“I want you to think about data as the next natural resource.” GINNI ROMETTY - CEO of IBM, 2013
Big Data is revolutionizing how intelligence is stored and informative analysis can be drawn. The advent of the hyper connected digital economy is creating a new economy where data is the new commodity. The increase in computing power, especially in processing and storing capabilities, has made data widely available and accessible to companies for analysis. Generating value from data is enabling organizations to develop better products and services, market those offerings more effectively to their customer base and implement new efficiencies which lower costs. Leveraging big data analytics is no longer considered a novel approach for decision-making, but an important strategy for organizations to raise their competitiveness and survive in today’s interconnected global markets.
The big data revolution is occurring at a time of hyper connectivity, where millions of network sensors are being integrated into the physical world, allowing the collection of trillions of information bytes. The Internet of Things (IoT) ecosystem, which describes the extension of the internet to the physical world through rooted embedded technology, feeds directly into big data by enabling the collection of even more information. Consumers benefit immensely from this in the area of e-commerce, retailing, telecommunication, utilities, financial services, healthcare or manufacturing.
Nonetheless, this also opens up new doors to many more ways how to misuse the generated information which is derived through big data. Increasingly sophisticated cyber threats from cyber criminals, insiders, hacktivists, terrorists and nation states for financial gains, competitive advantages or political purposes are becoming more frequent. This poses serious challenges for the private-, public- and non-profit sector. Prevention and detection methods have largely proven to be ineffective against increasingly sophisticated assaults. Numerous organizations do not possess the knowledge or do not have the resources to combat highly skilled and aggressive cybercriminals.
The recent developments in Big Data & Cybersecurity offer a great occasion to discuss between Canadian and German experts how to take advantage of the arising opportunities and how threats are effectively encountered.
Please join us at our Berlin conference, where experts from Germany and Canada will discuss the newest developments in AI & Digital Healthcare.
Date: March 28, 2019
Where: Canadian Embassy, Leipziger Pl. 17, 10117 Berlin, Germany
Time: 9:00 AM till 2:30 PM
09:00 AM - Registration
09:30 AM - Welcoming Remarks
09:40 AM - Industry Presentations
10:40 AM - Panel 1: Big Health Data: Building a Health Database for Effective AI Usage
11:25 AM - Coffee Break
11:40 AM - Panel 2: AI & Pattern Recognition: Prevention to Prediction in Healthcare
12:30 PM - Panel 3: Do-It-Yourself Diagnostics in Healthcare: Perspectives from the 4th Industrial (Tech)-Revolution
1:20 PM - Networking Lunch
Please join us at our conference in Ottawa, where experts from Germany and Canada will discuss the newest developments in Big Data & Cybersecurity.
Note: please be aware that there might be minor changes to some parts of the conference program
Facing the big data revolution - Are Canada and Germany ready?
Cyber hacking and its threat to successfully progressing towards fully autonomously driving vehicles
Bridging the skill gap - How can the education system satisfy big data & cybersecurity industry demand?
08:30 AM - Registration
09:00 AM - Welcoming speech
09:15 AM - Industry overview
10:00 AM - Workshop 1: AI applications in online marketing – How will AI impact and shape consumer behavior?
11:10 AM - Coffee break
11:20 AM - Workshop 2: Image recognition technology and AI – What are future possibilities, opportunities and challenges?
12:30 PM - Lunch Break & Networking Event
1:10 PM - Workshop 3: AI automation and employee replacement – What precautions can be taken to avoid sector specific unemployment?
2:20 PM - Key Takeaways
2:30 PM - Networking Opportunity
3:00 PM - End of Event
08:00 AM - Registration
08:20 AM - Official Start and Welcome Remarks
08:25 AM - Industry overview
9:10 AM - Panel Discussion 1: Human-Machine Interaction
10:00 AM - Coffee break 1
10:10 AM - Panel Discussion 2: AI & Ethics
11:00 AM - Coffee break 2
11:10 AM - Panel Discussion 3: Improving Energy Efficiency through AI
12:00 PM - Key Takeaways
12:10 PM - Networking Lunch
1:00 PM - End of Event