
In our 25-criterion evaluation of value stream management providers, we identified the 14 most significant ones and researched, analyzed, and scored them.
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This webinar shows attendees how to optimize Forrester’s research and resources when evaluating and selecting a value stream management (VSM) platform.
Key takeaways:
Vendors: Atlassian, Broadcom, CloudBees, ConnectALL, Digital.ai, GitLab, Harness, HCLSoftware/IBM, Jellyfish, Micro Focus, Planview, Plutora, ServiceNow, Zenhub
Target audience level: all levels
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Generative AI (genAI) is profoundly impacting the knowledge economy and knowledge work with the promise of improved productivity for knowledge workers. As we embrace these transformative forces, organizations must go beyond integrating AI into existing workflows and reimagine how work is performed. GenAI should empower the genAI worker — the curious questioner who drives a learning organization — transcending mundane tasks and fostering creativity and innovation. Knowledge improves the human ability to create and engage in innovation. Now is the time to build knowledge capacity and harness genAI wisely, bridging the gap and propelling us toward a future where AI truly becomes our advantage.Key takeaways: Learn how long-standing knowledge management beliefs are changing.Explore the use cases of genAI in knowledge management solutions. Understand critical success factors.Target audience level: intermediate
Join this webinar to understand the findings from The Forrester Wave™: Content Platforms, Q1 2025. The broader enterprise content management (ECM) market is innovating at a fast pace as vendors accelerate their investment in innovation, including AI. Hear about key trends, explore the key capabilities in today's content platforms, and understand how to use the Forrester Wave to shortlist the vendors that are the best fit for your organization.Key takeaways: Learn how AI, including generative AI, is shaping how to think about documents and unstructured data.Understand the criteria used to identify the Leaders, Strong Performers, and Contenders, and learn how to navigate the interactive Forrester Wave tool to build a personalized vendor shortlist.Target audience level: intermediate
In this webinar, we share insights from The Forrester Wave™: Marketplace Development Platforms, Q4 2024. Marketplaces enable you to sell things you don’t own to the customers you know best. But this business model comes with a price: Your operational changes will be distinct to you, so you must plan carefully with executive sponsorship. We explain what this means for users and which factors they should evaluate when choosing a marketplace development platform.Key takeaways: Learn how the marketplace development platforms market has evolved.Understand how to use these capabilities to drive value.Target audience level: all levels
As the digital landscape evolves, the convergence of edge computing, the internet of things (IoT), and operational technology (OT) is creating unprecedented opportunities and challenges for IT operations. Artificial intelligence for IT operations (AIOps) provides contextualization of these technologies within the larger IT estate for IT operations professionals. This webinar explores the pivotal role of AIOps in managing and optimizing these interconnected environments, ensuring seamless performance, enhanced security, and operational efficiency.Key takeaways: Understand how AI enhances edge computing by enabling real-time data analysis and decision-making at the source, reducing latency, and improving responsiveness.Identify the technologies, devices, and use case scenarios powered at four edge computing environments, and understand the role of IoT at the edge.Discover how AIOps can efficiently help manage and monitor vast networks of IoT devices, ensuring optimal performance and minimizing downtime.Learn how AIOps can help bridge the gap between IT and OT, providing unified visibility and control over industrial systems and processes.Explore how the algorithmic capabilities of AIOps can predict equipment failures and maintenance needs in OT environments, reducing unplanned downtime and extending asset life.Gain insights into how AI strengthens security measures across edge, IoT, and OT environments, protecting against cyber threats and ensuring compliance with industry standards.Understand how AIOps can scale with the growing demands of edge, IoT, and OT deployments, providing the flexibility to adapt to technological advancements and business needs.Target audience level: beginner and intermediate
The world woke up to a new tremor: DeepSeek’s partially open-source model, DeepThink (R1), by a company in China. With benchmarks comparable to other state-of-the-art models, reasoning explained by default, and low-cost development (less than US$6 million), it serves as another wake-up call. It opens the door to more disruption as smaller footprint models can run without the need for specialized hardware, accelerating edge computing use cases like autonomous vehicles and industrial automation. But risks abound in the form of data collection, storage, and release to regulatory authorities. The promise lies in model creation opportunities for many more startups and enterprises.Key takeaways: Learn what DeepSeek’s new model, DeepThink (R1), can do.Learn about its impact on the AI model market and on your enterprise AI ambitions.Discover which use cases are most impacted by this release. Understand the risks involved and how to navigate them.Target audience level: all levels
In the dynamic world of DevOps and agile methodologies, the integration of artificial Intelligence (AI) into IT operations (ITOps) is becoming a game-changer. AIOps (AI for IT operations) provides real-time insights, contextualization, and proactive capabilities vital to DevOps and agile success. This webinar will explore how AIOps can enhance the efficiency, speed, and reliability of software development and deployment processes, ensuring that organizations can deliver high-quality products faster and more effectively.Key takeaways: Discover how AIOps insights can help streamline DevOps pipelines, automating repetitive tasks and accelerating development cycles to meet the demands of agile environments.Learn how AIOps enhances CI/CD processes by predicting potential issues, optimizing resource allocation, and ensuring seamless integration and delivery of code.Understand how AI-driven insights can foster better collaboration between development and operations teams, breaking down silos and promoting a culture of continuous improvement.Explore how AIOps can predict and resolve incidents before they impact production, ensuring high availability and reliability of applications.Gain insights into how AIOps-produced analytics can provide actionable recommendations, improving decision-making and strategic planning.Understand how AIOps insights can scale with your agile and DevOps practices, providing the flexibility to adapt to changing project requirements and market demands.Target audience level: beginner and intermediate