Rebecka Isaksson
KnowFlow Value
Founder
Sweden

KM Expert | Founder

Rebecka is an experienced and visionary thought leader, with a passion for technology, people, and behaviour. Her specialty lies within people and culture change, and providing guidance for how smart use of knowledge can generate significant business value, when powered responsibly and ethically by AI-technology. In addition to running KnowFlow Value, she is an active member and peer mentor in SIKM Leaders Community, a global community of KM-practitioners and experts, and a partner within the AI Lab Sweden network. She is a frequent keynote speaker at global events and conferences, and a sought-after guest on panels discussing relevant topics on how AI-technology accelerates and magnifies the value of KM strategies and solutions. As the former Director of Knowledge Management, and Product Marketing Manager for Content AI at Microsoft corporate headquarters, she has spent the last 10+ years working with organisations world-wide as an industry expert on Knowledge Management.

Ask Me Anything! Bring your questions for discussion
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An open and wide-ranging discussion about Microsoft 365 curated by you! Bring your questions to ask our panel on any subject related to the Microsoft 365 platform.


Beyond Content: Navigating the Knowledge Landscape with AI and Intelligent Solutions
sharepoint
syntex
ecm
copilot
contentmanagement
contentai
knwoledgemanagement
sharepoint-premium

For decades, Knowledge workers, organisations, and KM practitioners, have tried to resolve "the Search problem" without relying on users being fluent in meta data and taxonomy-speak. It has been a constant battle without any winners! Because content management is hard. What is logical and intuitive to one person is far from logical to another, thus we tend to build knowledge systems and content management solutions that equals “knowledge” to “content”, at the expense of experience, expertise, and peer-to-peer learning. Because the explicit knowledge assets have been the easy ones to scale and measure. With modern technology like AI and intelligent solutions like SharePoint Premium, Viva, and Copilot, we now have all the tools we need to be able to mine and tap into all distinct aspects of an organisation’s Knowledge: the codified, documented knowledge and the personal knowledge. In this session we will explore some thoughts and principles for taking an integrated approach to knowledge sharing, retention and monetization and discuss new ways to grow business value by cultivating every aspect of organizational knowledge – that goes beyond mere content management and search!

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From Chaos to Clarity: Mastering Enterprise Content Management
ai
ecm
copilot
km

For years, knowledge workers, organizations, and KM practitioners have grappled with “the Search problem.” The challenge lies in finding relevant information without requiring users to be fluent in metadata and taxonomy jargon. Unfortunately, this battle has often resulted in frustration and inefficiency. Successful Enterprise Content Management isn’t about a single tool; it’s about understanding the tactical intricacies that make your content ecosystem thrive. But also the strategic asset that organisational knowledge can be, if put to use across your business and organisation. Join us as we demystify holistic approaches to Knowledge and ECM and equip you with actionable insights to ready your organisation for Copilot and the powerful AI technologies that are now widely available.

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Can AI fix Knowledge Management?
ai
knowledge-management
km
copilot-readiness

When it comes to Knowledge Management, there is much that is necessary, but often not possible, and vice versus (1). In the evolving landscape of AI, integrating Large Language Models (LLMs) with Microsoft 365 presents real-world opportunities for knowledge management. This talk will explore the relationship between AI technologies and knowledge management, consider whether things that were previous necessary but not possible can now be addressed and dive into the critical role of ‘Humans in the Loop’, the mechanism for unlocking the full business potential of AI. We will delve into how AI potentially surfaces and shares Tacit Knowledge, brings some order to the traditional challenge of Explicit Knowledge. We may even discuss whether Knowledge Managers are pivotal in orchestrating AI deployment at scale, ensuring that AI solutions are not just technically proficient but also have context to create a place where collective intelligence can thrive. And be prepared to bring your questions, concerns, and experiences as we expect this to be an interactive and engaging session! (1) “The Birthday Party”, Harold Pinter

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From Data to Wisdom: Cultivating Organizational Success with AI-Powered Knowledge
ai
collaboration
culture
hybrid-work
ecm
knowledge-management
business-transformation
content-ai
km

AI is here to stay. Early adopters and early investors are seeing the business value and potential gains from integrating AI into their ways of working in ways that are sustainable, fosters innovation through collaboration and enhances productivity. But it requires leadership and vision and most importantly it requires people across the organization to be engaged and involved. Leaders need to build trust, but trust is earned and requires creating a positive and inclusive work experience, with instant access to relevant knowledge in context. In this session we will explore how AI-powered Knowledge solutions can help us shift focus from mundane work to value-add activities that drive significant business and customer value, while fostering a culture that ensures the wellbeing of its people. And it starts with building a knowledge-centric culture. What drives us? What motivates us as humans? And how can you, as a leader, inspire and motivate the people in your organization to build confidence in the organization and in themselves? Understanding the need for cultural and mindset changes, to reap the full benefits of AI-powered Knowledge, will be essential to organizational success!

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Rebecka can deliver sessions in
English
Swedish
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