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Day 1 - 24 November 2020

08:30AM

Registration Opens

09:30AM

Chair’s Opening Remarks: Enterprise AI Day 1

09:45AM

Marloes Pomp

International Strategy

AI Coalition, Dutch Government

Associated Talks:

09:45AM - Day 1

View Presentation: AI in the Dutch Government

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Presentation: AI in the Dutch Government

• Introduction about National AI Coalition
• A guideline for the use of AI within the Public Sector
• Examples of AI projects within the Dutch Government
• Lessons learned so far

. Marloes Pomp, International Strategy , AI Coalition, Dutch Government

10:15AM

Presentation: Data Science and Machine Learning to make better business decisions

  • Understanding the business need or problem that needs to be solved.
  • Defining your KPI
  • Data quality and governance, how to avoid ‘garbage in, garbage out’
  • Testing and implementing the right algorithm
  • Translating your insights

10:45AM

Panel: A sprinkle of AI fairy dust makes the Enterprise better

  • Demystifying AI – what does it actually mean?
  • Distinguishing the hype from the reality
  • What can and can’t it do?
  • What are the opportunities and risks?

11:15AM

Networking Break

11:45AM

Óli Páll Geirsson

Chief Data Officer

City of Reykjavík

Associated Talks:

11:45AM - Day 1

View Presentation: Creating an AI Powered organisation

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Presentation: Creating an AI Powered organisation

  • Achieving organisational change, changing mind-sets and attitudes
  • Hiring and maintaining talent
  • Developing employee skill sets and capability development
. Óli Páll Geirsson, Chief Data Officer, City of Reykjavík

12:15PM

Presentation: The Cognitive Enterprise

  • Extracting and gaining value from vast amounts of data
  • AI as a digital assistant to enhance employee ability
  • What business functions are being disrupted?
  • Timescales for adoption, investment, scaling automation projects
  • Real world examples and best practices

12:45PM

Panel: Clash of the Titans! Investing in a platform model – Build, buy or partner?

  • Assessing the leading players; Amazon Web Services, Microsoft, Google, IBM
  • How to assess what your business needs versus what each vendor offers
  • How do you know which is best for your organisation? Do you need to budget for consultants?
  • Should you use the same AI platform partner as your cloud partner?
  • Benefits and lessons learned from cloud migrations when looking at AI cloud platform choices

01:15PM

Networking Break

02:15PM

Presentation: Humans and AI working together

  • What will the impact of an AI based workforce be on the future of the human workforce?
  • Cultivating a strong employee experience
  • Constructing effective human-machine teams
  • Making sure your organisation is customer led, insights driven and connected

02:45PM

Presentation: AI platform decisions – What to do with your legacy platforms and applications

  • How to create an iterative process of legacy system modernisation
  • Are there some workloads which will not budge – and if so what to do with them?
  • How to get boardroom buy-in, from the CTO to the CEO – allaying fears around how long-term the project will be, potential disruption to business processes
  • Lessons learned from cloud migrations and other digital transformation initiatives

03:15PM

Nelson Pereira

Customer Engineering Manager

Google Cloud

Associated Talks:

03:15PM - Day 1

View Presentation: Evocative applications of AI/ML within the enterprise

12:40PM - Day 2

View The emerging of rich customer insights from raw data to Intelligent Customer Assistants

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Presentation: Evocative applications of AI/ML within the enterprise

  • Cutting through the hype and myths of AI
  • A look at real-world industry applications
  • Benefits of AI & ML technologies can bring to the Enterprise
. Nelson Pereira, Customer Engineering Manager, Google Cloud

03:45PM

Networking Break

04:15PM

Harvinder Atwal

Chief Data Officer

Moneysupermarket Group

Associated Talks:

04:15PM - Day 1

View Presentation: DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed

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Presentation: DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed

 

  • According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
  • Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
  • Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
  • Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
  • Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.

A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals

. Harvinder Atwal, Chief Data Officer, Moneysupermarket Group

04:45PM

Panel: The challenge of operationalising AI

  • Prioritising projects
  • How do you get from lab to business process?
  • Making your infrastructure AI ready
  • Embedding AI into core business systems and processes
  • Access to quality data.

05:15PM

Chair’s Closing Remarks: Enterprise AI Day 1

05:30PM

End of Session

Networking Party | 6pm-10pm | Strandzuid, RAI

An evening of networking on Wednesday 1st July from 6pm. Access for Ultimate, Gold &Expo Plus holders in addition to speakers, sponsors, press & exhibitors. Taking place at Strandzuid, RAI. Join us for drinks & networking

Day 2 - 25 November 2020

08:30AM

Registration Opens

09:30AM

Enterprise AI Day 2: Chair’s Opening Remarks

09:45AM

Daniel Gebler

CTO

Picnic

Associated Talks:

09:45AM - Day 2

View Keynote: From convenient to smart shopping with ML

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Keynote: From convenient to smart shopping with ML

  • Behind the scenes look at Picnic’s deep-learning based behavioural analytics and prediction engine
  • A walk through the ups-and-downs of product, category and promotional recommendations of FMCGs
  • Learning from the failures along the way.
  • Predicting customer buying patterns with >95% likelihood the top 12 articles of the next order of each of our customers.
. Daniel Gebler, CTO, Picnic

10:15AM

Presentation: Building a CX strategy

  • AI solutions to better understand your customers in real-time
  • Analyzing customer feedback and sentiment at scale using NLP and NLU
  • Mapping the customer journey
  • Tracking and measuring success

10:45AM

Panel: AI for customer experience

  • How to leverage AI technologies such as NLP and Image recognition to get more value to customers with less expenditure?
  • How to gain customer’s trust
  • The next generation of conversational AI
  • Predictive Intelligence for predicting customer behaviour

11:15AM

Networking Break

11:45AM

Orlando Machado

Chief Data Scientist

Aviva Quantum

Associated Talks:

11:45AM - Day 2

View Presentation: Data, AI, and connecting with customers

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Presentation: Data, AI, and connecting with customers

  • How can the growth of rapid data sources, combined with advances in data science techniques help business build better customer experiences?
  • Commercial applications of technology versus work in the academic setting
  • Examples from Aviva’s digital transformation journey
. Orlando Machado, Chief Data Scientist , Aviva Quantum

01:15PM

Networking Break

12:15PM

Presentation: Case study – An intelligent Automation Journey

  • Evaluating which tasks to automate first. How to achieve time-to-value
  • How much will you need to invest?
  • How do you get organisation support and by in?
  • Scaling Intelligent Automation across the Enterprise
  • Lessons learnt along the way

12:45PM

Panel: Building Ethical AI Frameworks

  • The importance of transparent and accountable AI – how did the algorithm reach the outputted decision?
  • Avoiding bias in decision making systems and computer vision. How to avoid entrenched existing bias.
  • Data Protection and privacy rights. Can you apply AI learnings to different data sets?
  • Who is responsible when things go wrong? Who bears the risk?
  • Developing a set of policies and values to ensure safe AI that can benefit your business

02:15PM

Jeroen Van Genuchten

Global Product Owner Robotic Process Automation

ING

Associated Talks:

02:15PM - Day 2

View Presentation: Becoming an Intelligent Enterprise

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Presentation: Becoming an Intelligent Enterprise

Using technologies such as RPA, Conversational AI and Machine learning to:

  • Deliver exceptional customer experience
  • Empower employees
  • Drive new revenue streams
  • Make better products
. Jeroen Van Genuchten, Global Product Owner Robotic Process Automation, ING

02:45PM

Presentation: Customer insights with NLP and ML

  • How can you leverage NLP and ML techniques to maximise your customer’s lifetime value
  • Refining high-volume data to gain deeper insights into attitudes and behaviours
  • Scaling personalisation with real-time behavioural signals.

03:15PM

Presentation: Strategies for leveraging Conversational AI

  • Strategies for leveraging Conversational AI
  • How are brands using virtual assistants to enhance customer and employee experiences
  • Improving response rates and operational efficiencies
  • Growing customer loyalty
  • Getting ROI

04:15PM

Panel: The Future of Enterprise AI

  • What business functions are being disrupted by AI and which will be next?
  • What challenges and opportunities do technologies such as predictive analytics, anomaly detection bring?
  • The increasing role of AI for cybersecurity
  • Using AI to improve productivity and enhance human creativity
  • What do leaders need to think about?

04:15PM

Chair’s Closing Remarks: Enterprise AI day 2

04:30PM

End of Session