Day 1 - 4 November 2020

10:30AM

(PST)

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?

Pre-recorded presentation 

10:50AM

(PST)

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

Pre-recorded presentation 

11:10AM

(PST)

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

Pre-recorded presentation 

11:30AM

(PST)

Creating an AI Powered organisation

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

Pre-recorded presentation 

11:50AM

(PST)

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

Live webinar panel 

12:40PM

(PST)

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

Pre-recorded presentation 

01:00PM

Lunch and Speed Networking on Grip

02:00PM

(PST)

Jared Coyle

Head of Innovation Experience Group

SAP

Associated Talks:

02:00PM - Day 1

View Becoming an Intelligent Enterprise

View Full Info

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

Pre-recorded presentation 

. Jared Coyle, Head of Innovation Experience Group, SAP

02:20PM

(PST)

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.

Pre-recorded presentation 

02:40PM

(PST)

Ram Peddu

Senior Vice President, Head of Advanced Analytics

Citizens Bank

Associated Talks:

01:00PM - Day 2

View Advanced Analytics transformation using data lake and Machine Learning

02:15PM - Day 1

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

02:40PM - Day 1

View Advanced Analytics transformation using data lake and Machine Learning

View Full Info

Advanced Analytics transformation using data lake and Machine Learning

  • Data and Analytics transformation
  • People, Process and Technology
  • Transformation Journey
  • Key learnings

Pre-recorded presentation 

. Ram Peddu, Senior Vice President, Head of Advanced Analytics, Citizens Bank

03:00PM

(PST)

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

Live presentation

03:50PM

(PST)

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

Pre-recorded presentation 

04:10PM

(PST)

Bjorn Austraat

SVP, AI Enterprise Solutions

Wells Fargo

Associated Talks:

10:20AM - Day 1

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

04:10PM - Day 1

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

View Full Info

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

Pre-recorded presentation 

. Bjorn Austraat, SVP, AI Enterprise Solutions, Wells Fargo

Day 2 -

10:30AM

(PST)

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

Pre-Recorded Presentation

10:50AM

(PST)

The new wave of AI hardware accelerators and what they mean for your organisation

  • Why GPUs are no longer the only game in town for AI hardware architectures
  • How the new capabilities of AI hardware are changing the game – how greater computational power leads to greater cost efficiency
  • Utilising edge computing and other new architectures
  • How to best address these initiatives when choosing your AI hardware partner

Pre-Recorded Presentation

11:10AM

(PST)

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

Pre-Recorded Presentation

11:30AM

(PST)

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.

Pre-recorded presentation 

11:50AM

(PST)

Olga Patel

Principal Technical Architect | Emerging Technologies & Digital

The Walt Disney Company

Associated Talks:

10:40AM - Day 1

View Panel: Big Data and AI for customer experience

11:50AM - Day 2

View Panel: Big Data and AI for customer experience

View Full Info

Sunanda Parthasarathy

Assoc. Dir. Data Science | Algorithms | Machine Learning

Wayfair

Associated Talks:

10:40AM - Day 1

View Panel: Big Data and AI for customer experience

11:50AM - Day 2

View Panel: Big Data and AI for customer experience

View Full Info

Panel: Big Data and AI for customer experience

  • How to leverage AI and Big Data technologies 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

Live webinar panel 

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

12:40PM

(PST)

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

Pre-recorded presentation 

01:00PM

Lunch and Speed Networking on Grip

02:00PM

(PST)

Becoming a Data Driven Company, Data at the Core of the Business Ecosystem

  • Making data the igniter of decision making: End to end processes with data (Product, Marketing, Sales, etc.).
  • Generating actionable insights from data to improve performance across business.
  • Installing a data-driven culture throughout the organisation.

02:20PM

(PST)

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

Pre-recorded presentation 

01:20PM

(PST)

Dr. Krishnan Ganapathy

Vice President, Engineering of the US R&D Centre

Flipkart

Associated Talks:

01:20PM - Day 1

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

View Full Info

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?

On- Demand presentation 

. Dr. Krishnan Ganapathy, Vice President, Engineering of the US R&D Centre, Flipkart

03:00PM

(PST)

Practical AI implementation and application

  • Generating business value from your AI applications
  • Building a governance framework
  • Ensuring ethical AI
  • Lesson from real world deployments

Live presentation

03:50PM

(PST)

Untangling unstructured data

  • A look at analytical methods and tools analyze unstructured data.
  • Analyzing unstructured data with semantics and NLP
  • What part does Deep Learning play in identifying patterns in unstructured data?

Pre-recorded presentation 

04:10PM

(PST)

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? 

Pre-recorded presentation