Artificial Intelligence (AI) has become mainstream and is fueling more and more aspects of businesses and day-to-day life.
Beyond the hype, the question is how data-driven innovation can be brought to life and put in action to resolve real business problems. What steps are needed to move AI out of the lab and into business operations to realize the desired outcomes?
The challenge resides in complex IT landscapes, departmental siloes, and the ability to deploy analytics where needed.
An analytics platform supports and accelerates the entire Analytics Lifecycle from Data to Discovery and Deployment. To succeed with AI, organizations must be able to orchestrate and govern their analytics ecosystem through the entire Analytics Lifecycle.
Come learn how to enable Business, IT and data scientist to collaborate in transforming data into actionable insight and business value, with the right balance between choice and control.
Successful execution of an analytics, and thereby AI strategy, needs the right balance of choice and control.
Choice
Creativity and innovation flourish in open spaces. You need flexibility and freedom to attract the best analytical talent, use a wide variety of techniques and develop processes that work best. You need the flexibility to use multiple programming languages and analyze any data in any environment and to keep up with accelerating demands.
Control
Analytics chaos can creep up. Once you lose control of your data, you lose trust in the system and its outputs. Transparency, governance and security become essential for maintaining trust in models and analytical results. Becoming even more critical as you scale development, monitoring and refinement of analytics applications and their associated processes.
At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.
Sponsor
Keynote Speakers
Customer Cases Speakers
- Manolis Syllignakis Head of Retail Banking Customer Analytics & Campaigns, National Bank of Greece
- Stamatis Karathanasis Director of Professional Services, Analytical View
- Nikos Maroulianakis Head of Enterprise Data Management & Infrastructure, INTERAMERICAN
- Andreas Kitsios Sr Business Solutions Manager - Fraud and Security Intelligence, SAS Greece and Eastern Europe
- Sebastian Dziadkowiec Manager – Accenture Poland
Agenda
There's no fee for the participation. Registration is required to attend.
09:00 – 09:30 | Registration & Morning Coffee |
09:30 – 09:40 | Welcome Speech Nikos Peppas, General Manager Greece & Eastern Europe - SAS |
09:40 – 10:30 | A story about getting AI out of the lab and into the real world
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10:30 - 10:50 | Driving innovation with Advanced Analytics & Machine Learning: Traffic Forecasting, Capacity Planning, Capex Monetization in the Network
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10:50 - 11:10 | Robotic Process Automation - A Path to AI
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11:10 - 11:30 | Bringing Customer Analytics at the next level at National Bank of Greece
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11:30 – 11:50 | Coffee Break |
11:50 – 12:10 |
Nikos Maroulianakis, IT Manager - Interamerican |
12:10 - 12:30 | Successful Antifraud Journey with Advanced Analytics - based on cases of leading European Banks
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12:30 - 12:50 | Customer Intelligence in action: personalizing every step of the customer journey
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12:50 - 13:05 | Humanity, Ethics & AI
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13:05 – 13:20 | Coffee Break |
Panel Discussion: The dynamic of Analytics and the Emerging Role of AI in a fast changing world | |
13:20 – 14:20 |
Moderator: Gerasimos Ntouskas, Director, Head of Data & Analytics - KPMG Cyprus |
14:20 | Lunch & Meet the Experts Session |
Meet the Speakers & Experts in 1to1 Meetings | 09:30 -15:00
Choose one of the Experts from the list below, based on the Topic you are interested in & gain insights in 1to1 Meetings on Impact of Analytics. The meetings will be held during the day.
Register now for this event
Why attend?
Learn what is needed to orchestrate the new age of analytics – from data wrangling – through to tangible business results. During the session you will take away how to:
- Orchestrate an innovation-first and expanding analytics ecosystem
- Promote collaboration of your talents across business, IT and technical roles
- Scale and automate repeatable processes to keep pace with changing demands through your Analytics Lifecycle
- Maintain the right balance between choice and control
- Scale AI projects to enterprise wide availability leveraging cloud technology and considering compliance and ethics.
- Interpretability, trust and governance of data regardless the source
There's no fee for the participation. Registration is required to attend.
This event is no longer available for registration.