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.


Enterprise AI and Digital Transformation: Chair’s Welcome and opening comments

Ronald Schmelzer

Senior Analyst


Associated Talks:

09:15AM - Day 1

View Enterprise AI and Digital Transformation: Chair’s Welcome and opening comments

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. Ronald Schmelzer, Senior Analyst, Cognilytica


Opening Presentation: AI Landscape


Keynote: AI Powering Digital Transformation

Senior Representative, SAS

Associated Talks:

10:00AM - Day 1

View Keynote: AI Powering Digital Transformation

12:45PM - Day 2

View Panel: AI Transforming Healthcare

10:30AM - Day 1

View Keynote: Information is Everything

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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, ,


Panel: Driving Digital Transformation through AI & Deep Learning

Kathleen Walch

Senior Analyst


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• What are the fundamental buildings blocks needed for build a digital organisation using AI, ML & DL in terms of people, skills and tech?
• Discussing the role of other companies within the process, from start-ups to big ticket providers.
• Examining digital transformation from both industrial and business information perspectives.
• Real life examples of successful transformations from across Enterprise.

Moderator: . Kathleen Walch, Senior Analyst, Cognilytica


Networking Break


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


The road to AI Transformation

• Practicalities on how to start or continue your AI journey
• Which business problems to solve e.g. customer service, growth, operational efficiency, cost reduction and how to do it in a way that is responsive to future change
• How to drive change strategically and methodically when the technology is developing at an exponential rate
• How to leverage your data successfully
• Real life case study examples


Panel: Driving value from Enterprise AI

• What AI is and isn’t and how it is of use to business
• Examples of AI systems beyond machine learning and common errors made trying to extract value from AI systems
• A look at modern development practices and tools with examples of real life projects
• Rules for success in determining which projects to address and avoiding failure
• Building a stellar team and retaining talent


Networking Lunch


Keynote: An Automation Revolution

• The real impact of robotic process and cognitive automation on Enterprises
• Cases of multiple business benefits being delivered.
• How are organisations implementing and scaling automation projects? What are the challenges?
• Will the robots really take all the jobs? How can the workforce adapt?


Panel: The Cognitive Enterprise

• Is your business ready to be transformed by cognitive automation (CA) and robotic process automation (RPA)?
• Which processes are most suitable for CA / RPA?
• What business benefits are being delivered? What are the challenges?
• Timescales for adoption, investment, scaling automation projects
• Examples and best practices from Insurance, banking and energy


Case study: RPA and AI journey


AI Advances in process Automation


Networking Break


Solo: From deep learning to cognitive reasoning – a look at the strengths and weaknesses of different approaches to machine learning


Panel: Future Trends


Session Close

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