Enterprise AI - Big Data - Data-driven Culture - Data Science - Data Analytics - Data Storage
Day 1 - 4 November 2020
Defining & Demystifying AI
Enterprise AI: Chairs Opening Remarks
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?
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
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?
AI Driven Enterprise
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
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
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
Keynote: 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
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
Keynote: 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
Keynote: DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed
Panel: The challenge of operationalising AI
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.
Enterprise AI: Chairs Closing Remarks
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 -
Enterprise AI Day 2: Chair’s Opening Remarks
AI For Driving Customer Interactions, Engagement & Retention
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
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
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
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
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
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
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.
Keynote: 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
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.