Explore the opportunities and challenges arising from the ongoing digital revolution in our work and personal lives.
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Redefining Enterprise Applications with Machine LearningNovember 16, 2018
Businesses have started to experiment with Machine Learning and develop solutions with promising business cases. Converging with technologies of Cloud, Mobile, IoT and Analytics together, it is setting the stage for future enterprise applications. Clear benefits of integrating Machine Learning into enterprise applications are smart business process, operation efficiency with preventive and prediction capability and improved decision making with deeper insights.…
AI and Enterprise Knowledge Integration: Part 3November 12, 2018
The starting point in Part 1 of this series was the fragmented “knowledge landscape” of most big companies. Information is everywhere but it mostly lives in autonomous silos, in different formats and suffers from “semantic incoherency”. This is a huge problem for extending the use of AI in business, beyond the many “narrow” (i.e. highly specific) tasks that Machine…
The future for cloud services in ScotlandNovember 8, 2018
Where would the world’s digital technology capabilities be without Scotland? This is an interesting question given the rich history of Scottish inventors whose work has, in some way, contributed to the development of the computing and communications that are now so pervasive in our lives. Notable individuals include John Napier and his revolutionary 17th-century manually operated computer known as…
Digital Varnish – why we have only started to scratch the surface of the digital revolutionNovember 5, 2018
As I gradually progressed through the airport security queue on my way to Paris the other day, I reflected on the real impact of digital technology. Why was it that even though I had a fully digital boarding pass on my smartphone, I still had to…
AI and Enterprise Knowledge Integration: Part 2November 5, 2018
The great Renaissance man Leonardo da Vinci once said: “Learn how to see. Realize that everything connects to everything else.” This mighty challenge is more or less where I left off in Part 1 of this blog. In most big companies, the “knowledge landscape” is fragmented. Data lives in autonomous silos, in various formats (databases, documents…) and suffers from…
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