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Navigate the AI Revolution

04/12/2024

10:00-16:00

7A POSTHUSET

STOCKHOLM

DECEMBER 4th - HYBRID EVENT

Agenda

Theme:  Strategies for Reinvention. Disruption meets AI

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10.00

  • The blueprint for AI success, balancing business priorities, innovation and technology

  • Assessing potential returns that AI could deliver for your business

  • Key components and actionable steps for attaining measurable success and results in a AI driven business

OPENING REMARKS
WHAT MAKES A GOOD AI STRATEGY?

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10.20

NAVIGATING THE NEW FRONTIERS. THE TRANSFORMATIVE POWER OF AI

  • Strategies to maintain a competitive edge in the rapidly evolving AI domain

  • Future proofing your AI initiatives. Predicting and adapting to the AI evolution

  • When should we favor Gen AI initiatives?

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10.40

DO THE OPPORTUNITIES OUTWEIGH THE RISKS? HARNESSING THE POWER OF TECHNOLOGY; AUTOMATION AND AI.

  • Empowering Machine Learning (ML) and Robotic Process Automation (RPA) to enhance and expedite business decision-making.

  • Beyond efficiency: Leveraging AI for predicting future trends and innovative outcomes.

  • AI's role in reducing errors, enhancing personalization, and driving innovation.

  • Promoting agility across the organization with AI

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11.00

DEMONSTRATING THE VALUE OF AI. METHODS FOR QUANTIFYING AI CONTRIBUTIONS

  • Understanding AI value proposition - introduction to frameworks for defining the value AI brings to various business processes

  • Techniques for measuring AI's impact, both qualitatively and quantitatively

  • Tools and software for monitoring and reporting AI's contributions to business success

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GENERATIVE AI IS NOT YOUR AVERAGE TECHNOLOGY REVOLUTION

11.15

  • The monumental shift GenAI brings along has the potential to impact materially every aspect of a company

  • By connecting GenAI to other technology you can drive growth and productivity in a way that resets performance frontiers

  • Accelerate reinvention today and lead tomorrow! You have the power to shape the outcomes of a more innovative future

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11.35-12.35

NETWORKING BREAK

Theme: Ethical AI, Governance and Societal Impact. Building Trust in the AI Age

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12.35

ETHICAL AI - A STRATEGIC FRAMEWORK

  • How do we ensure bias-free AI?

  • Core ethical design principles to guide responsible LLM development

  • What can be done to mitigate biases in datasets and algorithms?

  • Emphasizing responsibility, trustworthiness, and safety in AI applications

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12.55

  • Analysis of recent regulatory developments and their implications for businesses worldwide, both globally and regionally

  • Can regulation like the EU AI Act stifle innovation? Explore the intricate balance between fostering responsible AI development and reaping its economic and social benefits

  • Strategies for navigating diverse regulatory landscapes while minimizing societal risks

MASTERING THE GLOBAL AI REGULATORY LANDSCAPE. STRIKING A BALANCE BETWEEN REGULATION, INNOVATION AND GOVERNANCE

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13.10

HUMAN - AI COLLABORATION. A SUCCESSFUL AI MODEL IS ONLY HALF THE JOURNEY

  • How can we overcome employee fears and misconceptions about AI and foster trust and a culture of acceptance?

  • AI-powered customer service and preparing the workforce for an AI-augmented future - the role of AI and human agents in contact centers

  • Strategies organizations can adopt to bridge the talent gap in AI skills?

  • How can we design effective change management processes and governance structures?

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13.25

UPHOLDING ETHICAL AI PRACTICES

  • Establishing and adhering to ethical guidelines for AI use, ensuring that AI systems are developed and used in a responsible and unbiased manner.

  • Promote transparency and explainability in AI algorithms and decision-making processes to build trust and accountability with stakeholders.

  • Conducting regular audits to ensure ethical compliance, privacy regulations and fairness as outcomes.

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13.40

PANEL
WHAT’S KEEPING YOU UP AT NIGHT?

  • Do you understand the real problem that you are trying to solve with AI in a fast-paced business environment?

  • Ethical concerns associated with LLMs, including bias, accountability, and transparency

  • What does it take to make your organization AI-ready? How do you make nuanced AI-driven decisions and keep processes optimized

  • AI governance. Who is accountable? The matter of privacy - can a machine answer ethical questions?

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14.00-14.30

NETWORKING BREAK

Theme: The Road to AI Maturity. From Pilot to Scale

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14.30

OVERCOMING HURDLES FACED DURING AI IMPLEMENTATION

  • Lack of in-house expertise and technological overload

  • Where and how to incorporate AI within business?

  • Overestimating AI's power

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14.45

  • Setting KPIs and benchmarks based on pilot initiatives

  • Building scalable foundations. Overcoming scale-up challenges

  • Engaging people and processes to align with new AI-powered workflows and cultural shifts

AI SCALABILITY: FROM PILOT TO ENTERPRISE-WIDE IMPLEMENTATION

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15.00

AMPLIFY YOUR WORKFORCE - What’s the best approach - upskilling, reskilling, or replacement?

  • How to prepare for inevitable job shifts and new skill set requirements

  • Gain insights into optimal practices and programs for upskilling, reskilling, and even augmenting human capabilities to thrive alongside machines

  • What AI does to your culture and how to grow your human capital with AI?

  • AI makes humans smarter and faster in Customer Service. Is that likable?

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15.15

TOMORROW’S CUSTOMERS AND EVOLUTION OF AI IN CX OPERATIONS. Leveraging AI for Unparalleled Customer Experience

  • Is AI shaping a new generation of consumers? Impact of AI on consumer behavior

  • Data-driven Insights: gain a deeper understanding of customer behavior, preferences, market trends, and business dynamics

  • Optimize Resource Allocation by predictive analytics: optimize resource allocation,  inventory management, staffing, and budgeting, based on anticipated demand and market conditions.

  • Determine Customer Lifetime Value (CLV) to drive retention, customer acquisition, and profitable business operations

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15.30

CLASH OF CULTURE. What happens with customer experience when humans are not responsible for decisions?

  • Merging Customer Centricity with Data Driven Insights. Discover opportunities, delight customers, and optimize your profits

  • Use data and AI to understand and predict customer demand and behavior, to identify new market segments and new revenue streams

  • Enhancing customer loyalty and satisfaction with Generative AI, helping them find the right offering at the right price

  • How to combine knowing your customer with automating decision-making?

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IS YOUR CURRENT BUSINESS MODEL FIT FOR THE PURPOSE? MODIFYING STRATEGIC DIRECTION CONSIDERING MARKET SHIFTS AND DISRUPTIONS

15.45

  • Prepare for an autonomous future. But to what degree can you leave your business on autopilot?

  • Adjusting business strategies in response to AI-driven market shifts

  • The role of executives in fostering ethical AI and innovation

  • The role of AI in creating new revenue streams and business models

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16.05

END OF DAY

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16.45

STRATEGY TALK AFTERWORK SOHO HOUSE

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