2020 Tech Trend Report
A Platform for Business Transformation
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Contributors
- Jeff Linnell, CEO at Formant Inc.
- Peter Wittek, Rotman School of Management, University of Toronto and Founding Academic Director, CDL Quantum Stream
- Doug Heintzman, a member of the Board of Directors at MaRS Innovation
- Sascha Darius Mojtahedi, CEO of BUNZ
- Nick Brackney, product marketing director, Dell EMC
- Gary Brown, director of AI marketing, Intel
- Charles Walton, senior vice president, Digital Identity, Cyber & Intelligence Solutions, Mastercard
- Simon Drexler, SuperTrak growth lead, ATS
- Christopher Taylor, Vice President of Product Management and Business Development, TeraGo
- Duncan McGregor, Vice President of Operations and Engineering, TeraGo
Your Challenge
Learn how four key trends in 2020 require businesses to find their place in an AI-driven ecosystem:
- From the competitive cloud to the autonomous edge
- From robotic automation to symbiotic robots
- If deep learning, then distributed trust
- If digital ethics, then data equity
Our Advice
Critical Insight
With AI influencing business processes, everything is on the table for automation or augmentation.
Impact and Result
Understand how four key trends will impact “leadership in the loop" and generate human benefits:
- Autonomous edge will impact input
- Symbiotic robots will impact process
- Distributed trust will impact control
- Data equity will be the output
Start here – read the Executive Brief
In 2020, AI is going to accelerate technological change. Everything is on the table for automation or augmentation. Every business must evolve its strategy as a result. IT leaders are being asked to focus on driving that transformation.
1. From the competitive cloud to autonomous edge
With 94% of IT professionals reporting that their company is using cloud computing, the competitive advantage to be gained from technology projects is shifting towards greater capability at the edge.
2. From robotic automation to symbiotic robots
Many tasks that used to be performed by people are now fully automated by machines in controlled settings. The next phase of robotics will see them entering into other industries and working alongside humans to offer augmentation.
3. If deep learning, then distributed trust
Trust in traditional institutions continues to decline and is rendering large organizations vulnerable to disruption. AI is also presenting new threats to trust with the emergence of deepfakes. The answer may be a new decentralized model of trust.
4. If digital ethics, then data equity
If you're not paying for the product, you are the product. The outcry against data-scraping business models is getting results and highlighting the need to return data control to the user.
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