Last week's CDAO presentation on Single-Family Data Governance & Management by Freddie Mac illustrated how traditional back office activities are aligning and impacting front office processes.  We continue our recap of lessons learned at CDAO with this week's focus on risk management. This April, we were delighted to attend as well as participate in the Financial Services-focused Chief Data & Analytics Officer conference in Boston.  This annual gathering brought together senior-level data practitioners in financial services to share their latest innovations, best practices, challenges and use cases.  The concept of monetizing or commercializing data assets is revolutionizing the Financial Services industry by using governed data strategies partnered with business initiatives to realize data-driven transformation benefits.

This April, we were delighted to attend as well as participate in the Financial Services-focused Chief Data & Analytics Officer conference in Boston. This annual gathering brought together senior-level data practitioners in financial services to share their latest innovations, best practices, challenges and use cases.

Our hard work continues to get noticed as Nucleus Research, a global research and advisory firm, has once again recognized us as an Expert in their most recent CRM Value Matrix.

It’s interesting that artificial intelligence is such a hot topic these days because AI itself is not new. The concept of an ‘artificial brain’ was discussed by scientists in the 1930s. In 1950, Alan Turing created the Turing Test to distinguish machines from ‘thinking’ machines.

It’s been astonishing to see the amount of media attention around Artificial Intelligence (AI) in recent months. From the dystopia of HBO’s Westworld to the hype of Salesforce's Einstein, we’ve been inundated with larger than life claims about AI and its abilities. 

The flexibility and cost effectiveness of Apache Hadoop was quickly recognized by many organizations as an effective delivery vehicle to empower business users with operational self-service query and analytic capabilities.  Many organizations established, or are presently establishing, data lakes for operational intelligence query and analytics capabilities for the field personnel who need them most, best understand the data, and are the most capable of actioning insights gleaned. 

Many organizations established, or are presently establishing data lakes as a cost effective means of provisioning operational intelligence query and analytics capabilities directly to the field personnel who need them the most, understand the data the best, and are the most capable of actioning insights gleaned.  Sounds like an ideal arrangement.  

Who doesn’t want their team to work faster? And not just faster, but better as well? It’s what we all want. That’s why ‘increasing productivity’ is a key driver behind many front-office system upgrades. It’s also the reason so many vendors promise productivity improvements. So how do you sort out the empty promises from the legitimate? 

Interested in AI, Intelligent Customer Management, or Chatbots, but having a hard time unpacking what they all mean? Adam Edmonds, VP of Products at NexJ Systems, explains everything you need to know in this series of short videos.
 

High user adoption rates reflect that your company's software investments are being appropriately leveraged, and ideally show that users are engaging with the system. To determine the effectiveness of the software at your company, you need to know your user adoption rates.

The Apache Open Source contributions to Hadoop are numerous and cover a broad portion of a reference architecture. It has been some time since we considered foundational low cost storage and in-place query capabilities. And as we saw in the "Data Lakes" blog posting, many organizations utilized this foundational offering.

In my previous blog, we discussed how Intelligent Customer Management applies to Wealth Management and Private Banking. This blog will do the same but for Commercial and Corporate Banking. If you read my previous blog, you’ll find the description of the mechanics familiar, even though the examples are tailored to Business Banking.