In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane sits down with Kurt Muehmel, Head of AI Strategy at Dataiku, to explore what it truly takes to scale AI inside enterprises.

Having joined Dataiku as employee #20 and helped scale it globally, Kurt shares practical insights on AI democratization, governance, enterprise architecture, and leadership credibility.Kurt’s Professional Journey: From Consulting to Global AI Strategy:Kurt reflects on his path from consulting and public sector advisory to scaling Dataiku internationally.• Joining Dataiku as employee #20• Leading US expansion from France• Learning AI through customer conversations• Observing enterprise evolution from Hadoop to Generative AIDemocratizing AI Beyond Chatbots:Kurt explains why simply deploying internal GPT tools is only “level 0.1” of democratization.• True AI democratization empowers domain experts• Business users must build AI systems, not just consume them• AI must transform complex enterprise processes• Organizational reasoning matters more than model accessGovernance As Trust And Business Alignment:AI governance is not just risk mitigation — it builds enterprise trust.• Managing data sensitivity and model selection• Aligning AI use cases with business objectives• Defining acceptable risk and performance thresholds• Governance as the foundation for adoption credibilityThe Biggest Architectural Mistake Enterprises Make:Kurt highlights why treating AI as isolated solutions creates long-term friction.• AI is a general-purpose technology• Localized AI deployments create silos• Organizations need a reasoning layer• Architecture must abstract decision-making from modelsEscaping The AI Pilot Trap:Why do so many AI initiatives stall after proof of concept?• Misalignment with real business requirements• Ignoring acceptable error thresholds• Over-focusing on technical performance• Competitive differentiation requires customizationLeadership Credibility In The Age Of AI:Kurt shares what separates real AI leaders from symbolic adopters.• Leaders must actively use AI themselves• Hands-on experimentation builds authenticity• Sincerity of belief drives organizational momentum• AI credibility requires visible commitmentWhy This Conversation Matters:Enterprise AI will not scale through hype, tools, or isolated pilots. It will scale through architecture, governance, alignment, and credible leadership.Kurt’s perspective offers a pragmatic roadmap for organizations navigating AI’s most disruptive phase yet.About The Guest:Kurt Muehmel is Head of AI Strategy at Dataiku. He advises executives on AI adoption, enterprise architecture, and strategic alignment. Having helped scale Dataiku from early startup to global enterprise leader, Kurt combines operational experience with strategic insight to guide organizations through AI transformation.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane speaks with Brian Olynyk, Director of Software Development at Bentley, about his journey in engineering leadership and his CAMP framework. Brian discusses his career path, from IBM to Booking.com, and now at Bentley, where he manages large teams. They explore leadership challenges, team empowerment, and how AI is reshaping software development.Brian’s journey began in engineering and architecture, progressing through roles at IBM, Booking.com, and now Bentley. He shares how his career evolved from technical work into leadership, managing large teams and empowering them to innovate.• Transition from engineering to leadership roles• Experience across various tech environments• Adaptability in Brian’s journeyBrian explains his CAMP framework—Connection, Autonomy, Mastery, and Purpose—and its role in his leadership approach. He highlights the importance of ensuring teams feel connected, have autonomy, master their craft, and align their work with a greater purpose.• CAMP framework’s role in team success• Connection and autonomy in leadership• Implementing CAMP in organizationsBrian discusses the challenges of leading large teams, particularly in scaling organizations. He reflects on how growth often dilutes purpose and how maintaining alignment with company values becomes harder. He shares advice on keeping teams focused as the organization scales.• Leading large teams at Bentley• Risk of losing purpose during growth• Balancing leadership and autonomyAs AI becomes integral to software development, Brian discusses balancing technology and human judgment. While AI streamlines processes, he emphasizes that leadership and strategic decisions should stay human-led. He shares how AI empowers teams but highlights the limits of AI in critical decisions.• Role of AI in software development• Maintaining human judgment in AI environments• Using AI for team empowermentBrian discusses the challenge of maintaining purpose as organizations scale. He stresses reiterating the company’s purpose to keep teams aligned, especially when new team members join.• Purpose as a key factor in leadership success• Challenges during rapid growth• Strategies for keeping teams alignedBrian explores the balance between human leadership and AI. AI can automate tasks, but leadership and decision-making should stay human-led. He shares how AI complements human leadership, not replacing it.• Balancing human leadership with AI• Why leadership must remain human-led in AI environments• AI’s role in augmenting judgmentBrian’s advice: leaders must prioritize self-care to show up at their best for their teams. By maintaining balance, leaders can inspire their teams for long-term success.• Importance of self-care for leaders• How leaders’ energy impacts team performance• Empowering teams while maintaining balanceWhy This Conversation Matters NowAs organizations grow and technology evolves, maintaining strong leadership practices becomes essential for success. Brian’s insights on leadership, AI, and purpose offer valuable lessons for leaders navigating the challenges of modern business environments.About the GuestBrian Olynyk is the Director of Software Development at Bentley, with a focus on building high-performing teams and fostering collaboration. He leads with the CAMP framework, Connection, Autonomy, Mastery, and Purpose driving continuous improvement and innovation.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge, Sr. Marketing Director & Editor-in-Cheif at Techdogs speaks with Dominic Pereira, Vice President of Product Management at Automation Anywhere, about how enterprise automation is evolving in the era of generative and agentic AI.Drawing on more than two decades of experience across BPM platforms, governance and risk systems, and intelligent automation, Dominic shares how organizations can move beyond automation pilots to scalable AI systems. The conversation explores the shift from deterministic workflows to adaptive AI-driven processes, why governance must be embedded early, and how product leaders must think differently when building AI-powered enterprise platforms.From BPM Platforms to Enterprise AIDominic begins by reflecting on his career journey and how it shaped his perspective on innovation.Key experiences that shaped his thinking include:• Building early BPM platforms and learning how scalable SaaS systems are designed • Working closely with business users through governance and compliance platforms • Realizing that successful technology must focus on measurable business outcomes • Combining strong platform engineering with domain knowledge in enterprise systemsThis foundation ultimately led him to work on agentic process automation, where AI systems orchestrate complex workflows across enterprise functions.The Shift From Traditional Automation to Agentic AITraditional automation systems were deterministic and rule-based. They executed predefined tasks with predictable outputs.However, generative AI has dramatically expanded the scope of automation.Dominic explains that organizations are now seeing automation capabilities increase significantly because AI can handle tasks that require cognitive reasoning and contextual understanding.This shift enables organizations to move from:• Automating repetitive tasks • To automating end-to-end business processes • And eventually enabling intelligent systems that adapt and collaborateMoving AI From Pilots to ProductionMany organizations experiment with AI through proof-of-concept projects but struggle to operationalize those initiatives at scale.Dominic outlines three structural pillars that help bridge this gap:Outcome-Driven ArchitectureAutomation should focus on transforming entire business outcomes rather than automating isolated tasks.Human-in-the-Loop DesignHuman judgment remains critical in AI systems, especially for:• Exception handling• Final approvals• Regulated workflowsGovernance by DesignGovernance must be embedded into systems from the start to:• Build organizational trust• Reduce operational risk• Accelerate enterprise adoptionDominic highlights several mechanisms organizations use to maintain quality:• Role-based access controls and governance frameworks • Reusable templates and standardized automation components • AI-assisted automation creation using natural language prompts • Observability tools to monitor performance and prevent technical debtThese practices allow organizations to scale innovation while maintaining stability.About the GuestDominic Pereira is the Vice President of Product Management at Automation Anywhere, with over 20 years of experience building and scaling enterprise B2B SaaS platforms. His career spans Business Process Management, Governance Risk and Compliance, Intelligent Automation, and Generative AI–driven enterprise systems. Dominic currently leads initiatives focused on agentic process orchestration, enabling organizations to automate complex, mission-critical workflows using AI agents, APIs, and low-code platforms. Known for his governance-first and outcome-driven approach, he focuses on helping enterprises scale automation responsibly while delivering measurable business value.🌐 Visit us at: https://www.techdogs.com

In this episode, our host Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Joe Dunleavy, Regional CTO for Europe and Global SVP, Head of Dava.X AI at Endava. With over 20 years of experience across software engineering, startups, and global enterprises, Joe has seen firsthand how technology evolves—and how businesses must adapt.This conversation dives into the world of Agentic AI—what it really means, where it creates real business value, and why so many leaders are still caught between hype and reality. Joe offers practical insights on how industries like healthcare, finance, and insurance can embrace agentic AI to enhance workflows, improve compliance, and boost productivity.What You’ll Learn in This Episode:• Joe’s professional journey: From Microsoft and startups to Prudential, TCS, and now Endava.• Defining Agentic AI: What separates it from traditional AI and why it matters right now.• Dual impact of AI: How it transforms business workflows and accelerates software engineering.• Barriers to adoption: From regulatory concerns to framework confusion, Joe breaks down what’s slowing companies down.• AI hype vs. reality: How leaders can set realistic expectations while still driving innovation.• Leadership in disruption: Why growth mindset, curiosity, and communication matter more than ever.• Building future-ready teams: Psychological safety, recognition, and fostering experimentation.• Personal insights: Joe shares his philosophy on resilience, family, fitness, and enjoying the moment.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy Watch This Episode?If you’re a CTO, CIO, product leader, or someone navigating digital transformation, this episode will give you practical strategies and actionable insights to take your AI journey forward. Joe doesn’t just talk about technology—he connects it to the mindset and leadership skills that make transformation sustainable.About Joe Dunleavy:Joe Dunleavy is the Regional CTO for Europe and Global SVP, Head of Dava.X AI at Endava, where he leads groundbreaking initiatives like the Morpheus agentic AI accelerator. With more than two decades of experience spanning Microsoft, startups, Prudential, and TCS, Joe has built a career at the intersection of software engineering, innovation, and enterprise transformation. Known for his practical approach to AI adoption, he champions the idea of augmentation over automation—helping industries like finance, healthcare, and insurance unlock real business value from emerging technologies. Beyond technology, Joe is passionate about building resilient, future-ready teams, fostering psychological safety, and leading with a growth mindset.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Inside the Smart Factory Shift: Industry 5.0, AI on the Shop Floor, and the Humanoid QuestionWhat does the next decade of manufacturing really look like when factories are designed to be flexible, sustainable, and AI-literate from day one? In this episode, Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Sangeet Kumar (Co-founder & CEO, Addverb) to unpack how Industry 5.0 changes the way factories and warehouses operate, why automation without rigidity is becoming the default, how sustainability is shaping factory design choices, and where humanoids make sense alongside tried-and-tested wheeled robots. If you care about turning AI from pilot projects into production-grade capability, this is your blueprint.We move beyond buzzwords to talk about what actually works on real shop floors: batch size of one, AI-enabled robots that can reason across tasks, and design principles that reconcile efficiency, flexibility, and energy performance. You’ll hear how Indian manufacturers are approaching AI adoption, where POCs stall, and what needs to be true for success stories to scale. You’ll also get a grounded take on humanoids: when legs beat wheels (stairs, uneven terrain, human-scale infrastructure), and where social acceptance, safety, and reliability shape the deployment choices.Why this conversation matters right now• Industry 5.0: The shift from rigid automation to human-centered, adaptable manufacturing is here. Factories are evolving from high-volume sameness to mass customization-while still demanding uptime, throughput, and quality.• Practical AI: Generative and reasoning models are entering the cell-not as shiny demos, but as assistive intelligence for robots, vision systems, and planning tools. The question isn’t “can we automate?” but “can the system adapt with minimal re-teaching?”• Sustainability as a design input: Energy, materials, recyclability, and “no-compromise greenery” are becoming part of the factory design spec-solar, smart building envelopes, and designing around existing trees instead of bulldozing them.• Humanoids vs wheels: Real deployments depend on the terrain, tasks, and environment. Biped and quadruped platforms unlock human-scale spaces and non-standard surfaces. Wheeled AMRs still dominate when the path is predictable.Who should watch:• Manufacturing leaders building a roadmap for Industry 5.0 transitions• Operations & factory design teams balancing flexibility, throughput, and sustainability• Automation and robotics teams evaluating AMRs, co-bots, quadrupeds, and humanoids• Data & AI leaders moving from pilot AI projects to production• Systems integrators & OEMs aligning value propositions to batch size variabilityAbout Sangeet Kumar:Sangeet Kumar is the Co-founder and CEO of Addverb, where he leads AI-enabled robotics and automation for real-world manufacturing and logistics. In this conversation, he explains how Industry 5.0 is pushing factories toward “automation without rigidity,” why flexibility and batch-size-of-one matter, and how perception-driven robots can adapt across tasks on the shop floor. He also shares a practical lens on sustainable factory design-solar, energy-aware layouts, preserving green cover-and gives a grounded view on when humanoids (and quadrupeds) make sense alongside wheeled AMRs in human-scale environments.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Drop your questions in the comments-what’s your biggest barrier to flexible automation or AI on your floor? For partnership or feature requests, connect with us via the channel “About” tab🌐 Visit us at: https://www.techdogs.com

What if AI didn’t just make us faster—but made us better?In this episode of Discover Dialogues, Nikhil Sonawane, Media Relations Lead, sits down with Sapir Hadad, Executive Director of AI Innovation at Fiverr and Forbes 30 Under 30 honouree, who’s redefining how we build technology—with ethics, empathy and impact at the core.What You’ll Learn from this episode:• Sapir’s journey from finance and analytics to founding two AI ventures and then scaling innovation at Fiverr.• Her perspective on “responsible” and “ethical” AI: how to embed these values into products, not just talk about them.• A candid discussion on agentic AI—what’s real and what’s hype in the autonomous systems conversation.• How AI is reshaping the gig economy and why freelancers should view AI as an enabler, not just a threat.• Leadership in the AI era: how empathy, real‑world execution, and human‑centered design are becoming non‑negotiables.Why This Matters:As AI advances faster than many of our institutions, the risk isn’t just technical—it’s human. Sapir makes the case that innovation without empathy is short‑sighted. At Fiverr, she leads the charge on building AI that serves the people behind the work: creators, freelancers, teams—real humans. In this episode you’ll hear how to bridge the hype with substance, how to lead with values in fast‑moving industries, and why curiosity is your strongest asset.Who Should Watch:• Product & AI leaders looking for frameworks beyond algorithmics.• Freelancers and marketplace professionals navigating the shift in work.• Anyone curious about where AI is headed—with a focus on impact, ethics and human potential.• Working parents and leaders balancing ambition with empathy.

🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Sapir Hadad:Sapir Hadad is an entrepreneur, product strategist, and Forbes 30 Under 30 honouree, currently serving as the Executive Director of AI Innovation at Fiverr. With a background in economics and machine learning, she has founded and successfully exited two AI startups—one in no-code financial modelling and another in generative content optimization. At Fiverr, Sapir leads the development of responsible, human-cantered AI solutions that empower freelancers rather than replace them. Her leadership is marked by a unique blend of technical depth, ethical clarity, and empathetic decision-making, making her a standout voice in the evolving conversation around AI, innovation, and the future of work.About Discover Dialogues: Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Join the Conversation:What part of AI innovation resonates most with you? What questions or concerns do you have about AI in your industry or role? Drop your thoughts in the comments below—we read and respond to as many as we can.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

How do you build responsible AI when the tech world is buzzing with hype? Why is “data literacy” not just a skill but a mindset? And what does it take to lead a global organization through the next phase of digital transformation?In this thought-provoking episode of Discover Dialogues, Nikhil Sonawane, Media Relations Lead at TechDogs sits down with Robin Sutara, the Field CDO at Databricks, for a conversation that goes far beyond the buzzwords. With a career spanning the U.S. military, over two decades at Microsoft, and now a leadership role at Databricks, Robin shares how she’s navigating the rapidly shifting intersection of data, ethics, and enterprise innovation.What You’ll Learn in This Episode:• Why “data literacy” is the real foundation for digital transformation• The problem with how companies measure success in data projects• The difference between responsible AI and performative AI ethics• How gender equity plays a role in building inclusive tech cultures• Why leaders need to be better storytellers, not just better strategistsWhether you’re a CDO, CIO, AI strategist, or just navigating your company’s data journey—this episode is packed with tactical advice and hard-earned wisdom.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Robin Sutara:Robin Sutara is the Field CDO at Databricks, where she bridges the gap between cutting-edge technology and real-world business needs. With over two decades of experience in the data and AI space, Robin has worked across industries and continents, helping enterprises unlock the full value of their data ecosystems. Before joining Databricks, she spent a significant part of her career at Microsoft, driving strategic transformations and data innovation initiatives. Robin is known not just for her deep technical acumen but also for her people-first approach to leadership, storytelling, and change management. In this episode, she shares candid insights into building data cultures, the evolving role of the CDO, and how generative AI is reshaping enterprise priorities—delivered with her signature blend of sharp wit and strategic clarity.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Let us know in the comments: What’s the biggest AI challenge your org is facing today?🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Description with TimestampsScaling Responsible AI: From Public Sector Foundations to Enterprise Impact In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge speaks with Heather Dawe, Chief Data Scientist, UK and Head of Responsible AI at UST, about what it truly takes to move AI from experimentation to measurable, trustworthy business outcomes. Drawing on over two decades of experience across government, healthcare, and enterprise environments, Heather offers a grounded, practical view of how AI maturity is built over time, not through hype but through discipline, governance, and people-centric leadership. Heather begins by tracing her journey from a mathematics background into software engineering and large-scale systems at IBM, followed by roles in retail technology and eventually a pivotal shift into government statistics. At a time when “data science” did not yet exist as a formal discipline, she combined statistical modeling with computational systems to solve real-world problems. This foundation became especially significant during her decade-long tenure in the UK’s National Health Service, where she built and led the first data science team in the UK public sector. Her work involved processing millions of rows of sensitive healthcare data to develop risk-adjusted indicators, including hospital mortality metrics, with explainability embedded directly into the models. This early exposure to high-stakes decision-making shaped Heather’s deep commitment to responsible AI. She explains how working with sensitive health data made fairness, transparency, and accuracy non-negotiable, long before ethical AI became a mainstream conversation. These principles now guide her enterprise work at UST, where she helps organizations balance AI innovation with risk management, governance, and long-term trust. The conversation then shifts to a challenge many organizations face today: AI pilots that look impressive but fail to deliver sustained value. Heather emphasizes that AI should never exist for its own sake. Instead, leaders must tie AI initiatives directly to business strategy, define measurable KPIs, and continuously demonstrate return on investment. She explains how value measurement creates a virtuous cycle, enabling organizations to justify further AI investment while avoiding stagnation at the proof-of-concept stage. The episode concludes with personal reflections on leadership, diversity, and advice for the next generation of AI leaders. Heather encourages aspiring data professionals to bring their authentic selves to work, arguing that diversity of thought is essential for innovation and ethical decision-making.Why This Conversation Matters Right Now:• Enterprises are struggling to scale AI beyond pilots • Responsible AI is now a board-level concern • Measuring value is critical to sustained AI investment • Leadership and culture determine AI success as much as technology.Who Should Watch:• CIOs, CTOs, and Chief Data Officers • AI and data science leaders scaling enterprise AI • Business leaders seeking measurable AI ROI • Professionals interested in responsible and ethical AIAbout the Guest:Heather Dawe is Chief Data Scientist, UK and Head of Responsible AI at UST. With over 25 years of experience across government, healthcare, and industry, she is a recognized leader in responsible AI, enterprise data strategy, and ethical technology adoption. Heather has appeared on major media platforms, spoken at global forums on AI ethics, and continues to advocate for diversity in STEM and the responsible use of AI at scale.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Can AI actually reason—or is it just mimicking intelligence?In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing director and Editor in Chief at TechDogs sat down with Dominik Tomicevic, CEO and Co-Founder of Memgraph, a real-time graph database company at the forefront of building explainable, structured AI systems.From his roots in competitive programming to the lightbulb moment that sparked the creation of Memgraph, Dominik walks us through his journey of creating technology that helps machines go beyond predictions and start connecting dots the way humans do. We explore the limitations of black-box AI models, the risks of surface-level intelligence in enterprise environments, and how graph databases can anchor AI tools with real-time, deterministic reasoning.In this episode, you’ll discover:• How graph databases solve the reasoning limitations of LLMs like GPT• Real-world use cases: from cybersecurity mapping to personalized recommendations• A powerful AI evaluation framework for business leaders• Why structured knowledge matters more than ever in the age of generative AI• How graph thinking mimics human cognition and unlocks richer, safer insightsIf you're exploring the next generation of enterprise AI solutions, care about LLM reasoning, or want a smarter approach to real-time data processing, this episode is for you.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter🌐 Visit us at: https://www.techdogs.com

Artificial Intelligence is transforming cybersecurity—but will it ever replace human judgment in the SOC? In this episode of Discover Dialogues, Nikhil sonawane, Media Relations Lead at TechDogs sits down with Chloe Burton, Manager of Detection Engineering at Deepwatch, to explore how AI, automation, and human expertise intersect in modern threat detection.Chloe’s journey into cybersecurity wasn’t a straight line. From starting in psychology to working helpdesk, to becoming a Splunk expert, and finally leading detection engineering at one of the most innovative MDR providers in the industry, her career has been shaped by adaptability, curiosity, and a passion for mentorship.In this conversation, Chloe shares why “human-in-the-loop” thinking is critical in detection engineering. While AI offers speed, scale, and automation, she explains why the human perspective remains irreplaceable—especially when adversaries are using AI to launch increasingly sophisticated attacks.We cover:• Chloe’s unconventional career path from consulting to detection engineering leadership• How AI and automation fit into the detection development lifecycle• Why “robot-on-robot energy” is the new normal in cyber defense• What a healthy detection engineering practice looks like today• How to measure SOC maturity beyond traditional KPIs like MTTX• Shifting from alerts-first to context-first threat detection• The mindset shift security teams must make to stay ahead of adversaries• Chloe’s leadership philosophy: empowerment over micromanagement• Rule #1 for surviving—and thriving—in a cybersecurity career
🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Chloe Burton:Chloe Burton is Manager of Detection Engineering at Deepwatch. She has led detection engineering and SOC transformation projects for global enterprises, developed go-to-market strategies for security solutions, and built high-performance cyber teams. A strong advocate for diversity and mentorship in technology, she is committed to empowering the next generation of cybersecurity professionals.Chloe also discusses her approach to team-building and leadership. She explains how empowerment builds loyalty and how micromanagement stifles innovation. For her, strong detection engineering isn’t just about systems and metrics—it’s about people.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Whether you’re a SOC manager, detection engineer, CISO, or simply curious about the future of AI in security, this episode delivers practical strategies and leadership insights you can apply today.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com