Name: Why Backup Does Not Equal Cyber Resilience
Start: 2024-04-25T16:00:00Z
End: 2024-04-25T16:00:11.000Z
Location: BrightTALK
Rating: 5

This session will explore the integration of AI technologies such as machine learning, natural language processing, and deep learning with cloud-based data management platforms. In particular we will focus on how AI can enable organizations to automate and optimize various data management tasks, from data discovery and integration to governance and analytics.

There are some key technical considerations such data architecture, security and privacy, but we will also consider ethical and organizational issues as well as looking to the future with the latest trends in AutoML, edge analytics, and multi-cloud data management.

Attendees will leave this session with a clear understanding of the potential of AI-driven data management in the cloud, as well as practical insights and strategies for harnessing this exciting technology to drive their own digital transformation.

AI-Driven Data Management in the Cloud

Your data is more valuable and critical in the AI era, where tools can unlock more value with less effort. In this informative session, learn how AI is amplifying the value of your data, and why the typical architecture of AI infrastructure and applications creates new data management challenges that impede success. Learn how you can overcome these challenges by establishing a data foundation that accelerates and enhances your AI initiatives.

Building a Data Foundation for the AI Era

In today's rapidly evolving technology landscape, organizations recognize that the success of any digital transformation hinges on the human element driving the change. 

This talk navigates the complex interplay of modernization efforts and human behavior and offers actionable insights into leveraging people's power for impactful change. 

Led by a seasoned expert, the session dives into six key pillars of a human-centered digital transformation:
- Crafting a Vision for Value Delivery: Learn the art of creating your North Star of a vision that embraces digital advancements and emphasizes delivering tangible value to customers and stakeholders.
- Fostering Organizational Alignment: Dive into strategies for fostering alignment across all levels of the organization, ensuring that every team member is united in pursuit of the transformational vision.
- Communication Transparency: Discover the power of transparent communication channels in building trust, fostering collaboration, and ensuring clarity of purpose throughout the transformation journey.
- Leveraging Resistance as a Catalyst for Change: Learn how to leverage resistance as a catalyst for driving meaningful change, converting challenges into opportunities for growth and innovation.
- Supporting Your People Through Change: Delve into the importance of providing comprehensive support mechanisms, including training, mentorship, and clear frameworks, to empower individuals in embracing and adapting to change.
- Mastering Accountability: Uncover strategies for cultivating a culture of accountability, where every team member takes ownership of their role in driving the success of the transformational initiatives forward.

Whether you're leading transformation efforts or navigating change as a team member, this talk equips you with the knowledge needed to start unlocking the full potential of your organization in the digital era.

Human-Centered Strategies for Digital Transformation Success

Hear from digital and data experts to learn more about the future of data collection and making it work for your company. 

Max Cobert, Product Manager, FullStory 
Nancy Combs, VP Digital Strategy & Product, Papa Johns
Tom Cannon, Head of Built with Big Query, Google Cloud
Hayde Martinez, Head of Data & AI, Wizeline

Drive Better Digital Experience with Data Completeness

Join us for a comprehensive exploration of the intersection between artificial intelligence (AI) and data security. 

This session will include:
·   A thorough review of the risks and benefits of AI in the context of data security
·   A deep dive into Microsoft Copilot and its implications for the security of content in Microsoft 365
·   Other recent innovations in AI that introduce challenges (and opportunities!) for data security
·   Practical recommendations for strengthening your data security posture in the age of AI

Don't miss this opportunity to gain valuable insights for safeguarding your organization’s sensitive information as AI advances and expands.

Navigating the Data Security Landscape: Understanding the Impact of AI

In today's data-driven world, machine learning (ML) has become an essential tool for businesses to gain insights and build innovative products. However, successfully deploying and managing ML models at scale requires a robust and scalable infrastructure. 

This session will explore the key considerations for building and maintaining an ML infrastructure that supports product development and growth. We will discuss topics such as model training and deployment pipelines, data management, monitoring, and scalability. Additionally, we will share best practices for collaboration between product managers and ML engineers to ensure alignment and success.

Build Scalable and Viable Machine Learning Infrastructure for Product Success

The primary purpose of data management is to organize data in a way that allows end-users to derive value from it. Understanding the significance of data is crucial for informed decision-making and organizational growth. 

In this webcast, we will delve into the concept of value in the data landscape, recognizing it as a dynamic and multifaceted concept essential for business expansion. We will focus on how data storytelling can aid in transforming data into value. Through storytelling, organizations can bridge the gap between complex data and practical decision-making, fostering a deeper understanding of insights and facilitating more informed decisions.

3 key takeaways:
- The objective of data management.
- The concept of value.
- How data storytelling can help to turn data into value.

Using Data Storytelling to Turn Data into Value

Data Management: Navigating Opportunities for Success

Jason brings over 25 years of experience in information systems and technology.  He’s held a variety of roles and responsibilities in disciplines ranging from sales to consulting to project management.  Jason’s true passion is engaging with clients, both current and prospective, as well as partners and industry personas in fact-based dialogues to the betterment of the IT community. In addition, delivering premium customer experiences and technology solutions through thought leadership, passion, and expertise.  Jason has been with Rubrik for 7 years and is based in Nashville, TN.

Why Backup Does Not Equal Cyber Resilience

Backups

Cyber Defense

Cyber Incident Response

Data Backup

Cyber Resilience

Data Protection

The data center management community focuses on the holistic management and optimization of the data center. From technologies such as virtualization and cloud computing to data center design, colocation, energy efficiency and monitoring, the BrightTALK data center management community provides the most up-to-date and engaging content from industry experts to better your infrastructure and operations. Engage with a community of your peers and industry experts by asking questions, rating presentations and participating in polls during webinars, all while you gain insight that will help you transform your infrastructure into a next generation data center.

Data Center 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.

Why Backup Does Not Equal Cyber Resilience

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About this talk

Rubrik - NA - Channel