How Tech Leaders Can Improve Business with Adaptive Operations

As Managed Service Providers (MSPs) navigate the fast-evolving tech landscape in 2025, automation powered by AI is a game changer. With rising demand for efficiency and proactive support, automating key processes can free up tech leaders to focus on strategic growth. Here’s how MSPs are leveraging AI to streamline operations: - Ticket Management & Resolution: AI tools like chatbots and predictive analytics prioritize and resolve tickets faster, cutting response times by up to 30%. This ensures clients get real-time support while reducing manual workload. - Proactive Monitoring & Maintenance: AI-driven systems detect anomalies before they escalate, enabling predictive maintenance that minimizes downtime, boosting client satisfaction by 25%. - Resource Allocation: Smart automation optimizes staff scheduling and tool deployment, ensuring resources align with demand, a key for scaling without burnout. - Billing & Reporting: Automated invoicing and custom reports save hours, improving cash flow and client transparency. AI can tailor insights, making data actionable for decision-makers. - Security Enhancements: AI scans for threats 24/7, automating patch management and compliance checks, which is critical as cyber risks grow. For tech leaders, the shift to AI automation isn’t just about efficiency, it’s about staying competitive. Have you integrated AI into your MSP workflows yet? Share your success stories or challenges. I’d love to hear how you’re transforming your business! #MSPInnovation #AIinTech #Automation #TechLeadership #BusinessGrowth

Today, leaders aren’t looking at technology projects as simple upgrades anymore. Whether it’s AI, automation, or digital systems, executives now expect clear proof of strategic value. They want answers to questions like: ✅ Does it align with long term goals? ✅ Will it improve workflows and workforce productivity? ✅ What is the ROI and sustainability impact? ✅ Can it enhance customer experience while ensuring security and compliance? In short: Technology investments must go beyond technical improvements they need to deliver measurable impact on strategy, efficiency, and long term resilience.

Why 40% of Agentic AI Projects May Be Failing and What We Can Do About It? Agentic AI is no longer a futuristic concept, it’s now firmly on Gartner’s strategic tech radar. But there’s a sobering insight: Gartner predicts that over 40% of agentic AI projects will be abandoned by 2027, largely due to unclear ROI, architectural complexity, and underprepared infrastructure. Having worked closely with teams navigating this space, I’ve seen firsthand where things tend to go off track and where we can do better. Here are five shifts I believe product and engineering leaders must embrace. 1. Outcomes over features It’s easy to get excited about what agents can do. But unless specs are tied to measurable outcomes, cost savings, time reduction, error minimization, or improved customer experience, the value remains elusive. 2. Data pipelines are the foundation Agentic systems thrive on real-time, reliable data. Weak observability, schema drift, or poor data hygiene can quietly derail even the most promising initiatives. 3. Governance isn’t a checkbox Privacy, bias, hallucinations, and unpredictable behavior aren’t edge cases, they are design realities. Logging, audits, and fail-safes must be built in from day one. 4. Think small, move fast Start with a proof of concept. Build a minimal viable agent. Iterate. Big-bang launches often lead to burnout, budget overruns, and unmet expectations. 5. Evolve your team structure Roles like agent orchestrators, data stewards, and agent QA specialists are becoming essential. Leaders need to plan for these shifts in capability and mindset. Agentic AI holds immense promise, but the gap between hype and sustainable value is real. The good news? With the right foundations, we can close that gap. Source: https://lnkd.in/gfXGty96? https://lnkd.in/g57zDtUH I would love to hear from others building in this space, Which of these areas are you focusing on right now? #AI #AgenticAI #ProductEngineering #SaaS

IT challenges are a part of every business. Technology is what drives businesses to improve and get ahead of competition. Gaining market share through innovation, not price cutting, is real value. If you are waiting on your technology to work, your client, and their client will not. Remediating issues quickly is essential to do your job, and stay ahead of the competition. If slow responses are not helping your employees and business, give DATAkloud an opportunity to put you ahead with lightning response and remediation.

The concept of the "frontier firm" is rapidly gaining traction as organizations look to harness the power of AI, human-agent collaboration, and data-driven innovation to redefine their business models. According to the 2025 Microsoft Work Trend Index, frontier firms are those that fuse human judgment with AI agents to scale faster, work smarter, and unlock new value—powered by on-demand intelligence and hybrid teams. Main Themes of Frontier Firms 1. AI-Driven Transformation Frontier firms are characterized by their willingness to embrace AI, leveraging agents and co-pilots to automate tasks, enhance productivity, and enable employees to focus on strategic outcomes. 2. Human-Agent Collaboration The shift to hybrid human + agent teams means that agents execute tasks while humans provide oversight, ensuring that innovation is both scalable and responsible. 3. Growth Mindset and Continuous Learning Frontier firms invest in reskilling, education, and evolving their culture to support continuous improvement. 4. Empowering Employees and Reinventing Experiences By enriching employee experiences and reimagining customer engagement, frontier firms accelerate innovation and create new revenue streams. The use of intelligent applications and co-pilots is central to unlocking human ambition and organizational success. As organizations accelerate their AI adoption, security must be embedded into every aspect of the frontier journey. Here are the key security elements to consider: 1. Data Security and Loss Prevention Implement environment strategies and data loss prevention policies to protect sensitive information across AI platforms. Continuous security testing and validation should be embedded in the AI lifecycle to detect and mitigate vulnerabilities, data leaks, and oversharing risks. 2. AI Agent Governance Establish central governance guardrails for copilot and agent deployment, with real-time compliance tracking and proactive mitigation. Enforce least-privileged access for agents, manage their lifecycle from creation to deletion, and ensure visibility and traceability to prevent agent sprawl. 3. Responsible AI and Risk Management Embed Responsible AI principles throughout the agent lifecycle, from ideation to deployment and monitoring. Conduct regular model evaluations, implement deployment safeguards, and establish accountability mechanisms such as third-party oversight or compliance reviews. 4. Continuous Monitoring and Feedback Loops Monitor AI platforms to identify high-value use cases and makers, and nurture champions who drive adoption and change management. Use templates, catalogs, and accelerators to standardize and scale innovation securely. Actionable Steps for Security-First Frontier Firms 1. Assess your organization’s AI governance maturity 2. Implement robust agent governance 3. Engage with Responsible AI frameworks Let’s build the future—securely, responsibly, and together. #MicrosoftSecurity #responsibleAI

Today's business leaders are shifting away from large-scale, multi-year tech rollouts in favor of faster, modular approaches. According to recent insights, nearly 70% of executives now prioritize resource optimization over massive deployments. This reflects a broader trend: IT spending is expected to increase—driven by AI and GenAI initiatives—yet companies want more agile, iterative cycles that deliver value sooner. In essence, the focus is shifting from delivering big, monolithic systems to deploying smaller, adaptable solutions that can be scaled or halted if they don’t produce results. https://lnkd.in/gTh5q9zh #TechOptimization #AgileDeployment #IterativeInnovation #ResourceEfficiency #AIinvestment #ModularTech #CIOInsights #DigitalStrategy #AdaptiveTech #ROIfocused #UnderstandingEnterpriseTech #EnterpriseTechnologyNow #EnterpriseTechnologyToday

Is the era of the massive, multi-year tech overhaul over? It’s looking that way. The new mantra in IT isn't "rip and replace" anymore; it's "optimize and innovate." Gone are the days of the high-risk, "big bang" deployments. A recent CIO Dive article highlights a major shift: nearly 7 out of 10 business leaders are now prioritizing resource optimization for their 2025 tech spending. Companies are trading in 3-year project plans for agile, 6-to-8-week cycles to see value faster. Why the change? **Economic Pressure: With IT inefficiencies costing large enterprises over $100 million last year, there's zero room for wasted resources. **The AI Factor: The immense demands of AI are forcing a smarter, more strategic approach to infrastructure. We can't just throw new hardware at the problem. **Speed to Value: The competitive edge now comes from agility and the ability to pivot quickly, not from massive, monolithic systems. This is a smart move, but it puts a huge pressure on getting the absolute most out of your existing infrastructure. How do you free up resources for new initiatives like AI when you're busy maintaining legacy systems? That's where a partner can make all the difference. At Park Place Technologies, we help you master the "optimize" part of the equation. By extending the life and performance of your current data center assets, we help you unlock capital and resources that you can redirect towards innovation and growth. If you're focused on optimizing your IT environment to fuel what's next, I'd love to connect. Shoot me an email at mmccleave@parkplacetech.com and let's chat. Article Link: https://lnkd.in/gXsM_Wmx #ITStrategy #CIO #DigitalTransformation #Optimization #AI #TechTrends #Infrastructure

1. The Fuel: Technology In the race from physical markets to digital economies, technology has shifted from a luxury to the essential fuel of any resilient ecosystem. Just as a car cannot move without fuel, a modern supply chain ecosystem cannot function without digitalisation, automation, and data analytics. Poor-quality fuel leads to poor performance; similarly, outdated and fragmented systems cause delays and inefficiencies. High-quality, seamless digital integration, however, unlocks unparalleled resilience, speed, and insight. This technological fuel powers three critical functions: a. Digitalisation is the foundation. It transforms manual, inefficient processes into connected, data-generating systems. This is not merely about adopting new software; it is about building a digital backbone that integrates and synchronises economic activities across the entire value chain. Without this connected foundation, advanced tools operate in isolated siloes, and true end-to-end visibility remains out of reach. b. Automation is the force that executes with precision. It carries out physical and digital tasks with speed and accuracy—from robotic arms in warehouses to AI-driven demand forecasting. Its primary aim is to elevate efficiency within defined processes. Most importantly, it amplifies human potential by handling repetitive tasks, freeing the talented workforce to focus on innovation, strategy, and relationship-building. c. Data Analytics is the intelligent navigation system. It transforms raw data into insights and foresight. Once systems are digitalised and automated, the resulting stream of data becomes a strategic asset. Analytics converts this data into predictive intelligence—allowing us to anticipate disruptions, uncover new opportunities, and guide continuous optimisation. This moves the entire ecosystem from reactive problem-solving to proactive strategy. Critical Insight: - The journey to technological integration requires more than a simple plug-and-play approach. To avoid the costly mistake of simply automating existing inefficiencies, businesses must first re-imagine and redesign their underlying processes. This demands a strategic balance: 1. Standardise for compatibility: Processes that touch the broader ecosystem (e.g. tax returns, customs clearance, data exchange) must be standardised to ensure compliance and seamless connection with national platforms and partners. 2. Tailor for advantage: Other processes, such as personalised dashboards or unique KPIs, should be tailored to create a distinct competitive edge. - This redesign should look outward, benchmarking against global best practices to enable technological leapfrogging, not just incremental improvement. Ultimately, successful digital transformation results in the redesign of business and operating models themselves.

Manufacturers are under pressure at a pivotal moment. To continue innovating, they must modernize their operations, strengthening day-to-day operational agility while preparing for long-term AI-driven shifts and the accompanying cybersecurity and sustainability requirements. Technology alone can't solve these problems. As AI adoption accelerates innovation, security must collaborate closely with business, operations, and compliance teams. Strategic alignment is essential to designing, integrating, and governing AI solutions so that security advances in step with innovation. When manufacturers modernize with a clear strategy, improve operational agility and equip their workforce with effective digital tools, they can move beyond managing uncertainty and start using it as an advantage. At NTT DATA, Inc. we work with manufacturers to enable and accelerate innovation that is responsible, strategic and secure. Read more in my blog. https://lnkd.in/eMcNdAAd

To learn more about how manufacturers can turn uncertainty into an advantage, read Prasoon Saxena's latest blog post, which explores modernizing operations with a clear strategy, improving operational agility, and aligning security with innovation.