The Festival of Big Data and Cloud Computing is the must attend webinar series aimed at professionals who operate in the public or private sector involved in building, designing, or managing an organisation’s technology and data systems. Gather gems of knowledge and access world-class content covering multiple industries, including: Finance, Retail, Law, Transport, Accountancy, Energy and many more.

All webinars are FREE for you to watch on-demand, simply click on the sessions that are of interest to you and register below.

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September 01, 2020
  1. 80 mins
    • Big Data
    • Cloud Computing

    AVAILABLE ON DEMAND

    Festival of Data & Cloud Launch – introducing the Webinar series!

    • Explore all the techniques and strategies global companies are utilising to bring their company into the future of Big Data & Cloud Computing
    • Learn about the newest tech products in AI, Big Data, Cloud Computing and more
    • Create a business culture which nurtures innovation and productivity
       

    Panel Discussion: The Future of AI in the Enterprise

    • Using AI with Big Data to predict customer trends
    • Learn how AI tools are adapting to changes in the data environment
    • The revolution of AI and the changes that will be applied


    Panellists:

    Michele Usuelli, Principal Data Scientist - Microsoft
    Ayman Husain, Director, Customer Success, Intelligent Cloud & Digital Transformation - Microsoft
    Nyla Worker, Data Scientist - NVIDIA
    Jorvik Zhang, Regional Director of Northern Europe - Tencent Cloud
    Lydia Lawal, Senior Data Scientist - Brown Brothers Harriman

    WATCH ON DEMAND

September 03, 2020
  1. 100 mins
    • Big Data

    AVAILABLE ON DEMAND

    Presentation: Creating Business Value with Data Science Products (with a Focus on the Combination of Crisp DM and Scrum)

    • Fundamentals of Scrum & Crisp DM
    • The roles of Product Owner, Scrum Master & Technical Lead
    • Product working in the Data Science space
    • From products to the platform
    • Solving the Business Values equation
    • Why Augmented and not Artificial intelligence


    Speaker:
    Stylianos Taxidis, Head of Data Science & Products - CDP


    Panel Discussion: Creating a Data-Driven Culture

    How you can create tools to enable the data-driven depiction, making and breaking myths of tacit knowledge and intuition through hypothesis testing.

    Moderator: 
    Jason Krantz, Founder and CEO - Strategy Titan

    Panellists:
    Stylianos Taxidis, Head of Data Science & Products - CDP
    Pratim Das, Head of Solutions Architecture  - Microsoft
     


    Panel Discussion: Our Digital Transformation Journey

    • Effective data cleansing practices to optimise analysis and inform strategy
    • The benefits, pitfalls and challenges of digital transformation 
    • How COVID-19 has accelerated digital transformation efforts
    • The need for practical analytical solutions to get solutions off the ground
    • Don’t do coll machine learning for the sake of machine learning. What problem are you trying to solve
    • Applications of data analytics to planning civil infrastructure


    Moderator: 
    Ritesh Jain, COO | CTO | Former COO - Digital Tech Foundation 

    Panellists:
    Yann Barbarroux, Director, Global Markets Risk Manager | CEO, Head of Analytics - Citi | Flyion
    Roshini Johri, Founder, London Chapter - Women in Machine Learning & Data Science
    Prithvi Chourdhury, Director of Product Management - Appen
    Mike Jaron, Senior Data Scientist - Citi


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September 08, 2020
  1. 80 mins
    • Cloud Computing

    AVAILABLE ON DEMAND

    Presentation: Feature Extraction for National Language Understanding

    • The major limitation while working with free-flowing text is extracting the features for further processing. That is true for any unstructured data such as speech, digital images, etc. 
    • Since the 'Imagenet moment' of Natural Language Processing, feature extraction has stepped up to another level. 
    • Feature extraction can be thought of as the bridge between NLP and standard Machine Learning practices. In other words, careful feature extraction can enable standard ML practices to solve NLP tasks. 


    Speaker:
    Arighna Roy, Senior Data Scientist


    Panel Discussion: Migration, Migration, Migration

    • Why migrating to the Microsoft Cloud or Google Cloud will help banks and large enterprises thrive  
    • First-class cloud migration strategies from leading practitioners  
    • Understanding the benefits for going 100% cloud:  
      • Return on Investment,  
      • Increasing Productivity and Enhancing Employee Experience 
      • Boosting Security and Data Governance 

     

    Moderator
    James Clifford, Director, EMEA Sales - BitTitan

    Speakers:
    Ritesh Jain, COO | CTO | Former COO - Digital Tech Foundation - HSBC
    James Corbishley, Sr. Technical Sales Specialist -  BitTitan
    Thomas Strasser, Global Chief Technologist – Digital Workplace - HPE
    Steve Wedge, Digital Transformation Programme Director - QSP Global


    Presentation: Cloud models for IoT Solutions

    • Define Internet of Things
    • High level IoT Architecture
    • IoT solutions based on IaaS, PaaS and SaaS cloud models


    Speaker:
    Gaurav Awasthi, Senior Technology Architect - Bell


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September 10, 2020
  1. 80 mins
    • Cloud Computing

    AVAILABLE ON DEMAND

    Panel Discussion: Embedding Technology into Organisations for Business Growth

    • The inevitable future of AI in the healthcare industry
    • Deliver better results quickly with optimised DevOps
    • Using data science to better inform business strategy
       

    Panellists:
    Fan Yang, Senior Data Scientist - Criteo
    Duncan Clubb, Senior Director IT - CBRE
    Rajarshi Roychowdhury - Senior Data Scientist, Johnson & Johnson
    Irene Iriarte Carretero, Senior Data Scientist - Gousto
    Pan Wu, Data Science Manager - LinkedIn
    Dong Zhang, Data Scientist - IBM


    Presentation: Cloud at The Edge

    • What is the edge and why is it important?
    • What will cloud services look like at the edge?
    • How are the cloud companies delivering edge services?
    • What are the opportunities for enterprise users?


    Speaker:
    Duncan Clubb, Senior Director IT - CBRE


    Panel Discussion: How We Are Using Data to Drive Business

    • Big Data and AI will become the biggest marketing asset your business has
    • Steps to building a successful e-commerce strategy
    • Using data footprints to predict behaviour and drive customer retention


    Panellists:
    Anirban Nandy, Lead Data Scientist - HSBC
    Preethi Bojja, Senior Data Scientist - Comcast
    Irene Iriarte Carretero, Senior Data Scientist - Gousto
    Rajarshi Roychowdhury, Senior Data Scientist - Johnson & Johnson
    Min Kyoung Kang, Data Scientist - Microsoft

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September 15, 2020
  1. 120 mins
    • Big Data

    AVAILABLE ON DEMAND

    Panel Discussion: The Possibilities of Unlocked Data

    • The impact of algorithmic trading in banking
    • The value of IoT data analytics for your company
    • Intelligent automation paving the way for better customer service


    Moderator:
    Sam Nixson, COO - Meteomatics

    Panellists: 
    Martin Fengler, CEO - Meteomatics
    Samyak Jain, Software Developer/ Data Scientist - Citi
    Amit Das, Data Scientist - Novozymes
    Akshata Nayak, Credit Risk Quantitative Model Developer - UBS


    Presentation: Improving Customer Experience By Measuring Service Reliability Grade Using AI

    Speaker:
    Preethi Bojja, Senior Data Scientist  - Comcast


    Panel Discussion: Self-Service Data Analytics

    • Data visualisation tools that make data analytics accessible
    • How businesses can use the outcomes of data analytics to plan proactively


    Moderator:
    Nidhi Agrawal, Business Data Analyst - Standard Chartered Bank

    Panellists:
    Anirban Nandy, Lead Data Scientist - HSBC
    Kostas Perifanos, Former Director of Machine Learning - OakNorth
    Andrea Piro, Data Operations Manager - Maersk


    Presentation: Building AI/ML business and integrating ML/AI into existing business models

    • Successfully transforming businesses to the AI era 
    • Interacting with stakeholders: all the things you need to know to avoid failures  
    • Building, managing and maintaining happy and highly productive teams

     

    Speaker: 
    Kostas Perifanos, Former Director of Machine Learning - OakNorth


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September 17, 2020
  1. 120 mins
    • Big Data

    AVAILABLE ON DEMAND

    Panel Discussion: AI & Meaningful Data

    • Emerging trends every Data Scientist must know about
    • How digital health technology can foster an effective pandemic strategy
    • The role of AI and data in relaunching industries post pandemic


    Moderator:
    Architha Kishore, Data Scientist - DBS Bank

    Panellists: 

    Amin Sadri, Senior Data Scientist - ANZ
    Vladimir Iglovikov, Sr. Computer Vision Engineer - Lyft
    Arjun Panesar, Founder and Head of AI - Diabetes Digital Media
    Debjyoti Paul, Data Scientist - Amazon


    Presentation: Big Data to Big Impact: Redefining Type 2 Diabetes with Big Data and AI

    • Exploring how data of 450,000 people has redefined type 2 diabetes as not having to be a chronic and progressive disease
    • Examples of AI deployed in the real world and how it optimizes decisions and behaviors
    • Health and user outcomes of the world's highest ranked diabetes app


    Speaker: 
    Arjun Panesar, Founder and Head of AI - Diabetes Digital Media


    Presentation:  The Role of the Cloud in Making Autonomous Machines

    • The role of the cloud in making autonomous machines.
    • What goes into making an autonomous robot, showing the many places the cloud can be used.
    • The role of AI in robotics, specifically Deep Neural networks (DNNs).
    • Deep learning can be extremely useful for robotics as it enables robots to use DNNs that perform better than any current state-of-the-art traditional algorithms.
    • However, these DNNs are data-hungry and heavyweight where a lot of compute is needed.
    • How GPUs in the cloud and robots enable us to take advantage of the power of DNNs.


    Speaker: 
    Nyla Worker, Solutions Architect -  NVIDIA


    Presentation: Cultivating a business-first mindset in Data Warehouse migrations

    Traditional on-premise Data Warehouses were not designed to handle the explosive growth in data that we're seeing today. At Google Cloud, we are seeing our customers totally transform their businesses by migrating their on-premise Data Warehouse to the Cloud. They're not only managing the unprecedented data growth YoY, but also running Advanced Analytics/ML and scaling quickly and cost-effectively to meet the ever-changing business needs. In this session, we will share some of those best practices and discuss the massive benefits of cultivating a business-first mindset that can help transform your business.

    Speaker: 
    Rahul Garg, Principal Lead for Smart Analytics & AI - Google


     

    WATCH ON DEMAND

     

September 22, 2020
  1. 120 mins
    • Big Data

    AVAILABLE ON DEMAND

    Panel Discussion: Fast Data for Modern Business

    • The key to improving your Net Promoter Score (NPS)
    • Why it's crucial to strike a balance with AI and human intervention
    • Make better decisions faster by using analysis drawn on real-time data  


    Moderator:
    Rafid Morshedi, Senior Data Scientist/Engineer - WSP

    Speakers: 
    Alex Johnson, Principal Data Architect, APJ - Pure Storage
    Amin Sadri, Senior Data Scientist - ANZ
    Naveen Kaushik, Data Fluency Associate Instructor - Monash University
    Justin Barton, Senior Data Engineer – Wesfarmers
    Atithi Murali, Data Scientist – Telstra
    Gerald Hagen, Technology Architect - Foodstuffs


    Panel Discussion: Data & Responsible AI

    • How to maintain data ethics during a time of crisis
    • The ethical implications of applying AI to your business systems 
    • Identifying data bias and solutions to minimise it


    Moderator:
    Rajarshi Roychowdhury, Senior Data Scientist - Johnson & Johnson

    Panellists: 

    Sandeep Mathur, Program Manager - Transport for NSW
    Nidhi Agrawal, Business Data Analyst - Standard Chartered Bank
    Abhinav Gupta, Head of Channels- Data Analytics | Machine Learning, ASEAN - Amazon Web Services (AWS)
    Sandeep Shankar, Data Governance Strategy Lead – Flybuys
    Anthony Roe, Cognitive Enterprise Strategy Leader Industrial - IBM


     

    WATCH ON DEMAND 

September 24, 2020
  1. 100 mins
    • Big Data

    AVAILABLE ON DEMAND

    Exploring Data Cloud

    You’ve heard of the infrastructure cloud provided by AWS, Azure, and GCP because it has revolutionised the way organisations run the servers and tools that power their business. You’ve heard of the application cloud provided by companies such as Salesforce, Workday, and ServiceNow that’s brought the “front office” to the cloud. 

    As the adoption of both the infrastructure and application clouds has accelerated, businesses have been left with massive amounts of data spread across multiple different systems and cloud provider platforms. This has left them looking for a technology that enables them to un-silo, govern, and secure all of this private data and manage rapidly growing data workloads in the cloud. Snowflake, The Cloud Data Platform, is the technology that meets these needs by enabling the Data Cloud.

    Speaker: 
    Ross Perez, Senior Director, Marketing - EMEA - Snowflake


    Panel Discussion: Building a Data Analytics Team and Culture

    • Building a data infrastructure that your business will actually use
    • Improving data literacy across your organisation


    Moderator:
    Michele Usuelli, Data Scientist Consultant - Microsoft

    Panellists:
    Abhishek Mishra, Data Scientist - Walmart Labs
    Pavan Gahalot, Lead Data Scientist - HSBC
    Steven Eglinton, Director - BimEnable & GeoEnable
    Debjyoti Paul, Data Scientist - Amazon
    Kent Graziano, Chief Technical Evangelist  - Snowflake


    Presentation: Fair AI and Finding Biases in AI

    • Potential risk with AI models 
    • Finance and  Healthcare implications
    • What it takes to make a AI model work?
    • How to analyze the model
    • How it is sometime good to break the AI black box model approach, tools to do that- path for interpretable and adversarial ml
       

    Speaker: 
    Debjyoti Paul, Data Scientist 

    WATCH ON DEMAND 

September 29, 2020
  1. 120 mins
    • Cloud Computing

    AVAILABLE ON DEMAND

    Panel Discussion: Data as a Force for Good

    • Utilising data to build a smart city
    • Looking to AI as the solution to combat the climate crisis
    • Using data analytics to predict the need
    • Data in a pandemic - how ready were (are) we?
    • Ethics, Privacy and Data for Good

     

    Moderator:
    Pedro Rente Lourenco, Lead Researcher and Data Scientist - Vodafone

    Panellists:
    Mike Jaron, Senior Data Scientist - Citi Venture Studio
    Abdullah Alharbi, Supervisor Saudi Aramco Corporate Data Center - Saudi Aramco


    Panel Discussion: An Insight into Modern Analytics

    • The benefits and challenges faced with only using modern analytics
    • Key aspects to note when building a data analytics platform 


    Moderator:
    Nitin Nayak, Principal Data Scientist - IBM

    Panellists:

    Vibhu Jawa, Engineer and Data Scientist - NVIDIA
    Peter Appleby, Head of Data Science - Auto Trader UK
    Ali Raza, Senior Cloud Solutions Architect - Microsoft


    WATCH ON DEMAND


 

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