Day 1 - 4 November 2020

08:30AM

Registration Opens

Defining & Demystifying AI

09:30AM

Enterprise AI: Chairs Opening Remarks

09:45AM

Keynote: Demystifying AI

  • What is the definition of AI?
  • Distinguishing between hype and reality to understanding what is truly possible
  • Connecting the dots between what is possible and the impact it can have on your business
  • Making it a reality – how can the latest machine learning techniques such as video analytics, image detection and NLP be applied in Enterprise?

10:15AM

Keynote: 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

Neworking Break

AI Driven Enterprise

11:45AM

Keynote: Creating an AI Powered organisation

  • Achieving organisational change, changing mind-sets and attitudes
  • Hiring and maintaining talent
  • Developing employee skill sets and capability development

12:15PM

Keynote: 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

Operationalising AI

02:15PM

Ram Peddu

Senior Vice President, Head of Advanced Analytics

Citizens Bank

Associated Talks:

02:15PM - Day 1

View Presentation: Advanced Analytics transformation using data lake and Machine Learning

02:15PM - Day 1

View Keynote: Advanced Analytics transformation using data lake and Machine Learning

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Keynote: Advanced Analytics transformation using data lake and Machine Learning

  • Data and Analytics transformation
  • People, Process and Technology
  • Transformation Journey
  • Key learnings
. Ram Peddu, Senior Vice President, Head of Advanced Analytics, Citizens Bank

02:45PM

Keynote: 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

Bjorn Austraat

SVP, AI Enterprise Solutions

Wells Fargo

Associated Talks:

03:15PM - Day 1

View Keynote: Value Realization Strategy in AI: picking winning AI projects and maximizing business results

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Keynote: Value Realization Strategy in AI: picking winning AI projects and maximizing business results

  • Macro strategies: top line and bottom line strategies, horizon 1, 2, and 3 focus
  • Project prioritization: the 4 key ingredients for AI success
  • AI organizational maturity and value realization strategy: evolving from “venture funded” to “ benefits centric” to “budget impact”
  • Value realization tracking: instrumentation, A/B testing, proof of value
. Bjorn Austraat, SVP, AI Enterprise Solutions, Wells Fargo

03:45PM

Networking Break

04:15PM

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

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

Enterprise AI: Chairs Closing Remarks

05:30PM

End of Session

Networking Party | 6pm-10pm | Levi’s Stadium

An evening of networking on Wednesday 4th November 2020 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 -

08:30AM

Registration OPens

10:00AM

Enterprise AI Day 2: Chair’s Opening Remarks 

AI For Driving Customer Interactions, Engagement & Retention

09:45AM

Keynote: Transforming the shopping experience with ML

  • Behind the scenes look at deep-learning based behavioural analytics and prediction engines
  • The ups-and-downs of product, category and promotional recommendations of FMCGs
  • Learning from the failures along the way.
  • Predicting customer buying patterns

10:15AM

Keynote: 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

Olga Patel

Principal Technical Architect | Emerging Technologies & Digital

The Walt Disney Company

Associated Talks:

10:45AM - Day 2

View Panel: AI for customer experience

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Sunanda Parthasarathy

Assoc. Dir. Data Science | Algorithms | Machine Learning

Wayfair

Associated Talks:

10:45AM - Day 2

View Panel: AI for customer experience

View Full Info

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
. Olga Patel, Principal Technical Architect | Emerging Technologies & Digital, The Walt Disney Company
. Sunanda Parthasarathy, Assoc. Dir. Data Science | Algorithms | Machine Learning, Wayfair

11:15AM

Networking Break

11:45AM

Keynote: 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
  • Real life examples from a digital transformation journey

12:15PM

Keynote: 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
  • Lesson 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

01:15PM

Networking Break

02:45PM

Keynote: 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

Dr. Krishnan Ganapathy

Vice President, Engineering of the US R&D Centre

Flipkart

Associated Talks:

03:15PM - Day 2

View Case study: Leveraging Multi-language conversational commerce to reach over 100m Consumers

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Case study: Leveraging Multi-language conversational commerce to reach over 100m Consumers

  • How is Flipkart using cutting edge AI/ ML techniques to assist users in the discovery, research and purchase of products.
  • Strategies for implementation
  • Improving response rates and growing customer loyalty
  • What were the successes and failures?
. Dr. Krishnan Ganapathy, Vice President, Engineering of the US R&D Centre, Flipkart

03:45PM

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

Enterprise AI day 2: Chair’s Closing Remarks

04:30PM

Session Close

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