Name: Data Privacy and the Future of AI: Balancing Innovation and Compliance
Start: 2023-12-05T11:00:00Z
End: 2023-12-05T11:00:47.000Z
Location: BrightTALK
Rating: 3.7

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.

In a world where AI, automation, and digital systems are advancing faster than most organizations can keep pace, the real differentiator isn’t the technology itself, it’s the culture behind it. Innovation cannot thrive in environments where teams are overwhelmed, siloed, or unclear about how to adapt. In this session, Theo Harvey reveals how leaders can build a foundation for continuous innovation, enabling teams to navigate uncertainty with confidence and creativity.

Drawing from his two decades as a senior engineering leader at Cisco and his current work as CEO & Co-Founder of SynsorMed—a Google-backed digital health company—Theo shares practical frameworks for cultivating accountability, adaptability, and human-centered innovation. Attendees will learn how to shift from reactive problem-solving to proactive idea generation, fostering a culture where creativity is an everyday practice rather than a special event.

Whether your organization is scaling AI adoption, modernizing information systems, or leading large-scale transformation, this session provides actionable strategies for aligning people, processes, and technology. The result: teams that are more engaged, more empowered, and more equipped to turn complexity into opportunity.

Attendees will learn:
- How to build a culture where innovation is habitual, not hierarchical.
- The connection between accountability, adaptability, and creativity.
- Frameworks for driving progress amid uncertainty and rapid technological change.
- How to inspire teams to turn ideas into implementation with speed and clarity.

Innovation Starts With You: Building a Culture of Creativity in the Age of AI

Healthcare organizations are generating more data than ever before, yet meaningful insights remain out of reach due to siloed systems and fragmented infrastructures. In this session, Anita Nayak, Founder and CEO of ClinDCast, explores how interoperability is transforming healthcare analytics from reactive reporting to real-time intelligence. She’ll reveal how breaking down data silos across EHRs, labs, and payer systems can dramatically enhance decision-making, predictive accuracy, and patient outcomes.

Through real-world examples, Anita will share how ClinDCast has helped healthcare networks unify disparate data sources using HL7 FHIR, API orchestration, and master data mapping frameworks. Attendees will gain a practical understanding of how integrated data models reduce manual reporting, strengthen clinical insights, and enable proactive care delivery.

Participants will leave with actionable strategies to:
- Build interoperable data architectures that scale analytics.
- Overcome technical and organizational barriers to data integration.
- Champion a culture of data ethics, integrity, and shared accountability.

Join this session to learn how interoperability is not just a technical goal—but a strategic pathway to better care, smarter operations, and a truly connected healthcare ecosystem.

Bridging Data Silos: How Interoperability is Shaping the Future of Healthcare Analytics

In the world of business analytics, technical accuracy does not equate business impact. Without the trust of leadership, even the most sophisticated analytics models fail to translate data into action. Data managers must recognize the critical gap is not in the data, but in the narrative they present. 

In this session, Google’s Jiaxi Zhu will introduce a four-part, narrative-driven analytics framework for bridging the divide between analytics and real-world business outcomes. 

Through in-depth examples, he will demonstrate how to:
- Design analytics models with action in mind.
- Frame outputs in a decision-ready context. 
- Shape complex insights into coherent, compelling stories that drive action.

From Insights to Impact: Building Narrative-Enabled Analytics to Drive Executive Decision-Making

By 2026, most organizations aren’t struggling with a lack of data — they’re struggling with turning that data into something leaders can actually use. The gap between “collecting data” and “making decisions with it” has never been wider. This session will help you to close that gap.

Tune into this webinar from CEO and industry thought leader Eugina Jordan to learn:
- What’s changing in 2026: the rise of governed AI access, unified metadata layers, predictive correlation engines, and analytics workflows that run continuously instead of once a quarter.
- A clear, step-by-step architecture for building analytics that scale — from data ingestion and quality controls to semantic layers and real-time operational dashboards.
- How to govern AI and analytics together, so insight generation doesn’t outpace your security or compliance posture. RBAC/ABAC integration, auditability, data lineage requirements, and context-aware access policies. 
- How to enable self-service analytics while protecting quality and preventing shadow AI or shadow dashboards.
- How to prove ROI, with simple ways to tie analytics outcomes to operational efficiency, revenue lift, or risk reduction.
- Case studies showing how companies reduced insight lag, increased forecast accuracy, and improved decision velocity by fixing just a few critical parts of their data pipeline.

If you want a session that gives you frameworks you can implement immediately, this is it. You’ll leave with a checklist, a reference architecture, and actionable steps to build a data organization that finally produces insights leaders trust — and use.

2026 Data Insights Playbook: How to Build It, Govern It, and Prove ROI

Organizations are investing more in data than ever, yet many still struggle to translate those assets into clear, actionable insights. In this session, industry thought leader Farid Sheikhi will explore practical strategies to eliminate data chaos, strengthen governance, and build an insights-driven enterprise equipped for 2026 and beyond.

Attendees will learn:
- How to eliminate data chaos by strengthening governance, definitions, and data visibility across the enterprise.
- A practical blueprint for becoming an insights-driven organization, including the maturity stages that matter in 2026.
- How to operationalize analytics and GenAI so insights move beyond dashboards and drive real decision-making.
- Actionable strategies to convert data investments into measurable business impact, including culture, process, and technology enablers.

From Data Chaos to Clarity: Building an Insights-Driven Enterprise in 2026

The customer journey doesn't live in one department. It stretches across marketing, sales, finance, and support — and along the way, manual processes, disconnected tools, and slow handoffs create gaps that frustrate customers and weaken business performance. From invoices that go unpaid, to limited visibility into cash flow, to rising churn, enterprises are feeling the impact of these disconnects in tangible ways that affect the bottom line.

This session cuts through the GenAI hype to focus on practical, safe, and measurable implementation across end-to-end customer process flows. You'll discover methodologies for identifying which problems are worth solving first, how to integrate manual and digital steps into one intelligent workflow, and where human oversight remains essential to prevent costly mistakes. We'll also dig into real-world strategies for managing GenAI's inaccuracies — ensuring invoices are correct, forecasts are reliable, and customer interactions build trust instead of risk.

Join Eugina Jordan, CEO and Co-Founder, YOUnifiedAI, as she reveals proven approaches to GenAI implementation that deliver measurable business outcomes across critical enterprise functions.

- Identify high-ROI opportunities for GenAI implementation across three critical workflows: invoicing, cash flow management, and customer retention
- Implement effective human-in-the-loop protocols that mitigate GenAI hallucinations while maximizing automation benefits
- Design cross-functional workflows that eliminate departmental silos and create seamless customer experiences
- Develop practical metrics to measure GenAI's impact on revenue acceleration, operational efficiency, and customer satisfaction
- Apply a strategic framework for scaling successful GenAI implementations across your organization

Transforming the Customer Journey with GenAI Across the Enterprise

Support teams are at a critical inflection point, with GenAI reshaping customer expectations overnight. While automation promises efficiency, it often creates impersonal experiences that damage loyalty. The most successful organizations are discovering that GenAI's true power lies not in replacing human interactions, but in strategically enhancing them at every touchpoint.

Generative AI offers transformative potential for support experiences, but only when implemented with a human-centered approach. This session defines GenAI specifically within the support context and explores practical applications that benefit both end-users and support agents. You'll discover how intelligent automation can scale operations while simultaneously improving satisfaction metrics across your support ecosystem.

Join Phyllis Drucker (Influencer, EZ2BGR8 Service Management) to explore proven frameworks for implementing GenAI solutions that put people first while driving measurable business outcomes.

Key Takeaways:

- Find the right balance between scaling support operations and maintaining customer satisfaction
- Implement GenAI-powered chatbots that deliver near-human experiences through contextual understanding
- Create customized, tailored responses that increase satisfaction and engagement 
- Establish measurement systems that quantify GenAI's impact and inform future initiatives
Develop a practical roadmap for implementing GenAI in support functions, regardless of your starting point

Human-Centered GenAI Support: Winning Customer Loyalty in the Automation Era

Despite massive investment and executive enthusiasm, most organizations implementing GenAI remain stuck in perpetual pilot purgatory. Behind the headlines and hype, a select group of companies has quietly crossed the chasm from experimentation to enterprise-wide transformation—achieving what their competitors merely discuss in boardrooms. Their secret isn't better technology, but rather a systematic approach to implementation that balances ambition with pragmatism.

GenAI's true power lies in enterprise-wide applications—reimagining customer experiences, supercharging product innovation cycles and transforming operational efficiency across every business function. The question isn't whether to implement GenAI, but how quickly you can transition from experimentation to organization-wide transformation while balancing innovation with responsible governance and ethical considerations.

Join Pankul Chitrav (Application Release Engineer, TD Bank) to discover how your organization can build an actionable GenAI roadmap that delivers immediate business impact while positioning you for sustainable competitive advantage.

Key Takeaways:

- Explore how leading organizations are applying GenAI to create tangible business value across functions
- Learn specific strategies to expedite product development, content creation, and decision-making through GenAI implementation
- Master techniques for streamlining operations while delivering hyper-personalized services at scale
- Gain actionable insights on governance frameworks, ethical considerations, and sustainable GenAI adoption strategies

Unleashing Generative AI: Transform Business Strategy from Concept to Competitive Edge

With AI tools exploding, organizations today are bombarded with new technical tutorials and prompt engineering tactics. But they often become obsolete within weeks. While competitors chase fleeting GenAI techniques, the true competitive advantage lies not in mastering specific tools, but in cultivating something far more fundamental. This presentation reveals the missing catalyst that transforms GenAI from a specialized technology into an organization-wide force multiplier.

The challenge isn't in teaching your teams how to use GenAI—they're already adopting it in their personal lives. It's in creating an environment where innovation flourishes organically across all levels of your organization. Brian Kirsch demonstrates why empowering employees to apply their unique job expertise to GenAI implementation delivers more sustainable results than top-down technical approaches. Learn how to establish the right framework that enables continuous innovation without requiring constant retraining as the technology evolves.

Join Brian Kirsch, IT Instructor and Industry Expert, to discover the one evergreen principle that drives successful GenAI adoption across organizations of all sizes.

Key Takeaways:

- Understand why traditional GenAI implementation approaches fail to deliver lasting competitive advantage
- Learn to empower employees at all levels to become drivers of AI innovation without technical expertise
- Discover a sustainable framework for GenAI adoption that remains effective despite rapid technological changes
- Gain practical strategies for fostering an environment where AI-driven innovation flourishes organically
- See real-world examples of how simple ideas can create profound change across departments

Unlocking the Secret to Sustained Innovation with GenAI

Generative AI is rapidly transforming collaboration by enabling capabilities such as summarization, workflow automation, translation and more. Generative AI offers the potential to fundamentally transform how teams and individuals collaborate and create, eliminating mundane activities and fostering innovation.

In this session, we’ll explore how Generative AI is changing the workplace collaboration landscape, including availability of tools within collaboration applications, third-party tools, and studios enabling custom AI tool creation. We’ll look at organizational strategies and share real-world examples of approaches that achieve measurable success. We’ll also look at security, compliance, and governance concerns to minimize risk.

Key Takeaways:

- Learn how to identify and implement the right Generative AI tools for your team's specific needs, whether that means using built-in features in existing applications, integrating third-party solutions, or building custom tools for unique workflows.
- Understand how to create a foundational strategy for introducing Generative AI into your organization, including understanding which collaborative tasks can be automated to free up time for strategic work.
- Gain knowledge to evaluate and address security, compliance, and governance risks associated with Generative AI, enabling you to implement these tools responsibly and minimize potential liabilities.
- Discover how to measure the success of Generative AI initiatives by measuring before and after improvements resulting from implementation.

Leveraging Generative AI to Improve Collaboration

Storytelling is one of humanity's oldest tools—yet in the corporate world, its power remains largely untapped. Every day, brilliant business ideas die silently, buried beneath technical specifications and corporate jargon. The result? Missed opportunities, disengaged stakeholders, and strategies that never reach their potential. What if you could break this cycle and transform how your ideas are received and implemented?

With GenAI, business leaders can go from dense and technical business language to persuasive narratives that connect and convert. By leveraging AI-powered storytelling techniques, operations leaders, IT professionals and transformation executives can overcome the traditional disconnect between technical teams and business decision-makers, creating alignment that accelerates adoption and drives measurable outcomes. For professionals working in enterprise processes, AI operations, and digital transformation, this capability isn't just nice-to-have—it's essential for ensuring your initiatives receive the right support and resources.

In this session, Inigo Antolin (Head of Data Management and Governance at The British Council) reveals how to harness GenAI to transform your business communication from forgettable presentations into strategic narratives that drive action and results.

Key Takeaways

- How the storytelling gap is undermining enterprise process improvements and technology adoption in data-driven organizations
- Practical frameworks for using GenAI to translate complex technical concepts into compelling business narratives
- Techniques to customize your storytelling approach for different stakeholders across the enterprise
- Ready-to-implement GenAI tools and prompts that enhance communication effectiveness without requiring creative expertise
- Measurable business outcomes achieved by organizations that have mastered GenAI-powered storytelling in process transformation initiatives

GenAI Storytelling: Turning Technical Complexity into Business Impact

Customer retention has never been more important - or challenging. With rising acquisition costs, keeping the customers you already have is paramount, but they're constantly bombarded with competing offers. The key to standing out and fostering loyalty lies in delivering personalized experiences that make them feel valued and understood. Are you truly leveraging your customer data to create these stickier relationships?

The surge of customer data coupled with fragmented digital touchpoints presents a complex challenge. Many companies are overwhelmed - struggling to translate raw data into actionable insights and personalised experiences that resonate with individual customers. Traditional marketing tactics fall short, leading to missed opportunities to build lasting relationships, drive loyalty, and achieve sustainable growth. This is precisely why embracing a connected customer strategy has never been more critical.

Join Anna Samkova, Co-Founder & Strategic Advisor at Albany Advisory, for this session to explore how to unlock exponential growth by turning customer data into personalized experiences with the C.L.I.E.N.T. Growth Framework.

Key Takeaways:

- Implement the C.L.I.E.N.T. Growth Framework to transform raw customer data into a powerful engine for personalization
- Discover proven strategies to activate data in ways that feel personal, purposeful, and commercial
- Gain actionable insights into what truly meaningful personalization looks like in 2025 and beyond – and how to deliver it effectively
- Identify and avoid common personalization pitfalls that can damage customer trust and undermine your ROI
- Understand how to build a connected customer strategy that drives customer lifetime value, loyalty, and sustainable revenue growth

The C.L.I.E.N.T. Growth Framework: Your Roadmap to Personalized CX Success

Sustainability has become a defining element of modern customer experience (CX), shaping how companies build trust, deliver value and foster long-term relationships. Today’s stakeholders expect more than responsiveness and services; they want transparency, environmental accountability and data-driven insights.  

CHEP's transformation from traditional platform provider to data-driven sustainability partner illustrates how organizations can turn environmental commitments into competitive advantages. By embedding circular economy principles into customer touchpoints, companies create dual value: reducing environmental impact while enhancing customer relationships through transparency, efficiency and shared purpose. This approach transforms sustainability from a compliance exercise into a powerful engine for customer loyalty and operational excellence.

Hear from CHEP leaders on how sustainability is reshaping customer experience expectations across industries.

Key Takeaways:

- Insights for embedding sustainability metrics and circular innovation across customer touchpoints 
- How transparent environmental reporting strengthens customer relationships and reduces friction points
- Techniques for leveraging digital systems to enable circular business models and quantify sustainability impact
- Methods for integrating self-service platforms with predictive analytics to deliver more sustainable, responsive service

Accelerate Loyalty Through Circular Innovation in Today's Sustainability Market

Customer conversations contain strategic revelations that most executives never hear, yet these unfiltered moments often predict market shifts before formal data ever could. Although 84% of CX leaders advocate for bringing these insights to the executive table, many organizations still treat customer interactions as operational noise rather than the strategic signal they actually represent. 

Although 48% of companies now employ interaction analytics, many struggle to effectively distribute these insights beyond the contact center. Additional advantages come fromsystematically analyzing customer interactions to inform product development, marketing strategies, and executive decisions; creating a unified approach to customer experience that drives measurable business outcomes and strengthens customer loyalty across the entire journey. 

Join Robin Gareiss, CEO of Metrigy, as she shares research-backed strategies that transform conversation data into business value. 

Key Takeaways: 

- Discover which conversation metrics deliver the most substantial business intelligence and how to capture them effectively 
- Learn practical frameworks for distributing interaction insights across departments to create organization-wide customer-centricity 
- Understand how to quantify the ROI of conversation intelligence through improved business metrics and enhanced customer satisfaction 
- Gain actionable implementation strategies that work regardless of your current analytics maturity

Conversation Intelligence: The Hidden Gems that Impact all Business Decisions

Your customer just spent 15 minutes navigating your support portal only to end up exactly where they didn't want to be: on hold with your call center. This all-too-common scenario reveals the main flaw in how organizations approach digital self-service: designing for scale rather than CX success. 

Unfortunately, customer portals are often designed primarily to eliminate contact via more costly resources. When designed solely to scale support, they fail to meet the CX mark. The best portals humanize the digital experience by understanding the customer's journey and anticipating needs before frustration sets in.

This session examines the critical need to balance operational efficiency with customer-centered design principles that transform portals from necessary evils into preferred channels.

Join Phllis Drucker (Influencer, EZ2BGR8 Service Management) to explore how to achieve great CX results through innovative portal design that puts customers first while still delivering operational benefits.

Key Takeaways:

- Identify common pitfalls that typical portals fall into and how to avoid them
- Apply customer journey mapping techniques to create intuitive, emotionally intelligent digital experiences
- Implement a practical roadmap for designing and innovating a new portal experience
- Measure the true ROI of your portal beyond call deflection metrics
- Balance automation with human touchpoints to create meaningful digital interactions

Humanizing Digital Portals: Transform Self-Service in the Age of CX Expectations

The AI implementation paradox haunts contact centers everywhere. With sophisticated technologies being deployed and substantial investments made, the promised revolution in efficiency and experience remains frustratingly slow. This disconnect between expectation and reality has left many CX leaders questioning whether their AI strategy has missed the mark.

 

The challenge lies not in the technology itself, but in how it's implemented and aligned with broader business objectives. As contact centers evolve into multi-channel customer engagement hubs, simply layering AI onto existing processes isn't enough. Success requires thoughtful integration that considers both customer and employee perspectives, proper design principles and strategic alignment with business goals.

 

Join Catriona Howell, CX Consultant, for an insightful case study exploration that reveals how to bridge the gap between AI implementation and meaningful business outcomes in the modern contact center.

 

Key Takeaways:

 

Identify common pitfalls that prevent AI and automation from delivering expected results in contact center environments
Discover practical strategies for aligning technology implementation with both customer and employee experience goals
Learn how to design AI solutions that enhance rather than hinder the human elements of customer service
Understand how properly implemented contact center AI can generate broader business value through customer insights and engagement

Beyond Automation: Unlocking Real Value from AI in the Contact Center

The AI implementation paradox haunts contact centers everywhere. With sophisticated technologies being deployed and substantial investments made, the promised revolution in efficiency and experience remains frustratingly slow. This disconnect between expectation and reality has left many CX leaders questioning whether their AI strategy has missed the mark.

The challenge lies not in the technology itself, but in how it's implemented and aligned with broader business objectives. As contact centers evolve into multi-channel customer engagement hubs, simply layering AI onto existing processes isn't enough. Success requires thoughtful integration that considers both customer and employee perspectives, proper design principles and strategic alignment with business goals.

Join Catriona Howell, CX Consultant, for an insightful case study exploration that reveals how to bridge the gap between AI implementation and meaningful business outcomes in the modern contact center.

Key Takeaways:

- Identify common pitfalls that prevent AI and automation from delivering expected results in contact center environments
- Discover practical strategies for aligning technology implementation with both customer and employee experience goals
- Learn how to design AI solutions that enhance rather than hinder the human elements of customer service
- Understand how properly implemented contact center AI can generate broader business value through customer insights and engagement

Beyond Automation: Unlocking Real Value from AI in the Contact Centre

Small and medium enterprises are drowning in data while starving for insights. With unstructured data projected to represent up to 90% of all enterprise data by late 2025, and only 35% of SMEs leveraging cloud-based analytics, there's an enormous untapped potential for competitive advantage. In today's AI-driven landscape, the ability to transform raw data into actionable intelligence isn't just beneficial—it's essential for survival and growth.

While large enterprises deploy specialized teams and substantial budgets to tackle data challenges, SMEs face unique obstacles in extracting value from their information assets. Without proper frameworks for data cleansing, integration, and governance, organizations risk making critical decisions based on flawed insights. This session delivers practical, cost-effective strategies specifically designed for businesses without enterprise-scale resources, helping you navigate regional compliance variations and integrate data across disparate systems to drive measurable ROI.

Join Eugina Jordan (CEO and Co-founder of YOUnifiedAI) to explore proven methods for converting data chaos into strategic advantage.

Key Takeaways:
- Practical frameworks for effectively managing both structured and unstructured data sources
- Step-by-step methods for ensuring data quality and integrity across your organization
- Integration strategies that bridge legacy systems with modern platforms without breaking the budget
- Governance approaches that address regional compliance variations while maintaining data accessibility
- Real-world examples of SMEs that have successfully converted disparate data into revenue-driving insights

From Data Chaos to ROI: Practical Frameworks for SMEs

As data collection and analysis become increasingly central to business, research, and governance, protecting sensitive information is more crucial than ever. This session will examine the privacy, ethical, and security challenges involved in analyzing sensitive data such as personal health records, financial information, and other confidential datasets. 

Key questions to be addressed include: 
- How can sensitive data be ethically and responsibly analyzed while still protecting individual privacy? 
- What technical and policy safeguards are essential when working with sensitive data? 
- How can risks related to re-identification, unauthorized access, and data leakage be mitigated? 
 
This talk presented industry thought leader Donald Farmer will review best practices and frameworks for enabling secure and ethical data analysis across various industries and applications. Expert perspectives on navigating emerging regulations, managing tradeoffs, and aligning analytical objectives with privacy values will be discussed. Attendees will gain critical insights into analyzing sensitive data securely while upholding public trust and mitigating risks.

Analyzing Sensitive Data: Privacy, Ethics, and Security Considerations

The US data privacy laws in the US are shifting from a "harms-prevention-based" approach to a "rights-based approach exemplified by the European Union's General Data Protection Regulation (GDPR). Following California's lead, four other states, including Colorado, Connecticut, Utah, and Virginia, will begin enforcing new GDPR-inspired statutes in 2023. The shift in the philosophical framework will have profound implications for data privacy protection.

The US has historically allowed businesses and institutions to collect personal information without consent while regulating those uses to prevent or mitigate harm in specific sectors. The EU, on the other hand, has long pursued a rights-based regime for protecting personal information, which holds that data privacy is a fundamental human right. This has roots in Europe's history of suffering through the infamous data collection of the Nazis and the similar collection of data by the formerly communist East Germany's secret police. The GDPR, which became enforceable in 2018, codified several key principles reflecting the Europeans' human rights philosophy. The new laws will be applicable to specific industries and types of institutions and will impose restrictions on industries and institutions regarding their handling of personal information. More states are likely to follow the GDPR in the coming years.

This webinar entails to:
- Introduce the market drivers of the US privacy laws industry and their roles.
- Illustrate the shift in the philosophy underlying data privacy laws in the US.
- Comparison of the US "harms-prevention-based" approach vs the European Union's approach is more rights-based.
- Summary of the EU ‘s General Data Protection Regulation (GDPR), which became enforceable in 2018.
- Understanding how the principles reflected in the new data privacy framework will have profound implications in the years to come.

The New Era of Data Privacy Laws

The difficulties of securing data in cloud-native applications are many, for example:
• There exists a proliferation of data islands, complicating the creation of a unified cloud security view;
• As microservices are created, evolved, and removed, those islands can remain unused—yet still pose a risk to you;
• Propagation and caching of sensitive data between microservices can result in compliance blindness.

That’s not to mention the variety of data storage formats with which IT pros must contend and protect (such as file, object, block, and SQL). Let’s hit the reset button, shall we?

Join us in this Fireside Chat at the Data Security Risks and Challenges BrightTALK Summit to discover 5 principles—based on the basics—with which you can improve cloud-native app security and to see how CNAPP solutions are making a real difference. Tim Miller, Technical Marketing Engineer at Outshift by Cisco joins the discussion with Enterprise Strategy Group analysts.

Securing Your Data in a Cloud-Native Application World

Companies need to understand “wicked” problems, and the best way to navigate the organization during periods of uncertainty.

Companies should ask themselves how speedy their response be to a data security incident, when escalating to the senior leadership team, more so when it is an extortion and/or ransomware attack that involves critical data sets.

Tune into this session presented by disaster recovery and cyber resilience expert Steve Yates as he brings to light the crisis management options for those scary technology moments for when super speedy decisions are needed (or are they)?

By the end of the session, you will be able to:
- Be aware of data security incident management processes and procedures. 
- Form an understanding of the need for having a plan (runbooks/playbooks) and agreed crisis escalation process.
- Be conversant with a joined-up thinking approach when reviewing technology incident management that is “fit-for-purpose”.

Data Security Incident Management: What Keeps You Awake At Night? Part 3

In IDC’s recent survey (Data Loss Prevention Survey, sponsored by Forcepoint, October 2023), 80% of customers indicated they are synching their DLP policies across endpoint, cloud applications (CASB), and web traffic (SWG) but they find it extremely time consuming and resource intensive. Given the option, even more (85%) would choose a single DLP solution that they could manage across endpoint, CASB, and SWG channels.

In this webinar, Frank Dickson, IDC Group Vice President and Jim Fulton, Vice President, Product Marketing show how 31% productivity gains can be achieved as well as cost and time savings by moving to a single DLP solution across endpoint, cloud, and web applications.

Join this session to learn how Forcepoint can solve this problem for you with Data Security Everywhere.

1: IDC’s recent survey (Data Loss Prevention Survey, sponsored by Forcepoint, October 2023, US51335023

Unified DLP Revolution: IDC Unveils Game-Changing Solutions

Data, your most important asset, is growing at a breakneck pace and must be accessible to be useful in today’s business. How do we enable agility and innovation while enabling the necessary security controls? Gaining visibility into your data, where it resides, and who has access can help you proactively limit the scope and impact of a cyber attack. Join our industry experts as they discuss strategies and best practices for a proactive approach to data security.

Make sure to take a look at the attachments as well - we've added extra learnings on how to optimise data protection and provided you with additional resources to help set you up for success.

Strategies and Best Practices for Proactive Data Security

Join the BrightTALK Summits webinar addressing Data Security Risks and Challenges!

Say farewell to the era of weak passwords vulnerable to modern threats. Safeguarding your Active Directory necessitates a robust password policy. Native Windows tools often fall short in tackling today's security challenges and complex compliance requirements. The struggle is real, isn't it?

Introducing the game-changers: Netwrix Password Policy Enforcer and Netwrix Password Secure. Brace yourself for password enforcement that's not only powerful but also incredibly user-friendly. Bid farewell to the headaches and embrace rock-solid security. Your Active Directory will thank you!

Watch this session to discover how to:

- Set up a robust and user-friendly password policy for your Active Directory.
- Prevent the use of weak passwords by customizing dictionaries and cross-referencing against the HIBP database of compromised passwords.
- Simplify password compliance with pre-defined policy templates.
- Enforce the generation of passwords that meet policy requirements.
- Ensure secure password sharing among your employees.

Securing Your Active Directory: The Power of a Resilient Password Policy

The International Standards Organization’s ISO 27701 privacy information management standard is a framework that covers both security and privacy compliance aspects of various privacy regulations around the world. As a certified ISO 27701 Lead Auditor, Ralph Villanueva is more than happy to help the audience and their organizations resolve their data privacy risks and issues by pointing out how to use this very useful framework. 

Tune into this informative talk to learn the benefits of this new frameworks and how to make the best use of it. Even better, this framework will make enterprise-wide privacy compliance more cost effective across geographic locations, and add more value to the audience’s privacy work within the company as well.

How to Leverage ISO 27701 to Fulfill Data Privacy and Compliance Requirements

Staying ahead in the dynamic landscape of data privacy and compliance is not just a necessity but a strategic advantage in order to stay compliant and gain trust from your customers. As we approach 2024, several key trends are emerging that will reshape your understanding of and methodology to these crucial areas. 

Our live talk, on December 5 at 2 pm ET, led by Gary Brickhouse, CISO along with Dan Mengel, Practice Director, Compliance and Jason Eddinger, Senior Security Consultant, Data Privacy will discuss these pivotal shifts that will significantly impact your strategy heading into 2024.

Register today.

Navigating Compliance and Data Privacy Trends Into 2024

There is no shortage of privacy laws and regulations. We keep hearing that the latest privacy laws “will change everything”, but have they made a real difference? This session proposes an alternative approach. Privacy can be treated as an attribute of personally identifiable information and can be managed using data management techniques. Rather than building privacy programs on compliance with laws, it may be more productive to manage the data itself.  

Key takeaways include:
1.      Why and how data privacy has been managed in recent years.
2.      How the compliance-based approach to privacy has shaped organizational approaches to the issue.
3.      How data management principles can offer a different, and perhaps better, way for managing privacy.
4.      How a data management approach would alter organizational structures.

Have We Been Doing Data Privacy The Right Way?

With the explosion in AI, organizations need to be mindful of the security risks that this cutting-edge technology can bring. Rob Van de Veer, Senior Security Director and Trusted EU Advisor, shares how to implement rigorous security protocols in the world of AI engineering, AI lifecycle management, AI models, and privacy controls.

A.I. Security | A strategic guide to implementing security and risk controls

Data Security Risks and Challenges

In an era where artificial intelligence (AI) is transforming industries and reshaping the way we live and work, striking the delicate balance between innovation and data privacy compliance is paramount. This session delves into the evolving landscape of AI, discussing how businesses can harness its power while safeguarding sensitive data and adhering to privacy regulations. Explore the challenges, ethical considerations, and strategies that are shaping the future of AI in a privacy-conscious world.

In this session, you will: 
1. Recognize how AI is reshaping industries and business operations, presenting exciting opportunities for innovation.
2. Understand the increasing concern regarding data privacy as AI systems rely on vast amounts of personal and sensitive information.
3. Gain insights into navigating the complex regulatory landscape, including GDPR and CCPA, to ensure compliance in AI projects. 
4. Explore ethical concerns such as bias, fairness, and transparency in AI development and their intersection with data privacy.
5. Learn about strategies and best practices for maintaining a balance between AI innovation and data privacy, building trust with consumers, and staying compliant.

Data Privacy and the Future of AI: Balancing Innovation and Compliance

Artificial Intelligence

Data Privacy

Business Operations

Innovation

sensitive data

Compliance

AIOps

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Enterprise Applications

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Business Intelligence and Analytics

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Data Privacy and the Future of AI: Balancing Innovation and Compliance

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Business Intelligence and Analytics