Day 1

28 November 2018

AI in the Enterprise

Gartner predict that by 2021, 40% of new enterprise applications will include AI Technologies. AI and Machine Learning promise to solve a plethora of problems faced by enterprises today, from better decision making to increased efficiencies and cost savings, there seems to be an algorithm to solve it all. This session cuts through the hype to look at real-life case studies to see how AI is being applied by leading organisations.


AI in the Enterprise: Chair’s Welcome

Ronald Schmelzer

Senior Analyst


Associated Talks:

09:15AM - Day 1

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. Ronald Schmelzer, Senior Analyst, Cognilytica


Keynote: AI Powering Digital Transformation

Senior Representative, SAS

Associated Talks:

12:45PM - Day 2

View Panel: AI Transforming Healthcare

10:30AM - Day 1

View Keynote: Information is Everything

09:30AM - Day 1

View Keynote: AI Powering Digital Transformation

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  • Is your organisation ready for AI and digital transformation?
  • Why should you embrace AI?
  • Challenges faced by Enterprises using new deep learning and ML technologies
  • Humans and AI working together – creating an AI culture and developing trust within the organisation
. Senior Representative, SAS, ,


Frameworks for Data Driven Business Decisions

  • How will machine intelligence impact business?
  • Challenges and opportunities for investing in AI
  • The benefits of adopting Business Intelligence analysis to support both strategic and tactical decision-making processes


Keynote Panel: Building an AI Strategy for Enterprise

Kathleen Walch

Senior Analyst


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  • How are large companies deploying AI and machine learning?
  • How will AI redefine management strategies & make your business smarter
  • The latest updates and use cases in enterprise workflows
  • Selection & appointment of your tech platform
  • Measuring ROI and scaling AI projects
Moderator: . Kathleen Walch, Senior Analyst, Cognilytica


Networking Break


The Implications of AI on Legal Frameworks, Society, and Regulatory Issues

  • How will AI impact on legal frameworks, and the transformation of society?
  • Examining privacy laws, personal consent, and the scale an impact of machine decisions
  • Should law firms see this technical advancement as an opportunity or threat
  • The impact of Smart Apps on the legal sector


Case Study: The Role of AI in the Workplace

  • Discussing the role of AI in the present and future workplace for tasks such as recruitment, talent development and HR operations
  • What will the impact of a AI based workforce be on the future of the human workforce?
  • Examples of using chatbots and other AI technologies within the modern workplace to improve processes from across Enterprise


Panel: The Application of Deep Learning Within an Enterprise

  • How are large organisations deploying machine learning & data?
  • Is your organisation ready for machine learning and when should you use it?
  • Effectively using Deep Learning to gain competitive advantage and drive better customer experiences
  • What organisational challenges does implementing deep learning bring up?


Networking Lunch


Afternoon Keynote: AI for Everyone

  • What are the barriers to entry for companies wanting to use AI within their businesses
  • How important is transparency of data and ML scoring for enterprises wanting to start using AI?
  • Discussing the current lack of people/expertise available to create AI systems and the impact this will have on creating AI for everyone


Machine Learning to Improve Operational Efficiency and Reduce Costs

  • A look at the automated enterprise
  • How, when and where can RPA be introduced to benefit your business


Case Study: Industrial AI & DML

We explore the successful implementation of AI & DML within the industrial sector

  • Key Learnings & Strategies
  • Opportunities and Challenges
  • Tools & Techniques


Networking Break


Machine Learning – Privacy, Security Threats and the Implications

  • Identify the potential implications of AI cyber threats
  • Infrastructure and processes for successfully defending again cyber threats
  • How to adopt data science to combat fraud


Panel: AI for Social Good

  • How is AI being successfully applied to challenge problems
  • What are the potential uses of AI across various sectors that are essential for social good
  • AI’s impact across Urban Computing, Health, Environmental Sustainability and Public Welfare


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