AGENDA 2020

8:45

Welcome & Registration

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MORE BUSINESS with

COMPETITIVE AI & ECOSYSTEM PARTNERS

9:00

Ladies & Gentlemen

Start Your Engines!

9:05

KEYNOTE

IF AI IS THE ANSWER, WHAT WAS THE QUESTION?

Align your AI strategies with your business strategies
Big opportunities and manageable risks
The major decision for the futures, with a little help from data analytics

9:25

KEYNOTE

Dr. Johan Himberg, Chief Data Scientist, Reaktor

BUSINESS, AI, AND VALUE - CROSSING THE CHASMS

- What AI can’t do, but you can

- Optimise or disrupt - identifying value

- Why crossing the chasms between business, IT, and data is vital - and only a start

- Habits of value creating AI teams, experiences from real cases

9:45

HANDLING AND PRIORITISE THE ECOSYSTEMS WITH YOUR AI PARTNERS

· As data becomes more business-critical, its presence expands in the C-suite

· Laws and consumer rights that push companies toward transparent AI

· The needs to control AI

10:05

THE COGNITIVE ENTERPRISE - Fueled by Data & Exponential Technologies

- Harnessing the power of AI and other intelligent automation technologies

- The goal of react in real time with model-based tools on an enriched and structured environment

- Using exponential technologies at scale to get value out of your data

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Networking Break

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FROM CONCEPT TO REALITY

Overcoming the challenges

10:30

THE PATH TO A WINNING AI STRATEGY

- Rapid experimentation and “fast fail” the building blocks for long term success in AI

- A healthy dose of pragmatism and expectation management keys to successful implementation

- Imperative that organizations define their overall solution approach that includes AI & ML

- The business value realization organization wide absolutely crucial for the journey

10:50

APPLYING AI & ML in a BUSINESS CONTEXT AND ANY BUSINESS SIZE

- Practical considerations in model building and deployment

- Accounting for unexpected value – you must often trade exactness for actionable results. Simulate the models, then set the goals

- When to be flexible with assumptions, when it’s appropriate to deviate from the textbook and the importance of empathizing with your stakeholders.

- Scout the area with pilots, test hypotheses and gain the knowledge

11:10

IS YOUR CURRENT BUSINESS MODEL FIT FOR THE PURPOSE?

- Can technology revolutionise your business model?

- Understand how AI and automation can unlock new revenue streams

- Data and insights are the foundation to better decisions - do you have the info needed to make the right changes?

11:30

Fireside Chat

OPERATIONALISATION WILL BE THE NAME OF THE GAME

- 3 different size success stories

- Demystifying AI implementation

- Overcoming project mistakes and clarifying lessons learnt

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Lunch Break

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HOW TO ENSURE THE ROI OF AI DEVELOPMENT

12:05

KEYNOTE

Case: China the Leader of AI in 2025?

- Ability to keep pace with all leading AI technology

- Competitive advantages

12:20

AI x POLICY

Looking ahead at how external stakeholders and governmental regulations will influence your data strategy

- transferring and accessing data across borders, given different jurisdictions/laws/regulations

- EU/US/China – what’s next in tech policy? How will it change tech investments and innovation? What does it mean for private companies?

- Ethical Intelligence: What are Your Technical Morals?

12:35

OPEN

12:50

AI AND AUTOMATION IS CLAIMED TO CREATE MORE NEW JOBS THAN THEY DESTROY

- Is AI the new employee? Managing the evolving workforce landscape

- Driving AI adoption in the workplace

- Normalcy of the Hybrid-Workforce — Human and AI Co-operation

13:05

KEYNOTE

INVESTING IN EMERGING TECH

MAKING THE BUSINESS CASE TO BACK UNPROVEN TECHNOLOGY

- How can you evaluate technologies that are not yet proven?

- Being a pioneer holds risk – how can you mitigate it?

13.25

Q & A

8:45

Welcome & Registration

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EXCLUSIVE AI STRATEGY TABLES

Small-group discussions

Selected Seats

First Come, First Served - Super-charge your strategy

9:05

Designing a Data Science Center of Excellence (CoE)

- prepare for the future, build in culture for change into the strategy

- can one create your own CoE on a shoe string budget?

- don’t miss opportunities and chase the right projects

9:35

Demystifying AI implementation

- the secrets to successfully delivering complex projects with AI

- comparing the management of new AI initiatives in an online environment

- lesson learnt and hints on execution

10:05

How to build ethical, AI-augmented organizations people want to work for?

- What does good AI governance practice look like? Who is accountable?

- Legal, regularity and security frameworks. The matter of privacy.

- Considering data related risks.

- How can you create a culture of cross-functional, integrated ethics and compliance? Can a machine answer ethical questions?

10:35

Data Strategy: The fuel of your AI engine

- the need for clean data in your AI roadmap

- reducing the barriers to entry – making data accessible to your teams

- data migration strategies

- turning traditional players into an innovator

11.05

Key areas for AI deployment – a step-by-step approach

Structure & Momentum
Workforce & Buy-in
Trust & Data
Development & Convergence

11.35

Leadership structure – digital transformation starts from the top

- the evolving role of business leaders – what has changed for a CxO?

- creating the right mix in the leadership team - who do you need in the room?

- balancing the quick wins against long-term success