Transform Your Cloud Strategy with
VMware Cloud Foundation 5.2
June 26, 2024. 11:00 am PDT
Discover the potential of merging the limitless scalability and speed of the public cloud with the robust security and unmatched performance of the private cloud. In this exclusive webinar, we’ll delve into the cutting-edge features of VMware Cloud Foundation 5.2, revealing how it enables you to create a unified, adaptable, and cohesive private cloud infrastructure across diverse cloud environments. Don’t miss this chance to gain firsthand insights into the game-changing advancements of VMware Cloud Foundation 5.2. Join us and revolutionize your cloud operations today!
Speakers: Rick Walsworth – Product Marketing Manager | VMware Cloud Foundation, and Sabina Anja – Product Marketing Engineer | VMware Cloud Foundation
Snowpark Day: Where Python Developers
Can Learn the Latest Innovations for
AI/ML Workflows in Snowflake
Set of libraries and runtimes that securely deploy and process Python and other programming languages in Snowflake to develop data pipelines, machine learning models, apps, and more.
Forrester Total Economic Impact Of Cisco Duo Case Study
Cisco Secure Access by Duo uses a multi-layered approach to secure access to applications in the cloud or on-premises with multifactor authentication, single sign-on, and device posture checks. To better understand the true cost and value of integrating Duo, Cisco commissioned a Total Economic Impact™ (TEI) study from Forrester Consulting. The study found that a composite organization comprised of real-world Duo customers realized a net present value (NPV) of $3.23 million over three years and a return on investment (ROI) of 159%. But Duo’s benefits extend beyond financial gains. Forrester’s study concluded that implementing Duo led to time savings for end users, help desk staff, security analysts, and IT staff, while reducing the risk of credentials-related security. For a complete look at Duo’s value to a business, get the key financial data points in The TEI of Cisco Duo study.
In this guide, you will learn how to evaluate a solution based on:
– Security Impact – Does the solution reduce risks, and can it provide visibility into your environment? – Strategic Business – Does the solution support cloud, Initiatives mobile and BYOD initiatives? Can it fulfill compliance? – Total Cost of – Does the solution provide more upfront Ownership (TCO) value, or more hidden costs? – Resources Required – Can your staff deploy and maintain the solution, or will you need to hire more personnel or contractors?
To achieve transformative business objectives, stay competitive and meet user expectations, enterprises are undergoing a digital transformation, also known as modernization. This shift to a decentralized, identity-centric operational model has placed increased importance on ensuring secure access for users. The future of authentication demands both a secure and usable method of authorizing users to both cloud and on-premises systems.
Building Exceptional Experiences with Privacy at the Forefront – Marketing & IT Collaboration
As marketers, we are used to delivering engaging experiences by understanding communication preferences, historical shopping behavior or seasonality trends. However, the swim lane of the ‘data steward’ is now blurring, with responsibility and access to customer data extending across functions and agencies. IT and privacy teams are leaning on the marketing groups now more than ever to understand consumer privacy, consent management and customer data best practices. Join Adobe and Bounteous in this informative session as we discuss how to streamline your customer data management implementations by collaborating with your IT organization at the onset.
Industry experts will discuss:
• Why consumer privacy and data governance strategies need to be considered for customer data platform (CDP) evaluations.
• How to be prepared as a marketer to support your IT organizations at the onset of implementation.
• The benefits to marketing organizations if consent strategy centralized.
• Proactive steps to increase your team’s competency and confidence for responsible customer data management.
• Embedding concepts and execution of data governance and consumer consent within use cases across any industry.
Win subscriber loyalty with customer value
management.
Today’s streaming customers are flooded with choices — and pickier and more price-conscious than ever. In fact, 66% of them reported canceling a streaming service within the last year.
Retaining loyalty requires a customer-first approach that personalizes the streaming experience. Our new guide, Put Every Customer at the Center of Your Streaming Experience will help you get started.
Using Generative AI to Improve Operational Efficiency and Data-Driven Decision-Making
Generative artificial intelligence (AI) is poised to transform practically every type of work. The potential of generative AI lies in its ability to automate development of every type of knowledge-based output. In the process, generative AI can boost the operational efficiency of many business processes that traditionally have relied on manual human efforts, as well as augmenting the productivity of humans in many knowledge-intensive functions.
This TDWI Insight Accelerator focuses on current enterprise practices and key steps your organization can take to unlock the potential of generative AI.
Six Best Practices for Harnessing Real-Time and Streaming Data Pipelines
As competitive pressures increase, many organizations want to leverage higher volumes of diverse data for analytics and new applications, including real-time and streaming data.
Streaming data refers to data that is generated continuously in a stream, typically at high volume, either at regular or irregular intervals. Working with streaming data may involve capturing multiple streams for later analysis or processing, or analyzing one or more streams in real time—for example, to immediately capture data that deviates from the norm.
Snowpark, Snowflake’s developer interface, enables full programmability with Python, Java and Scala languages. Customers see a median of 3.5x faster performance and 34% cost savings with Snowpark over managed Spark. When using Snowpark you can expect:
No trade-offs on governance when using Python libraries
Better price-performance
Reduced operational costs and time requirement for your data engineering teams