Consulting Data Science Machine Learning Risk Management 
Domino Data Lab
AUGUST 6, 2021
In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards.
CIO Business Intelligence
SEPTEMBER 17, 2024
One area enterprise architects can focus on is developing self-service cloud infrastructure for devops and data science teams. Enterprise architects can act as program sponsors, especially around infrastructure and risk-mediating investments required by IT operations, information security, and data governance functions.
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CIO Business Intelligence
JUNE 12, 2024
CIOs believe that the top three tech initiatives driving these increased IT investments will be security and risk management (45%), artificial intelligence (AI) and machine learning (44%), and business process and IT automation (44%).
CIO Business Intelligence
JULY 18, 2023
The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. The net result?
Smart Data Collective
JUNE 26, 2019
The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics.
datapine
MARCH 31, 2022
Getting an entry-level position at a consulting firm is also a great idea – the big ones include IBM, Accenture, Deloitte, KPMG, and Ernst and Young. Another excellent approach is to gain experience directly in the office of a BI provider, working as a data scientist or a data visualization intern , for instance.
FineReport
MARCH 24, 2024
Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.
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