Name: The Impact of AI on the CIO Career
Start: 2025-03-05T13:00:00Z
End: 2025-03-05T13:00:44.000Z
Location: BrightTALK
Rating: 5

Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource. 

Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.

Architectural innovation has become essential for organizations seeking to balance decentralization with control, or struggle for real-time insights while maintaining robust data governance and compliance.

This session presented by industry thought leader Donald Farmer covers practical strategies for reducing vendor lock-in, optimizing cloud and on-premises workloads, and ensuring data quality at scale, all while leveraging AI to automate and enhance governance.

Attendees will discover how forward-thinking enterprises are reimagining their data architectures to maximize agility, trust, and business impact.

Architectural Innovation for Insight and Governance at Scale

Learn what it really takes to make substantive AI progress. Tune into this talk to learn the seven tenets of enterprise transformation in the AI era which underscore both the current data situation of many companies and how to leverage this technology for the best results. 

1. Despite the long-standing hype, AI currently only includes natural language processing, not understanding. 
2. To make the best use of the AI, enterprises must build a modern knowledge foundation, i.e., data that’s logically connected, contextualized and extensible with the help of shared, interlinked, symbiotic graph data models. 
3. Organizations can’t be data mature if they’re not in data sharing mode whenever possible or pushing the data sharing envelope. Holding onto data doesn’t make sense if you’re not sharing with the partners who need what that data can provide. 
4. Transformation doesn’t matter if you’re not providing enterprise-wide and even boundary-crossing transparency in the process.
5. It doesn’t make sense to buy “AI products” without having the ability first to feed the AI the best, high quality, relevant, disambiguated data relevant to your business. 
6. Most of the AI software providers out there aren’t focused on helping you solve your data problems.
7. Most enterprises have huge, unresolved data problems. Therefore, most enterprises won’t benefit all that much from AI until they move up the data lifecycle management learning curve.

This talk will explore what effective transformation looks like in the age of AI and provide best practice guidance from organizations in leading industries.

About the Speaker
Alan Morrison is an independent consultant and freelance writer on data tech and enterprise transformation. He has a contributor to Data Science Central and TechTarget with over 35 years of experience as an analyst, researcher, writer, editor and technology trends forecaster, including 20 years in emerging tech R&D at PwC.

7 Tenets of Data and Enterprise Transformation in the AI Era

Digitalization and artificial intelligence (AI) are revolutionizing the process industry by capturing and leveraging tacit knowledge -- insights and expertise that are often unspoken and deeply embedded in the workforce. Through advanced data analytics, machine learning, and AI-driven decision support systems, manufacturers can now extract and codify this implicit knowledge. 

What You Will Discover in this Session:
1. Capturing Tacit Knowledge: Learn how AI can capture and codify tacit knowledge from experienced workers using AI tools, ensuring valuable expertise is retained and utilized.
2. Optimizing Operations: Discover how AI can optimize various aspects of operations, such as predictive maintenance, process optimization, and real-time monitoring, leading to increased efficiency and reduced disruptions and downtime.
3. Case Studies and Best Practices: Study real-world examples and best practices from leading companies that have successfully implemented AI and digitalization strategies.

This workshop, presented by CEO Andreas Eschbach will equip you with the knowledge to leverage digitalization and AI for improving efficiency and competitiveness in the process industry.

Unlocking Human Knowledge: Harnessing AI and Digitalization in the Process Industry

Web application environments are more complex than ever. Many span multiple clouds, often include containers, are connected via APIs, and delivered via CDNs. While exploits against known vulnerabilities remain common, advanced campaigns use a variety of tactics to compromise web applications. An abundance of tools claiming to address these challenges has left many security teams unclear as to where to focus their attention. On top of this, security teams are worried about how to address increased usage of genAI in development, and attacks that leverage AI. Join John Grady and Melinda Marks as they discuss recent research on the application protection market and modern application security to help security teams solve the challenges they face.

Trends in Application Security and Increasing AI Adoption

Generative AI (GenAI) could contribute $2.6 trillion to $4.4 trillion annually to the global economy according to consulting firm McKinsey, but achieving business goals requires using GenAI in a trustworthy and secure manner. As enterprise business units pour resources to drive innovation, security teams need to avoid compliance violations and data loss. Security for GenAI is a many-layered cake requiring security teams to consider everything from the (sensitive) data informing the model to prompt responses that might result in (sensitive) data exfiltration. Join Todd Thiemann as he discusses recent research on data resilience and data loss prevention in the context of GenAI.

Data Security & GenAI Infrastructure: Facilitating Innovation While Avoiding Compromises

The introduction of AI has created an imperative for the transformation of virtually every business system. This means every aspect of apps and infrastructure are in transition, leaving security pros to react to a massively changing attack surface. How will security teams respond? Where are security leaders focusing first? How will security strategies need to change to respond to this critical transformation? Join Dave Gruber, Principal Analyst, Enterprise Strategy Group as he shares a fresh industry perspective and data from his recent research on this topic.

AI-led Security Operations Strategies: Are You Keeping Up?

Cybersecurity has traditionally focused on identifying, analyzing, and mitigating vulnerabilities. However, as attackers evolve, including utilizing AI, the world of vulnerability management must undergo a massive transformation. This presentation will explore how AI-powered systems can reshape each facet of cyber risk and vulnerability management, improving both defensive capabilities and hacker tactics. This webinar will teach you the innovations driving this new approach, the emerging threats resulting from AI-enhanced attacks, and the future of risk management in an AI-driven world.

The Future of Security Risk - Security Vulnerabilities in the AI Era

As AI technologies rapidly transform enterprise operations, we're witnessing an unprecedented shift in workforce dynamics. Gen Z and Alpha generations are entering a workplace where AI isn't just a tool but a fundamental business driver, requiring a complex blend of technical prowess, adaptability, and ethical decision-making capabilities. While these digital natives possess an intuitive understanding of technology, the challenge lies in channeling this affinity into meaningful business value and innovation.

The stakes are higher than ever for CIOs and technology leaders. Unlike previous technological transitions, AI's impact on workforce development demands a complete reimagining of talent strategies. Organizations must move beyond traditional technical training to foster a unique combination of AI literacy, human-centric skills, and ethical judgment. This requires a transformative approach to talent development that bridges the gap between native digital fluency and the strategic capabilities needed to drive AI-powered innovation and value creation.

In this session, Giles Lindsay (Chief Information Technology Officer, Lif3away Inc.) provides a practical roadmap for CIOs to build and nurture a future-ready workforce that can thrive in an AI-augmented business landscape.

Key Takeaways
- Transform digital natives into strategic AI leaders, combining technical proficiency with business acumen and ethical decision-making capabilities.
- Create effective learning frameworks that balance AI literacy with distinctly human skills like creativity, emotional intelligence, and critical thinking.
- Implement practical approaches for continuous skill development and adaptation, ensuring your workforce remains relevant and innovative in a rapidly evolving AI landscape.
- Integrate ethical considerations and bias awareness into AI talent development, building teams that can responsibly drive AI adoption while maintaining transparency and fairness.

From AI Users to AI Leaders: Cultivating Next-Gen Digital Talent

Organizations across industries are adopting AI to boost efficiency, reduce costs, and enhance user experiences in IT service and support. In this webcast, Jeff Rumburg, Managing Partner at MetricNet, will present detailed case studies and benchmarking data that illustrates how AI solutions have delivered measurable improvements—including reduced resolution times, lower operating costs, and higher customer satisfaction. 

Attendees Will Learn: 
- Insights from real-world AI adoption case studies. 
- Strategies and challenges in implementing AI solutions. 
- Proven ROI, cost, quality, and cycle time benefits of AI

AI in Action: Real-World Transformations in IT Service and Support

GenAI is the shiny new object that has executives and techies salivating. Companies have launched thousands of GenAI prototypes, of which only a small fraction have made it into production. The reason? Data deadweight. 

A GenAI model is only as good as its data. Garbage in, garbage out. But given how eloquent GenAI can string together words and/or images, many unsuspecting users may not recognize errors, distortions, and downright hallucinations. 

This session will outline the data risks of GenAI and provide guidelines for how to address them. It will address data bias, data freshness, data access, and data accuracy--among other things--and describe governance techniques, architectural patterns, and tooling that can bolster data inputs and minimize the risks of GenAI to business organizations.

Data Deadweight: How to Overcome Your GenAI Handicap

This session will explore practical applications of AI and machine learning in driving efficiency, improving decision-making, and creating competitive advantages. Attendees will gain insights into real-world case studies, learn how to overcome implementation challenges, and discover strategies to integrate AI into existing business processes effectively.

Key Takeaways:
1. How to identify business processes that can benefit most from AI and machine learning.
2. Strategies to successfully implement AI while addressing common challenges.
3. Lessons learned from real-world applications to accelerate adoption in your organization.
4. Best practices for integrating AI into existing workflows to maximize value.

Transforming Business Operations with AI and Machine Learning

Advanced analytics capabilities like deep learning and NLP have unprecedented potential for business impact -- but only with the right foundation. This session from industry thought leader Donald Farmer will demonstrate how structured governance and model management practices create a "safety net" that empowers data teams to push technical boundaries. 

Through real-world examples of predictive modeling and NLP implementations, learn how leading organizations use robust model lifecycle management, ethical AI frameworks, and systematic testing approaches to accelerate rather than inhibit innovation. 

We will cover some important practical techniques for establishing governance that enables rather than constrains, helping analytics teams confidently explore cutting-edge approaches while maintaining reliability and trust.

Breaking Free Through Boundaries: How Robust Governance of Advanced Analytics Drives Innovation

Data is more than numbers; it tells stories. This webinar explores innovative techniques to humanize data by identifying underlying narratives. Discover how to interpret datasets as storylines, extract characters from data, and organize them into a plot. Perfect for data scientists, analysts, and storytellers, this webinar bridges the gap between technical analysis and creative art, empowering you to craft compelling, data-driven narratives that resonate with diverse audiences and objectives.

Beyond Data Analysis: Extracting Characters and a Plot From Data

Join our fireside chat-style discussion to understand:
- Reimagined analytics and business intelligence, enabled by AI
- Strategy and tactics to redesign analytics – driving strategy and operations through metrics and measures
- What must be true for AI to bring insights to market faster

During our conversation we will probe value levers, technical considerations, and broader aspects of the analytics operating model to achieve the return on AI investments in analytics and business intelligence.

The AI Advantage: Bringing Insights to Market Faster

Organizations are confronted with evolving database requirements crucial for harnessing AI's full potential, including generative AI. And customers are recognizing the powerful potential of building using their own enterprise data. As AI technologies advance, traditional databases often fall short in addressing the demands associated with AI to handle scalability, flexibility, and real-time data processing that can help extract the most valuable data insights that drive the businesses forward. 

In this talk, Steve Catanzano will explore how AI has forced the reshaping of data management constructs like mission-critical databases, and the desire to apply new tools such as Vector and RAG to build a trusted foundation needed to create new solutions driven by data and AI.

Rethinking Database Requirements in the Age of AI

Generative AI promises to make customer service staff, including contact center agents, more productive, creative, and less likely to quit. Contact centers, as a particular arena of customer service, employ millions around the world but has a notoriously high turnover rate. It follows then that companies and other organizations face an ongoing challenge of recruiting, developing, and retaining customer service employees. Research shows an overwhelming majority of organizations believe generative AI tools have the potential to improve customer service operations, and most customer service workers remain positive, if not extremely positive, about the usage of AI. 

Join Brian McKenna to find out how organizations can raise the strategic level of their customer service and experience programs, how they need to intensify their focus on the critical area of customer data security, and how they can harness AI, generative and traditional, to better achieve these business goals.

The Impact of GenAI on the Evolution of Customer Service Technologies

Understanding and applying generative AI requires a deep technical knowledge base, and many organizations struggle to keep pace with the dynamic market. Which model is best for our use case? How can we incorporate our own data? How can we get started with responsible AI? Moreover, implementing and scaling GenAI solutions demands substantial computational resources and robust IT infrastructure. These factors coupled with the need to comply with data privacy regulations and AI ethics norms are creating a troubling scenario for organizations that want to leverage this powerful technology but need help getting started and eventually scaling its use within the business. 

Knowing many organizations rely on partners to bridge skill gaps and navigate the intricacies of GenAI development, join Mike Leone as he highlights his latest research study on the growing partner ecosystem and its crucial role in supporting GenAI, especially as organizations rapidly ramp up initiatives.

Navigating the Generative AI Partner and Alliance Landscape

Getting ROI From Monitoring the Dark Web

Architecting Enterprise AI Excellence: Leading with Innovation, Talent and Governance

Operationalizing GenAI: From Pilot to Enterprise-Wide Value Creation

The Future of IT Support: Trends and Predictions for 2025

Autonomous and Intelligent Data Management for the AI Era

Navigating the Future of IT Management & Innovation

Scenes from an AI Revolution: Learn How Enterprise AI Pacesetters Create Value

Elevate IT Efficiency: Delivering Seamless Endpoint Management

Ethical Innovation: Navigating the Boundaries of Technological Progress

Hacking & Securing AI Systems: Playing with Fire and Controlling the Flare of AI

CIO Summit

As AI investments surge across large enterprises everywhere, CIOs are facing a new spin on familiar challenges. The rise of "FOMO AI" (Fear of Missing Out on AI) is driving a renewed focus on issues like business engagement, board influence, team development, and change management. 

Despite these challenges, the wave of technological advancement also presents new career opportunities for CIOs at both the executive management and board levels. CEOs are adding new technology officer positions to their executive committees, and boards are eager for technology representation. 

In this session, Martha Heller, CEO of tech executive search firm Heller, discusses the future of the CIO career and shares unique insights on how to leverage AI to achieve both business and career success.  

Topics for discussion include: 
- How CIOs are educating their boards about AI value
- New technology executive roles on the executive committee
- Evolving career paths for CIOs.
- Levering AI leadership needs for Board Director positions.
- And more.

Meet the Speaker
Martha Heller is CEO of Heller, an executive search firm specializing in technology leadership roles. She has placed hundreds of senior technology executives throughout her career. Martha has authored two books on IT leadership - The CIO Paradox: Battling the Contradictions of IT Leadership and Be the Business: CIOs in the New Era of IT – and is a contributor to CIO.com. Her e-newsletter, The Heller Report, has become a must-read for the industry.

The Impact of AI on the CIO Career

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The Impact of AI on the CIO Career

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