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Visualizing Our Emerging Future – Revised

#artificialintelligence

As our emerging future shifts continuously, our challenge is to shift with it. The number of building blocks that combine continues to explode, challenging our ability to track its complexity. I've used a visual representation of this challenge – and I see older versions floating around – so I am updating it via this post. When I use the visual in presentations, I build towards it to avoid its overwhelming nature (which I believe accurately reflects the overwhelming nature of the challenge). I will replicate the approach here by building towards the full visual.


A Future Thinking Canvas

#artificialintelligence

Our exponential pace is due in part to the overwhelming number of building blocks available to innovate. Understanding how these building blocks combine provides a glimpse into possible futures. In this visual, dots connect to portray the building blocks that are likely to extend our healthy lives – a key emerging future scenario. A different type of canvas is required to iterate with this emerging future in a way that makes it actionable. The convergence occurring across the sciences, technology, economics, society, ethics, and politics is amplifying both speed and impact.


Technology, Social Change, and Future Scenarios

#artificialintelligence

If we are to Think about the Future in a way that helps us thrive in that future, we must excel at connecting dots. I developed the Future Scenarios visual in an attempt to help visualize the dots, as well as the various intersections that amplify the impact of those dots. In parallel with this scenario view, I have looked at various aspects of social change that both influence and impact these scenarios – and vice versa – but until now, those views were separate. Convergence is occurring not just across the technology and future scenario curves, but also the various aspects of social change. So in the interest of maximizing future thinking impact, I have combined the two views and will describe a connecting the dots scenario.


Synechron launches AI data science accelerators for FS firms

#artificialintelligence

These four new solution accelerators help financial services and insurance firms solve complex business challenges by discovering meaningful relationships between events that impact one another (correlation) and cause a future event to happen (causation). Following the success of Synechron's AI Automation Program – Neo, Synechron's AI Data Science experts have developed a powerful set of accelerators that allow financial firms to address business challenges related to investment research generation, predicting the next best action to take with a wealth management client, high-priority customer complaints, and better predicting credit risk related to mortgage lending. The Accelerators combine Natural Language Processing (NLP), Deep Learning algorithms and Data Science to solve the complex business challenges and rely on a powerful Spark and Hadoop platform to ingest and run correlations across massive amounts of data to test hypotheses and predict future outcomes. The Data Science Accelerators are the fifth Accelerator program Synechron has launched in the last two years through its Financial Innovation Labs (FinLabs), which are operating in 11 key global financial markets across North America, Europe, Middle East and APAC; including: New York, Charlotte, Fort Lauderdale, London, Paris, Amsterdam, Serbia, Dubai, Pune, Bangalore and Hyderabad. With this, Synechron's Global Accelerator programs now includes over 50 Accelerators for: Blockchain, AI Automation, InsurTech, RegTech, and AI Data Science and a dedicated team of over 300 employees globally.


The underestimated impact of the convergence of AI, IoT and big data

@machinelearnbot

For years many of us have been paying attention to the ways that several technological realities such as the Internet of Things, big data and artificial intelligence (AI) are impacting organizations across numerous industries, applications and areas. When we looked at the several technologies in the SMAC stack (social, mobile, analytics and cloud) or IDC's core 3rd platform technologies we looked at them separately but also in their combinations and interlinked value as they powered new next generation applications. It seemed pretty obvious that cloud services, big data/analytics, mobility (mobile devices, apps and broadband) and social (business) were fully intertwined ever since we started writing about that third platform, which IDC presented back in 2011. In that sense of intertwining the same goes for the second platform and its many technologies in areas such as local area networks, the client-server model, personal computers, the Internet and so forth. And in case we forgot that these technology-driven realities, as well as their real underlying technologies (there is no such things as one social business technology, mobile technology or even cloud technology) had little value and impact as such, Gartner reminded us that it was the convergence of mobile, social, cloud and information which enabled digital business through what the research firm called The Nexus of Forces.