BIG DATA & ANALYTICS FOR BANKING SUMMIT, New York, 1 Dec 2015.
Keynote address: "How Predictive Analytics will change the Financial Services Sector”
Speaker : Lars Hamberg
http://www.specialistspeakers.com/?p=8367
Overview & Outlook: Why Big Data will over-deliver on its hype and transform Financial Services; Use cases with Advanced Analytics and Big Data Analytics in Financial Services, in Production & Distribution of banking products; new opportunities for incumbents in tomorrow’s ecosystem; big data, bigdata, analytics, smart data, data analytics, digitization, digitalization, predictive analytics, sentiment analysis, financial services, banking, asset management, distribution, retail, trading, technology, innovation, fintech, wealth, asset management, investment industry, robo advisory, social investing, behavior, profiling, client segmentation, alias matching, semantic memory models, unstructured data, machine learning, pattern recognition
7. general blur ?
buzzwords and distinction?
big
data
analy'cs
or
advanced
analy'cs
?
predic've
analy'cs
or
big
data
predic've
analy'cs
?
machine
learning
?
8.
modern companies
want to know everything – what about banks?
structured
data
advanced
analy'cs
staying
ahead
of
the
connected
clients
predic've
analy'cs
machine
learning
24. Confluence of trends
1. Data explosion - 24m doubling rate
2. Smartphone user behavior – 150x/day
25. Confluence of trends
1. Data explosion - 24m doubling rate
2. Smartphone user behavior – 150x/day
3. Breakthrough technologies: Machines
are learning to ”read and understand”
unstructured data on a large scale
26. Confluence of trends
1. Data explosion - 24m doubling rate
2. Smartphone user behavior – 150x/day
3. Breakthrough technologies: Machines
are learning to ”read and understand”
unstructured data on a large scale (!)
27. Confluence of trends
= the necessary conditions for
Big Data to deliver - and even
”over-deliver” - on its hype and
to transform many industries,
including the Investment
Industry
42. Use cases from financial industry
Distribution of investment products with
massive increases in profitability – Task &
Question
Common denominators for success
Common denominators for failure
43. Use cases from financial industry
Production of investment products –
alpha creation with big data predictive
analytics – Task & Question
Common denominators for success
Common denominators for failure
46. Key take-aways:
Big Data has so far failed to deliver on its promise/hype – BUT
will over-deliver on its hype: Unsupervised, learning, scalable,
systems that understand the Big Data stack of language data,
enabling useful sentiment analysis and useful prediction
analytics on vast amounts of data
Predictive analytics, profiling, alias matching – use cases show
huge potential for disrupting most industries…Expect a
transformative shift in competitive landscape across most
industries – including banking
Banks – expect margin pressure, use case success stories in
analytics & opportunities for incumbents in and outside “non-
bank services” – uniquely positioned as distribution partners
Everybody can be a winner in this imminent shift – get involved
in advanced data analytics!