Making the Most of Exponential Technologies in Financial Reporting
Tadd Morganti, MD, Finance & Enterprise Performance, Deloitte Consulting LLP
From the Chief Information Officer to the Chief Innovation Officer: Leading the Digital Transformation
Bjoern Goerke, CIO, SAP AG
It Is about Having the Right Safety Mechanisms
Patricia Titus, CIO, Markel Corporation
5 Must Dos for a Successful Enterprise Asset Management Solution
Bill Kloster, CIO, Short Elliott Hendrickson (SEH®) Inc.
Algorithmic or algo trading became popular following the computerization of trading in American financial markets in the 1970s. Since then, stock exchanges have witnessed innovative electronic trading trends. In recent years, the practice of do-it-yourself algorithm trading has become widespread. Today, hedge funds are crowdsourcing algorithms from amateur programmers for writing the most profitable code. The practice has been made possible due to high-speed Internet and the development of new generation computers at relatively cheap prices. Appropriate computer software is very important to ensure accurate and effective execution of the trade orders.
Dr. Scott Zoldi, Chief Analytics Officer, FICO
Data doesn’t sit still; it’s constantly moving and growing. We know there’s valuable intelligence to be extracted from this data, which has led to the current boom in business analytics and related technologies, particularly machine learning.
Karen Whitt, US President-Investor Services & Real Estate Management Services, Colliers International [NASDAQ:CIGI]
The U.S. commercial property market remains formidable, representing 38 percent of all global commercial property transactions.
Mike Marusic, COO, Sharp Electronics Corporation
Technology used to be a complicated web, with physical wires connecting a computer to the internet, a printer, or any peripheral.
Frank LaQuinta, Head of Global Application Delivery, UBS
In 2014, UBS's Group Technology (GT) organization embarked on a wide ranging technology transformation. The key drivers and challenges came from balancing the demand for regulatory and strategic change, alongside cost optimization .
Stephen Cooper, Head of Technology, Liquidnet
Investment in service orientated architecture needs to be carefully managed to avoid being saddled with barriers and duplication across platforms.
William Paiva, Partner, Oklahoma Life Science Fund
Today, forward-thinking technology leaders are focused on the more value-added assignment of engaging the client.
Ned Borgstrom, Jr., Former CFO, El Camino Hospital
A recent industry conference called Healthcare Consumerism Symposium highlights the rapid change that is happening within the healthcare industry.
JD Choi, CEO, Tax Technologies, Inc.
Similar to financial data collection and reporting software, corporate income tax software should provide transformative functions.
Ken Barnes, SVP, Corporate Development, Options IT
Technologies relevant to the financial services community come and go with varying degrees of signal to noise, and of course more often than not skew towards the latter end of that spectrum.
Seth Dobrin, VP & Chief Data Officer, IBM Analytics
Employees at every level should consider each aspect of the business as a source for data, and its CDOs as the drivers who implement this mindset.
Ritesh Ramesh, Data and Analytics Leader, Consumer Markets Vertical, PricewaterhouseCoopers (PwC)
As Data, AI, Machine Learning becomes more pervasive in our daily lives, enterprises can easily get distracted by technology innovations.