(USA and Canada) Hayes Williams, Head of Data Governance, R&D at Daiichi Sankyo along with Baz Khuti, President, US at Modak have a conversation on data governance and on how they maintain their continuous momentum. There is still lots of work to do in the field of data management and go…
(USA and Canada) Hayes Williams, Head of Data Governance, R&D at Daiichi Sankyo, together with Baz Khuti, President, US at Modak, discuss how data strategies can support the strategic vision and growth of Daiichi Sankyo in the market. Williams also emphasized the value of managing and mo…
Top 10 Ways to Harness your DG Platform for Data Privacy
In a recent UK Case, the England and Wales High Court court ruled that the use of a vendor’s API to access and extract the customer’s own data constituted a use of, not just the API, but also the vendor’s underlying application. As a result, the customer is required to have a separate applic…
GE Aviation, Sr. Director Data & Analytics: Empowering the Business through Self-Service Initiatives
(US & Canada) Ross Schalmo, Sr. Director, Data & Analytics at GE Aviation and Digital together with Patrick Martin, Business Development Manager at Lingaro discuss the Self-Service Data Program at GE Aviation. They also talk about how they retain their top-level talents and their Ent…
(US & Canada) Jodie Heflin, SR. Director, Global Data & Analytics at Archer Daniels Midland Company along with Patrick Martin, Business Development Manager at Lingaro discuss ways to identify and develop mutually beneficial relationships with technology partners. They also talk about…
It’s no secret the global pandemic has upended every industry, but the health care and data communities have arguably faced the most significant challenges. Innovation in health care has been forced to accelerate at a much faster pace. There is obviously a critical need for personal health care data to both understand and combat the pandemic, which has inevitably led to rising concerns around privacy. This comes back to the same question I have posed in my last article: How do we balance our privacy and healthcare needs amid COVID-19?
(US & Canada) Tom Gottlieb, Chief Data Officer at Fifth Third Bank together with Patrick Martin, Business Development Manager at Lingaro discusses utilizing data in new ways to unlock value. They also talk about adopting Agile Methodology and Agile Mindset in their organization, practici…
(US & Canada) Michelle Hoiseth, Chief Data Officer, Senior Vice President at Paraexel International Clinical Research together with Robert Lutton, Vice President at Sandhill Consultants discuss the workforce readiness in their organization. Michelle also shared her insights about Artific…
(US & Canada) Thomas Dunlap, Chief Data Officer at London Stock Exchange Group together with Robert Lutton, Vice President of Sandhill Consultants talk about the important role of a Chief Data Officer in the organization. Tom also shares his insights about the reasonable skills and quali…
(US & Canada) Todd Henley, Enterprise Data Governance Lead- Cyber Risk and Security Service at American Electric Power, AEP together with Jan Wenda, General Manager at Lingaro North America discusses how they used data through analytics. They also discuss the importance of Meter Data Man…
Data-driven decision making has enabled companies to significantly harness value from data in all aspects of business. Chief data officers’ (CDOs’) leading digital transformation efforts are seeing the importance of data from collection to processing to learning insights from datasets. With innovations in hardware, cloud and algorithms and availability of large datasets and analytical tools, the adoption of data science, artificial intelligence (AI) and machine learning (ML) is exploding. In addition, the AI/ML revolution has provided an impetus to ensure the collection, processing, storage and governance of data are robust and well-managed within the organization. Recognizing the value of data to the enterprise, data governance efforts have scaled up to identify, address and mitigate risks associated with data. As more and more decisions become automated, AI/ML models — which rely heavily on data — face challenges associated with interpretability, bias, explainability, fairness and model governance. Most organizations undergoing digital transformation efforts recognize that data governance and AI/ML model governance are heavily intertwined but continue to treat data and model governance in two separate silos.
(US and Canada) Costi Tudan, Deputy CDO for the U.S. Department of Homeland Security, Cybersecurity & Infrastructure Security discusses the biggest challenges being the deputy CDO, what cultural changes in data mean, and a future vision for data. Costi Tudan is interviewed by Matthew D'E…
