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The Value of the Chief Data Officer Exchange for Financial Services: A Case Study with Stibo Systems

The Value of the Chief Data Officer Exchange for Financial Services: A Case Study with Stibo Systems

Ahead of the Chief Data Officer Exchange for Financial Services, we asked one of our trusted solution providers, Stibo Systems to walk us through why they choose to return to the Exchange year upon year. They provide us with a high-level overview of their business and proceeded to walk us through the 4 stages that took place prior to the CDO FS Exchange: The Challenge, The Process, The Result, and The Conclusion. This explains the value they derived from the Exchange and therefore why they chose to come back.

Top 15 Data Investment Priorities for Financial Services

Top 15 Data Investment Priorities for Financial Services

Ahead of the CDO Exchange FS we surveyed Data leaders from leading Financial Services organisations to discover their greatest challenges and where their investment priorities lie for the near future.

The Evolution of CDO Investment Priorities

The Evolution of CDO Investment Priorities

We uncovered how the CDO investment priorities have developed in recent years with expert insights from Scott Taylor, The Data Whisperer. And get some expert predictions from leading Data practitioners on how the role will develop in the coming years.
The Past, Present, and Future of Data

The Past, Present, and Future of Data

Dun & Bradstreet commissioned a survey of business leaders in the UK and the US to understand how their data management strategies have evolved in the last decade, the challenges they still encounter, and their plans to transform by 2030. 

Case Study: How Unum Identified Cross-Sell Opportunities

Case Study: How Unum Identified Cross-Sell Opportunities

Learn how Unum successfully matched and appended their data to identify cross-sell opportunities and achieve a broader view of their overall market.

Accelerating AI Initiatives with HPE and BlueData

Accelerating AI Initiatives with HPE and BlueData

Enterprise-class organisations across all industries are looking to embrace artificial intelligence (AI). They are beginning to recognise the game-changing and transformative benefits they can attain with AI—and they need to arm their data science teams with the tools and data to drive innovation and business value with machine learning (ML) and deep learning (DL). Data science teams want to leverage their preferred frameworks (TensorFlow, PyTorch, Theano, Caffe2, etc.); learning algorithms (decision trees, Naive Bayes, random forest, XGBoost, etc.); and applications and tools (Jupyter notebooks, RStudio Server, AutoML, H2O.ai, Dataiku, etc.) to develop their models—from data selection and training, to model deployment.

Big Data Challenges and Opportunities

Big Data Challenges and Opportunities

Download the Big Data Challeges & Opportunities for Insurance, Retail and Investment Banking eBook ahead of the Chief Data Officer Exchange, Financial Services.

How to Meet Chief Data Officers

How to Meet Chief Data Officers

So, how do you meet CDOs? The Chief Data Officer Exchange for Financial Services can put you in front of the right people, that you're interested in. Find out how by taking a look at our eBook!