"Enabling the digital economy" is the theme for 2018, reflecting the fast reality of the digital world and the responsive transformation banks and other financial service providers are having to make; reappraising and reengineering their business models, service offerings and relationships with third parties. Learn more about the conference
Sibos 2018 takes place at ICC Sydney and is the 3rd time that the event will have been held in Sydney. Australia has a growing financial hub and is ranked fifth in the 2017 Index of Economic Freedom. World-class infrastructure, a thriving FinTech scene and an innovative financial sector provides the perfect setting for Sibos to turn 40. Learn more about the venue for Sibos 2018
Accrete.AI will be present at SIBOS 2018 in Sydney, from October 22nd, to showcase its wide range of services for financial institutions. Our senior leadership team are attending and will be available to provide insights into how to automate cognitive tasks that solve real-work problems and how you can stay ahead of financial markets. Backed by a strategic partnership with IBM that provides enterprise distribution, Accrete’s bias-free, contextually adaptive investment tools empower organizations to spend less time searching for insights and more time making informed decisions. BOOK A MEETING ->
Prashant is a recognized leader in using AI to amplify human expertise. Backed by a strategic partnership with IBM, Prashant launched Accrete to build a “super-human analyst” through the use of human expert networks and proprietary, patent pending deep learning and natural language processing technologies.
Joe is a former equities and derivatives trader with a penchant for the markets and establishing repeatable and scalable processes. Has a deep understanding of the value AI can bring to organization and how it can create new revenue streams.
Alex leads initiatives to grow client's businesses and has a strong analytical approach in utilizing Fintech to strategically launch new revenue directives. Alex holds degrees in Psychology and Markets & Management from Duke University, where he merged his experience together to search for cognitive biases in markets as well as in life.
14 Darling Drive, Sydney, NSW 2000
Tel: +61 2 9215 7100
Rumor Hound scrapes thousands of unstructured data sources in real-time, identifies rumors buried in the data, and provides a filtered list of rumored acquisition targets scored by recency and credibility
Topic Deltas reads earnings transcripts, compartmentalizes language into key topics and measures topical sentiment and importance over time
Data Distillery maps the supply chain and production facilities for specific companies, enabling you to rapidly analyze the potential impacts of geographically confined events on company operations
Rational Exuberance continuously scrapes 1000s of sources, measuring hawkishness/dovishness, finding divergences between Fed and market sentiment, and transforming divergences into trading alerts and policy forecasts with real-time confidence measures
The theme of Sibos 2018 is ‘Enabling the digital economy’ - split into 4 sub-themes.
Which will undoubtedly make for an interesting conference and we look forward to having some very in-depth and exciting discussions surrounding these thematics; especially concerning the role of AI in the financial sector, and how it can support the fast changing geopolitical and regulatory priorities around the world. Let's talk >>
On September 21, 2015, at 10:56 a.m., then-candidate for President Hillary Clinton tweeted about ‘price gouging’ in the specialty drug market. By 4 p.m. that day, the entire Biotech sector had tanked. The iShares Nasdaq Biotechnology ETF (IBB) – which had skyrocketed nearly 300% over the previous five years – sunk 5% in the five hours from Clinton tweet to closing bell. The nine biggest losers on the Nasdaq 100 that day were all Biotech stocks, and the Nasdaq plunged into the red on a positive day for most other sectors...
In December 2016, The Economist studied equity analyst ratings for all stocks in the S&P 500 index. According to the study, 49% of the ratings were "buy/outperform,” and 45% were "hold/neutral." Only 6% of all ratings for the S&P 500 in 2016 were "sell/underperform.” Yet during that same year, nearly half of all S&P 500 stocks underperformed the market index, and a full 30% were in the red.How did the analysts get it so wrong? Are they ill-equipped to properly research and analyze a given company, or is there another hidden factor at play?
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