strategic business enabler and a protective measure. 11. Risk Register ↳ Use a unified risk register to consolidate and communicate risks effectively. 12. Organizational Culture ↳ Foster a culture that values risk management as important for achieving strategic goals. Integrating cybersecurity risk into enterprise risk management isn't just a technical task. It's a strategic necessity. 💬 Leave a comment — how does your company handle cyber risk? ➕ Follow Andrey Gubarev for more posts like this

🚨NSA Releases Guidance on Hybrid and Multi-Cloud Environments🚨 The National Security Agency (NSA) recently published an important Cybersecurity Information Sheet (CSI): "Account for Complexities Introduced by Hybrid Cloud and Multi-Cloud Environments." As organizations increasingly adopt hybrid and multi-cloud strategies to enhance flexibility and scalability, understanding the complexities of these environments is crucial for securing digital assets. This CSI provides a comprehensive overview of the unique challenges presented by hybrid and multi-cloud setups. Key Insights Include: 🛠️ Operational Complexities: Addressing the knowledge and skill gaps that arise from managing diverse cloud environments and the potential for security gaps due to operational siloes. 🔗 Network Protections: Implementing Zero Trust principles to minimize data flows and secure communications across cloud environments. 🔑 Identity and Access Management (IAM): Ensuring robust identity management and access control across cloud platforms, adhering to the principle of least privilege. 📊 Logging and Monitoring: Centralizing log management for improved visibility and threat detection across hybrid and multi-cloud infrastructures. 🚑 Disaster Recovery: Utilizing multi-cloud strategies to ensure redundancy and resilience, facilitating rapid recovery from outages or cyber incidents. 📜 Compliance: Applying policy as code to ensure uniform security and compliance practices across all cloud environments. The guide also emphasizes the strategic use of Infrastructure as Code (IaC) to streamline cloud deployments and the importance of continuous education to keep pace with evolving cloud technologies. As organizations navigate the complexities of hybrid and multi-cloud strategies, this CSI provides valuable insights into securing cloud infrastructures against the backdrop of increasing cyber threats. Embracing these practices not only fortifies defenses but also ensures a scalable, compliant, and efficient cloud ecosystem. Read NSA's full guidance here: https://lnkd.in/eFfCSq5R #cybersecurity #innovation #ZeroTrust #cloudcomputing #programming #future #bigdata #softwareengineering

𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵 𝗶𝗻 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 𝘄𝗶𝘁𝗵 𝗽𝗴𝗮𝗶 𝗮𝗻𝗱 𝗖𝗼𝗵𝗲𝗿𝗲! In the data-driven world we live in, search functionality is the backbone of many applications. However, traditional hybrid search models often struggle to balance precision, efficiency, and complexity. That’s where pgai from Timescale  steps in, offering a solution that redefines hybrid search within PostgreSQL. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗼𝗳 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵: Hybrid search models combine vector and keyword search for better data retrieval but face several issues: - 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Managing data across systems increases complexity and synchronization challenges. - 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗟𝗲𝘃𝗲𝗹 𝗝𝗼𝗶𝗻𝘀 & 𝗥𝗲-𝗥𝗮𝗻𝗸𝗶𝗻𝗴: Merging data from various sources can be resource-intensive and slow performance. - 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗤𝘂𝗲𝗿𝘆 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Navigating vector and keyword searches often requires complex query syntax, making maintenance and optimization difficult as data grows. 🐘 𝗽𝗴𝗮𝗶: 𝗔 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗲𝗿 𝗳𝗼𝗿 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟: With pgai, PostgreSQL natively integrates semantic search (with dense embeddings for context) and keyword search (with sparse embeddings for exact matching) using Timescale. This combination is a powerful shift from traditional models, bringing several unique benefits to the table: 1️⃣Efficient Storage: By leveraging Timescale for storing dense and sparse embeddings, pgai allows for efficient storage and retrieval, which is optimized for hybrid search use cases. 2️⃣ Smooth Integration: pgai enables semantic search with Cohere’s embeddings, adding a layer of contextual understanding. This allows searches to capture not only exact terms but also the intent behind them, enhancing relevance. 3️⃣ Accurate Re-Ranking: pgai’s integrated re-ranking capability ensures that both semantic and exact results are ordered effectively, prioritizing the most relevant items in a fraction of the time. 4️⃣ Accelerated Performance: With pgai, search latency is significantly reduced. By performing dense and sparse searches in a single step, it speeds up retrieval, offering a seamless user experience even with large datasets. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: - pgai’s hybrid search is faster and more accurate than traditional methods, handling both dense (semantic) and sparse (keyword) embeddings with ease. - Simplified indexing and storage with Timescale ensures minimal maintenance. - Better ranking and relevance: pgai enhances how we interact with PostgreSQL, making it easier for developers to implement powerful search solutions in applications. With pgai, Timescale is bringing a truly transformative solution to PostgreSQL users. 𝗽𝗴𝗮𝗶 𝗚𝗶𝘁𝗛𝘂𝗯 - https://lnkd.in/e5mDkxRv

The COSO ERM Cube Explained: Turning Risk into Strategic Advantage The COSO Enterprise Risk Management (ERM) framework is one of the most widely used structures for building strong, integrated risk governance. It’s not just a compliance tool—it’s a strategic enabler that helps organizations manage uncertainty and achieve their goals with confidence. Let’s break down the cube and what makes it powerful. ⸻ Three Dimensions of the COSO ERM Cube 1. Risk Components (Front Face): These 8 components represent a complete risk process: • Internal Environment – The culture and tone from the top • Objective Setting – Aligning risk appetite with strategy • Event Identification – Spotting internal and external risk events • Risk Assessment – Evaluating likelihood and impact • Risk Response – Choosing how to treat risk (accept, avoid, reduce, share) • Control Activities – Implementing policies and procedures • Information & Communication – Ensuring timely, relevant data flow • Monitoring – Ongoing review and improvement of the risk framework ⸻ 2. Risk Management Objectives (Top Face): These are the four key goals of risk management: • Strategic – Supporting mission-critical decisions • Operations – Ensuring effective and efficient processes • Reporting – Maintaining accurate and transparent reporting • Compliance – Adhering to laws and regulations ⸻ 3. Entity & Unit-Level Components (Side Face): This shows that ERM must be integrated at all levels: • Entity Level • Division • Business Unit • Subsidiary ⸻ Why It Matters: • Holistic View: The cube ensures no risk is looked at in isolation. • Scalable: Whether you’re a multinational or a startup, COSO applies. • Strategic Alignment: Helps embed risk thinking into planning, budgeting, and execution. ⸻ Final Thought: COSO’s ERM framework isn’t just about identifying risk. It’s about building an ecosystem where risk and opportunity are managed together—across all levels, for all objectives. #COSO #ERM #RiskManagement #CorporateGovernance #RiskFramework #StrategicRisk #Compliance #OperationalRisk #InternalControls #RiskCulture #Governance #BoardOversight #RiskStrategy #EnterpriseRiskManagement

#GenerativeAI is pushing organizations to use hybrid data platforms for data management. These platforms combine conventional and new data management approaches to meet the different demands of AI-based insights and operations. Here’s an in-depth look at how #GenAI is impacting hybrid data platforms: 𝗥𝗼𝗹𝗲 𝗼𝗳 𝗛𝘆𝗯𝗿𝗶𝗱 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 Hybrid data platforms integrate on-premises and cloud environments, enabling seamless data management, storage, and processing. They provide the flexibility to leverage the best of both worlds—security and control of on-premises systems with the scalability and cost-efficiency of the cloud. 𝗞𝗲𝘆 𝗗𝗿𝗶𝘃𝗲𝗿𝘀 𝗼𝗳 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 🔹 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Hybrid platforms offer the ability to scale resources dynamically to meet the demands of AI workloads. 🔹 𝐂𝐨𝐬𝐭 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Balancing on-premises infrastructure with cloud resources helps optimize costs. 🔹 𝐅𝐥𝐞𝐱𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Organizations can choose the best environment for different data types and workloads, enhancing operational flexibility. 🔹 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Hybrid models help meet stringent data residency and compliance requirements by keeping sensitive data on-premises. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗶𝗻 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗛𝘆𝗯𝗿𝗶𝗱 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗳𝗼𝗿 𝗚𝗲𝗻𝗔𝗜 🔹 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Ensuring seamless integration and consistency of data across diverse environments can be complex. 🔹 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: Protecting data as it moves between on-premises and cloud environments requires robust security measures. 🔹 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Balancing the performance of GenAI workloads across hybrid infrastructures can be challenging. 🔹 𝐒𝐤𝐢𝐥𝐥 𝐆𝐚𝐩𝐬: Implementing and managing hybrid platforms requires specialized skills that may be in short supply. 𝗙𝘂𝘁𝘂𝗿𝗲 𝗢𝘂𝘁𝗹𝗼𝗼𝗸 The future of #hybriddataplatforms is promising, driven by advancements in GenAI and increasing data complexity. As #GenerativeAI continues to develop with the fast changes of the #machinelearning algorithms and computational capabilities, the demand for hybrid data platforms will probably grow. Early adopters who overcome the difficulties of integration and governance can swiftly gain an advantage in the use of data-driven insight and innovation. #GenAI #HybridDataPlatforms #DataManagement #CloudComputing #FutureOfWork #Innovation #TechTransformation #DataStrategy

Most Projects Fail to Deliver Full Value… Because Stakeholder Management Is an Afterthought. ~ Conflicting priorities stall critical decisions. ~ Misaligned expectations derail project timelines. ~ Key sponsors disengage, leaving teams without support. And yet, when these challenges arise, most teams focus on “more updates” or “more stakeholder meetings.” But the real issue isn’t the frequency of communication – It’s ineffective stakeholder management. Here’s what I consistently see in projects: → Too Many Decision-Makers – Multiple stakeholders with conflicting goals slow down consensus and project momentum. → Competing Priorities – What’s urgent for one stakeholder may be irrelevant for another, creating constant friction. → Limited Resources – Tight budgets and stretched teams make balancing stakeholder demands increasingly difficult. These challenges lead to delays, frustration, and loss of stakeholder trust. What’s the solution? A structured and strategic stakeholder management approach, not just ad hoc engagement. Here’s how I help organisations elevate their stakeholder management: 1. Clarify Expectations Early → Align all stakeholders on shared goals, roles, and success metrics upfront. 2. Strategic Stakeholder Mapping → Using tools like the Power-Interest Matrix to categorise stakeholders and tailor engagement accordingly. 3. Targeted Communication Strategies → Communicating the right information, to the right people, at the right time. 4. Action-Oriented Engagement Plans → Prioritising critical stakeholders and focusing efforts where they create the most impact. When organisations manage stakeholders effectively, the outcomes speak for themselves: → Faster decision-making: Streamlined discussions and fewer bottlenecks.  → Stronger stakeholder alignment: Reduced conflicts and enhanced project cohesion.  → Higher project success rates: Deliverables that meet or exceed expectations.  → Improved stakeholder relationships: Greater trust and long-term collaboration. Stakeholder management isn’t a soft skill – it’s a business-critical strategy. Are competing priorities slowing your projects down? Let’s address it. Drop me a message and let’s explore how structured stakeholder engagement can drive project success and stakeholder buy-in. —- 📌 Want to become the best LEADERSHIP version of yourself in the next 30 days? 🧑💻Book 1:1 Growth Strategy call with me: https://lnkd.in/gVjPzbcU #Leadership #Strategy #Projects #Success #Growth

Power BI Tip Manage Stakeholder Expectations from Day One Power BI projects can fail due to misaligned expectations. To prevent this: ✅ Define what the report will and won’t include from the start. ✅ Set realistic deadlines based on data complexity and report requirements. ✅ Communicate limitations (e.g., real-time vs. scheduled refresh). ✅ Provide early prototypes for stakeholder feedback. 🔹 Clear expectations lead to higher satisfaction and fewer last-minute changes!

I don't know what I don't know - a common challenge that can derail projects and team success. Having led multiple teams and projects across Asia Pacific, I've learned that addressing unknown unknowns is crucial for project success. Here's how I approach this challenge: 🔍 Start with structured discovery sessions. I always kick off projects with comprehensive discovery workshops where team members can openly share their knowledge gaps and concerns. This creates psychological safety and helps surface potential blind spots early. 📊 Map out knowledge domains. I try to identify different areas of expertise needed for the project - technical, business, regulatory, market-specific requirements. This helps highlight where we might have gaps in our collective knowledge. 🤝 Engage subject matter experts early. When dealing with new markets or technologies, I proactively bring in experts from different functions or external consultants. Their insights often reveal critical considerations we hadn't thought about. Along the way, I will proactively consult them for issues that crop up along the way too. ❓ Ask better questions. I've learned that asking the right questions is more important than having immediate answers. Some key questions I always ask: - What regulatory or compliance issues might we face? - What market-specific factors should we consider? - What similar projects have we done before? - What were the unexpected challenges? 🔄 Regular retrospectives. I schedule frequent check-ins where teams can safely discuss new uncertainties that emerge. This creates a culture of continuous learning and adaptation. 💡 Build in buffer time. When planning projects, I always account for the "unknown unknowns" by adding contingency time and budget. The more complex, the more likely chance of delays. This has saved many projects from delays when unexpected challenges arose. So, fellow leaders and project managers, how do you handle the "unknown unknowns" in your projects? What strategies have worked well for you in identifying and addressing knowledge gaps? #leadership #coaching #strategy #jenelim

Are you a Scrum Master navigating the complex terrain of organizational change? Stakeholder management is a requisite skill for success. Effective stakeholder management isn't just a nice to have in organizational transformation—it's the cornerstone of success. As Scrum Masters, we bridge the gap between visionary change and practical implementation, ensuring that every critical voice is heard and valued. Identify and Understand: The journey begins by identifying the key players—product sponsors, team members, and departments like compliance, HR, and IT. Each of these groups offers unique perspectives that can significantly shape the transformation. Early identification ensures that no crucial insights are missed. But it's not enough to simply identify stakeholders; understanding their needs, expectations, and potential concerns is vital. This deeper engagement allows us to align transformation goals with their interests, fostering an empathetic and collaborative approach. Not all stakeholders wield the same influence or have the same level of interest. By analyzing these dynamics, we can prioritize our efforts, focusing on those who will have the most impact on the success of the transformation. This strategic prioritization maximizes our resources and ensures effective communication. Engagement, however, is an ongoing process. It's about more than just regular updates—it's about actively involving stakeholders in feedback sessions and decision-making processes. This continuous involvement nurtures a sense of ownership and commitment, which is crucial for maintaining momentum and support. As the transformation unfolds, stakeholder dynamics will inevitably shift. Our role as Scrum Masters is to stay attuned to these changes and adapt our engagement strategies accordingly. This ensures that concerns are addressed promptly and stakeholders remain aligned with the transformation goals. In conclusion, effective stakeholder management is integral to navigating the complexities of organizational transformation. Scrum masters, as change agents, pave the way for a successful and sustainable change by fostering collaboration, trust, and shared ownership. #Agile #ReTHINKagile #Scrum #ReTHINKscrum #StakeholderManagement #Leadershipandmanagement

Transforming How We Think About Collaboration: The 'Collaborative Innovation' Approach 🪄 🎯 𝗕𝗲𝗴𝗶𝗻 𝘄𝗶𝘁𝗵 𝗔𝘂𝗱𝗮𝗰𝗶𝗼𝘂𝘀 𝗚𝗼𝗮𝗹𝘀 Instead of seeking lowest-common-denominator agreement, start with a powerful vision that attracts committed changemakers. 👥 𝗜𝗻𝘁𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘆𝘀𝘁𝗲𝗺 𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 Rather than "open door" meetings, carefully select participants to ensure the whole system is in the room — from grassroots to grasstops. 🔄 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗖𝗼-𝗰𝗿𝗲𝗮𝘁𝗶𝗼𝗻 Move away from "develop-then-present" to working together in real-time, leveraging collective intelligence. ⚡️ 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗧𝗲𝗻𝘀𝗶𝗼𝗻 Stop pushing for false harmony and start using differences as catalysts for innovation. ✨ 𝗘𝗮𝗿𝗹𝘆 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴 & 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Build the strategy through action rather than endless planning sessions. What's powerful about this approach is how it transforms resistance and diversity into sources of innovation. It's not about getting everyone to agree — it's about weaving different perspectives into transformative interventions. Insights from Russ Gaskin, CoCreative and Ashoka's Leading Multi-stakeholder Collaborations course💡 🤔 How do you navigate the tension between inclusion and focused action in your collaborative work? #SystemicChange #Collaboration #Innovation #Leadership #CollectiveImpact