[VIDEO] FINTECH FOCUS TV: David Midgett, CTO at Cloud9 Technologies

[VIDEO] FINTECH FOCUS TV: David Midgett, CTO at Cloud9 Technologies

Last year, our CAO, Brian Hunt joined Fintech Focus TV, where he examined voice trading during the remote working transition. In a recent Fintech Focus TV episode, our CTO, David Midgett offers an exclusive look at what Cloud9 has been up to since then. From exciting technological innovation and exceptional company growth to how voice trading and data capture technology have changed and why the cloud is no longer a “nice to have” but a “need to have” element of an institution’s infrastructure.

Voice Trading: The Last Frontier of Unstructured Data

Voice Trading: The Last Frontier of Unstructured Data

One year out from the start of the sweeping COVID-19 pandemic that changed working conditions globally, many firms continue to struggle with how to address the challenges they have faced during the transition, particularly voice trading in what has become a virtual market ecosystem. While every company needs to employ remote working capabilities, there is no question that it is difficult to manage and can create challenges when trying to access and store voice data.

Virtual voice data

There are a number of systems that can capture voice data and many others that can retrieve it, store it, and analyze it. However, there is no single standard defining how institutional voice data needs to be captured. Firms have ample amounts of voice metadata detailing where a conversation began and where it ended, but one of the issues the industry faces is that there is no single agreement on how to represent voice data in a unified way. This has resulted in consumers of that data having to integrate and manage a wide array of unstructured data formats.

As customers became more interested – and in some cases compelled – to capture information from voice communications, it became clear that this issue needed to be addressed.

The FINOS Voice Metadata Standardization working group has taken a number of steps to try to unify the metadata. However, in order for these steps to be enacted and become valuable to users, the standard needs to be adopted across the industry to ensure the process is uniform.

While the simple facet of the equation is capturing and storing voice data in a standard-based method, the more difficult element is transcribing the data and then structuring it so that firms can make more informed trading decisions and leverage it for regulatory purposes.

There are numerous vendors that have expertise in natural language processing (NLP), data structuring, and transcribing data. It will be the responsibility of the producers of such data to make it available via standards-based APIs whereby owners of this data can easily make it available to their vendors.

In the cloud versus on-prem

The next barrier is access to the data. When examining the current situation around structuring data for voice, the lead question must be how comfortable companies will be capturing and storing recordings and metadata in the cloud.

As financial institutions continue to acclimate to longer-term remote work strategies, some are employing permanent work-from-home policies, while others are returning to their offices. Regardless of the approach, the reality is that it will be a hybrid of the two for the foreseeable future. This has resulted in not only an increased appetite for the cloud – but an increased need, particularly in enhancing flexibility and redundancy.

Today, the majority of metadata is captured and stored in on-site facilities. A potentially more effective solution is the use of secure cloud storage. This allows users to access data via APIs making it available to analytics vendors of the customer’s choice and allowing them to leverage the full value of the data.

There are some institutional traders that are generating more than 300,000 recordings per month and are using cloud-based APIs that allow them to perform reconciliation at better than 99.9% accuracy. This provides better accuracy than many on-prem systems. For the first time, customers are approaching vendors for more robust cloud-based voice data solutions as opposed to the other way around. These software-based voice trading systems also provide the compliance features necessary to allow proper trading oversight regardless of work environment.

A software-based voice trading system that can be used from anywhere has become much more than just a “nice to have” – it is now a basic necessity.

Future of voice data

Historically compliance and surveillance have been managed with on-premise solutions. But with new challenges of remote working and tremendous advances in technology, effective cloud-based UCC and voice trading solutions are emerging. This shift has forced vendors to offer products that work as well in cloud settings as they do in traditional on-prem, while enabling a seamless transition to what will be the new normal.

For the first time, firms are more open and comfortable allowing their data – including voice and communication data and disaster recovery solutions – to reside in the cloud. With users that traditionally work both on and off the trading floor distributed across numerous locations, the cloud has become the easiest place to store and retrieve data.

Voice data will be made more accessible and available as it migrates to the cloud allowing owners of data to grant access to best-of-breed analytics vendors. Compliance vendors will use standardized APIs to access that data to provide compliance and analytics capabilities regardless of the location of the systems that are generating the data.

Finally, if an industry-wide standard for the data format is agreed to, producers and consumers of that data will find it far easier to provide value to their customers.

This article was originally published in Traders Magazine.

Establishing a Voice Trading Engine for a Distributed Ecosystem

Establishing a Voice Trading Engine for a Distributed Ecosystem

Cloud9 Technologies · <ahref=”https://soundcloud.com/c9tec/establishing-a-voice-trading-engine-for-a-distributed-ecosystem” title=”Establishing a Voice Trading Engine for a Distributed Ecosystem” target=”_blank” style=”color: #cccccc; text-decoration: none;”>Establishing a Voice Trading Engine for a Distributed Ecosystem

As the financial industry continues to transition towards a predominantly virtual environment, institutional traders need to be able to easily access the right tools to stay connected and enhance workflow efficiencies. In the fifth episode of Cloud9’s podcast series, Cloud9’s Chief Innovation Officer and Co-founder Leo Papadopoulos, and Chief Operating Officer Jim Miller, examine what voice trading capabilities institutional traders must have in a distributed workplace and how a cloud-based platform can provide a more secure, mobile and accessible ecosystem.

Navigating Distributed Compliance in Today’s Institutional Landscape

Navigating Distributed Compliance in Today’s Institutional Landscape

The last year has been a whirlwind for everyone. And while regulators such as the CFTC have offered temporary relief and extensions to certain voice trading and record-keeping rules in the increasingly virtual environment, distributed compliance parameters still remain a pivotal element of the institutional landscape. A distributed workforce is not a new concept in any industry, including capital markets. However, a lot of firms continue to struggle with how to address the challenges they’ve faced in the process, particularly in a shifting market ecosystem. While every company needs to employ remote working capabilities, there’s no question that it is difficult to manage and can create potential compliance challenges.

Shifting to the Cloud

With financial institutions acclimating to a longer-term remote strategy and some even beginning to employ permanent work-from-home policies, there has been not only an increased appetite for the cloud – but an increased need. The cloud has become particularly important in enhancing flexibility and redundancy.  For the first time, firms are more open and comfortable allowing their data – including voice and communication data and disaster recovery solutions – to reside in the cloud. With users that traditionally work both on and off the trading floor distributed across numerous locations, the cloud has become the easiest place to store and retrieve data. While compliance vendors have typically offered on-premise solutions, cloud-based support is still in its nascent stages. This has opened the door for compliance providers to offer new and more sophisticated products. Conversely, customers need to be asking whether or not compliance vendors can provide both on-prem and cloud-based support.

Open and Interoperable

At Cloud9, one of our goals has been to establish a community of specialists that collectively addresses the integration, efficiency and mobility challenges that firms have faced in the virtualization of our industry. The key is ensuring that vendors are interoperable to enable efficient workflows and avoid performance issues for customers. The same goes for voice trading APIs, which are becoming increasingly more sophisticated to align with the need for greater flexibility in the institutional trading community. Each company will format their data within APIs a bit differently. As a result, if you’re a compliance vendor for instance, you need to be able to normalize data before it can be used. 

Industry-wide Data Standard

This raises the question of whether or not an industry-wide standard for data is necessary. For now, it’s not imperative but as data sets become larger and more complex, this may be something that we see the industry transition to, especially as teams become more dispersed and compliance oversight becomes more challenging. To learn more about distributed compliance and how to navigate these challenges in our shifting landscape, please sign-up for Cloud9 and EY’s Distributed Compliance Virtual Roundtable on April 8. You can secure your spot by emailing cloud9@paragonpr.com For more information on Cloud9’s voice trading and cloud solutions, please contact us at sales@c9tec.com 

[PODCAST] Extracting Voice Data – The Pivot Point in Institutional Trading

[PODCAST] Extracting Voice Data – The Pivot Point in Institutional Trading

Voice trading continues to be a pivotal element of daily workflows across the institutional marketplace, which means that access to greater voice metadata is imperative for strategic, regulatory and operational purposes. In the fourth episode of Cloud9’s podcast series examining developments in the voice trading landscape, Cloud9’s CAO and Head of Partnerships, Brian Hunt, and Verint’s VP of Product Strategy, Phil Fry, examine the who, where, what and why of accessing greater voice metadata and how this will progress as we near the end of one of the most challenging years in recent memory.