Name: Safeguarding Data in the Digital Age: Modern DLP and Protection Strategies
Start: 2024-07-16T15:00:00Z
End: 2024-07-16T15:00:35.000Z
Location: BrightTALK
Rating: 4.8

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

Are you struggling with complex identity relationships and complicated organizational assignments? To meet the demand for more complex user access requirements and to fulfill regulatory requirements, you need additional self-managed capabilities that augment your current Ping stack and help you manage user lifecycles across brands, relationships, consents, and permissions. 

In this webinar, you’ll learn how Ping’s Identity Management solution helps you:
• Create highly personalized experiences
• Ease administration of micro-relationships between users, devices, brands, and organizations
• Delegate responsibilities to scale administrative duties of identity data attributes and permissions across diverse identity populations
• Unify identity management to reduce redundancies and ensure consistent identity management practices

How To Untangle the Complex Web of Digital Relationships

In today's data-driven environment, enhancing data management requires a comprehensive approach that integrates forward-looking data governance and strategic data usage. By adopting integrated data governance strategies, organizations can ensure that data is not only compliant with regulations but also aligned with business objectives. Effective data governance promotes data quality, security, and accessibility, facilitating better decision-making processes. Moreover, strategic data usage encompasses the intelligent application of data insights to drive business growth, optimize operations, and maintain a competitive edge. Together, these strategies create a robust framework for managing data throughout its lifecycle, ensuring that it remains a valuable asset to the organization.

Optimizing efficiency through the implementation of data reduction techniques further enhances data management by addressing storage and operational cost challenges. Data reduction techniques, such as deduplication, compression, and tiered storage, significantly minimize the amount of data that needs to be stored and processed. This not only reduces the required storage capacity but also decreases associated costs, such as energy consumption and hardware maintenance. By leveraging these techniques, organizations can maintain high-performance data systems while managing their resources more effectively. Consequently, the combined approach of integrated data governance and data reduction techniques paves the way for a streamlined, cost-effective, and sustainable data management strategy.

To learn more about these innovative governance strategies and data management best practices, tune into this webinar where data science director Efe Ogolo will show viewers how to leverage established frameworks to ensure their data governance initiatives are successful.

Improve Data Management With Forward Thinking Strategies

Everyone has been talking about cyber incidents and breaches! In today's digital age, they are at the forefront of business concerns. The risks to data security and business continuity are now recognized as enterprise-level threats, demanding increasing attention from the Board of Directors. At the intersection of cybersecurity and operational disruption lies the critical need for comprehensive cyber incident response planning. 

This fireside chat will explore the multifaceted approach required to enhance an organization’s cybersecurity posture and achieve true cyber resilience. Key components include:
- Practicing good cyber hygiene – knowing your crown jewels and protecting them.
- Identity and access management.
- Identifying vulnerabilities and remediating them while looking out for emerging threats.
- Timely patching.
- Data security - confidentiality, integrity and availability.
- Governance risk and compliance management,
- Policies and standards.
- Training and awareness.

Discussion questions that’ll be explored in the presentation include: 
- How does disruption impact the business and its customers? 
- How can organizations build a strong resilience program? (Hint: there are 5 key steps) 
- What does the Board need to know when it comes to building resilience? 
- Are there any tools, frameworks and practices that can be leveraged at the Board level to facilitate strategic conversations?
- And more 

Attend this presentation to delve into these essential elements and gain insights to help you strengthen your organization's cyber resilience and ensure seamless business continuity in the face of cyber threats.

Understanding Resilience: A Board Level Concern

In an era where data is the cornerstone of strategic decision-making and business operations, ensuring its protection is paramount for C-suite leaders. This virtual webinar will provide an in-depth exploration of essential strategies and trends in data protection. 

Led by Shawnequa Albert, HR Director at KNZ Solutions, this session is designed to equip executives with the knowledge and tools necessary to safeguard their organizations against data breaches and cyber threats while fostering a culture of trust and compliance.

Not Your Ordinary Toolkit: An Essential Data Protection Toolkit for the C-Suite

Organizations are increasingly focused on Cyber Resilience, the ability to not only protect IT environments from intrusion, but also the ability to continue business operations in the face of a ransomware attack. Key components of a fully cyber resilient organization include the abilities to consistently and proactively prepare for the inevitability of a ransomware attack and the ability to rapidly recover when it happens. As corporate data continues to grow and become more valuable, the threat of ransomware and other malware also grows. New all-flash storage solutions are now being increasingly deployed as a preferred solution for storing backup data copies because of their inherent ability to restore large amounts of data quickly. In this session, join Tim Sherbak, an industry expert from Quantum Corp., to discuss:
• How all-flash solutions uniquely meet today’s requirements for rapid recovery and ideally fit into cyber resilience strategy
• How all-flash platforms fit into a multi-layered data protection strategy based on 3-2-1-1 industry best practices
• How to optimize both performance and cost-effectivity when deploying all-flash across your enterprise

All-Flash Storage for Rapid Recovery and Cyber Resilience

Generally Accepted Privacy Principles (GAPP) was developed specifically to enable auditors to assess organizations’ attainment of their objectives for data privacy.  Not aligned with any specific laws or regulations, GAPP is built on ten basic principles that apply to all of them, supported by 73 auditable criteria. This session will illustrate how to use each of these criteria to identify specific artifacts that lead to comprehensive conclusions regarding compliance with internal and external requirements.

Learning objectives:
- What are the business benefits of privacy compliance?
- What are the risks of non-compliance?
- Establishing privacy baselines.
- Using GAPP to create a privacy compliant organization.

Applying Generally Accepted Privacy Principles to Assessing Compliance

Protecting data of all kinds from loss, theft or damage is an essential part of a data management strategy. When identifying risks to data, a key action is to perform a data protection impact assessment (DPIA). In addition to being a requirement by the EU General Data Protection Regulation (GDPR), a DPIA protects critical data from threats and identifies potential vulnerabilities. 

This session describes a DPIA, why it is important, and how to perform one.

How to Perform a Data Protection Impact Assessment

Businesses, regulators and the public are more than ever focused on the security and reliability of our digital assets. Data loss can lead to financial setbacks, legal issues, and harm to an organization's reputation. Implementing a robust data loss prevention (DLP) policy is crucial for safeguarding sensitive information while enabling innovation. This presentation outlines a seven-step approach to creating an effective DLP policy.

Choosing the right DLP tools and making a compelling business case to secure buy-in from leadership are essential steps in the process. Testing policies, preparing for incidents, and continuous monitoring are also critical components of a successful DLP program.

By following these seven steps, organizations can proactively protect their data assets while fostering a culture of security and agility. Tune into this informative talk to learn both common pitfalls to avoid and best practices for implementing and managing DLP policies in dynamic business environments.

7 Steps to Create a Data Loss Prevention Policy

Ensure rapid resilience today.

Cybersecurity threats are multiplying faster than your defense. Ransomware, data breaches, natural disasters—the list keeps growing. But what if you had a foolproof solution to protect your data and ensure business continuity, no matter the challenge? 

Elisa Paik, Customer Education Manager at Zerto, a Hewlett Packard Enterprise company, will cover winning strategies to elevate your organization’s risk resilience and prepare for anything the future throws your way.

Join the webinar to learn more about:
-Practical approaches to mitigating cyber risks, data breaches, and natural disasters.
-Actionable tips for enhancing data protection and ensuring business continuity.
-How Zerto’s solutions can empower you to build compliant resilience strategies.

Whether you’re an IT professional, cybersecurity specialist, or business leader, this webinar is for you. Help future-proof your organization and gain a competitive edge. Register now to secure your spot.

Your Data Could Be a Single Cyberattack Away from Disaster

In the age of AI, data protection is more critical than ever. While AI tools offer incredible potential for safeguarding information, they can also introduce significant risks when employees lack clear guidance on their use. This session will explore the dual nature of AI in data security, emphasizing how uninformed or misdirected use by employees can lead to severe vulnerabilities.

We'll examine real-world cases illustrating the pitfalls of embracing new technologies without proper oversight. On the flip side, we'll highlight how well-informed employees can leverage AI to bolster data defenses effectively. Learn how to implement practical guidelines and best practices that empower your workforce to use AI responsibly, transforming potential risks into powerful security assets. 

Join us to understand the critical balance between embracing innovation, leverage your workforce cyber-self defense and maintaining a robust data protection.

The Double-Edged Sword: AI and Employee Awareness in Data Protection

The vital systems we use to fuel our everyday operations run on one thing: data. This means, when the scenario comes around that your data is not readily available and accesible, your business is no longer able to fuel the vital systems it runs on. In 2024, who can truly afford this disruption?

A recent Rubrik Zero Labs report showed how 98 % of organisations reported experiencing a cyber attack - which means that scenario of your data not being available and accesible is a lot more likely to happen to you too. Join this session to learn how you can secure your data while continuously monitoring for data risks and quickly recovering affected data with full integrity, when needed.

Spend 20 minutes with us in this session to learn:
-> Current overview of the landscape for enterprise data protection in 2024
-> What really is the Rubrik approach to enterprise data protection?
-> What's new in data protection technologies this year

Don't forget to look up additional information on this topic and more under attachments!

Enterprise Data Protection: Empower IT to Keep Your Data Safe and Resilient

How much sensitive data in Google Drive is exposed publicly?

In early 2023, we introduced the Google Drive Risk Scanner, a complimentary tool designed to offer insights into the security status of users' data stored on Google Drive. This scanner provides users with crucial information about their data's accessibility, including who has access, which files are publicly available, and actionable steps to implement data protection measures.

Our annual report, based on the findings from this scanner, serves as a cornerstone for understanding the extent of sensitive data exposure on Google Drive. 

Join us for an in-depth discussion led by Metomic's CEO, Rich Vibert, alongside industry experts, where we dive into:
 The findings from our ‘Risks of Storing Sensitive Data in Google Drive’ report
 The darker aspects of these widely embraced productivity tools in our work environments
 Effective strategies for managing data security and mitigating risks in productivity tools like Google Drive

Mitigating the Risks of Storing Sensitive Data in Google Drive

In the age of information, data classification has undergone a significant transformation. Gone are the days when it resembled Julius Caesar's  approach. Today, Piers Chivers and Ian Davies assert that the term "data classification" is now being co-opted by the market for various purposes. 

The question arises: Is the mere addition of sensitivity labels sufficient for software vendors to dub their product a comprehensive data classification solution? 

In this concise 30-minute webcast, our panel of experts will conduct an in-depth exploration of the following key aspects: 

- Identifying the criteria and attributes that truly matter when selecting a data classification partner. 
- Understanding the core functionalities and features that substantiate a genuine data classification solution. 
- Exploring why these capabilities are pivotal in safeguarding your data throughout its entire journey. 
- Real-world use cases

Data Classification - Great product; Awful name

Data Protection Strategies and Trends

In this presentation, we will start by exploring the history of Data Loss Prevention (DLP) and why it was such a significant challenge in the past. We will explain what has changed and then define DLP, outlining its main purpose and highlighting the essential role it plays in protecting sensitive information within organizations. We will discuss key elements of modern DLP, including data identification, data monitoring, and data protection techniques such as encryption, masking, and tokenization.

Next, we'll explore the latest trends in DLP, such as the significance of cloud DLP, the integration of AI and machine learning, and the importance of seamless integration with other security tools. We'll provide guidelines for effective data protection, including the development of robust data protection policies, the importance of employee training, and the necessity of regular security audits.

We will address common challenges in implementing DLP, such as complexity, cost, and the need to keep up with changing data protection regulations. Case studies will be presented, showcasing examples of companies that have successfully implemented DLP, highlighting their strategies and lessons learned from their experiences.

The future outlook of DLP will be discussed, covering emerging technologies and the evolving threat landscape, and how organizations can a

What attendees will learn:
- Understand the key components and strategies of modern Data Loss Prevention (DLP) and data protection techniques.
- Gain insights into the latest trends and best practices for safeguarding data, including AI integration and cloud security.
- Learn from real-world case studies and explore the future of DLP in the face of evolving threats and technological advancements

Safeguarding Data in the Digital Age: Modern DLP and Protection Strategies

Data Loss Prevention

Data Protection

Cloud Data

Artificial Intelligence

Machine Learning

Enterprise applications have become a crucial piece of infrastructure for many businesses. The enterprise applications community on BrightTALK features the latest insights in enterprise application integration, enterprise application architecture and EAS software. Join the community to gain access to thousands of videos and webinars presented by recognized enterprise information systems experts and arm yourself with the knowledge you need to succeed.

Enterprise Applications

Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.

Business Intelligence and Analytics

Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.

Big Data and Data Management

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

Safeguarding Data in the Digital Age: Modern DLP and Protection Strategies

Presented by

About this talk

Business Intelligence and Analytics