Data+AI Day | Sydney
A Shifting Global Order and Data Execution Under Pressure
Sofitel Darling Harbour, Sydney, Australia
Hosted by Factor
- 20 attendees
- 4 hours
Overview
In an era defined by geopolitical tension, economic volatility, accelerated AI adoption, and tightening regulation, Chief Data Officers are under more pressure than ever to deliver. The global landscape is shifting and with it, the role of data in competitive strategy, national security, and enterprise resilience.
This exclusive event explores how leading CDOs are responding to these intersecting pressures by executing with speed, accountability, and precision. From managing data sovereignty and regulatory fragmentation to operationalising AI at scale, this event will uncover what it takes to lead with clarity and deliver results when the margin for error is shrinking.
What we will cover
- Generative AI Exploring how CDAOs are leveraging generative AI to enhance business operations and align data strategies with organisational goals, ensuring AI adds measurable value.
- Data Governance Examining the crucial role of data governance in building trust within organisations, ensuring data accuracy, and enabling data-driven decision-making.
- Data Efficiency Investigating how data and analytics can drive operational efficiencies, automating processes and improving productivity across the enterprise.
- Competitive Innovation Exploring how CDAOs are using advanced data techniques to innovate, helping their organisations gain a competitive edge in fast-moving markets.
- Data Quality Highlighting strategies for maintaining high data quality, ensuring that accurate, reliable data fuels business decisions and enhances AI capabilities.
- AI Integration Exploring the practical integration of AI and machine learning across business processes, with a focus on delivering real-time insights and improving decision-making.
- Data Privacy Navigating evolving data privacy regulations and ensuring compliance while maintaining robust data protection and ethical AI usage across the organisation.
- Data Monetisation Exploring innovative approaches to turning data into a revenue-generating asset, helping organisations leverage data as a product for business growth.
- Real-Time Analytics Examining technologies that enable real-time data processing and analytics, helping organisations respond faster to market changes and customer needs.
- Data as Product Shifting focus towards treating data as a product, with dedicated governance and management strategies, to enhance its value and usability across the enterprise.
- Data Strategy Ensuring data and analytics strategies are tightly aligned with overall business objectives, driving actionable insights that lead to measurable business outcomes.
- Data-Driven Culture Investigating how to foster a data-driven culture, overcoming resistance to change, and empowering teams to make decisions based on analytics.
Agenda
- Welcome Coffee & Registration(Data+AI Day)
- Welcome Address & Introduction(Data+AI Day)
- The More Things Change, the More They Stay the Same(Data+AI Day) Enabling Australian CDO Influence with C-Level Stakeholders In 2025, the digital landscape is undergoing another major shift. Australian CDOs are expected to interpret the impacts of technology changes, and play a critical role in influencing C-Level stakeholders. All while organisations navigate financial constraints, increased cyber risks, and the rapid rise of AI-driven transformation. Factor’s local research reveals that 61% of Australian CDOs plan to increase digital transformation investment, with 84% of IT investments influenced by AI/ML initiatives. However, challenges persist—budget constraints (32%), integration complexity (28%), and talent shortages (18%) remain major barriers to success. The judicious use of AI as a force multiplier rather than a replacement for human intelligence, can assist in overcoming some of these hurdles. Organisations that embrace AI strategically are expected to see improved cybersecurity, greater operational efficiency and improved competitiveness. Recent AI developments have significantly disrupted the market and will potentially reduce the cost and increase efficiency of AI, however the overall competitive cost of inaction whilst waiting for this to eventuate is rising. Organisations that fail to adapt risk falling behind in an era where technology adoption drives competitive advantage. Discussion Points: What priorities are core to ICT Strategies in 2025? What technologies are influencing overall business and ICT Strategy? What factors are holding CDOs back in the race to avoid stagnation in a landscape where AI adoption is accelerating? What strategies can CDOs adopt to increase C-Level stakeholder influence in their organisation?
- Technology Leadership as a Catalyst for Business Innovation(Data+AI Day) Silvia Pfeiffer is a pioneer in building scalable, real-time digital platforms and translating technical innovation into business value. With over 20 years of experience in web video technologies and leading high-impact technology teams, Silvia has co-founded and scaled platforms that serve millions of users. In this keynote, she shares insights on turning technical expertise into strategic advantage, helping CIOs and CTOs drive innovation and build adaptable, future-ready technology ecosystems. Discussion Points: Translating Technical Expertise into Strategic Advantage: How technology leaders can connect technical innovation to measurable business outcomes. Harnessing Emerging Technologies to Drive Innovation: Approaches for adopting new tools and technologies effectively. Building Adaptable, Future-Ready Technology Ecosystems: Strategies for designing scalable, resilient systems that evolve with business needs.
- The Collective Enterprise: C-Suite Collaboration in the Age of Data, AI, and Global Disruption(Data+AI Day) High-quality data is the cornerstone of effective analytics. This session addresses common data quality challenges and presents best practices for maintaining data integrity, accuracy, and consistency, which are essential for informed decision-making. We will discuss implementing data quality assessment tools, establishing data stewardship roles, and continuous monitoring and improvement of data quality to support reliable insights. Discussion Points: Implementing data quality frameworks and assessment tools to identify and rectify issues. Defining data stewardship roles and responsibilities to maintain data integrity. Establishing processes for continuous data quality monitoring and improvement.
- The Future of Agentic AI is Event-driven(Data+AI Day) Autonomous agents are reshaping enterprise operations, but scaling them isn't just about smarter AI—it's about better infrastructure. Agents need real-time data, seamless tool integration, and shared outputs across systems. Rigid request/response models create bottlenecks, while event-driven architecture (EDA) unlocks the flexibility and scalability agents require by unlocking capabilities like replayability, traceability, and agent decoupling. This session will show how EDA enables autonomous agents to thrive. Key takeaways include: How EDA enables real-time, adaptive agent workflows and multi-agent problem solving. Strategies for leveraging data streaming to handle scalability, fault tolerance, and low latency. Lessons from microservices evolution to solve interoperability and context-sharing challenges. You'll leave with some conceptual tools to design resilient, event-driven agents and future-proof your infrastructure for enterprise-scale AI.
- Networking Break & Morning Tea(Data+AI Day)
- Centralising Analytics to Achieve Strategic Business Goals(Enterprise Insights) Centralise analytics for strategic goals. Discover how integrated solutions drive collaboration and planning for businesses.
- Augmenting Business Intelligence with Intelligent Insights(AI Analytics) Augment BI with intelligent insights. Learn how AI-driven analytics enhance efficiency and reduce decision-making risks.
- Connecting Data for Unified and Future-Ready Organisations(Integrated Planning) Connect data for unified planning. Streamline planning and analytics processes for future-ready organisations.
- Generative AI in Data Operations Practical applications of generative AI to optimise workflows and uncover new opportunities.
- Data Governance in Action Real-world approaches to ensuring trustworthy, accurate, and well-managed data.
- Uncovering Trends with Deep Visual Analytics(Advanced Visualisation) Uncover trends with deeper visuals. Learn how advanced visualisation tools reveal actionable patterns in data.
- Analysing Data at Unparalleled Speed with Agile Architectures(Serverless Scalability) Analyse data at unparalleled speed. Experience the agility of serverless architectures for enterprise analytics. Discussion Points: Benefits of serverless architectures in data analytics Scaling analytics dynamically with demand Cost and performance considerations for serverless environments
- Driving Impact at Every Level by Turning Data into Everyday Intelligence(Data+Al Day - Plenary) Jonathan Cook, Chief Data & Analytics Officer for the Westpac Institutional Bank, is focused on the democratisation of data intelligence, making insights timely, accurate, and accessible across the organisation. As businesses move beyond being simply data-driven, the next evolution is empowering people at every level with the intelligence to act in the moment. This shift accelerates decision-making, enhances both customer and employee experiences, and builds a culture where data is not just consumed but truly drives impact. Discussion Points: From dashboards to decisions: how to make data usable and relevant in the moment, not just reported after the fact. Democratising access: breaking down silos so that employees across functions can confidently use intelligence to improve outcomes. Shaping culture through intelligence: what it takes to shift from a data-driven mindset to a data-intelligent organisation.
- Unlocking AI Value: The Role of Strong Data Foundations(Data+Al Day - Plenary) [Fireside Chat] AI delivers the greatest impact when built on strong, modern data foundations. Ishaan Sharma, GM of Advanced Data and Analytics at CBA, shares insights from their journey to a cloud-first, scalable, and AI-ready data ecosystem. Discover how robust data architecture, reusable data products, and AI-enabled processes drive both operational efficiency and improved customer outcomes. Discussion Points: Building Scalable, Modern Data Ecosystems: From monoliths to shared architectures, lessons in decentralised ownership, domain-driven design, and creating reusable data products. Embedding AI Across the Data Lifecycle: How automation, metadata, and AI-enhanced processes improve efficiency, trust, and decision-making. Driving Business and Customer Value: Real-world examples showing how strong data foundations translate into better outcomes for internal teams and customers alike.
- Building Cross-Functional Teams to Drive Value from Data and AI, Responsibly(Data+Al Day - Plenary) To see return on investment from their Data and AI teams, companies need strong alignment with their customer and business strategy, as well as a way to navigate risk in an environment of increasing regulation around Responsible AI and Data Privacy. Strong collaboration across functions is essential – bringing together Product Managers, Data Scientists, Software and Data Engineers, Legal and Privacy experts, and the right sponsorship from business leaders. Discussion Points: Key roles and responsibilities – What expertise is needed to take AI and data products to market, and how can teams organise to drive collaboration? Sponsorship and strategic alignment – How to set the team up with success by solving the right problem, with the right support from the business? Data Governance, Data Privacy, and Responsible AI - How can organisations integrate legal, ethical, and security considerations into AI development without stifling innovation?
- Networking & Lunch Break(Networking and Lunch Break)
- Mastering AI Agents: The Chief’s Imperative(Dataiku Executive Round Table) The rapid evolution of AI agents presents both transformative opportunities and operational challenges for senior technology leaders. From proof-of-concept to enterprise-grade deployment, organisations must build robust, scalable frameworks that deliver measurable business impact while maintaining governance and control. In this hypercompetitive environment, efficiency, compliance, and integration are top priorities. With many enterprises still struggling with silos, fragmented AI adoption, and inconsistent governance, the imperative is clear: leaders must move beyond experimentation to operational excellence. Dataiku’s platform bridges the gap between innovation and control by offering an end-to-end environment where data, AI, and governance converge. From Visual ML and AutoML for rapid prototyping, to DataOps and MLOps capabilities that unify silos, to robust governance frameworks that support regulatory readiness, Dataiku empowers leaders to scale AI safely and effectively. Join us as Craig Baty, VP Research & Advisory, moderates this exclusive roundtable, where C-level peers will share strategies for delivering enterprise-ready AI agents, aligning innovation with governance, and embedding resilience into AI architectures that can scale without compromise. Discussion Topics: From Pilot to Performance - how top tech leaders are delivering enterprise-ready AI agents that drive measurable business outcomes Blueprints for Scale - how to embed resilient agentic architecture without disrupting existing infrastructure Governance in Motion - how to stay in control as AI agents grow more autonomous Scaling with Sanity - maximise AI impact without blowing budgets, compromising compliance, or introducing tech debt What You'll Gain: Strategies for moving from AI agent pilots to enterprise-wide deployment Practical blueprints for embedding resilient agentic architectures Insights on balancing AI innovation with compliance, cost control, and risk management Peer perspectives on breaking down silos and accelerating AI adoption
- Accelerating Business Workflows with Intelligent Automation(AI-Driven Automation) Where AI meets process: boosting speed, accuracy, and decision-making through automation of repetitive tasks.
- Synthetic Data for AI Training and Privacy Compliance How teams are using synthetic data to overcome data scarcity, enhance model training, and meet data privacy needs.
- Operationalising AI Ethics and Risk Management(Responsible AI) Turning principles into practice: aligning AI initiatives with regulatory, reputational, and social risk frameworks.
- Driving Enterprise-Wide AI Adoption(AI Adoption & Culture) Overcoming organisational resistance, skill gaps, and mindset barriers to embed AI into everyday operations.
- Activating Real-Time Data for Faster Business Outcomes Designing streaming architectures that enable just-in-time insights and immediate response capabilities.
- Creating Reusable Data Products for Scalable Value Structuring, governing, and distributing data as a product to improve usability, ownership, and business alignment.
- Generative AI’s Transition from Cutting-Edge Toy to Critical Tool(Data+AI Day) Generative AI promises to revolutionise industries, but how are businesses making it work? Delve into real-world success stories and hard lessons learned. Discussion Points: Is generative AI overhyped or underutilised in business? How to ensure generative AI aligns with your strategic goals Navigating the risks of over-reliance on machine creativity
- AI for Impact: Driving Sustainability and Efficiency(Data+AI Day) Ashish Khurana, Chief Data and AI Officer at Transurban, shares how AI is delivering measurable environmental and operational outcomes. From reducing carbon emissions and energy costs to optimising customer and employee experiences, discover how AI can simultaneously drive sustainability, efficiency, and enterprise value. Discussion Points: AI-Enabled Sustainability: Practical examples of carbon reduction and energy optimisation in critical infrastructure. Operational Efficiency at Scale: Automating complex systems to improve performance and cost-effectiveness. Measuring Impact and Value: Quantifying ESG and business benefits and communicating results to executives.
- Balancing Innovation While Navigating Compliance, Privacy, AI, and Customer Trust(Data+AI Day) This panel unpacks the four critical pillars organisations must manage to innovate successfully today. Each leader will bring their expertise on these key areas—regulatory compliance, data privacy, operationalising AI, and building customer trust—to offer practical strategies and real-world examples. Together, they’ll explore how to push boundaries responsibly while maintaining trust and meeting evolving demands. Discussion Points: Strategies to foster innovation without losing sight of compliance and privacy requirements Building governance frameworks that enable both agility and accountability How to maintain and build customer trust when deploying AI-driven solutions Managing operational challenges and costs of AI at scale while ensuring ethical use Real-world examples of balancing cutting-edge technology with regulation and trust
- Factor Closing Remarks(Data+AI Day)
- Networking Drinks & End of Day(Data+AI Day)
Speakers
Dr. Silvia Pfeiffer GAICD · Co-Founder & Chief : Executive Officer Computer Scientist, Coviu Global Dr. Silvia Pfeiffer is a computer scientist and the CEO and Co-Founder of Coviu, a pioneering telehealth platform that has transformed digital healthcare delivery. With over two decades of experience in web video technologies, she has contributed to foundational standards that power platforms like YouTube and Netflix. Her career spans roles at Google, Mozilla, NICTA, and CSIRO, where she co-founded Coviu as a spinout, addressing the need for secure and scalable video consultations in healthcare. Under her leadership, Coviu has become a global leader in virtual care, facilitating millions of consultations worldwide.Dr. Pfeiffer holds a PhD in Computer Science and a Master's in Business Management, and has authored several books on HTML5 video and video consultations. She is a recognised advocate for diversity in tech and has been honoured with awards such as the 2020 Women in Digital Founder of the Year.
Jonathan Cook · Chief : Data & Analytics Officer, Westpac Jonathan Cook, Chief Data & Analytics Officer for the Westpac Institutional bank, is passionate about enabling data driven decision-making and has spent his career helping organisations navigate complex data & technology transformation agendas. A change advocate, promoting simplification of data ecosystems, uplifting people & capabilities, and championing modern data practices to nurture enduring data culture.
Catherine Arnold · Chief : Data Services, SEEK Catherine Arnold is the Director of AI Product at SEEK, where she leads the development and integration of artificial intelligence solutions that power one of Australia’s largest employment marketplaces. With extensive experience at the intersection of product strategy and machine learning, Catherine plays a key role in shaping SEEK’s AI roadmap to enhance user experience and deliver business value. She is passionate about responsible AI innovation and leveraging data to drive better outcomes for job seekers and employers alike.
Mike Shimerda · General Manager : Technology and Data Strategy, ASX Mike Shimerda brings over 20 years of global experience driving growth and strategic data initiatives across North America, Asia, and Europe within corporate and financial services sectors. Currently leading Technology and Data Strategy at ASX, Mike is recognised for his expertise in alternative data, commercialising first-party data assets, and developing innovative data-driven business models. His prior roles include leading global alternative data acquisition at Bloomberg and spearheading data strategy at 7Park Data. Mike is known for unlocking commercial value from complex data environments and delivering strong market expansion and revenue growth.
Ishaan Sharma · General Manager : Advanced Analytics and Data, Commonwealth Bank Ishaan Sharma is a seasoned data analytics leader with extensive experience driving business performance through advanced data strategy, decisioning, and insights. At CBA, he leads high-performing teams across data engineering, governance, visualisation, business intelligence, and analytics to deliver data-driven solutions that align with strategic business goals. Known for his consultative approach and strong relationship-building skills, Ishaan excels at integrating complex data ecosystems to unlock value and support competitive advantage in fast-paced environments.
Melissa Irwin · Chief : Data, People and Sustainability Officer, Endeavour Energy (NSW) Melissa Irwin is a commercially astute executive leader with extensive experience in human resource leadership, industrial relations, organisational development, and change management. She is passionate about driving large-scale business transformations that enhance both organisational performance and employee engagement. Melissa’s expertise spans strategic and operational HR management, talent and succession planning, industrial relations, remuneration strategy, and leadership development, enabling organisations to achieve sustainable growth and change.
Ben Pattison · Chief : Data & Analytics Officer, Flight Centre Travel Group Ben has Over 25 years experience, in the UK and Australia, as a data, analytical and strategic leader, passionate about driving business and customer value from data, insights and analytics. Ben is an experienced executive leader in end to end data and analytics, including data engineering, governance, insights, analytics, machine learning and AI. Consistently successful in designing and integrating Data Science, Decision Services, Analytical Marketing and Risk solutions. Across Retail, Business, Consumer Finance, Insurance, Wealth, Logistics and Manufacturing sectors.
Ashish Khurana · Chief : Data and AI Officer, Transurban Australia Ashish Khurana is a visionary senior technology executive at Transurban, known for leading large-scale transformation programs that modernise technology and reimagine operating models. With deep expertise across financial services—including retail banking, wealth management, capital markets, and insurance—Ashish brings a strategic lens to driving innovation, agile delivery, and scalable growth. He is an experienced change leader, skilled in navigating complex cross-functional initiatives that require organisational redesign, business process re-engineering, and end-to-end technology uplift. Ashish is also a passionate people leader, recognised for building high-performing, globally diverse teams and fostering a culture of continuous learning and improvement. With a strong grasp of stakeholder engagement and consultative communication, Ashish is adept at bridging business and technology—translating technical complexity into strategic value for C-suite leaders and board members.
Pooyan Asgari · Chief : Data Officer, Domain Pooyan Asgari is the Chief Data Officer at Domain Group, where he leads the strategic use of data science, machine learning, and advanced analytics to drive customer-centric innovation. With a Ph.D. in data science and deep expertise in natural language processing and big data platforms, Pooyan has built and scaled enterprise data assets—including single customer views—for some of Australia’s largest consumer-facing organisations. Passionate about turning complex data into actionable insight, he is known for building high-performing, agile teams that solve tough data challenges while delivering real business impact.
Jackie Montado · Chief : Digital and Technology Officer, Wesfarmers Jackie is an experienced and strategic Chief Digital & Technology Officer of large complex organisations across FMCG, Pharmaceuticals, Distribution B2B, Energy industries and consulting. She has a track record of successfully leading transformations through business model changes, value-adding digital programs and complex M&A integration, innovation, start-ups and divestment programs. She is a courageous leader displaying strong executive presence and is skilled at building strategic business partnerships at Board and C-suite level through her highly collaborative and effective influencing style.
Sanja Marais · Chief : Technology and Security Officer (CTSO), ASPEN MEDICAL Sanja Marais is a seasoned technology and innovation leader with over 15 years of experience in Australia’s health sector. As Chief Technology and Security Officer at Aspen Medical, she drives digital transformation, cybersecurity, and strategic IT alignment across global operations. Sanja has led the development of a market-ready health tech start-up, overseen IRAP, GDPR, and ISO 27001 certifications, and elevated technology visibility at the executive and board levels. Known for her integrated approach to innovation, compliance, and stakeholder engagement, Sanja is a trusted voice on tech-driven healthcare evolution.
Milica Ng · Senior Director : Global Head of Data Science, CSL Milica is an innovative, strategic leader focusing on emerging technologies. She has a deep expertise in AI, data science, and biotechnology. Her ability to guide organisations and teams through the complexities of fast-evolving data and digital landscapes has been developed through a broad international experience in defence, utilities, management consulting, retail entrepreneurship, and pharma across four continents. Milica holds a PhD from the Medical Faculty at The University of Melbourne and has completed a Master's in Engineering at the University of Adelaide.
Andrew Sellers · Vice President : Technology, Confluent Dr. Andrew Sellers leads Confluent's Technology Strategy Group, a team of research technologists, Field CTOs, and customer advisory leaders supporting product and GTM strategy development, competitive analysis, and thought leadership. Andrew has previously brought several AI-enabled commercial offerings to market as a technology leader, applying data streaming extensively to ensure application data is well contextualized and current. Data streaming commercial products he designed, built, and delivered have generated tens of millions in revenue. He is an author of dozens of peer-reviewed publications and a co-inventor listed on over 100 patents, primarily related to the application of AI tools to problems in cybersecurity and risk management. Andrew received his PhD in computer science from the University of Oxford, where his dissertation investigated the use of AI to automate web-scale data extraction. He was the valedictorian of his class at the U.S. Air Force Academy and a Truman Scholar.
Craig Baty · Vice President : Research & Advisory, Factor With over 30 years of C-level experience in ICT, HR, marketing, sales, operations, research, leadership, and international business, Craig is a notable tech industry leader.
Shelley Rigg · Executive Producer, Factor Shelley Rigg is Executive Producer, Research & Content at Factor, where she draws on over two decades of experience producing commercially driven campaigns, broadcast content, and executive events for some of the world’s leading brands. An award-winning producer and BAFTA recipient, Shelley has overseen more than 30 primetime shows in the UK and US, led strategic campaigns for Netflix, BBC, Amazon Prime, Rio Tinto, and Optus, and executive produced major live events, including Optus’s award-winning coverage of the FIFA Women’s World Cup 2023. At Factor, she brings her expertise as a talk show host, moderator, and content strategist, supporting broadcast, editorial, and e-learning initiatives while shaping engaging conversations with senior leaders across industries.
Partners
Confluent · Platinum Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io
Dataiku · Gold Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies. Customers like Unilever, GE, and Comcast use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.
Alation · Bronze Alation is the leader in enterprise data intelligence solutions including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 330 enterprises drive data culture, improve decision making, and realize business outcomes with Alation including AbbVie, American Family Insurance, Cisco, Exelon, Fifth Third Bank, Finnair, Munich Re, NASDAQ, New Balance, Parexel, Pfizer, US Foods, and Vistaprint. Headquartered in Silicon Valley, Alation was named to Inc. Magazine’s Best Workplaces list and is backed by leading venture capitalists including Blackstone, Costanoa, Data Collective, Dell Technologies, Icon, ISAI Cap, Riverwood, Salesforce, Sanabil, Sapphire, and Snowflake Ventures. For more information, visit alation.com.- Intelligent Pathways · Bronze
Impetus · Bronze- BMC Software · Bronze From core to cloud to edge, BMC continues to build on a 40-year heritage of shaping digital transformation for organizations around the world. We deliver the software and services innovations that help over 10,000 global customers, including 84% of the Forbes Global 100, thrive in their ongoing evolution to an Autonomous Digital Enterprise—a state in which intelligent, integrated, value-creating functions operate with minimal human involvement across every facet of the organization and its ecosystem. We are proud to have earned recognition as an ITSM Gartner Magic Quadrant Leader for seven years running, as well as being named overall leader in the EMA Radar Report for Workload Automation for five years in a row and top of the charts in EMA’s recent AIOps Radar report. Our future-focused portfolio helps drive business success with AI-enabled solutions for automation, optimization, performance, security, and service management, covering everything from mainframe to multi-cloud. BMC’s open, scalable, modular technologies help ensure that our customers can run and reinvent their businesses for growth and competitive edge while optimizing cost, performance, and security. For more information about BMC, please visit www.bmc.com.
- Factor Leading market research in APAC.
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